@ f6488c62:c929299d

เรื่องจริงที่ต้องเตือน: เมื่อ "ความรวยจากคริปโต" กลายเป็นดาบสองคมที่อันตรายถึงชีวิต! 🔪💰

ในขณะที่หลายคนยินดีกับกำไรจาก Bitcoin และคริปโตอื่นๆ มีเรื่องราวอีกด้านที่น่าสะเทือนใจเกิดขึ้นทั่วโลก โดยเฉพาะเหตุการณ์ "ลักพาตัวเพื่อเรียกค่าไถ่เป็นคริปโต" ที่ทวีความรุนแรงขึ้น

ข้อมูลและข่าวจากหลายแหล่งยืนยันว่า ผู้ใช้งานคริปโตกำลังตกเป็นเป้าหมายของอาชญากร โดยใช้วิธีการที่โหดเหี้ยม เช่น การทำร้ายร่างกาย หรือแม้กระทั่งการ "ตัดนิ้ว" เพื่อบีบบังคับให้เหยื่อโอนคริปโตใน Cold Wallet ที่เก็บไว้! เคสล่าสุดที่เกิดขึ้นในฝรั่งเศสและสหรัฐฯ ในช่วงปี 2025 เป็นเครื่องย้ำเตือนชั้นดี

ทำไมพวกเขาถึงเลือก "คุณ" ที่เป็นนักลงทุนคริปโต? ปัจจัยสำคัญคือ: มูลค่าสินทรัพย์ที่คุณถือสูงมาก, การเก็บ Private Key ของ Cold Wallet คือจุดอ่อนที่คนร้ายใช้ความรุนแรงบังคับเอาได้ง่าย, และที่น่าตกใจคือ การ "โพสต์โชว์ความรวย" หรือพูดถึงคริปโตมากเกินไปบนโซเชียลมีเดีย กำลังเป็นการชี้เป้าให้ตัวเอง!

ข้อคิดและแนวทางป้องกันตัวที่สำคัญสุดๆ:

จงเป็น "Ghost" ในโลกคริปโต: อย่าให้ใครรู้ว่าคุณถืออะไร เท่าไหร่ หรือรวยแค่ไหน การปิดทองหลังพระในโลกคริปโตอาจช่วยรักษาชีวิตคุณได้ ยกระดับความปลอดภัย "ชีวิตจริง": คิดถึงกล้องวงจรปิด, ระบบรักษาความปลอดภัยที่บ้าน, การจ้างบอดี้การ์ด (ถ้าจำเป็นจริงๆ), และระวังการเดินทางคนเดียว บริหารจัดการ "กุญแจ" ของคุณให้ดีที่สุด: Cold Wallet สำคัญมาก แต่การเก็บ Private Key ให้ปลอดภัยจากสายตาคนอื่น และการกระจายความเสี่ยงโดยแบ่งทรัพย์สินไปหลาย Wallet ก็สำคัญไม่แพ้กัน ความรุนแรงในวงการคริปโตเป็นบทเรียนราคาแพงที่บอกว่า ความมั่งคั่งที่มองไม่เห็นในโลกดิจิทัลนั้น มีราคาค่างวดที่ต้องจ่ายในโลกจริงหากประมาท การลงทุนอย่างรอบคอบ ไม่ใช่แค่การดูกราฟ แต่คือการประเมินและจัดการความเสี่ยงใน "ชีวิต" ของคุณด้วย!

แชร์โพสนี้เพื่อเตือนเพื่อนๆ นักลงทุนทุกคน ให้ปลอดภัยทั้งทรัพย์สินและชีวิตครับ/ค่ะ!

Crypto #Bitcoin #Ethereum #ColdWallet #PrivateKey #Security #Crime #DigitalAssets #Investor #SafetyFirst #เตือนภัย #ลงทุนอย่างปลอดภัย

@ d61f3bc5:0da6ef4a

I remember the first gathering of Nostr devs two years ago in Costa Rica. We were all psyched because Nostr appeared to solve the problem of self-sovereign online identity and decentralized publishing. The protocol seemed well-suited for textual content, but it wasn't really designed to handle binary files, like images or video.

The Problem

When I publish a note that contains an image link, the note itself is resilient thanks to Nostr, but if the hosting service disappears or takes my image down, my note will be broken forever. We need a way to publish binary data without relying on a single hosting provider.

We were discussing how there really was no reliable solution to this problem even outside of Nostr. Peer-to-peer attempts like IPFS simply didn't work; they were hopelessly slow and unreliable in practice. Torrents worked for popular files like movies, but couldn't be relied on for general file hosting.

Awesome Blossom

A year later, I attended the Sovereign Engineering demo day in Madeira, organized by Pablo and Gigi. Many projects were presented over a three hour demo session that day, but one really stood out for me.

Introduced by hzrd149 and Stu Bowman, Blossom blew my mind because it showed how we can solve complex problems easily by simply relying on the fact that Nostr exists. Having an open user directory, with the corresponding social graph and web of trust is an incredible building block.

Since we can easily look up any user on Nostr and read their profile metadata, we can just get them to simply tell us where their files are stored. This, combined with hash-based addressing (borrowed from IPFS), is all we need to solve our problem.

How Blossom Works

The Blossom protocol (Blobs Stored Simply on Mediaservers) is formally defined in a series of BUDs (Blossom Upgrade Documents). Yes, Blossom is the most well-branded protocol in the history of protocols. Feel free to refer to the spec for details, but I will provide a high level explanation here.

The main idea behind Blossom can be summarized in three points:

1. Users specify which media server(s) they use via their public Blossom settings published on Nostr;
2. All files are uniquely addressable via hashes;
3. If an app fails to load a file from the original URL, it simply goes to get it from the server(s) specified in the user's Blossom settings.

Just like Nostr itself, the Blossom protocol is dead-simple and it works!

Let's use this image as an example:

If you look at the URL for this image, you will notice that it looks like this:

blossom.primal.net/c1aa63f983a44185d039092912bfb7f33adcf63ed3cae371ebe6905da5f688d0.jpg

All Blossom URLs follow this format:

[server]/[file-hash].[extension]

The file hash is important because it uniquely identifies the file in question. Apps can use it to verify that the file they received is exactly the file they requested. It also gives us the ability to reliably get the same file from a different server.

Nostr users declare which media server(s) they use by publishing their Blossom settings. If I store my files on Server A, and they get removed, I can simply upload them to Server B, update my public Blossom settings, and all Blossom-capable apps will be able to find them at the new location. All my existing notes will continue to display media content without any issues.

Blossom Mirroring

Let's face it, re-uploading files to another server after they got removed from the original server is not the best user experience. Most people wouldn't have the backups of all the files, and/or the desire to do this work.

This is where Blossom's mirroring feature comes handy. In addition to the primary media server, a Blossom user can set one one or more mirror servers. Under this setup, every time a file is uploaded to the primary server the Nostr app issues a mirror request to the primary server, directing it to copy the file to all the specified mirrors. This way there is always a copy of all content on multiple servers and in case the primary becomes unavailable, Blossom-capable apps will automatically start loading from the mirror.

Mirrors are really easy to setup (you can do it in two clicks in Primal) and this arrangement ensures robust media handling without any central points of failure. Note that you can use professional media hosting services side by side with self-hosted backup servers that anyone can run at home.

Using Blossom Within Primal

Blossom is natively integrated into the entire Primal stack and enabled by default. If you are using Primal 2.2 or later, you don't need to do anything to enable Blossom, all your media uploads are blossoming already.

To enhance user privacy, all Primal apps use the "/media" endpoint per BUD-05, which strips all metadata from uploaded files before they are saved and optionally mirrored to other Blossom servers, per user settings. You can use any Blossom server as your primary media server in Primal, as well as setup any number of mirrors:

## Conclusion

For such a simple protocol, Blossom gives us three major benefits:

1. Verifiable authenticity. All Nostr notes are always signed by the note author. With Blossom, the signed note includes a unique hash for each referenced media file, making it impossible to falsify.
2. File hosting redundancy. Having multiple live copies of referenced media files (via Blossom mirroring) greatly increases the resiliency of media content published on Nostr.
3. Censorship resistance. Blossom enables us to seamlessly switch media hosting providers in case of censorship.

Thanks for reading; and enjoy! 🌸

@ 2b998b04:86727e47

Web3 talked a lot about freedom.\ But it didn’t ask much of me.

Participation meant showing up, clicking, co-signing, reacting.\ A few emoji could pass a vote. A few posts could signal alignment.\ But there was no real cost.\ No friction.\ No weight.

It felt easy — and eventually, it felt empty.

---

Bitcoin, by contrast, never asked for my attention.\ It demanded my effort.

Proof of Work isn’t just what secures Bitcoin.\ It’s what shapes the people who actually engage with it.

You can’t fake time.\ You can’t fake energy.\ You can’t fake commitment.

If you want to mine a block, you need to burn electricity.\ If you want to hold your keys, you need to learn what that means.\ If you want to build with Bitcoin, you’re staking skin, not vibes.

---

Eventually I realized: this isn’t just a consensus algorithm.\ It’s a way of seeing the world.

Proof of Work is an ethic.\ It values restraint.\ It rewards effort.\ It penalizes shortcuts.

It’s the opposite of what most of the internet has become.

---

Web3 tried to engineer consensus through incentive design — but consensus without cost is hollow.

In Bitcoin, there is no shortcut to agreement.\ You either do the work, or you don’t get a say.\ You can’t tweet your way into a block. You can’t fork your way into consensus.\ You earn your way — through time, electricity, and conviction.

---

The deeper I leaned into Bitcoin, the more it reshaped me:

• I stopped trying to “move fast” and started focusing on lasting things.

• I began to care more about how work was verified, not just how it looked.

• I started pruning systems — and relationships — that couldn’t carry weight.

Even in how I think about faith, work, rest, and community — I’ve started asking:

Is this real?\ Does this cost anything?\ Is this proof of something?

---

Fiat culture taught me to act like time was cheap.\ PoW culture reminded me: time is everything.

Fiat let me pretend I could get something for nothing.\ PoW told me the truth — you can’t.

---

I no longer want to participate in systems that reward shortcuts.\ I want to build slowly, honestly, and with weight.

Proof of Work isn’t just what runs Bitcoin.\ It’s what reforms me.

---

⚡ If this resonates, zap me some sats — or pass it forward.\ 🤖 Drafted with the help of ChatGPT, who also prefers work over noise.

@ 52b4a076:e7fad8bd

Introduction

Me and Fishcake have been working on infrastructure for Noswhere and Nostr.build. Part of this involves processing a large amount of Nostr events for features such as search, analytics, and feeds.

I have been recently developing nosdex v3, a newer version of the Noswhere scraper that is designed for maximum performance and fault tolerance using FoundationDB (FDB).

Fishcake has been working on a processing system for Nostr events to use with NB, based off of Cloudflare (CF) Pipelines, which is a relatively new beta product. This evening, we put it all to the test.

First preparations

We set up a new CF Pipelines endpoint, and I implemented a basic importer that took data from the nosdex database. This was quite slow, as it did HTTP requests synchronously, but worked as a good smoke test.

Asynchronous indexing

I implemented a high-contention queue system designed for highly parallel indexing operations, built using FDB, that supports: - Fully customizable batch sizes - Per-index queues - Hundreds of parallel consumers - Automatic retry logic using lease expiration

When the scraper first gets an event, it will process it and eventually write it to the blob store and FDB. Each new event is appended to the event log.

On the indexing side, a Queuer will read the event log, and batch events (usually 2K-5K events) into one work job. This work job contains: - A range in the log to index - Which target this job is intended for - The size of the job and some other metadata

Each job has an associated leasing state, which is used to handle retries and prioritization, and ensure no duplication of work.

Several Workers monitor the index queue (up to 128) and wait for new jobs that are available to lease.

Once a suitable job is found, the worker acquires a lease on the job and reads the relevant events from FDB and the blob store.

Depending on the indexing type, the job will be processed in one of a number of ways, and then marked as completed or returned for retries.

In this case, the event is also forwarded to CF Pipelines.

Trying it out

The first attempt did not go well. I found a bug in the high-contention indexer that led to frequent transaction conflicts. This was easily solved by correcting an incorrectly set parameter.

We also found there were other issues in the indexer, such as an insufficient amount of threads, and a suspicious decrease in the speed of the Queuer during processing of queued jobs.

Along with fixing these issues, I also implemented other optimizations, such as deprioritizing Worker DB accesses, and increasing the batch size.

To fix the degraded Queuer performance, I ran the backfill job by itself, and then started indexing after it had completed.

Bottlenecks, bottlenecks everywhere

After implementing these fixes, there was an interesting problem: The DB couldn't go over 80K reads per second. I had encountered this limit during load testing for the scraper and other FDB benchmarks.

As I suspected, this was a client thread limitation, as one thread seemed to be using high amounts of CPU. To overcome this, I created a new client instance for each Worker.

After investigating, I discovered that the Go FoundationDB client cached the database connection. This meant all attempts to create separate DB connections ended up being useless.

Using OpenWithConnectionString partially resolved this issue. (This also had benefits for service-discovery based connection configuration.)

To be able to fully support multi-threading, I needed to enabled the FDB multi-client feature. Enabling it also allowed easier upgrades across DB versions, as FDB clients are incompatible across versions:

FDB_NETWORK_OPTION_EXTERNAL_CLIENT_LIBRARY="/lib/libfdb_c.so" FDB_NETWORK_OPTION_CLIENT_THREADS_PER_VERSION="16"

Breaking the 100K/s reads barrier

After implementing support for the multi-threaded client, we were able to get over 100K reads per second.

You may notice after the restart (gap) the performance dropped. This was caused by several bugs: 1. When creating the CF Pipelines endpoint, we did not specify a region. The automatically selected region was far away from the server. 2. The amount of shards were not sufficient, so we increased them. 3. The client overloaded a few HTTP/2 connections with too many requests.

I implemented a feature to assign each Worker its own HTTP client, fixing the 3rd issue. We also moved the entire storage region to West Europe to be closer to the servers.

After these changes, we were able to easily push over 200K reads/s, mostly limited by missing optimizations:

It's shards all the way down

While testing, we also noticed another issue: At certain times, a pipeline would get overloaded, stalling requests for seconds at a time. This prevented all forward progress on the Workers.

We solved this by having multiple pipelines: A primary pipeline meant to be for standard load, with moderate batching duration and less shards, and high-throughput pipelines with more shards.

Each Worker is assigned a pipeline on startup, and if one pipeline stalls, other workers can continue making progress and saturate the DB.

The stress test

After making sure everything was ready for the import, we cleared all data, and started the import.

The entire import lasted 20 minutes between 01:44 UTC and 02:04 UTC, reaching a peak of: - 0.25M requests per second - 0.6M keys read per second - 140MB/s reads from DB - 2Gbps of network throughput

FoundationDB ran smoothly during this test, with: - Read times under 2ms - Zero conflicting transactions - No overloaded servers

CF Pipelines held up well, delivering batches to R2 without any issues, while reaching its maximum possible throughput.

Finishing notes

Me and Fishcake have been building infrastructure around scaling Nostr, from media, to relays, to content indexing. We consistently work on improving scalability, resiliency and stability, even outside these posts.

Many things, including what you see here, are already a part of Nostr.build, Noswhere and NFDB, and many other changes are being implemented every day.

If you like what you are seeing, and want to integrate it, get in touch. :)

If you want to support our work, you can zap this post, or register for nostr.land and nostr.build today.

@ 609f186c:0aa4e8af

Google says that Android 16 is slated to feature an optional high security mode. Cool.

Advanced Protection has a bunch of requested features that address the kinds of threats we worry about.

It's the kind of 'turn this one thing on if you face elevated risk' that we've been asking for from Google.

And likely reflects some learning after Google watched Apple 's Lockdown Mode play out. I see a lot of value in this..

Here are some features I'm excited to see play out:

The Intrusion Logging feature is interesting & is going to impose substantial cost on attackers trying to hide evidence of exploitation. Logs get e2ee encrypted into the cloud. This one is spicy.

The Offline Lock, Inactivity Reboot & USB protection will frustrate non-consensual attempts to physically grab device data.

Memory Tagging Extension is going to make a lot of attack & exploitation categories harder.

2G Network Protection & disabling Auto-connect to insecure networks are going to address categories of threat from things like IMSI catchers & hostile WiFi.

I'm curious about some other features such as:

Spam & Scam detection: Google messages feature that suggests message content awareness and some kind of scanning.

Scam detection for Phone by Google is interesting & coming later. The way it is described suggests phone conversation awareness. This also addresses a different category of threat than the stuff above. I can see it addressing a whole category of bad things that regular users (& high risk ones too!) face. Will be curious how privacy is addressed or if this done purely locally. Getting messy: Friction points? I see Google thinking these through, but I'm going to add a potential concern: what will users do when they encounter friction? Will they turn this off & forget to re-enable? We've seen users turn off iOS Lockdown Mode when they run into friction for specific websites or, say, legacy WiFi. They then forget to turn it back on. And stay vulnerable.

Bottom line: users disabling Apple's Lockdown Mode for a temporary thing & leaving it off because they forget to turn it on happens a lot. This is a serious % of users in my experience...

And should be factored into design decisions for similar modes. I feel like a good balance is a 'snooze button' or equivalent so that users can disable all/some features for a brief few minute period to do something they need to do, and then auto re-enable.

Winding up:

I'm excited to see how Android Advanced Protection plays with high risk users' experiences. I'm also super curious whether the spam/scam detection features may also be helpful to more vulnerable users (think: aging seniors)...

Niche but important:

Some users, esp. those that migrated to security & privacy-focused Android distros because of because of the absence of such a feature are clear candidates for it... But they may also voice privacy concerns around some of the screening features. Clear communication from the Google Security / Android team will be key here.

@ 7bdef7be:784a5805

We value sovereignty, privacy and security when accessing online content, using several tools to achieve this, like open protocols, open OSes, open software products, Tor and VPNs.

The problem

Talking about our social presence, we can manually build up our follower list (social graph), pick a Nostr client that is respectful of our preferences on what to show and how, but with the standard following mechanism, our main feed is public, so everyone can actually snoop what we are interested in, and what is supposable that we read daily.

The solution

Nostr has a simple solution for this necessity: encrypted lists. Lists are what they appear, a collection of people or interests (but they can also group much other stuff, see NIP-51). So we can create lists with contacts that we don't have in our main social graph; these lists can be used primarily to create dedicated feeds, but they could have other uses, for example, related to monitoring. The interesting thing about lists is that they can also be encrypted, so unlike the basic following list, which is always public, we can hide the lists' content from others. The implications are obvious: we can not only have a more organized way to browse content, but it is also really private one.

One might wonder what use can really be made of private lists; here are some examples:

• Browse “can't miss” content from users I consider a priority;
• Supervise competitors or adversarial parts;
• Monitor sensible topics (tags);
• Following someone without being publicly associated with them, as this may be undesirable;

The benefits in terms of privacy as usual are not only related to the casual, or programmatic, observer, but are also evident when we think of how many bots scan our actions to profile us.

The current state

Unfortunately, lists are not widely supported by Nostr clients, and encrypted support is a rarity. Often the excuse to not implement them is that they are harder to develop, since they require managing the encryption stuff (NIP-44). Nevertheless, developers have an easier option to start offering private lists: give the user the possibility to simply mark them as local-only, and never push them to the relays. Even if the user misses the sync feature, this is sufficient to create a private environment.

To date, as far as I know, the best client with list management is Gossip, which permits to manage both encrypted and local-only lists.

Beg your Nostr client to implement private lists!

@ 04c915da:3dfbecc9

One of the most common criticisms leveled against nostr is the perceived lack of assurance when it comes to data storage. Critics argue that without a centralized authority guaranteeing that all data is preserved, important information will be lost. They also claim that running a relay will become prohibitively expensive. While there is truth to these concerns, they miss the mark. The genius of nostr lies in its flexibility, resilience, and the way it harnesses human incentives to ensure data availability in practice.

A nostr relay is simply a server that holds cryptographically verifiable signed data and makes it available to others. Relays are simple, flexible, open, and require no permission to run. Critics are right that operating a relay attempting to store all nostr data will be costly. What they miss is that most will not run all encompassing archive relays. Nostr does not rely on massive archive relays. Instead, anyone can run a relay and choose to store whatever subset of data they want. This keeps costs low and operations flexible, making relay operation accessible to all sorts of individuals and entities with varying use cases.

Critics are correct that there is no ironclad guarantee that every piece of data will always be available. Unlike bitcoin where data permanence is baked into the system at a steep cost, nostr does not promise that every random note or meme will be preserved forever. That said, in practice, any data perceived as valuable by someone will likely be stored and distributed by multiple entities. If something matters to someone, they will keep a signed copy.

Nostr is the Streisand Effect in protocol form. The Streisand effect is when an attempt to suppress information backfires, causing it to spread even further. With nostr, anyone can broadcast signed data, anyone can store it, and anyone can distribute it. Try to censor something important? Good luck. The moment it catches attention, it will be stored on relays across the globe, copied, and shared by those who find it worth keeping. Data deemed important will be replicated across servers by individuals acting in their own interest.

Nostr’s distributed nature ensures that the system does not rely on a single point of failure or a corporate overlord. Instead, it leans on the collective will of its users. The result is a network where costs stay manageable, participation is open to all, and valuable verifiable data is stored and distributed forever.

@ 21335073:a244b1ad

Someone asked for my thoughts, so I’ll share them thoughtfully. I’m not here to dictate how to promote Nostr—I’m still learning about it myself. While I’m not new to Nostr, freedom tech is a newer space for me. I’m skilled at advocating for topics I deeply understand, but freedom tech isn’t my expertise, so take my words with a grain of salt. Nothing I say is set in stone.

Those who need Nostr the most are the ones most vulnerable to censorship on other platforms right now. Reaching them requires real-time awareness of global issues and the dynamic relationships between governments and tech providers, which can shift suddenly. Effective Nostr promoters must grasp this and adapt quickly.

The best messengers are people from or closely tied to these at-risk regions—those who truly understand the local political and cultural dynamics. They can connect with those in need when tensions rise. Ideal promoters are rational, trustworthy, passionate about Nostr, but above all, dedicated to amplifying people’s voices when it matters most.

Forget influencers, corporate-backed figures, or traditional online PR—it comes off as inauthentic, corny, desperate and forced. Nostr’s promotion should be grassroots and organic, driven by a few passionate individuals who believe in Nostr and the communities they serve.

The idea that “people won’t join Nostr due to lack of reach” is nonsense. Everyone knows X’s “reach” is mostly with bots. If humans want real conversations, Nostr is the place. X is great for propaganda, but Nostr is for the authentic voices of the people.

Those spreading Nostr must be so passionate they’re willing to onboard others, which is time-consuming but rewarding for the right person. They’ll need to make Nostr and onboarding a core part of who they are. I see no issue with that level of dedication. I’ve been known to get that way myself at times. It’s fun for some folks.

With love, I suggest not adding Bitcoin promotion with Nostr outreach. Zaps already integrate that element naturally. (Still promote within the Bitcoin ecosystem, but this is about reaching vulnerable voices who needed Nostr yesterday.)

To promote Nostr, forget conventional strategies. “Influencers” aren’t the answer. “Influencers” are not the future. A trusted local community member has real influence—reach them. Connect with people seeking Nostr’s benefits but lacking the technical language to express it. This means some in the Nostr community might need to step outside of the Bitcoin bubble, which is uncomfortable but necessary. Thank you in advance to those who are willing to do that.

I don’t know who is paid to promote Nostr, if anyone. This piece isn’t shade. But it’s exhausting to see innocent voices globally silenced on corporate platforms like X while Nostr exists. Last night, I wondered: how many more voices must be censored before the Nostr community gets uncomfortable and thinks creatively to reach the vulnerable?

A warning: the global need for censorship-resistant social media is undeniable. If Nostr doesn’t make itself known, something else will fill that void. Let’s start this conversation.

@ b83a28b7:35919450

This article was originally part of the sermon of Plebchain Radio Episode 111 (May 2, 2025) that nostr:nprofile1qyxhwumn8ghj7mn0wvhxcmmvqyg8wumn8ghj7mn0wd68ytnvv9hxgqpqtvqc82mv8cezhax5r34n4muc2c4pgjz8kaye2smj032nngg52clq7fgefr and I did with nostr:nprofile1qythwumn8ghj7ct5d3shxtnwdaehgu3wd3skuep0qyt8wumn8ghj7ct4w35zumn0wd68yvfwvdhk6tcqyzx4h2fv3n9r6hrnjtcrjw43t0g0cmmrgvjmg525rc8hexkxc0kd2rhtk62 and nostr:nprofile1qyxhwumn8ghj7mn0wvhxcmmvqyg8wumn8ghj7mn0wd68ytnvv9hxgqpq4wxtsrj7g2jugh70pfkzjln43vgn4p7655pgky9j9w9d75u465pqahkzd0 of the nostr:nprofile1qythwumn8ghj7ct5d3shxtnwdaehgu3wd3skuep0qyt8wumn8ghj7etyv4hzumn0wd68ytnvv9hxgtcqyqwfvwrccp4j2xsuuvkwg0y6a20637t6f4cc5zzjkx030dkztt7t5hydajn

Listen to the full episode here:

<<https://fountain.fm/episode/Ln9Ej0zCZ5dEwfo8w2Ho>>

---

Bitcoin has always been a narrative revolution disguised as code. White paper, cypherpunk lore, pizza‑day legends - every block is a paragraph in the world’s most relentless epic. But code alone rarely converts the skeptic; it’s the camp‑fire myth that slips past the prefrontal cortex and shakes hands with the limbic system. People don’t adopt protocols first - they fall in love with protagonists.

Early adopters heard the white‑paper hymn, but most folks need characters first: a pizza‑day dreamer; a mother in a small country, crushed by the cost of remittance; a Warsaw street vendor swapping złoty for sats. When their arcs land, the brain releases a neurochemical OP_RETURN which says, “I belong in this plot.” That’s the sly roundabout orange pill: conviction smuggled inside catharsis.

That’s why, from 22–25 May in Warsaw’s Kinoteka, the Bitcoin Film Fest is loading its reels with rebellion. Each documentary, drama, and animated rabbit‑hole is a stealth wallet, zipping conviction straight into the feels of anyone still clasped within the cold claw of fiat. You come for the plot, you leave checking block heights.

---

Here's the clip of the sermon from the episode:

nostr:nevent1qvzqqqqqqypzpwp69zm7fewjp0vkp306adnzt7249ytxhz7mq3w5yc629u6er9zsqqsy43fwz8es2wnn65rh0udc05tumdnx5xagvzd88ptncspmesdqhygcrvpf2

@ 2b998b04:86727e47

never fully left Bitcoin. But for a while, I treated it like an asset — not a foundation.

It sat quietly in the background while I explored ecosystems that promised more features, more flexibility, more “community.” But the deeper I went into Web3, the more I realized what I was missing: clarity. Conviction. Limits that meant something.

Bitcoin never sold me hype. It just sat there, silently verifying everything.

---

When I finally returned to it — not as an asset, but as a philosophy — it wasn’t with fanfare.\ It was more like waking up in a room I had forgotten I built.

Reading The Bitcoin Standard didn’t just shift how I think about money.\ It reframed how I saw time, trust, and value itself.

Fiat incentivizes urgency.\ Bitcoin forces patience.\ Fiat rewards noise.\ Bitcoin rewards work.

It hit me: I had been operating with fiat assumptions in more areas than I wanted to admit — not just in trading or investing, but in how I approached relationships, goals, even faith.

---

I started pruning.

I stopped trading altcoins altogether.\ I stopped measuring success in dollars and started thinking in sats.\ I stepped out of endless Discord threads and Telegram pings — and felt relief I hadn’t known I needed.

I started building more quietly.\ And more honestly.

Even in my non-financial life, things began to change.\ Low time preference showed up in how I approached relationships.\ In how I treated rest.\ In how I stopped chasing every new opportunity and started focusing on stewardship — of capital, energy, and attention.\ And I’ve been trying to become more patient — though I think that’s more the Holy Spirit’s work in me than Bitcoin’s.

---

In some ways, it wasn’t just a return.\ It was a repentance.

A turning away from the illusion of infinite leverage, and back toward a system that demanded real cost.\ Bitcoin doesn’t flatter. It disciplines.\ And that’s exactly what I needed.

---

I didn’t need to be early to the next thing.\ I needed to go deeper with the one thing that still made sense.

Bitcoin didn’t need me to return.\ But I’m grateful I did.

---

⚡ If this resonates, zap me some sats — or share it forward.\ 🤖 Drafted with the help of ChatGPT, who never once tried to sell me a token.

#ProofOfWork #BitcoinNotCrypto #TheReturn #StillBuilding #LowTimePreference #TimeNotTokens

@ 08f96856:ffe59a09

เมื่อพูดถึง Bitcoin Standard หลายคนมักนึกถึงภาพโลกอนาคตที่ทุกคนใช้บิตคอยน์ซื้อกาแฟหรือของใช้ในชีวิตประจำวัน ภาพแบบนั้นดูเหมือนไกลตัวและเป็นไปไม่ได้ในความเป็นจริง หลายคนถึงกับพูดว่า “คงไม่ทันเห็นในช่วงชีวิตนี้หรอก” แต่ในมุมมองของผม Bitcoin Standard อาจไม่ได้เริ่มต้นจากการที่เราจ่ายบิตคอยน์โดยตรงในร้านค้า แต่อาจเริ่มจากบางสิ่งที่เงียบกว่า ลึกกว่า และเกิดขึ้นแล้วในขณะนี้ นั่นคือ การล่มสลายทีละน้อยของระบบเฟียตที่เราใช้กันอยู่

ระบบเงินที่อิงกับอำนาจรัฐกำลังเข้าสู่ช่วงขาลง รัฐบาลทั่วโลกกำลังจมอยู่ในภาระหนี้ระดับประวัติการณ์ แม้แต่ประเทศมหาอำนาจก็เริ่มแสดงสัญญาณของภาวะเสี่ยงผิดนัดชำระหนี้ อัตราเงินเฟ้อกลายเป็นปัญหาเรื้อรังที่ไม่มีท่าทีจะหายไป ธนาคารที่เคยโอนฟรีเริ่มกลับมาคิดค่าธรรมเนียม และประชาชนก็เริ่มรู้สึกถึงการเสื่อมศรัทธาในระบบการเงินดั้งเดิม แม้จะยังพูดกันไม่เต็มเสียงก็ตาม

ในขณะเดียวกัน บิตคอยน์เองก็กำลังพัฒนาแบบเงียบ ๆ เงียบ... แต่ไม่เคยหยุด โดยเฉพาะในระดับ Layer 2 ที่เริ่มแสดงศักยภาพอย่างจริงจัง Lightning Network เป็น Layer 2 ที่เปิดใช้งานมาได้ระยะเวลสหนึ่ง และยังคงมีบทบาทสำคัญที่สุดในระบบนิเวศของบิตคอยน์ มันทำให้การชำระเงินเร็วขึ้น มีต้นทุนต่ำ และไม่ต้องบันทึกทุกธุรกรรมลงบล็อกเชน เครือข่ายนี้กำลังขยายตัวทั้งในแง่ของโหนดและการใช้งานจริงทั่วโลก

ขณะเดียวกัน Layer 2 ทางเลือกอื่นอย่าง Ark Protocol ก็กำลังพัฒนาเพื่อตอบโจทย์ด้านความเป็นส่วนตัวและประสบการณ์ใช้งานที่ง่าย BitVM เปิดแนวทางใหม่ให้บิตคอยน์รองรับ smart contract ได้ในระดับ Turing-complete ซึ่งทำให้เกิดความเป็นไปได้ในกรณีใช้งานอีกมากมาย และเทคโนโลยีที่น่าสนใจอย่าง Taproot Assets, Cashu และ Fedimint ก็ทำให้การออกโทเคนหรือสกุลเงินที่อิงกับบิตคอยน์เป็นจริงได้บนโครงสร้างของบิตคอยน์เอง

เทคโนโลยีเหล่านี้ไม่ใช่การเติบโตแบบปาฏิหาริย์ แต่มันคืบหน้าอย่างต่อเนื่องและมั่นคง และนั่นคือเหตุผลที่มันจะ “อยู่รอด” ได้ในระยะยาว เมื่อฐานของความน่าเชื่อถือไม่ใช่บริษัท รัฐบาล หรือทุน แต่คือสิ่งที่ตรวจสอบได้และเปลี่ยนกฎไม่ได้

แน่นอนว่าบิตคอยน์ต้องแข่งขันกับ stable coin, เงินดิจิทัลของรัฐ และ cryptocurrency อื่น ๆ แต่สิ่งที่ทำให้มันเหนือกว่านั้นไม่ใช่ฟีเจอร์ หากแต่เป็นความทนทาน และความมั่นคงของกฎที่ไม่มีใครเปลี่ยนได้ ไม่มีทีมพัฒนา ไม่มีบริษัท ไม่มีประตูปิด หรือการยึดบัญชี มันยืนอยู่บนคณิตศาสตร์ พลังงาน และเวลา

หลายกรณีใช้งานที่เคยถูกทดลองในโลกคริปโตจะค่อย ๆ เคลื่อนเข้ามาสู่บิตคอยน์ เพราะโครงสร้างของมันแข็งแกร่งกว่า ไม่ต้องการทีมพัฒนาแกนกลาง ไม่ต้องพึ่งกลไกเสี่ยงต่อการผูกขาด และไม่ต้องการ “ความเชื่อใจ” จากใครเลย

Bitcoin Standard ที่ผมพูดถึงจึงไม่ใช่การเปลี่ยนแปลงแบบพลิกหน้ามือเป็นหลังมือ แต่คือการ “เปลี่ยนฐานของระบบ” ทีละชั้น ระบบการเงินใหม่ที่อิงอยู่กับบิตคอยน์กำลังเกิดขึ้นแล้ว มันไม่ใช่โลกที่ทุกคนถือเหรียญบิตคอยน์ แต่มันคือโลกที่คนใช้อาจไม่รู้ตัวด้วยซ้ำว่า “สิ่งที่เขาใช้นั้นอิงอยู่กับบิตคอยน์”

ผู้คนอาจใช้เงินดิจิทัลที่สร้างบน Layer 3 หรือ Layer 4 ผ่านแอป ผ่านแพลตฟอร์ม หรือผ่านสกุลเงินใหม่ที่ดูไม่ต่างจากเดิม แต่เบื้องหลังของระบบจะผูกไว้กับบิตคอยน์

และถ้ามองในเชิงพัฒนาการ บิตคอยน์ก็เหมือนกับอินเทอร์เน็ต ครั้งหนึ่งอินเทอร์เน็ตก็ถูกมองว่าเข้าใจยาก ต้องพิมพ์ http ต้องรู้จัก TCP/IP ต้องตั้ง proxy เอง แต่ปัจจุบันผู้คนใช้งานอินเทอร์เน็ตโดยไม่รู้ว่าเบื้องหลังมีอะไรเลย บิตคอยน์กำลังเดินตามเส้นทางเดียวกัน โปรโตคอลกำลังถอยออกจากสายตา และวันหนึ่งเราจะ “ใช้มัน” โดยไม่ต้องรู้ว่ามันคืออะไร

หากนับจากช่วงเริ่มต้นของอินเทอร์เน็ตในยุค 1990 จนกลายเป็นโครงสร้างหลักของโลกในสองทศวรรษ เส้นเวลาของบิตคอยน์ก็กำลังเดินตามรอยเท้าของอินเทอร์เน็ต และถ้าเราเชื่อว่าวัฏจักรของเทคโนโลยีมีจังหวะของมันเอง เราก็จะรู้ว่า Bitcoin Standard นั้นไม่ใช่เรื่องของอนาคตไกลโพ้น แต่มันเกิดขึ้นแล้ว

siamstr

@ 1c19eb1a:e22fb0bc

What is #Nostrversity? It's where you can come to learn about all the great tools, clients, and amazing technology that is being built on #Nostr, for Nostr, or utilized by Nostr, presented in an approachable and non-technical format. If you have ever wondered what Blossom, bunker signing, or Nostr Wallet Connect are, how they work, and how you can put them to work to improve your Nostr experience, this is the place you can read about them without needing a computer-science degree ahead of time.

Between writing full-length reviews, which take a fair amount of time to research, test, and draft, I will post shorter articles with the Nostrversity hashtag to provide a Nostr-native resource to help the community understand and utilize the tools our illustrious developers are building. These articles will be much shorter, and more digestible than my full-length reviews. They will also cover some things that may not be quite ready for prime-time, whereas my reviews will continue to focus on Nostr apps that are production-ready.

Keep an eye out, because Nostr Wallet Connect will be the first topic of study. Take your seats, get out your notepads, and follow along to discover how Nostr Wallet Connect is improving Lightning infrastructure. Hint: It's not just for zaps.

@ a39d19ec:3d88f61e

Die Debatte um Migration, Grenzsicherung und Abschiebungen wird in Deutschland meist emotional geführt. Wer fordert, dass illegale Einwanderer abgeschoben werden, sieht sich nicht selten dem Vorwurf des Rassismus ausgesetzt. Doch dieser Vorwurf ist nicht nur sachlich unbegründet, sondern verkehrt die Realität ins Gegenteil: Tatsächlich sind es gerade diejenigen, die hinter jeder Forderung nach Rechtssicherheit eine rassistische Motivation vermuten, die selbst in erster Linie nach Hautfarbe, Herkunft oder Nationalität urteilen.

Das Recht steht über Emotionen

Deutschland ist ein Rechtsstaat. Das bedeutet, dass Regeln nicht nach Bauchgefühl oder politischer Stimmungslage ausgelegt werden können, sondern auf klaren gesetzlichen Grundlagen beruhen müssen. Einer dieser Grundsätze ist in Artikel 16a des Grundgesetzes verankert. Dort heißt es:

„Auf Absatz 1 [Asylrecht] kann sich nicht berufen, wer aus einem Mitgliedstaat der Europäischen Gemeinschaften oder aus einem anderen Drittstaat einreist, in dem die Anwendung des Abkommens über die Rechtsstellung der Flüchtlinge und der Europäischen Menschenrechtskonvention sichergestellt ist.“

Das bedeutet, dass jeder, der über sichere Drittstaaten nach Deutschland einreist, keinen Anspruch auf Asyl hat. Wer dennoch bleibt, hält sich illegal im Land auf und unterliegt den geltenden Regelungen zur Rückführung. Die Forderung nach Abschiebungen ist daher nichts anderes als die Forderung nach der Einhaltung von Recht und Gesetz.

Die Umkehrung des Rassismusbegriffs

Wer einerseits behauptet, dass das deutsche Asyl- und Aufenthaltsrecht strikt durchgesetzt werden soll, und andererseits nicht nach Herkunft oder Hautfarbe unterscheidet, handelt wertneutral. Diejenigen jedoch, die in einer solchen Forderung nach Rechtsstaatlichkeit einen rassistischen Unterton sehen, projizieren ihre eigenen Denkmuster auf andere: Sie unterstellen, dass die Debatte ausschließlich entlang ethnischer, rassistischer oder nationaler Kriterien geführt wird – und genau das ist eine rassistische Denkweise.

Jemand, der illegale Einwanderung kritisiert, tut dies nicht, weil ihn die Herkunft der Menschen interessiert, sondern weil er den Rechtsstaat respektiert. Hingegen erkennt jemand, der hinter dieser Kritik Rassismus wittert, offenbar in erster Linie die „Rasse“ oder Herkunft der betreffenden Personen und reduziert sie darauf.

Finanzielle Belastung statt ideologischer Debatte

Neben der rechtlichen gibt es auch eine ökonomische Komponente. Der deutsche Wohlfahrtsstaat basiert auf einem Solidarprinzip: Die Bürger zahlen in das System ein, um sich gegenseitig in schwierigen Zeiten zu unterstützen. Dieser Wohlstand wurde über Generationen hinweg von denjenigen erarbeitet, die hier seit langem leben. Die Priorität liegt daher darauf, die vorhandenen Mittel zuerst unter denjenigen zu verteilen, die durch Steuern, Sozialabgaben und Arbeit zum Erhalt dieses Systems beitragen – nicht unter denen, die sich durch illegale Einreise und fehlende wirtschaftliche Eigenleistung in das System begeben.

Das ist keine ideologische Frage, sondern eine rein wirtschaftliche Abwägung. Ein Sozialsystem kann nur dann nachhaltig funktionieren, wenn es nicht unbegrenzt belastet wird. Würde Deutschland keine klaren Regeln zur Einwanderung und Abschiebung haben, würde dies unweigerlich zur Überlastung des Sozialstaates führen – mit negativen Konsequenzen für alle.

Sozialpatriotismus

Ein weiterer wichtiger Aspekt ist der Schutz der Arbeitsleistung jener Generationen, die Deutschland nach dem Zweiten Weltkrieg mühsam wieder aufgebaut haben. Während oft betont wird, dass die Deutschen moralisch kein Erbe aus der Zeit vor 1945 beanspruchen dürfen – außer der Verantwortung für den Holocaust –, ist es umso bedeutsamer, das neue Erbe nach 1945 zu respektieren, das auf Fleiß, Disziplin und harter Arbeit beruht. Der Wiederaufbau war eine kollektive Leistung deutscher Menschen, deren Früchte nicht bedenkenlos verteilt werden dürfen, sondern vorrangig denjenigen zugutekommen sollten, die dieses Fundament mitgeschaffen oder es über Generationen mitgetragen haben.

Rechtstaatlichkeit ist nicht verhandelbar

Wer sich für eine konsequente Abschiebepraxis ausspricht, tut dies nicht aus rassistischen Motiven, sondern aus Respekt vor der Rechtsstaatlichkeit und den wirtschaftlichen Grundlagen des Landes. Der Vorwurf des Rassismus in diesem Kontext ist daher nicht nur falsch, sondern entlarvt eine selektive Wahrnehmung nach rassistischen Merkmalen bei denjenigen, die ihn erheben.

@ 04c915da:3dfbecc9

Bitcoin has always been rooted in freedom and resistance to authority. I get that many of you are conflicted about the US Government stacking but by design we cannot stop anyone from using bitcoin. Many have asked me for my thoughts on the matter, so let’s rip it.

Concern

One of the most glaring issues with the strategic bitcoin reserve is its foundation, built on stolen bitcoin. For those of us who value private property this is an obvious betrayal of our core principles. Rather than proof of work, the bitcoin that seeds this reserve has been taken by force. The US Government should return the bitcoin stolen from Bitfinex and the Silk Road.

Usually stolen bitcoin for the reserve creates a perverse incentive. If governments see a bitcoin as a valuable asset, they will ramp up efforts to confiscate more bitcoin. The precedent is a major concern, and I stand strongly against it, but it should be also noted that governments were already seizing coin before the reserve so this is not really a change in policy.

Ideally all seized bitcoin should be burned, by law. This would align incentives properly and make it less likely for the government to actively increase coin seizures. Due to the truly scarce properties of bitcoin, all burned bitcoin helps existing holders through increased purchasing power regardless. This change would be unlikely but those of us in policy circles should push for it regardless. It would be best case scenario for American bitcoiners and would create a strong foundation for the next century of American leadership.

Optimism

The entire point of bitcoin is that we can spend or save it without permission. That said, it is a massive benefit to not have one of the strongest governments in human history actively trying to ruin our lives.

Since the beginning, bitcoiners have faced horrible regulatory trends. KYC, surveillance, and legal cases have made using bitcoin and building bitcoin businesses incredibly difficult. It is incredibly important to note that over the past year that trend has reversed for the first time in a decade. A strategic bitcoin reserve is a key driver of this shift. By holding bitcoin, the strongest government in the world has signaled that it is not just a fringe technology but rather truly valuable, legitimate, and worth stacking.

This alignment of incentives changes everything. The US Government stacking proves bitcoin’s worth. The resulting purchasing power appreciation helps all of us who are holding coin and as bitcoin succeeds our government receives direct benefit. A beautiful positive feedback loop.

Realism

We are trending in the right direction. A strategic bitcoin reserve is a sign that the state sees bitcoin as an asset worth embracing rather than destroying. That said, there is a lot of work left to be done. We cannot be lulled into complacency, the time to push forward is now, and we cannot take our foot off the gas. We have a seat at the table for the first time ever. Let's make it worth it.

We must protect the right to free usage of bitcoin and other digital technologies. Freedom in the digital age must be taken and defended, through both technical and political avenues. Multiple privacy focused developers are facing long jail sentences for building tools that protect our freedom. These cases are not just legal battles. They are attacks on the soul of bitcoin. We need to rally behind them, fight for their freedom, and ensure the ethos of bitcoin survives this new era of government interest. The strategic reserve is a step in the right direction, but it is up to us to hold the line and shape the future.

@ d360efec:14907b5f

🚀📉 #BTC วิเคราะห์ H2! พุ่งชน 105K แล้วเจอแรงขาย... จับตา FVG 100.5K เป็นจุดวัดใจ! 👀📊

จากากรวิเคราะห์ทางเทคนิคสำหรับ #Bitcoin ในกรอบเวลา H2:

สัปดาห์ที่แล้ว #BTC ได้เบรคและพุ่งขึ้นอย่างแข็งแกร่งค่ะ 📈⚡ แต่เมื่อวันจันทร์ที่ผ่านมา ราคาได้ขึ้นไปชนแนวต้านบริเวณ 105,000 ดอลลาร์ แล้วเจอแรงขายย่อตัวลงมาตลอดทั้งวันค่ะ 🧱📉

ตอนนี้ ระดับที่น่าจับตาอย่างยิ่งคือโซน H4 FVG (Fair Value Gap ในกราฟ 4 ชั่วโมง) ที่ 100,500 ดอลลาร์ ค่ะ 🎯 (FVG คือโซนที่ราคาวิ่งผ่านไปเร็วๆ และมักเป็นบริเวณที่ราคามีโอกาสกลับมาทดสอบ/เติมเต็ม)

👇 โซน FVG ที่ 100.5K นี้ ยังคงเป็น Area of Interest ที่น่าสนใจสำหรับมองหาจังหวะ Long เพื่อลุ้นการขึ้นในคลื่นลูกถัดไปค่ะ!

🤔💡 อย่างไรก็ตาม การตัดสินใจเข้า Long หรือเทรดที่บริเวณนี้ ขึ้นอยู่กับว่าราคา แสดงปฏิกิริยาอย่างไรเมื่อมาถึงโซน 100.5K นี้ เพื่อยืนยันสัญญาณสำหรับการเคลื่อนไหวที่จะขึ้นสูงกว่าเดิมค่ะ!

เฝ้าดู Price Action ที่ระดับนี้อย่างใกล้ชิดนะคะ! 📍

BTC #Bitcoin #Crypto #คริปโต #TechnicalAnalysis #Trading #FVG #FairValueGap #PriceAction #MarketAnalysis #ลงทุนคริปโต #วิเคราะห์กราฟ #TradeSetup #ข่าวคริปโต #ตลาดคริปโต

@ f6488c62:c929299d

เกิดอะไรขึ้นช่วงส่งท้ายปี 2024? จู่ๆ บัญชี X ของอีลอน มัสก์ ก็เปลี่ยนชื่อเป็น "Kekius Maximus" สร้างความสงสัยและกระแสไปทั่ว!

ชื่อนี้มีความหมายแฝงอะไร? ➡️ Kek: มาจากเทพกบในตำนานอียิปต์ และเป็นมีมยอดฮิตในโลกออนไลน์ (โดยเฉพาะกลุ่มคริปโต/เกม) มักใช้สื่อถึงความขำขัน เสียดสี ➡️ Maximus: คาดว่ามาจากตัวละครฮีโร่ผู้กล้าหาญในภาพยนตร์ Gladiator ➡️ รูปโปรไฟล์: ใช้ภาพ Pepe the Frog (มีมดัง) ในชุดนักรบโรมัน ถือจอยสติ๊ก!

เจตนาที่เป็นไปได้? ✅ ความสนุกและเล่นกับมีม: มัสก์ชอบใช้มีมสร้างกระแสอยู่แล้ว นี่อาจเป็นอีกครั้งที่เขาหยอกล้อกับวัฒนธรรมอินเทอร์เน็ต ✅ ทดสอบอิทธิพล: การเปลี่ยนชื่อส่งผลให้เหรียญมีม KEKIUS พุ่งขึ้นมหาศาล เป็นการยืนยันพลังโซเชียลของเขา ✅ เชื่อมโยงกับเกม: มัสก์เคยใช้ชื่อ Kekius Maximus ในเกม Path of Exile มาก่อน

แม้จะเปลี่ยนชื่อกลับไปแล้ว แต่เรื่องนี้ก็แสดงให้เห็นมุมที่เป็นกันเอง ความชอบส่วนตัว และอิทธิพลอันทรงพลังของอีลอน มัสก์ ได้เป็นอย่างดี!

ElonMusk #KekiusMaximus #X #โซเชียลมีเดีย #มีม #คริปโต #Gladiator #PepeTheFrog

@ 2b998b04:86727e47

🧱 Why I Left Web3 for Proof of Work – Part 2: The Breaking Point\ \ It wasn’t a moment. It was a slow-motion unraveling.\ \ By 2024, I was deeply involved in a Web3 project focused on rewarding eco-conscious actions using a token system called “Proof of Environment.” I helped run a related Facebook group aimed at building community and encouraging engagement — especially among refugees and people living on the margins.\ \ I believed in it. I have a lot of respect for the project’s founder. His heart is in the right place.\ \ But reality set in: the token wasn’t trading.\ People were earning rewards that had no liquidity.\ \ So I tried to bridge the gap. I personally subsidized the effort — offering USD to keep people engaged and compensated.\ \ Eventually, I had to stop.\ \ Not because I lost faith in the mission… but because I realized I was compensating for a structural flaw. I was using fiat to prop up what was supposed to be an alternative to fiat.\ \ That realization cracked something open. And it wasn’t just about that project.\ \ By early 2025, I started re-examining the other Web3 spaces I was part of — including a local crypto-faith collective and a civic blockchain group I’d been attending.\ \ Before I say more - I want to be clear:\ \ - I respect the people involved in these communities.\ - I believe their intentions are sincere, and their efforts often come from a genuine desire to help.\ - The speakers were engaging and thought-provoking.\ - This isn’t a judgment of hearts — it’s a reflection on structure, incentives, and what actually works.\ \ One local Web3 community I attended regularly was especially revealing. It was connected to a publishing platform that promised a new way to engage content and community. But in practice, the tech was clunky, and the product was difficult to use — even basic edits to content required small fees in a token that few people understood. One of the DAOs I participated in burned through tens of thousands — mostly on architecture plans and design proposals.\ \ Weekly meetings had free lunches and spiritual talks… but the people experiencing homelessness, who we supposedly served? Often absent — or tokenized for optics.\ \ At one point, I proposed a practical idea to support a local housing initiative. The vision was for residents to grow some of their own food — creating both sustainability and job training opportunities.\ \ The response?\ \ “Let’s do this later.”\ \ It was polite. But it meant no.\ \ Over time, I felt less like a contributor and more like a prop — quietly tolerated, not truly included.\ \ Meanwhile, others held titles, got paid (quietly, maybe — but it was hard to tell how), and kept the stage.\ \ There was always funding for visibility. Rarely funding for outcomes.\ \ The problems people actually faced — hunger, housing, dignity — don’t care about abstractions.\ \ And neither does Bitcoin.\ \ I didn’t leave all at once. I still showed up in March, April, and May — out of habit, curiosity, and maybe hope.\ \ The speakers were thoughtful. In March, someone taught on mindfulness and the “five dimensions of time.” It was peaceful. But to me, it felt like another New Age sidetrack — far from the urgent needs on the ground.\ \ In April, one speaker — a former military interrogator turned AI educator — spoke on an AI “OS” for schools. Another shared how they helped build local currencies in Kenyan villages.\ \ In May, someone presented a trauma-informed housing model for youth with mental illness — one of the few ideas that felt truly grounded.\ \ These were all great ideas — thoughtful, human, often moving.\ \ My only thought was: they might have been better served by starting with Bitcoin — not as an add-on, but as a foundation. Especially the last two.\ \ And again — I believe many of the people involved were sincerely trying to make a difference.\ \ But something had shifted in me.\ \ I couldn’t stop asking: Who actually benefits from this tech?\ \ Does it work — or is it just another talk wrapped in hope?\ \ Why does impact often need a token?\ \ Not all the speakers revolved around Web3 or tokens — but many did.\ \ And quietly, a deeper question emerged: Couldn’t we just do all of this… with Bitcoin?\ \ Without a new platform. Without a fragile token.\ \ Just real tools. Real money. Real proof of work.\ \ The breaking point wasn’t dramatic. It was subtle, quiet — but final.\ \ ✍️ A Personal Note\ \ Even after all this, I still attend some of these events. I still show up — not because I’ve “come back,” but because I care.\ \ Because I respect the people.\ \ Because I believe conviction doesn’t require separation — it just requires clarity. I’m not circling back.\ \ I’m walking forward — with eyes open.\ \ And sometimes that means sitting in the same room with people I no longer fully agree with… and still learning something.\ \ My break wasn’t from the people.\ \ It was from the hype.\ \ From the structure, not the souls.\ \ And I still believe we can build better — if we start with truth.\ \ ⚡ If this resonates, zap me some sats — or just share it forward.\ 🤖 Drafted with the help of ChatGPT, who’s helped me find clarity across tech, theology, and everything in between.

@ d23af4ac:7bf07adb

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@ a39d19ec:3d88f61e

Nun da das deutsche Bundesregime den Ruin Deutschlands beschlossen hat, der sehr wahrscheinlich mit dem Werkzeug des Geld druckens "finanziert" wird, kamen mir so viele Gedanken zur Geldmengenausweitung, dass ich diese für einmal niedergeschrieben habe.

Die Ausweitung der Geldmenge führt aus klassischer wirtschaftlicher Sicht immer zu Preissteigerungen, weil mehr Geld im Umlauf auf eine begrenzte Menge an Gütern trifft. Dies lässt sich in mehreren Schritten analysieren:

1. Quantitätstheorie des Geldes

Die klassische Gleichung der Quantitätstheorie des Geldes lautet:

M • V = P • Y

wobei:
- M die Geldmenge ist,
- V die Umlaufgeschwindigkeit des Geldes,
- P das Preisniveau,
- Y die reale Wirtschaftsleistung (BIP).

Wenn M steigt und V sowie Y konstant bleiben, muss P steigen – also Inflation entstehen.

2. Gütermenge bleibt begrenzt

Die Menge an real produzierten Gütern und Dienstleistungen wächst meist nur langsam im Vergleich zur Ausweitung der Geldmenge. Wenn die Geldmenge schneller steigt als die Produktionsgütermenge, führt dies dazu, dass mehr Geld für die gleiche Menge an Waren zur Verfügung steht – die Preise steigen.

3. Erwartungseffekte und Spekulation

Wenn Unternehmen und Haushalte erwarten, dass mehr Geld im Umlauf ist, da eine zentrale Planung es so wollte, können sie steigende Preise antizipieren. Unternehmen erhöhen ihre Preise vorab, und Arbeitnehmer fordern höhere Löhne. Dies kann eine sich selbst verstärkende Spirale auslösen.

4. Internationale Perspektive

Eine erhöhte Geldmenge kann die Währung abwerten, wenn andere Länder ihre Geldpolitik stabil halten. Eine schwächere Währung macht Importe teurer, was wiederum Preissteigerungen antreibt.

5. Kritik an der reinen Geldmengen-Theorie

Der Vollständigkeit halber muss erwähnt werden, dass die meisten modernen Ökonomen im Staatsauftrag argumentieren, dass Inflation nicht nur von der Geldmenge abhängt, sondern auch von der Nachfrage nach Geld (z. B. in einer Wirtschaftskrise). Dennoch zeigt die historische Erfahrung, dass eine unkontrollierte Geldmengenausweitung langfristig immer zu Preissteigerungen führt, wie etwa in der Hyperinflation der Weimarer Republik oder in Simbabwe.

@ d360efec:14907b5f

@ c631e267:c2b78d3e

Die zwei mächtigsten Krieger sind Geduld und Zeit. \ Leo Tolstoi

Zum Wohle unserer Gesundheit, unserer Leistungsfähigkeit und letztlich unseres Glücks ist es wichtig, die eigene Energie bewusst zu pflegen. Das gilt umso mehr für an gesellschaftlichen Themen interessierte, selbstbewusste und kritisch denkende Menschen. Denn für deren Wahrnehmung und Wohlbefinden waren und sind die rasanten, krisen- und propagandagefüllten letzten Jahre in Absurdistan eine harte Probe.

Nur wer regelmäßig Kraft tankt und Wege findet, mit den Herausforderungen umzugehen, kann eine solche Tortur überstehen, emotionale Erschöpfung vermeiden und trotz allem zufrieden sein. Dazu müssen wir erkunden, was uns Energie gibt und was sie uns raubt. Durch Selbstreflexion und Achtsamkeit finden wir sicher Dinge, die uns erfreuen und inspirieren, und andere, die uns eher stressen und belasten.

Die eigene Energie ist eng mit unserer körperlichen und mentalen Gesundheit verbunden. Methoden zur Förderung der körperlichen Gesundheit sind gut bekannt: eine ausgewogene Ernährung, regelmäßige Bewegung sowie ausreichend Schlaf und Erholung. Bei der nicht minder wichtigen emotionalen Balance wird es schon etwas komplizierter. Stress abzubauen, die eigenen Grenzen zu kennen oder solche zum Schutz zu setzen sowie die Konzentration auf Positives und Sinnvolles wären Ansätze.

Der emotionale ist auch der Bereich, über den «Energie-Räuber» bevorzugt attackieren. Das sind zum Beispiel Dinge wie Überforderung, Perfektionismus oder mangelhafte Kommunikation. Social Media gehören ganz sicher auch dazu. Sie stehlen uns nicht nur Zeit, sondern sind höchst manipulativ und erhöhen laut einer aktuellen Studie das Risiko für psychische Probleme wie Angstzustände und Depressionen.

Geben wir negativen oder gar bösen Menschen keine Macht über uns. Das Dauerfeuer der letzten Jahre mit Krisen, Konflikten und Gefahren sollte man zwar kennen, darf sich aber davon nicht runterziehen lassen. Das Ziel derartiger konzertierter Aktionen ist vor allem, unsere innere Stabilität zu zerstören, denn dann sind wir leichter zu steuern. Aber Geduld: Selbst vermeintliche «Sonnenköniginnen» wie EU-Kommissionspräsidentin von der Leyen fallen, wenn die Zeit reif ist.

Es ist wichtig, dass wir unsere ganz eigenen Bedürfnisse und Werte erkennen. Unsere Energiequellen müssen wir identifizieren und aktiv nutzen. Dazu gehören soziale Kontakte genauso wie zum Beispiel Hobbys und Leidenschaften. Umgeben wir uns mit Sinnhaftigkeit und lassen wir uns nicht die Energie rauben!

Mein Wahlspruch ist schon lange: «Was die Menschen wirklich bewegt, ist die Kultur.» Jetzt im Frühjahr beginnt hier in Andalusien die Zeit der «Ferias», jener traditionellen Volksfeste, die vor Lebensfreude sprudeln. Konzentrieren wir uns auf die schönen Dinge und auf unsere eigenen Talente – soziale Verbundenheit wird helfen, unsere innere Kraft zu stärken und zu bewahren.

[Titelbild: Pixabay]

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ 0d97beae:c5274a14

This article hopes to complement the article by Lyn Alden on YouTube: https://www.youtube.com/watch?v=jk_HWmmwiAs

The reason why we have broken money

Before the invention of key technologies such as the printing press and electronic communications, even such as those as early as morse code transmitters, gold had won the competition for best medium of money around the world.

In fact, it was not just gold by itself that became money, rulers and world leaders developed coins in order to help the economy grow. Gold nuggets were not as easy to transact with as coins with specific imprints and denominated sizes.

However, these modern technologies created massive efficiencies that allowed us to communicate and perform services more efficiently and much faster, yet the medium of money could not benefit from these advancements. Gold was heavy, slow and expensive to move globally, even though requesting and performing services globally did not have this limitation anymore.

Banks took initiative and created derivatives of gold: paper and electronic money; these new currencies allowed the economy to continue to grow and evolve, but it was not without its dark side. Today, no currency is denominated in gold at all, money is backed by nothing and its inherent value, the paper it is printed on, is worthless too.

Banks and governments eventually transitioned from a money derivative to a system of debt that could be co-opted and controlled for political and personal reasons. Our money today is broken and is the cause of more expensive, poorer quality goods in the economy, a larger and ever growing wealth gap, and many of the follow-on problems that have come with it.

Bitcoin overcomes the "transfer of hard money" problem

Just like gold coins were created by man, Bitcoin too is a technology created by man. Bitcoin, however is a much more profound invention, possibly more of a discovery than an invention in fact. Bitcoin has proven to be unbreakable, incorruptible and has upheld its ability to keep its units scarce, inalienable and counterfeit proof through the nature of its own design.

Since Bitcoin is a digital technology, it can be transferred across international borders almost as quickly as information itself. It therefore severely reduces the need for a derivative to be used to represent money to facilitate digital trade. This means that as the currency we use today continues to fare poorly for many people, bitcoin will continue to stand out as hard money, that just so happens to work as well, functionally, along side it.

Bitcoin will also always be available to anyone who wishes to earn it directly; even China is unable to restrict its citizens from accessing it. The dollar has traditionally become the currency for people who discover that their local currency is unsustainable. Even when the dollar has become illegal to use, it is simply used privately and unofficially. However, because bitcoin does not require you to trade it at a bank in order to use it across borders and across the web, Bitcoin will continue to be a viable escape hatch until we one day hit some critical mass where the world has simply adopted Bitcoin globally and everyone else must adopt it to survive.

Bitcoin has not yet proven that it can support the world at scale. However it can only be tested through real adoption, and just as gold coins were developed to help gold scale, tools will be developed to help overcome problems as they arise; ideally without the need for another derivative, but if necessary, hopefully with one that is more neutral and less corruptible than the derivatives used to represent gold.

Bitcoin blurs the line between commodity and technology

Bitcoin is a technology, it is a tool that requires human involvement to function, however it surprisingly does not allow for any concentration of power. Anyone can help to facilitate Bitcoin's operations, but no one can take control of its behaviour, its reach, or its prioritisation, as it operates autonomously based on a pre-determined, neutral set of rules.

At the same time, its built-in incentive mechanism ensures that people do not have to operate bitcoin out of the good of their heart. Even though the system cannot be co-opted holistically, It will not stop operating while there are people motivated to trade their time and resources to keep it running and earn from others' transaction fees. Although it requires humans to operate it, it remains both neutral and sustainable.

Never before have we developed or discovered a technology that could not be co-opted and used by one person or faction against another. Due to this nature, Bitcoin's units are often described as a commodity; they cannot be usurped or virtually cloned, and they cannot be affected by political biases.

The dangers of derivatives

A derivative is something created, designed or developed to represent another thing in order to solve a particular complication or problem. For example, paper and electronic money was once a derivative of gold.

In the case of Bitcoin, if you cannot link your units of bitcoin to an "address" that you personally hold a cryptographically secure key to, then you very likely have a derivative of bitcoin, not bitcoin itself. If you buy bitcoin on an online exchange and do not withdraw the bitcoin to a wallet that you control, then you legally own an electronic derivative of bitcoin.

Bitcoin is a new technology. It will have a learning curve and it will take time for humanity to learn how to comprehend, authenticate and take control of bitcoin collectively. Having said that, many people all over the world are already using and relying on Bitcoin natively. For many, it will require for people to find the need or a desire for a neutral money like bitcoin, and to have been burned by derivatives of it, before they start to understand the difference between the two. Eventually, it will become an essential part of what we regard as common sense.

Learn for yourself

If you wish to learn more about how to handle bitcoin and avoid derivatives, you can start by searching online for tutorials about "Bitcoin self custody".

There are many options available, some more practical for you, and some more practical for others. Don't spend too much time trying to find the perfect solution; practice and learn. You may make mistakes along the way, so be careful not to experiment with large amounts of your bitcoin as you explore new ideas and technologies along the way. This is similar to learning anything, like riding a bicycle; you are sure to fall a few times, scuff the frame, so don't buy a high performance racing bike while you're still learning to balance.

@ 2b998b04:86727e47

For years, I wandered through the Web3 space—intrigued by its promises, pulled in by buzzwords like “decentralization,” “DAOs,” and “stakeholder democracy.”

But over time, the signals got drowned out by noise.

I saw venture capital pour into projects that had no product. I watched communities reward performative governance and token hype, rather than real work or impact. Even in faith-based circles, “Web3 for good” often meant shiny apps that served insiders more than outsiders.

Then I found my way back to where I began: Bitcoin.

Not as a speculative asset—but as a philosophy. A discipline. A foundation.

Proof of Work doesn’t need marketing. It doesn’t ask for permission. It either works—or it doesn’t.

Web3 taught me a lot. But Bitcoin gave me a plumb line. And from now on, that’s the line I’m building on.

This is Part 1 of a multi-part series. Follow for future entries.\ \ — Andrew G. Stanton\ Bitcoiner, builder, believer.

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This article was co-drafted using ChatGPT to accelerate the writing process. Final content was reviewed and edited by me.

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@ d360efec:14907b5f

Disclaimer: * การวิเคราะห์นี้เป็นเพียงแนวทาง ไม่ใช่คำแนะนำในการซื้อขาย * การลงทุนมีความเสี่ยง ผู้ลงทุนควรตัดสินใจด้วยตนเอง

@ 04c915da:3dfbecc9

Bitcoin has always been rooted in freedom and resistance to authority. I get that many of you are conflicted about the US Government stacking but by design we cannot stop anyone from using bitcoin. Many have asked me for my thoughts on the matter, so let’s rip it.

Concern

One of the most glaring issues with the strategic bitcoin reserve is its foundation, built on stolen bitcoin. For those of us who value private property this is an obvious betrayal of our core principles. Rather than proof of work, the bitcoin that seeds this reserve has been taken by force. The US Government should return the bitcoin stolen from Bitfinex and the Silk Road.

Using stolen bitcoin for the reserve creates a perverse incentive. If governments see bitcoin as a valuable asset, they will ramp up efforts to confiscate more bitcoin. The precedent is a major concern, and I stand strongly against it, but it should be also noted that governments were already seizing coin before the reserve so this is not really a change in policy.

Ideally all seized bitcoin should be burned, by law. This would align incentives properly and make it less likely for the government to actively increase coin seizures. Due to the truly scarce properties of bitcoin, all burned bitcoin helps existing holders through increased purchasing power regardless. This change would be unlikely but those of us in policy circles should push for it regardless. It would be best case scenario for American bitcoiners and would create a strong foundation for the next century of American leadership.

Optimism

The entire point of bitcoin is that we can spend or save it without permission. That said, it is a massive benefit to not have one of the strongest governments in human history actively trying to ruin our lives.

Since the beginning, bitcoiners have faced horrible regulatory trends. KYC, surveillance, and legal cases have made using bitcoin and building bitcoin businesses incredibly difficult. It is incredibly important to note that over the past year that trend has reversed for the first time in a decade. A strategic bitcoin reserve is a key driver of this shift. By holding bitcoin, the strongest government in the world has signaled that it is not just a fringe technology but rather truly valuable, legitimate, and worth stacking.

This alignment of incentives changes everything. The US Government stacking proves bitcoin’s worth. The resulting purchasing power appreciation helps all of us who are holding coin and as bitcoin succeeds our government receives direct benefit. A beautiful positive feedback loop.

Realism

We are trending in the right direction. A strategic bitcoin reserve is a sign that the state sees bitcoin as an asset worth embracing rather than destroying. That said, there is a lot of work left to be done. We cannot be lulled into complacency, the time to push forward is now, and we cannot take our foot off the gas. We have a seat at the table for the first time ever. Let's make it worth it.

We must protect the right to free usage of bitcoin and other digital technologies. Freedom in the digital age must be taken and defended, through both technical and political avenues. Multiple privacy focused developers are facing long jail sentences for building tools that protect our freedom. These cases are not just legal battles. They are attacks on the soul of bitcoin. We need to rally behind them, fight for their freedom, and ensure the ethos of bitcoin survives this new era of government interest. The strategic reserve is a step in the right direction, but it is up to us to hold the line and shape the future.

@ 37fe9853:bcd1b039

yoyoaa

@ 1c197b12:242e1642

A Cypherpunk's Manifesto by Eric Hughes

Privacy is necessary for an open society in the electronic age. Privacy is not secrecy. A private matter is something one doesn't want the whole world to know, but a secret matter is something one doesn't want anybody to know. Privacy is the power to selectively reveal oneself to the world.

If two parties have some sort of dealings, then each has a memory of their interaction. Each party can speak about their own memory of this; how could anyone prevent it? One could pass laws against it, but the freedom of speech, even more than privacy, is fundamental to an open society; we seek not to restrict any speech at all. If many parties speak together in the same forum, each can speak to all the others and aggregate together knowledge about individuals and other parties. The power of electronic communications has enabled such group speech, and it will not go away merely because we might want it to.

Since we desire privacy, we must ensure that each party to a transaction have knowledge only of that which is directly necessary for that transaction. Since any information can be spoken of, we must ensure that we reveal as little as possible. In most cases personal identity is not salient. When I purchase a magazine at a store and hand cash to the clerk, there is no need to know who I am. When I ask my electronic mail provider to send and receive messages, my provider need not know to whom I am speaking or what I am saying or what others are saying to me; my provider only need know how to get the message there and how much I owe them in fees. When my identity is revealed by the underlying mechanism of the transaction, I have no privacy. I cannot here selectively reveal myself; I must always reveal myself.

Therefore, privacy in an open society requires anonymous transaction systems. Until now, cash has been the primary such system. An anonymous transaction system is not a secret transaction system. An anonymous system empowers individuals to reveal their identity when desired and only when desired; this is the essence of privacy.

Privacy in an open society also requires cryptography. If I say something, I want it heard only by those for whom I intend it. If the content of my speech is available to the world, I have no privacy. To encrypt is to indicate the desire for privacy, and to encrypt with weak cryptography is to indicate not too much desire for privacy. Furthermore, to reveal one's identity with assurance when the default is anonymity requires the cryptographic signature.

We cannot expect governments, corporations, or other large, faceless organizations to grant us privacy out of their beneficence. It is to their advantage to speak of us, and we should expect that they will speak. To try to prevent their speech is to fight against the realities of information. Information does not just want to be free, it longs to be free. Information expands to fill the available storage space. Information is Rumor's younger, stronger cousin; Information is fleeter of foot, has more eyes, knows more, and understands less than Rumor.

We must defend our own privacy if we expect to have any. We must come together and create systems which allow anonymous transactions to take place. People have been defending their own privacy for centuries with whispers, darkness, envelopes, closed doors, secret handshakes, and couriers. The technologies of the past did not allow for strong privacy, but electronic technologies do.

We the Cypherpunks are dedicated to building anonymous systems. We are defending our privacy with cryptography, with anonymous mail forwarding systems, with digital signatures, and with electronic money.

Cypherpunks write code. We know that someone has to write software to defend privacy, and since we can't get privacy unless we all do, we're going to write it. We publish our code so that our fellow Cypherpunks may practice and play with it. Our code is free for all to use, worldwide. We don't much care if you don't approve of the software we write. We know that software can't be destroyed and that a widely dispersed system can't be shut down.

Cypherpunks deplore regulations on cryptography, for encryption is fundamentally a private act. The act of encryption, in fact, removes information from the public realm. Even laws against cryptography reach only so far as a nation's border and the arm of its violence. Cryptography will ineluctably spread over the whole globe, and with it the anonymous transactions systems that it makes possible.

For privacy to be widespread it must be part of a social contract. People must come and together deploy these systems for the common good. Privacy only extends so far as the cooperation of one's fellows in society. We the Cypherpunks seek your questions and your concerns and hope we may engage you so that we do not deceive ourselves. We will not, however, be moved out of our course because some may disagree with our goals.

The Cypherpunks are actively engaged in making the networks safer for privacy. Let us proceed together apace.

Onward.

Eric Hughes hughes@soda.berkeley.edu

9 March 1993

@ 3bf0c63f:aefa459d

Report of how the money Jack donated to the cause in December 2022 has been misused so far.

Bounties given

March 2025

• Dhalsim: 1,110,540 - Work on Nostr wiki data processing

February 2025

• BOUNTY* NullKotlinDev: 950,480 - Twine RSS reader Nostr integration
• Dhalsim: 2,094,584 - Work on Hypothes.is Nostr fork
• Constant, Biz and J: 11,700,588 - Nostr Special Forces

January 2025

• Constant, Biz and J: 11,610,987 - Nostr Special Forces
• BOUNTY* NullKotlinDev: 843,840 - Feeder RSS reader Nostr integration
• BOUNTY* NullKotlinDev: 797,500 - ReadYou RSS reader Nostr integration

December 2024

• BOUNTY* tijl: 1,679,500 - Nostr integration into RSS readers yarr and miniflux
• Constant, Biz and J: 10,736,166 - Nostr Special Forces
• Thereza: 1,020,000 - Podcast outreach initiative

November 2024

• Constant, Biz and J: 5,422,464 - Nostr Special Forces

October 2024

• Nostrdam: 300,000 - hackathon prize
• Svetski: 5,000,000 - Latin America Nostr events contribution
• Quentin: 5,000,000 - nostrcheck.me

June 2024

• Darashi: 5,000,000 - maintaining nos.today, searchnos, search.nos.today and other experiments
• Toshiya: 5,000,000 - keeping the NIPs repo clean and other stuff

May 2024

• James: 3,500,000 - https://github.com/jamesmagoo/nostr-writer
• Yakihonne: 5,000,000 - spreading the word in Asia
• Dashu: 9,000,000 - https://github.com/haorendashu/nostrmo

February 2024

• Viktor: 5,000,000 - https://github.com/viktorvsk/saltivka and https://github.com/viktorvsk/knowstr
• Eric T: 5,000,000 - https://github.com/tcheeric/nostr-java
• Semisol: 5,000,000 - https://relay.noswhere.com/ and https://hist.nostr.land relays
• Sebastian: 5,000,000 - Drupal stuff and nostr-php work
• tijl: 5,000,000 - Cloudron, Yunohost and Fraidycat attempts
• Null Kotlin Dev: 5,000,000 - AntennaPod attempt

December 2023

• hzrd: 5,000,000 - Nostrudel
• awayuki: 5,000,000 - NOSTOPUS illustrations
• bera: 5,000,000 - getwired.app
• Chris: 5,000,000 - resolvr.io
• NoGood: 10,000,000 - nostrexplained.com stories

October 2023

• SnowCait: 5,000,000 - https://nostter.vercel.app/ and other tools
• Shaun: 10,000,000 - https://yakihonne.com/, events and work on Nostr awareness
• Derek Ross: 10,000,000 - spreading the word around the world
• fmar: 5,000,000 - https://github.com/frnandu/yana
• The Nostr Report: 2,500,000 - curating stuff
• james magoo: 2,500,000 - the Obsidian plugin: https://github.com/jamesmagoo/nostr-writer

August 2023

• Paul Miller: 5,000,000 - JS libraries and cryptography-related work
• BOUNTY tijl: 5,000,000 - https://github.com/github-tijlxyz/wikinostr
• gzuus: 5,000,000 - https://nostree.me/

July 2023

• syusui-s: 5,000,000 - rabbit, a tweetdeck-like Nostr client: https://syusui-s.github.io/rabbit/
• kojira: 5,000,000 - Nostr fanzine, Nostr discussion groups in Japan, hardware experiments
• darashi: 5,000,000 - https://github.com/darashi/nos.today, https://github.com/darashi/searchnos, https://github.com/darashi/murasaki
• jeff g: 5,000,000 - https://nostr.how and https://listr.lol, plus other contributions
• cloud fodder: 5,000,000 - https://nostr1.com (open-source)
• utxo.one: 5,000,000 - https://relaying.io (open-source)
• Max DeMarco: 10,269,507 - https://www.youtube.com/watch?v=aA-jiiepOrE
• BOUNTY optout21: 1,000,000 - https://github.com/optout21/nip41-proto0 (proposed nip41 CLI)
• BOUNTY Leo: 1,000,000 - https://github.com/leo-lox/camelus (an old relay thing I forgot exactly)

June 2023

• BOUNTY: Sepher: 2,000,000 - a webapp for making lists of anything: https://pinstr.app/
• BOUNTY: Kieran: 10,000,000 - implement gossip algorithm on Snort, implement all the other nice things: manual relay selection, following hints etc.
• Mattn: 5,000,000 - a myriad of projects and contributions to Nostr projects: https://github.com/search?q=owner%3Amattn+nostr&type=code
• BOUNTY: lynn: 2,000,000 - a simple and clean git nostr CLI written in Go, compatible with William's original git-nostr-tools; and implement threaded comments on https://github.com/fiatjaf/nocomment.
• Jack Chakany: 5,000,000 - https://github.com/jacany/nblog
• BOUNTY: Dan: 2,000,000 - https://metadata.nostr.com/

April 2023

• BOUNTY: Blake Jakopovic: 590,000 - event deleter tool, NIP dependency organization
• BOUNTY: koalasat: 1,000,000 - display relays
• BOUNTY: Mike Dilger: 4,000,000 - display relays, follow event hints (Gossip)
• BOUNTY: kaiwolfram: 5,000,000 - display relays, follow event hints, choose relays to publish (Nozzle)
• Daniele Tonon: 3,000,000 - Gossip
• bu5hm4nn: 3,000,000 - Gossip
• BOUNTY: hodlbod: 4,000,000 - display relays, follow event hints

March 2023

• Doug Hoyte: 5,000,000 sats - https://github.com/hoytech/strfry
• Alex Gleason: 5,000,000 sats - https://gitlab.com/soapbox-pub/mostr
• verbiricha: 5,000,000 sats - https://badges.page/, https://habla.news/
• talvasconcelos: 5,000,000 sats - https://migrate.nostr.com, https://read.nostr.com, https://write.nostr.com/
• BOUNTY: Gossip model: 5,000,000 - https://camelus.app/
• BOUNTY: Gossip model: 5,000,000 - https://github.com/kaiwolfram/Nozzle
• BOUNTY: Bounty Manager: 5,000,000 - https://nostrbounties.com/

February 2023

• styppo: 5,000,000 sats - https://hamstr.to/
• sandwich: 5,000,000 sats - https://nostr.watch/
• BOUNTY: Relay-centric client designs: 5,000,000 sats https://bountsr.org/design/2023/01/26/relay-based-design.html
• BOUNTY: Gossip model on https://coracle.social/: 5,000,000 sats
• Nostrovia Podcast: 3,000,000 sats - https://nostrovia.org/
• BOUNTY: Nostr-Desk / Monstr: 5,000,000 sats - https://github.com/alemmens/monstr
• Mike Dilger: 5,000,000 sats - https://github.com/mikedilger/gossip

January 2023

• ismyhc: 5,000,000 sats - https://github.com/Galaxoid-Labs/Seer
• Martti Malmi: 5,000,000 sats - https://iris.to/
• Carlos Autonomous: 5,000,000 sats - https://github.com/BrightonBTC/bija
• Koala Sat: 5,000,000 - https://github.com/KoalaSat/nostros
• Vitor Pamplona: 5,000,000 - https://github.com/vitorpamplona/amethyst
• Cameri: 5,000,000 - https://github.com/Cameri/nostream

December 2022

• William Casarin: 7 BTC - splitting the fund
• pseudozach: 5,000,000 sats - https://nostr.directory/
• Sondre Bjellas: 5,000,000 sats - https://notes.blockcore.net/
• Null Dev: 5,000,000 sats - https://github.com/KotlinGeekDev/Nosky
• Blake Jakopovic: 5,000,000 sats - https://github.com/blakejakopovic/nostcat, https://github.com/blakejakopovic/nostreq and https://github.com/blakejakopovic/NostrEventPlayground

@ 8d34bd24:414be32b

We are all supposed to share Jesus and His word with those around us. We are called to:

but sanctify Christ as Lord in your hearts, always being ready to make a defense to everyone who asks you to give an account for the hope that is in you, yet with gentleness and reverence (1 Peter 3:15)

We should daily pray to God, read the Bible, and share Jesus with others. Some Christians will choose to go into full-time service to God. They will be pastors or missionaries. They will work for churches, Christian schools, and other Christian ministries. Of course, not everyone will make serving Jesus a career. That doesn’t mean the non-career Christians have no job to do. We are all to be a light to this world.

There is one ministry, though, that I’d argue is most important: sharing the gospel with and discipling our children.

These words, which I am commanding you today, shall be on your heart. You shall teach them diligently to your sons and shall talk of them when you sit in your house and when you walk by the way and when you lie down and when you rise up. (Deuteronomy 6:6-7)

This passage may have been written in the Old Testament, but I’d argue that it is even more true now that we have the truth of Jesus Christ, “the way, the truth, and the life.” If the Jews were called to diligently teach their kids the law, how much more should Christians diligently teach their kids the wonderous works and words of Jesus?

Train up a child in the way he should go, Even when he is old he will not depart from it. (Proverbs 22:6)

We should be so excited about what Jesus has done for us that it flows out of us in our daily lives. We should have a strong desire to learn God’s word and to share it with others, especially our children. We should share our excitement about Jesus with our kids. We should share our gratefulness for all Jesus has done for us. We should share our excitement about doing God’s work. Our children should see our faith in all we do and say.

Taking our kids to church Sunday morning and to Sunday school or youth group once a week is not going to teach our kids the importance of faith in Jesus. Praying openly at meals, at bedtime, when we hear about someone in need, and when a difficult situation happens teaches our kids to rely on Jesus. Reading our Bibles in front of our kids and doing daily devotions (at whatever time works for you, but we do evenings) teaches them the importance of the Scriptures. Acting according to a Biblical worldview and taking the time to explain to our kids the answers to the hard questions when the culture contradicts the Bible. This may mean taking the time to research answers to your kids’ questions because you don’t know the answer. Being patient with our kids, and even apologizing to them when we fail, teaches them to be humble and to repent. As the old saying goes, “morals are caught more than taught.” Also faith in Jesus is caught more than taught.

We need to live Godly lives that are different than the culture, remembering that our children are always watching, even when they are quite young and can’t articulate what they are learning.

We need to actively teach God’s word. This may be summarizing principles when they are young, but as soon as possible, this should include reading God’s word to our kids. (My daily reading is usually in an NASB Bible, but it is difficult for a young child to understand with its long, complex sentences, so I recommend something like the NLT Bible for children.)

“Now this is the commandment, the statutes and the judgments which the Lord your God has commanded me to teach you, that you might do them in the land where you are going over to possess it, so that you and your son and your grandson might fear the Lord your God, to keep all His statutes and His commandments which I command you, all the days of your life, and that your days may be prolonged. (Deuteronomy 6:1-2) {emphasis mine}

We want to share all of our knowledge of God and the Bible with our kids, grandkids, and great grandkids. We want to disciple our kids into strong faith in God and knowledge of the Bible, so they are capable of training their kids and their grandkids. We want to multiply faith in our families.

It is definitely good to have scheduled, intentional times of training our kids about the Bible. This could be part of homeschooling (which I strongly recommend). This could be family devotions, but we want teaching our kids about God to be just a natural part of life.

You shall teach them to your sons, talking of them when you sit in your house and when you walk along the road and when you lie down and when you rise up. (Deuteronomy 11:19)

Talking about what God has done in our lives, what we have learned about in our personal Bible study, and how the Bible relates to things we see in life should all naturally flow out of our interactions together. Talk about what the Bible says about a subject you hear on the news. Talk about what the Bible says about what is happening in a movie you watch. Talk about what the Bible says about the decisions you and your kids are having to make. Talk about what the Bible says about your kids’ relationship with each other and their friends and parents. God should be a normal part of everything in life.

We also want to make sure our actions don’t drive our kids away from God.

Fathers, do not provoke your children to anger, but bring them up in the discipline and instruction of the Lord. (Ephesians 6:4)

The Bible does not make light of our need to train our kids in faith.

Discipline your son while there is hope, And do not desire his death. (Proverbs 19:18)

This is so important that failure to train up our kids in faith is considered desiring our kid’s death.

God finds this training so critical, He also addresses it from the kid’s point of view and commands them to listen to their parent’s teaching.

My son, give attention to my words;\ Incline your ear to my sayings.\ Do not let them depart from your sight;\ Keep them in the midst of your heart.\ For they are life to those who find them\ And health to all their body.\ Watch over your heart with all diligence,\ For from it flow the springs of life. (Proverbs 4:20-23)

In Proverbs 31, the Bible gives the best explanation of a Godly woman and mother.

She opens her mouth in wisdom,\ And the teaching of kindness is on her tongue.\ She looks well to the ways of her household,\ And does not eat the bread of idleness.\ *Her children rise up and bless her*;\ Her husband also, and he praises her, saying:\ “Many daughters have done nobly,\ But you excel them all.” (Proverbs 31:26-29)

A Mom should continually “open her mouth in wisdom,” and teach kindly. A mother who fulfills this commandment faithfully is promised that “Her children rise up and bless her.” Being loved and appreciated by our kids is a wonderful blessing, but even greater is knowing that we will see our children with us in heaven.

May God guide you and encourage you as you teach, train, and discipline your kids to know their God, Creator, and Savior.

Trust Jesus.

@ 04c915da:3dfbecc9

Recently we have seen a wave of high profile X accounts hacked. These attacks have exposed the fragility of the status quo security model used by modern social media platforms like X. Many users have asked if nostr fixes this, so lets dive in. How do these types of attacks translate into the world of nostr apps? For clarity, I will use X’s security model as representative of most big tech social platforms and compare it to nostr.

The Status Quo

On X, you never have full control of your account. Ultimately to use it requires permission from the company. They can suspend your account or limit your distribution. Theoretically they can even post from your account at will. An X account is tied to an email and password. Users can also opt into two factor authentication, which adds an extra layer of protection, a login code generated by an app. In theory, this setup works well, but it places a heavy burden on users. You need to create a strong, unique password and safeguard it. You also need to ensure your email account and phone number remain secure, as attackers can exploit these to reset your credentials and take over your account. Even if you do everything responsibly, there is another weak link in X infrastructure itself. The platform’s infrastructure allows accounts to be reset through its backend. This could happen maliciously by an employee or through an external attacker who compromises X’s backend. When an account is compromised, the legitimate user often gets locked out, unable to post or regain control without contacting X’s support team. That process can be slow, frustrating, and sometimes fruitless if support denies the request or cannot verify your identity. Often times support will require users to provide identification info in order to regain access, which represents a privacy risk. The centralized nature of X means you are ultimately at the mercy of the company’s systems and staff.

Nostr Requires Responsibility

Nostr flips this model radically. Users do not need permission from a company to access their account, they can generate as many accounts as they want, and cannot be easily censored. The key tradeoff here is that users have to take complete responsibility for their security. Instead of relying on a username, password, and corporate servers, nostr uses a private key as the sole credential for your account. Users generate this key and it is their responsibility to keep it safe. As long as you have your key, you can post. If someone else gets it, they can post too. It is that simple. This design has strong implications. Unlike X, there is no backend reset option. If your key is compromised or lost, there is no customer support to call. In a compromise scenario, both you and the attacker can post from the account simultaneously. Neither can lock the other out, since nostr relays simply accept whatever is signed with a valid key.

The benefit? No reliance on proprietary corporate infrastructure.. The negative? Security rests entirely on how well you protect your key.

Future Nostr Security Improvements

For many users, nostr’s standard security model, storing a private key on a phone with an encrypted cloud backup, will likely be sufficient. It is simple and reasonably secure. That said, nostr’s strength lies in its flexibility as an open protocol. Users will be able to choose between a range of security models, balancing convenience and protection based on need.

One promising option is a web of trust model for key rotation. Imagine pre-selecting a group of trusted friends. If your account is compromised, these people could collectively sign an event announcing the compromise to the network and designate a new key as your legitimate one. Apps could handle this process seamlessly in the background, notifying followers of the switch without much user interaction. This could become a popular choice for average users, but it is not without tradeoffs. It requires trust in your chosen web of trust, which might not suit power users or large organizations. It also has the issue that some apps may not recognize the key rotation properly and followers might get confused about which account is “real.”

For those needing higher security, there is the option of multisig using FROST (Flexible Round-Optimized Schnorr Threshold). In this setup, multiple keys must sign off on every action, including posting and updating a profile. A hacker with just one key could not do anything. This is likely overkill for most users due to complexity and inconvenience, but it could be a game changer for large organizations, companies, and governments. Imagine the White House nostr account requiring signatures from multiple people before a post goes live, that would be much more secure than the status quo big tech model.

Another option are hardware signers, similar to bitcoin hardware wallets. Private keys are kept on secure, offline devices, separate from the internet connected phone or computer you use to broadcast events. This drastically reduces the risk of remote hacks, as private keys never touches the internet. It can be used in combination with multisig setups for extra protection. This setup is much less convenient and probably overkill for most but could be ideal for governments, companies, or other high profile accounts.

---

Nostr’s security model is not perfect but is robust and versatile. Ultimately users are in control and security is their responsibility. Apps will give users multiple options to choose from and users will choose what best fits their need.

@ 04c915da:3dfbecc9

In much of the world, it is incredibly difficult to access U.S. dollars. Local currencies are often poorly managed and riddled with corruption. Billions of people demand a more reliable alternative. While the dollar has its own issues of corruption and mismanagement, it is widely regarded as superior to the fiat currencies it competes with globally. As a result, Tether has found massive success providing low cost, low friction access to dollars. Tether claims 400 million total users, is on track to add 200 million more this year, processes 8.1 million transactions daily, and facilitates $29 billion in daily transfers. Furthermore, their estimates suggest nearly 40% of users rely on it as a savings tool rather than just a transactional currency.

Tether’s rise has made the company a financial juggernaut. Last year alone, Tether raked in over $13 billion in profit, with a lean team of less than 100 employees. Their business model is elegantly simple: hold U.S. Treasuries and collect the interest. With over $113 billion in Treasuries, Tether has turned a straightforward concept into a profit machine.

Tether’s success has resulted in many competitors eager to claim a piece of the pie. This has triggered a massive venture capital grift cycle in USD tokens, with countless projects vying to dethrone Tether. Due to Tether’s entrenched network effect, these challengers face an uphill battle with little realistic chance of success. Most educated participants in the space likely recognize this reality but seem content to perpetuate the grift, hoping to cash out by dumping their equity positions on unsuspecting buyers before they realize the reality of the situation.

Historically, Tether’s greatest vulnerability has been U.S. government intervention. For over a decade, the company operated offshore with few allies in the U.S. establishment, making it a major target for regulatory action. That dynamic has shifted recently and Tether has seized the opportunity. By actively courting U.S. government support, Tether has fortified their position. This strategic move will likely cement their status as the dominant USD token for years to come.

While undeniably a great tool for the millions of users that rely on it, Tether is not without flaws. As a centralized, trusted third party, it holds the power to freeze or seize funds at its discretion. Corporate mismanagement or deliberate malpractice could also lead to massive losses at scale. In their goal of mitigating regulatory risk, Tether has deepened ties with law enforcement, mirroring some of the concerns of potential central bank digital currencies. In practice, Tether operates as a corporate CBDC alternative, collaborating with authorities to surveil and seize funds. The company proudly touts partnerships with leading surveillance firms and its own data reveals cooperation in over 1,000 law enforcement cases, with more than $2.5 billion in funds frozen.

---

The global demand for Tether is undeniable and the company’s profitability reflects its unrivaled success. Tether is owned and operated by bitcoiners and will likely continue to push forward strategic goals that help the movement as a whole. Recent efforts to mitigate the threat of U.S. government enforcement will likely solidify their network effect and stifle meaningful adoption of rival USD tokens or CBDCs. Yet, for all their achievements, Tether is simply a worse form of money than bitcoin. Tether requires trust in a centralized entity, while bitcoin can be saved or spent without permission. Furthermore, Tether is tied to the value of the US Dollar which is designed to lose purchasing power over time, while bitcoin, as a truly scarce asset, is designed to increase in purchasing power with adoption. As people awaken to the risks of Tether’s control, and the benefits bitcoin provides, bitcoin adoption will likely surpass it.

@ 62033ff8:e4471203

收录的内容中 kind=1的部分，实话说 质量不高。 所以我增加了kind=30023 长文的article，但是更新的太少，多个relays 的服务器也没有多少长文。

所有搜索nostr如果需要产生价值，需要有高质量的文章和新闻。 而且现在有很多机器人的文章充满着浪费空间的作用，其他作用都用不上。

https://www.duozhutuan.com 目前放的是给搜索引擎提供搜索的原材料。没有做UI给人类浏览。所以看上去是粗糙的。 我并没有打算去做一个发microblog的 web客户端，那类的客户端太多了。

我觉得nostr社区需要解决的还是应用。如果仅仅是microblog 感觉有点够呛

幸运的是npub.pro 建站这样的，我觉得有点意思。

yakihonne 智能widget 也有意思

我做的TaskQ5 我自己在用了。分布式的任务系统，也挺好的。

@ 23b0e2f8:d8af76fc

Necessário

• Um Android que você não use mais (a câmera deve estar funcionando).
• Um cartão microSD (opcional, usado apenas uma vez).
• Um dispositivo para acompanhar seus fundos (provavelmente você já tem um).

Algumas coisas que você precisa saber

• O dispositivo servirá como um assinador. Qualquer movimentação só será efetuada após ser assinada por ele.
• O cartão microSD será usado para transferir o APK do Electrum e garantir que o aparelho não terá contato com outras fontes de dados externas após sua formatação. Contudo, é possível usar um cabo USB para o mesmo propósito.
• A ideia é deixar sua chave privada em um dispositivo offline, que ficará desligado em 99% do tempo. Você poderá acompanhar seus fundos em outro dispositivo conectado à internet, como seu celular ou computador pessoal.

---

O tutorial será dividido em dois módulos:

• Módulo 1 - Criando uma carteira fria/assinador.
• Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

---

No final, teremos:

• Uma carteira fria que também servirá como assinador.
• Um dispositivo para acompanhar os fundos da carteira.

---

Módulo 1 - Criando uma carteira fria/assinador

1. Baixe o APK do Electrum na aba de downloads em https://electrum.org/. Fique à vontade para verificar as assinaturas do software, garantindo sua autenticidade.

2. Formate o cartão microSD e coloque o APK do Electrum nele. Caso não tenha um cartão microSD, pule este passo.

1. Retire os chips e acessórios do aparelho que será usado como assinador, formate-o e aguarde a inicialização.

1. Durante a inicialização, pule a etapa de conexão ao Wi-Fi e rejeite todas as solicitações de conexão. Após isso, você pode desinstalar aplicativos desnecessários, pois precisará apenas do Electrum. Certifique-se de que Wi-Fi, Bluetooth e dados móveis estejam desligados. Você também pode ativar o modo avião.\ (Curiosidade: algumas pessoas optam por abrir o aparelho e danificar a antena do Wi-Fi/Bluetooth, impossibilitando essas funcionalidades.)

1. Insira o cartão microSD com o APK do Electrum no dispositivo e instale-o. Será necessário permitir instalações de fontes não oficiais.

1. No Electrum, crie uma carteira padrão e gere suas palavras-chave (seed). Anote-as em um local seguro. Caso algo aconteça com seu assinador, essas palavras permitirão o acesso aos seus fundos novamente. (Aqui entra seu método pessoal de backup.)

---

Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

1. Criar uma carteira somente leitura em outro dispositivo, como seu celular ou computador pessoal, é uma etapa bastante simples. Para este tutorial, usaremos outro smartphone Android com Electrum. Instale o Electrum a partir da aba de downloads em https://electrum.org/ ou da própria Play Store. (ATENÇÃO: O Electrum não existe oficialmente para iPhone. Desconfie se encontrar algum.)

2. Após instalar o Electrum, crie uma carteira padrão, mas desta vez escolha a opção Usar uma chave mestra.

1. Agora, no assinador que criamos no primeiro módulo, exporte sua chave pública: vá em Carteira > Detalhes da carteira > Compartilhar chave mestra pública.

1. Escaneie o QR gerado da chave pública com o dispositivo de consulta. Assim, ele poderá acompanhar seus fundos, mas sem permissão para movimentá-los.

2. Para receber fundos, envie Bitcoin para um dos endereços gerados pela sua carteira: Carteira > Addresses/Coins.

3. Para movimentar fundos, crie uma transação no dispositivo de consulta. Como ele não possui a chave privada, será necessário assiná-la com o dispositivo assinador.

1. No assinador, escaneie a transação não assinada, confirme os detalhes, assine e compartilhe. Será gerado outro QR, desta vez com a transação já assinada.

1. No dispositivo de consulta, escaneie o QR da transação assinada e transmita-a para a rede.

---

Conclusão

Pontos positivos do setup:

• Simplicidade: Basta um dispositivo Android antigo.
• Flexibilidade: Funciona como uma ótima carteira fria, ideal para holders.

Pontos negativos do setup:

• Padronização: Não utiliza seeds no padrão BIP-39, você sempre precisará usar o electrum.
• Interface: A aparência do Electrum pode parecer antiquada para alguns usuários.

Nesse ponto, temos uma carteira fria que também serve para assinar transações. O fluxo de assinar uma transação se torna: Gerar uma transação não assinada > Escanear o QR da transação não assinada > Conferir e assinar essa transação com o assinador > Gerar QR da transação assinada > Escanear a transação assinada com qualquer outro dispositivo que possa transmiti-la para a rede.

Como alguns devem saber, uma transação assinada de Bitcoin é praticamente impossível de ser fraudada. Em um cenário catastrófico, você pode mesmo que sem internet, repassar essa transação assinada para alguém que tenha acesso à rede por qualquer meio de comunicação. Mesmo que não queiramos que isso aconteça um dia, esse setup acaba por tornar essa prática possível.

---

@ c230edd3:8ad4a712

Out of the night that covers me,

Black as the Pit from pole to pole,

I thank whatever gods may be

For my unconquerable soul.

In the fell clutch of circumstance

I have not winced nor cried aloud.

Under the bludgeonings of chance

My head is bloody, but unbowed.

Beyond this place of wrath and tears

Looms but the Horror of the shade,

And yet the menace of the years

Finds, and shall find, me unafraid.

It matters not how strait the gate,

How charged with punishments the scroll,

I am the master of my fate:

I am the captain of my soul.

@ 266815e0:6cd408a5

Streams are the key to nostr

Loading events from a nostr relay is probably the most inconsistent way of loading data I've had to work with, and that's only loading from a single relay. the problem gets exponentially more complicated once you try to load events from multiple relays

Unlike HTTP nostr does not have a simple flow with timeouts built in. events are sent back one at a time and can fail at any point or have massive (10s) gaps between them

The key is to use streams. something that starts, emits any number of results, then maybe errors or completes. luckily it just so happens that JavaScript / TypeScript has a great observable stream library called RxJS

What is an observable

An Observable in RxJS is stream a of data that are initialized lazily, which means the stream is inactive and not running until something subscribes to it

```ts let stream = new Observable((observer) => { observer.next(1) observer.next(2) observer.next(3) observer.complete() })

// The stream method isn't run until its subscribed to stream.subscribe(v => console.log(v)) ```

This is super powerful and perfect for nostr because it means we don't need to manage the life-cycle of the stream. it will run when something subscribes to it and stop when unsubscribed.

Its helpful to think of this as "pulling" data. once we have created an observable we can request the data from it at any point in the future.

Pulling data from relays

We can use the lazy nature of observables to only start fetching events from a nostr relay when we need them

For example we can create an observable that will load kind 1 events from the damus relay and stream them back as they are returned from the relay

```typescript let req = new Observable((observer) => { // Create a new websocket connection when the observable is start let ws = new WebSocket('wss://relay.damus.io')

ws.onopen = () => { // Start a REQ ws.send(JSON.stringify(['REQ', 'test', {kinds: [1], limit: 20}])) }

ws.onmessage = (event) => { let message = JSON.parse(event.data) // Get the event from the message and pass it along to the subscribers if(message[0] === 'EVENT') observer.next(message[1]) }

// Cleanup subscription return () => { ws.send(JSON.stringify(['CLOSE', 'test'])) ws.close() } }) ```

But creating the observable wont do anything. we need to subscribe to it to get any events.

ts let sub = req.subscribe(event => { console.log('we got an event' event) })

Cool now we are pulling events from a relay. once we are done we can stop listening to it by unsubscribing from it

ts sub.unsubscribe()

This will call the cleanup method on the observable, which in turn closes the connection to the relay.

Hopefully you can see how this work, we don't have any open, connect, or disconnect methods. we simply subscribe to a stream of events and it handles all the messy logic of connecting to a relay

Composing and chaining observables

I've shown you how we can create a simple stream of events from a relay, but what if we want to pull from two relays?

Easy, lets make the previous example into a function that takes a relay URL

```ts function getNoteFromRelay(relay: string){ return new Observable((observer) => { let ws = new WebSocket(relay)

// ...rest of the observable...

}) } ```

Then we can "merge" two of these observables into a single observable using the merge method from RxJS

The merge method will create a single observable that subscribes to both upstream observables and sends all the events back. Think of it as pulling events from both relays at once

```ts import { merge } from 'rxjs'

const notes = merge( getNoteFromRelay('wss://relay.damus.io'), getNoteFromRelay('wss://nos.lol') )

// Subscribe to the observable to start getting data from it const sub = notes.subscribe(event => { console.log(event) })

// later unsubscribe setTimeout(() => { sub.unsubscribe() }, 10_000) ```

But now we have a problem, because we are pulling events from two relays we are getting duplicate events. to solve this we can use the .pipe method and the distinct operator from RxJS to modify our single observable to only return one version of each event

The .pipe method will create a chain of observables that will each subscribe to the previous one and modify the returned values in some way

The distinct operator takes a method that returns a unique identifier and filters out any duplicate values

```ts import { merge, distinct } from 'rxjs'

const notes = merge( getNoteFromRelay('wss://relay.damus.io'), getNoteFromRelay('wss://nos.lol') ).pipe( // filter out events we have seen before based on the event id distinct(event => event.id) ) ```

Now we have an observable that when subscribed to will connect to two relays and return a stream of events without duplicates...

As you can see things can start getting complicated fast. but its also very powerful because we aren't managing any life-cycle code, we just subscribe and unsubscribe from an observable

Taking it to an extreme

Hopefully at this point you can see how powerful this is, we can think of almost any data loading pattern as a series of observables that pull data from upstream observables and stream it back to the original subscriber.

Here is a quick sketch of what it could look like to load user profiles. each node is an observable that "pulls" data from its child node ending with the "connect websocket" or "load from database" nodes which do the work of making a relay connection

Conclusion

All this might seem pretty simple and straight forward, but its been a long six month of learning for me. I've had to completely rethink how data and nostr events should be handled in a client and how to avoid screwing up and shooting myself in the foot with these powerful tools.

If you want to give RxJS a try I would encourage you to checkout the nostr sdk I've been building called applesauce

Its uses RxJS for pretty much everything and has the simplest and most flexible relay connection API I've seen so far (mainly no life-cycle management)

@ 207ad2a0:e7cca7b0

Quick context: I wanted to check out Nostr's longform posts and this blog post seemed like a good one to try and mirror. It's originally from my free to read/share attempt to write a novel, but this post here is completely standalone - just describing how I used AI image generation to make a small piece of the work.

Hold on, put your pitchforks down - outside of using Grammerly & Emacs for grammatical corrections - not a single character was generated or modified by computers; a non-insignificant portion of my first draft originating on pen & paper. No AI is ~~weird and crazy~~ imaginative enough to write like I do. The only successful AI contribution you'll find is a single image, the map, which I heavily edited. This post will go over how I generated and modified an image using AI, which I believe brought some value to the work, and cover a few quick thoughts about AI towards the end.

Let's be clear, I can't draw, but I wanted a map which I believed would improve the story I was working on. After getting abysmal results by prompting AI with text only I decided to use "Diffuse the Rest," a Stable Diffusion tool that allows you to provide a reference image + description to fine tune what you're looking for. I gave it this Microsoft Paint looking drawing:

and after a number of outputs, selected this one to work on:

The image is way better than the one I provided, but had I used it as is, I still feel it would have decreased the quality of my work instead of increasing it. After firing up Gimp I cropped out the top and bottom, expanded the ocean and separated the landmasses, then copied the top right corner of the large landmass to replace the bottom left that got cut off. Now we've got something that looks like concept art: not horrible, and gets the basic idea across, but it's still due for a lot more detail.

The next thing I did was add some texture to make it look more map like. I duplicated the layer in Gimp and applied the "Cartoon" filter to both for some texture. The top layer had a much lower effect strength to give it a more textured look, while the lower layer had a higher effect strength that looked a lot like mountains or other terrain features. Creating a layer mask allowed me to brush over spots to display the lower layer in certain areas, giving it some much needed features.

At this point I'd made it to where I felt it may improve the work instead of detracting from it - at least after labels and borders were added, but the colors seemed artificial and out of place. Luckily, however, this is when PhotoFunia could step in and apply a sketch effect to the image.

At this point I was pretty happy with how it was looking, it was close to what I envisioned and looked very visually appealing while still being a good way to portray information. All that was left was to make the white background transparent, add some minor details, and add the labels and borders. Below is the exact image I wound up using:

Overall, I'm very satisfied with how it turned out, and if you're working on a creative project, I'd recommend attempting something like this. It's not a central part of the work, but it improved the chapter a fair bit, and was doable despite lacking the talent and not intending to allocate a budget to my making of a free to read and share story.

The AI Generated Elephant in the Room

If you've read my non-fiction writing before, you'll know that I think AI will find its place around the skill floor as opposed to the skill ceiling. As you saw with my input, I have absolutely zero drawing talent, but with some elbow grease and an existing creative direction before and after generating an image I was able to get something well above what I could have otherwise accomplished. Outside of the lowest common denominators like stock photos for the sole purpose of a link preview being eye catching, however, I doubt AI will be wholesale replacing most creative works anytime soon. I can assure you that I tried numerous times to describe the map without providing a reference image, and if I used one of those outputs (or even just the unedited output after providing the reference image) it would have decreased the quality of my work instead of improving it.

I'm going to go out on a limb and expect that AI image, text, and video is all going to find its place in slop & generic content (such as AI generated slop replacing article spinners and stock photos respectively) and otherwise be used in a supporting role for various creative endeavors. For people working on projects like I'm working on (e.g. intended budget $0) it's helpful to have an AI capable of doing legwork - enabling projects to exist or be improved in ways they otherwise wouldn't have. I'm also guessing it'll find its way into more professional settings for grunt work - think a picture frame or fake TV show that would exist in the background of an animated project - likely a detail most people probably wouldn't notice, but that would save the creators time and money and/or allow them to focus more on the essential aspects of said work. Beyond that, as I've predicted before: I expect plenty of emails will be generated from a short list of bullet points, only to be summarized by the recipient's AI back into bullet points.

I will also make a prediction counter to what seems mainstream: AI is about to peak for a while. The start of AI image generation was with Google's DeepDream in 2015 - image recognition software that could be run in reverse to "recognize" patterns where there were none, effectively generating an image from digital noise or an unrelated image. While I'm not an expert by any means, I don't think we're too far off from that a decade later, just using very fine tuned tools that develop more coherent images. I guess that we're close to maxing out how efficiently we're able to generate images and video in that manner, and the hard caps on how much creative direction we can have when using AI - as well as the limits to how long we can keep it coherent (e.g. long videos or a chronologically consistent set of images) - will prevent AI from progressing too far beyond what it is currently unless/until another breakthrough occurs.

@ 57d1a264:69f1fee1

Payjoin allows the sender and receiver of an on-chain payment to collaborate and create a transaction that breaks on-chain heuristics, allowing a more private transaction with ambiguous payment amount and UTXO ownership. Additionally, it can also be used for UTXO consolidation (receiver saves future fees) and batching payments (receiver can make payment(s) of their own in the process of receiving one), also known as transaction cut-through. Other than improved privacy, the rest of the benefits are typically applicable to the receiver, not the sender.

BIP-78 was the original payjoin protocol that required the receiver to run a endpoint/server (always online) in order to mediate the payjoin process. Payjoin adoption has remained pretty low, something attributed to the server & perpetual online-ness requirement. This is the motivation for payjoin v2.

The purpose of the one-pager is to analyse the protocol, and highlight the UX issues or tradeoffs it entails, so that the payjoin user flows can be appropriately designed and the tradeoffs likewise communicated. A further document on UX solutions might be needed to identify solutions and opportunities

The following observations are generally limited to individual users transacting through their mobile devices:

While users naturally want better privacy and fee-savings, they also want to minimise friction and minimise (optimise) payment time. These are universal and more immediate needs since they deal with the user experience.

Added manual steps

TL;DR v2 payjoin eliminates server & simultaneous user-liveness requirements (increasing TAM, and opportunities to payjoin, as a result) by adding manual steps.

Usually, the extent of the receiver's involvement in the transaction process is limited to sharing their address with the sender. Once they share the address/URI, they can basically forget about it. In the target scenario for v2 payjoin, the receiver must come online again (except they have no way of knowing "when") to contribute input(s) and sign the PSBT. This can be unexpected, unintuitive and a bit of a hassle.

Usually (and even with payjoin v1), the sender crafts and broadcasts the transaction in one go; meaning the user's job is done within a few seconds/minutes. With payjoin v2, they must share the original-PSBT with the receiver, and then wait for them to do their part. Once the the receiver has done that, the sender must come online to review the transaction, sign it & broadcast.

In summary,

In payjoin v1, step 3 is automated and instant, so delay 2, 3 =~ 0. As the user experiences it, the process is completed in a single session, akin to a non-payjoin transaction.

With payjoin v2, Steps 2 & 3 in the above diagram are widely spread and noticeable. These manual steps are separated by uncertain delays (more on that below) when compared to a non-payjoin transaction.

Delays

We've established that both senders and receivers must take extra manual steps to execute a payoin transaction. With payjoin v2, this process gets split into multiple sessions, since the sender and receiver are not like to be online simultaneously.

Delay 2 & 3 (see diagram above) are uncertain in nature. Most users do not open their bitcoin wallets for days or weeks! The receiver must come online before the timeout hits in order for the payjoin process to work, otherwise time is just wasted with no benefit. UX or technical solutions are needed to minimise these delays.

Delays might be exacerbated if the setup is based on hardware wallet and/or uses multisig.

Notifications or background processes

There is one major problem when we say "the user must come online to..." but in reality the user has no way of knowing there is a payjoin PSBT waiting for them. After a PSBT is sent to the relay, the opposite user would only find out about it whenever they happen to come online. Notifications and background sync processes might be necessary to minimise delays. This is absolutely essential to avert timeouts in addition to saving valuable time. Another risk is phantom payjoin stuff after the timeout is expired if receiver-side does not know it has.

Fee Savings

The following observations might be generally applicable for both original and this v2 payjoin version. Fee-savings with payjoin is a tricky topic. Of course, overall a payjoin transaction is always cheaper than 2 separate transactions, since they get to share the overhead.

Additionally, without the receiver contributing to fees, the chosen fee rate of the PSBT (at the beginning) drops, and can lead to slower confirmation. From another perspective, a sender paying with payjoin pays higher fees for similar confirmation target. This has been observed in a production wallet years back. Given that total transaction time can extend to days, the fee environment itself might change, and all this must be considered when designing the UX.

Of course, there is nothing stopping the receiver from contributing to fees, but this idea is likely entirely novel to the bitcoin ecosystem (perhaps payments ecosystem in general) and the user base. Additionally, nominally it involves the user paying fees and tolerating delays just to receive bitcoin. Without explicit incentives/features that encourage receivers to participate, payjoining might seem like an unncessary hassle.

Overall, it seems that payjoin makes UX significant tradeoffs for important privacy (and potential fee-saving) benefits. This means that the UX might have to do significant heavy-lifting, to ensure that users are not surprised, confused or frustrated when they try to transact on-chain in a privacy-friendly feature. Good, timely communication, new features for consolidation & txn-cutthrough and guided user flows seem crucial to ensure payjoin adoption and for help make on-chain privacy a reality for users.

---------------

Original document available here. Reach out at yashrajdca@proton.me, y_a_s_h_r_a_j.70 on Signal, or on reach out in Bitcoin Design discord.

https://stacker.news/items/981388

@ 91bea5cd:1df4451c

Básico

bash lsblk # Lista todos os diretorios montados.

Para criar o sistema de arquivos:

bash mkfs.btrfs -L "ThePool" -f /dev/sdx

Criando um subvolume:

bash btrfs subvolume create SubVol

Montando Sistema de Arquivos:

bash mount -o compress=zlib,subvol=SubVol,autodefrag /dev/sdx /mnt

Lista os discos formatados no diretório:

bash btrfs filesystem show /mnt

Adiciona novo disco ao subvolume:

bash btrfs device add -f /dev/sdy /mnt

Lista novamente os discos do subvolume:

bash btrfs filesystem show /mnt

Exibe uso dos discos do subvolume:

bash btrfs filesystem df /mnt

Balancea os dados entre os discos sobre raid1:

bash btrfs filesystem balance start -dconvert=raid1 -mconvert=raid1 /mnt

Scrub é uma passagem por todos os dados e metadados do sistema de arquivos e verifica as somas de verificação. Se uma cópia válida estiver disponível (perfis de grupo de blocos replicados), a danificada será reparada. Todas as cópias dos perfis replicados são validadas.

iniciar o processo de depuração :

bash btrfs scrub start /mnt

ver o status do processo de depuração Btrfs em execução:

bash btrfs scrub status /mnt

ver o status do scrub Btrfs para cada um dos dispositivos

bash btrfs scrub status -d / data btrfs scrub cancel / data

Para retomar o processo de depuração do Btrfs que você cancelou ou pausou:

btrfs scrub resume / data

Listando os subvolumes:

bash btrfs subvolume list /Reports

Criando um instantâneo dos subvolumes:

Aqui, estamos criando um instantâneo de leitura e gravação chamado snap de marketing do subvolume de marketing.

bash btrfs subvolume snapshot /Reports/marketing /Reports/marketing-snap

Além disso, você pode criar um instantâneo somente leitura usando o sinalizador -r conforme mostrado. O marketing-rosnap é um instantâneo somente leitura do subvolume de marketing

bash btrfs subvolume snapshot -r /Reports/marketing /Reports/marketing-rosnap

Forçar a sincronização do sistema de arquivos usando o utilitário 'sync'

Para forçar a sincronização do sistema de arquivos, invoque a opção de sincronização conforme mostrado. Observe que o sistema de arquivos já deve estar montado para que o processo de sincronização continue com sucesso.

bash btrfs filsystem sync /Reports

Para excluir o dispositivo do sistema de arquivos, use o comando device delete conforme mostrado.

bash btrfs device delete /dev/sdc /Reports

Para sondar o status de um scrub, use o comando scrub status com a opção -dR .

bash btrfs scrub status -dR / Relatórios

Para cancelar a execução do scrub, use o comando scrub cancel .

bash $ sudo btrfs scrub cancel / Reports

Para retomar ou continuar com uma depuração interrompida anteriormente, execute o comando de cancelamento de depuração

bash sudo btrfs scrub resume /Reports

mostra o uso do dispositivo de armazenamento:

btrfs filesystem usage /data

Para distribuir os dados, metadados e dados do sistema em todos os dispositivos de armazenamento do RAID (incluindo o dispositivo de armazenamento recém-adicionado) montados no diretório /data , execute o seguinte comando:

sudo btrfs balance start --full-balance /data

Pode demorar um pouco para espalhar os dados, metadados e dados do sistema em todos os dispositivos de armazenamento do RAID se ele contiver muitos dados.

Opções importantes de montagem Btrfs

Nesta seção, vou explicar algumas das importantes opções de montagem do Btrfs. Então vamos começar.

As opções de montagem Btrfs mais importantes são:

**1. acl e noacl

**ACL gerencia permissões de usuários e grupos para os arquivos/diretórios do sistema de arquivos Btrfs.

A opção de montagem acl Btrfs habilita ACL. Para desabilitar a ACL, você pode usar a opção de montagem noacl .

Por padrão, a ACL está habilitada. Portanto, o sistema de arquivos Btrfs usa a opção de montagem acl por padrão.

**2. autodefrag e noautodefrag

**Desfragmentar um sistema de arquivos Btrfs melhorará o desempenho do sistema de arquivos reduzindo a fragmentação de dados.

A opção de montagem autodefrag permite a desfragmentação automática do sistema de arquivos Btrfs.

A opção de montagem noautodefrag desativa a desfragmentação automática do sistema de arquivos Btrfs.

Por padrão, a desfragmentação automática está desabilitada. Portanto, o sistema de arquivos Btrfs usa a opção de montagem noautodefrag por padrão.

**3. compactar e compactar-forçar

**Controla a compactação de dados no nível do sistema de arquivos do sistema de arquivos Btrfs.

A opção compactar compacta apenas os arquivos que valem a pena compactar (se compactar o arquivo economizar espaço em disco).

A opção compress-force compacta todos os arquivos do sistema de arquivos Btrfs, mesmo que a compactação do arquivo aumente seu tamanho.

O sistema de arquivos Btrfs suporta muitos algoritmos de compactação e cada um dos algoritmos de compactação possui diferentes níveis de compactação.

Os algoritmos de compactação suportados pelo Btrfs são: lzo , zlib (nível 1 a 9) e zstd (nível 1 a 15).

Você pode especificar qual algoritmo de compactação usar para o sistema de arquivos Btrfs com uma das seguintes opções de montagem:

• compress=algoritmo:nível
• compress-force=algoritmo:nível

Para obter mais informações, consulte meu artigo Como habilitar a compactação do sistema de arquivos Btrfs .

**4. subvol e subvolid

**Estas opções de montagem são usadas para montar separadamente um subvolume específico de um sistema de arquivos Btrfs.

A opção de montagem subvol é usada para montar o subvolume de um sistema de arquivos Btrfs usando seu caminho relativo.

A opção de montagem subvolid é usada para montar o subvolume de um sistema de arquivos Btrfs usando o ID do subvolume.

Para obter mais informações, consulte meu artigo Como criar e montar subvolumes Btrfs .

**5. dispositivo

A opção de montagem de dispositivo** é usada no sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs.

Em alguns casos, o sistema operacional pode falhar ao detectar os dispositivos de armazenamento usados em um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs. Nesses casos, você pode usar a opção de montagem do dispositivo para especificar os dispositivos que deseja usar para o sistema de arquivos de vários dispositivos Btrfs ou RAID.

Você pode usar a opção de montagem de dispositivo várias vezes para carregar diferentes dispositivos de armazenamento para o sistema de arquivos de vários dispositivos Btrfs ou RAID.

Você pode usar o nome do dispositivo (ou seja, sdb , sdc ) ou UUID , UUID_SUB ou PARTUUID do dispositivo de armazenamento com a opção de montagem do dispositivo para identificar o dispositivo de armazenamento.

Por exemplo,

• dispositivo=/dev/sdb
• dispositivo=/dev/sdb,dispositivo=/dev/sdc
• dispositivo=UUID_SUB=490a263d-eb9a-4558-931e-998d4d080c5d
• device=UUID_SUB=490a263d-eb9a-4558-931e-998d4d080c5d,device=UUID_SUB=f7ce4875-0874-436a-b47d-3edef66d3424

**6. degraded

A opção de montagem degradada** permite que um RAID Btrfs seja montado com menos dispositivos de armazenamento do que o perfil RAID requer.

Por exemplo, o perfil raid1 requer a presença de 2 dispositivos de armazenamento. Se um dos dispositivos de armazenamento não estiver disponível em qualquer caso, você usa a opção de montagem degradada para montar o RAID mesmo que 1 de 2 dispositivos de armazenamento esteja disponível.

**7. commit

A opção commit** mount é usada para definir o intervalo (em segundos) dentro do qual os dados serão gravados no dispositivo de armazenamento.

O padrão é definido como 30 segundos.

Para definir o intervalo de confirmação para 15 segundos, você pode usar a opção de montagem commit=15 (digamos).

**8. ssd e nossd

A opção de montagem ssd** informa ao sistema de arquivos Btrfs que o sistema de arquivos está usando um dispositivo de armazenamento SSD, e o sistema de arquivos Btrfs faz a otimização SSD necessária.

A opção de montagem nossd desativa a otimização do SSD.

O sistema de arquivos Btrfs detecta automaticamente se um SSD é usado para o sistema de arquivos Btrfs. Se um SSD for usado, a opção de montagem de SSD será habilitada. Caso contrário, a opção de montagem nossd é habilitada.

**9. ssd_spread e nossd_spread

A opção de montagem ssd_spread** tenta alocar grandes blocos contínuos de espaço não utilizado do SSD. Esse recurso melhora o desempenho de SSDs de baixo custo (baratos).

A opção de montagem nossd_spread desativa o recurso ssd_spread .

O sistema de arquivos Btrfs detecta automaticamente se um SSD é usado para o sistema de arquivos Btrfs. Se um SSD for usado, a opção de montagem ssd_spread será habilitada. Caso contrário, a opção de montagem nossd_spread é habilitada.

**10. descarte e nodiscard

Se você estiver usando um SSD que suporte TRIM enfileirado assíncrono (SATA rev3.1), a opção de montagem de descarte** permitirá o descarte de blocos de arquivos liberados. Isso melhorará o desempenho do SSD.

Se o SSD não suportar TRIM enfileirado assíncrono, a opção de montagem de descarte prejudicará o desempenho do SSD. Nesse caso, a opção de montagem nodiscard deve ser usada.

Por padrão, a opção de montagem nodiscard é usada.

**11. norecovery

Se a opção de montagem norecovery** for usada, o sistema de arquivos Btrfs não tentará executar a operação de recuperação de dados no momento da montagem.

**12. usebackuproot e nousebackuproot

Se a opção de montagem usebackuproot for usada, o sistema de arquivos Btrfs tentará recuperar qualquer raiz de árvore ruim/corrompida no momento da montagem. O sistema de arquivos Btrfs pode armazenar várias raízes de árvore no sistema de arquivos. A opção de montagem usebackuproot** procurará uma boa raiz de árvore e usará a primeira boa que encontrar.

A opção de montagem nousebackuproot não verificará ou recuperará raízes de árvore inválidas/corrompidas no momento da montagem. Este é o comportamento padrão do sistema de arquivos Btrfs.

**13. space_cache, space_cache=version, nospace_cache e clear_cache

A opção de montagem space_cache** é usada para controlar o cache de espaço livre. O cache de espaço livre é usado para melhorar o desempenho da leitura do espaço livre do grupo de blocos do sistema de arquivos Btrfs na memória (RAM).

O sistema de arquivos Btrfs suporta 2 versões do cache de espaço livre: v1 (padrão) e v2

O mecanismo de cache de espaço livre v2 melhora o desempenho de sistemas de arquivos grandes (tamanho de vários terabytes).

Você pode usar a opção de montagem space_cache=v1 para definir a v1 do cache de espaço livre e a opção de montagem space_cache=v2 para definir a v2 do cache de espaço livre.

A opção de montagem clear_cache é usada para limpar o cache de espaço livre.

Quando o cache de espaço livre v2 é criado, o cache deve ser limpo para criar um cache de espaço livre v1 .

Portanto, para usar o cache de espaço livre v1 após a criação do cache de espaço livre v2 , as opções de montagem clear_cache e space_cache=v1 devem ser combinadas: clear_cache,space_cache=v1

A opção de montagem nospace_cache é usada para desabilitar o cache de espaço livre.

Para desabilitar o cache de espaço livre após a criação do cache v1 ou v2 , as opções de montagem nospace_cache e clear_cache devem ser combinadas: clear_cache,nosapce_cache

**14. skip_balance

Por padrão, a operação de balanceamento interrompida/pausada de um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs será retomada automaticamente assim que o sistema de arquivos Btrfs for montado. Para desabilitar a retomada automática da operação de equilíbrio interrompido/pausado em um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs, você pode usar a opção de montagem skip_balance .**

**15. datacow e nodatacow

A opção datacow** mount habilita o recurso Copy-on-Write (CoW) do sistema de arquivos Btrfs. É o comportamento padrão.

Se você deseja desabilitar o recurso Copy-on-Write (CoW) do sistema de arquivos Btrfs para os arquivos recém-criados, monte o sistema de arquivos Btrfs com a opção de montagem nodatacow .

**16. datasum e nodatasum

A opção datasum** mount habilita a soma de verificação de dados para arquivos recém-criados do sistema de arquivos Btrfs. Este é o comportamento padrão.

Se você não quiser que o sistema de arquivos Btrfs faça a soma de verificação dos dados dos arquivos recém-criados, monte o sistema de arquivos Btrfs com a opção de montagem nodatasum .

Perfis Btrfs

Um perfil Btrfs é usado para informar ao sistema de arquivos Btrfs quantas cópias dos dados/metadados devem ser mantidas e quais níveis de RAID devem ser usados para os dados/metadados. O sistema de arquivos Btrfs contém muitos perfis. Entendê-los o ajudará a configurar um RAID Btrfs da maneira que você deseja.

Os perfis Btrfs disponíveis são os seguintes:

single : Se o perfil único for usado para os dados/metadados, apenas uma cópia dos dados/metadados será armazenada no sistema de arquivos, mesmo se você adicionar vários dispositivos de armazenamento ao sistema de arquivos. Assim, 100% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser utilizado.

dup : Se o perfil dup for usado para os dados/metadados, cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos manterá duas cópias dos dados/metadados. Assim, 50% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser utilizado.

raid0 : No perfil raid0 , os dados/metadados serão divididos igualmente em todos os dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, não haverá dados/metadados redundantes (duplicados). Assim, 100% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser usado. Se, em qualquer caso, um dos dispositivos de armazenamento falhar, todo o sistema de arquivos será corrompido. Você precisará de pelo menos dois dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid0 .

raid1 : No perfil raid1 , duas cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a uma falha de unidade. Mas você pode usar apenas 50% do espaço total em disco. Você precisará de pelo menos dois dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1 .

raid1c3 : No perfil raid1c3 , três cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a duas falhas de unidade, mas você pode usar apenas 33% do espaço total em disco. Você precisará de pelo menos três dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1c3 .

raid1c4 : No perfil raid1c4 , quatro cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a três falhas de unidade, mas você pode usar apenas 25% do espaço total em disco. Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1c4 .

raid10 : No perfil raid10 , duas cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos, como no perfil raid1 . Além disso, os dados/metadados serão divididos entre os dispositivos de armazenamento, como no perfil raid0 .

O perfil raid10 é um híbrido dos perfis raid1 e raid0 . Alguns dos dispositivos de armazenamento formam arrays raid1 e alguns desses arrays raid1 são usados para formar um array raid0 . Em uma configuração raid10 , o sistema de arquivos pode sobreviver a uma única falha de unidade em cada uma das matrizes raid1 .

Você pode usar 50% do espaço total em disco na configuração raid10 . Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid10 .

raid5 : No perfil raid5 , uma cópia dos dados/metadados será dividida entre os dispositivos de armazenamento. Uma única paridade será calculada e distribuída entre os dispositivos de armazenamento do array RAID.

Em uma configuração raid5 , o sistema de arquivos pode sobreviver a uma única falha de unidade. Se uma unidade falhar, você pode adicionar uma nova unidade ao sistema de arquivos e os dados perdidos serão calculados a partir da paridade distribuída das unidades em execução.

Você pode usar 1 00x(N-1)/N % do total de espaços em disco na configuração raid5 . Aqui, N é o número de dispositivos de armazenamento adicionados ao sistema de arquivos. Você precisará de pelo menos três dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid5 .

raid6 : No perfil raid6 , uma cópia dos dados/metadados será dividida entre os dispositivos de armazenamento. Duas paridades serão calculadas e distribuídas entre os dispositivos de armazenamento do array RAID.

Em uma configuração raid6 , o sistema de arquivos pode sobreviver a duas falhas de unidade ao mesmo tempo. Se uma unidade falhar, você poderá adicionar uma nova unidade ao sistema de arquivos e os dados perdidos serão calculados a partir das duas paridades distribuídas das unidades em execução.

Você pode usar 100x(N-2)/N % do espaço total em disco na configuração raid6 . Aqui, N é o número de dispositivos de armazenamento adicionados ao sistema de arquivos. Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid6 .

@ a5ee4475:2ca75401

clients #link #list #english #article #finalversion #descentralismo

*These clients are generally applications on the Nostr network that allow you to use the same account, regardless of the app used, keeping your messages and profile intact.

**However, you may need to meet certain requirements regarding access and account NIP for some clients, so that you can access them securely and use their features correctly.

---

CLIENTS

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Twitter like

• Nostrmo - [source] 🌐💻(🐧🪟🍎)🍎🤖(on zapstore)
• Coracle - Super App [source] 🌐🤖(on zapstore)
• Amethyst - Super App with note edit, delete and other stuff with Tor [source] 🤖(on zapstore)
• Primal - Social and wallet [source] 🌐🍎🤖(on zapstore)
• Iris - [source] 🌐🤖🍎
• Current - [source] 🤖🍎
• FreeFrom 🤖🍎
• Openvibe - Nostr and others (new Plebstr) [source] 🤖🍎
• Snort 🌐(🤖[early access]) [onion] [source]
• Damus 🍎 [source]
• Nos 🍎 [source]
• Nostur 🍎 [source]
• NostrBand 🌐 [info] [source]
• Yana [source] 🌐💻(🐧) 🍎🤖(on zapstore)
• Nostribe [on development] 🌐 [source]
• Lume 💻(🐧🪟🍎) [info] [source]
• Gossip - [source] 💻(🐧🪟🍎)
• noStrudel - Gamified Experience [onion] [info/source] 🌐
• [Nostrudel Next] - [onion]
• moStard - Nostrudel with Monero [onion] [info/source] 🌐
• Camelus - [source] 🤖 [early access]

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Community

• CCNS - Community Curated Nostr Stuff [source]
• Nostr Kiwi [creator] 🌐
• Satellite [info] 🌐
• Flotilla - [source] 🌐🐧🤖(on zapstore)
• Chachi - [source] 🌐
• Futr - Coded in haskell [source] 🐧 (others soon)
• Soapbox - Comunnity server [info] [source] 🌐
• Ditto - Soapbox community server 🌐 [source] 🌐
• Cobrafuma - Nostr brazilian community on Ditto [info] 🌐
• Zapddit - Reddit like [source] 🌐
• Voyage (Reddit like) [on development] 🤖

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Wiki

• Wikifreedia - Wiki Dark mode [source] 🌐
• Wikinostr - Wiki with tabs clear mode [source] 🌐
• Wikistr - Wiki clear mode [info] [source] 🌐

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Search

• Keychat - Signal-like chat with AI and browser [source] 💻(🐧🪟🍎) - 📱(🍎🤖{on zapstore})
• Spring - Browser for Nostr apps and other sites [source] 🤖 (on zapstore)
• Advanced nostr search - Advanced note search by isolated terms related to a npub profile [source] 🌐
• Nos Today - Global note search by isolated terms [info] [source] 🌐
• Nostr Search Engine - API for Nostr clients [source]
• Ntrends - Trending notes and profiles 🌐

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Website

• Nsite - Nostr Site [onion] [info] [source]
• Nsite Gateway - Nostr Site Gateway [source]
• Npub pro - Your site on Nostr [source]

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App Store

ZapStore - Permitionless App Store [source] 🤖 💻(🐧🍎)

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Video and Live Streaming

• Flare - Youtube like 🌐 [source]
• ZapStream - Lives, videos, shorts and zaps (NIP-53) [source] 🌐 🤖(lives only | Amber | on zapstore)
• Swae - Live streaming [source] (on development) ⏳

Post Aggregator - Kinostr - Nostr Cinema with #kinostr [english] [author] 🌐 - Stremstr - Nostr Cinema with #kinostr [english] [source] 📱 (on development) ⏳

Link Agreggator - Kinostr - #kinostr - Nostr Cinema Profile with links [English] - Equinox - Nostr Cinema Community with links [Portuguese]

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Audio and Podcast Transmission

• Castr - Your npub as podcast feed [source]
• Nostr Nests - Audio Chats [source] 🌐
• Fountain - Podcast [source] 🤖🍎
• Corny Chat - Audio Chat [source] 🌐

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Music

• Tidal - Music Streaming [source] [about] [info] 🤖🍎🌐
• Wavlake - Music Streaming [source] 🌐(🤖🍎 [early access])
• Tunestr - Musical Events [source] [about] 🌐
• Stemstr - Musical Colab (paid to post) [source] [about] 🌐

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Images

• Lumina - Trending images and pictures [source] 🌐
• Pinstr - Pinterest like [source] 🌐
• Slidestr - DeviantArt like [source] 🌐
• Memestr - ifunny like [source] 🌐

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Download and Upload

• DTAN - Distributed Torrent Archive on Nostr [info] [source] 🌐

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Documents, graphics and tables

• Mindstr - Mind maps [source] 🌐
• Docstr - Share Docs [info] [source] 🌐
• Formstr - Share Forms [info] 🌐
• Sheetstr - Share Spreadsheets [source] 🌐
• Slide Maker - Share slides 🌐 [Advice: Slide Maker https://zaplinks.lol/ site is down]

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Health

• Sobrkey - Sobriety and mental health [source] 🌐
• Runstr - Running app [source] 🌐
• NosFabrica - Finding ways for your health data 🌐
• LazerEyes - Eye prescription by DM [source] 🌐

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Forum

• OddBean - Hacker News like [info] [source] 🌐
• LowEnt - Forum [info] 🌐
• Swarmstr - Q&A / FAQ [info] 🌐
• Staker News - Hacker News like 🌐 [info]

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Direct Messenges (DM)

• 0xchat 🤖🍎 [source]
• Nostr Chat 🌐🍎 [source]
• Blowater 🌐 [source]
• Anigma (new nostrgram) - Telegram based [on development] [source]

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Reading

• Oracolo - A minimalist Nostr html blog [source]
• nRSS - Nostr RSS reader 🌐
• Highlighter - Insights with a highlighted read [info] 🌐
• Zephyr - Calming to Read [info] 🌐
• Flycat - Clean and Healthy Feed [info] 🌐
• Nosta - Check Profiles [on development] [info] 🌐
• Alexandria - e-Reader and Nostr Knowledge Base (NKB) [source] 🌐

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Writing

• Habla - Blog [info] 🌐
• Blogstack - Blog [info]🌐
• YakiHonne - Articles and News [info] 🌐🍎🤖(on zapstore)

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Lists

• Following - Users list [source] 🌐
• Nostr Unfollower - Nostr Unfollower
• Listr - Lists [source] 🌐
• Nostr potatoes - Movies List [source] 💻(numpy)

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Market and Jobs

• Shopstr - Buy and Sell [onion] [source] 🌐
• Nostr Market - Buy and Sell 🌐
• Plebeian Market - Buy and Sell [source] 🌐
• Ostrich Work - Jobs [source] 🌐
• Nostrocket - Jobs [source] 🌐

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Data Vending Machines - DVM (NIP90)

(Data-processing tools)

• Noogle - [source] 🌐
• Vendata - [source] 🌐
• TaskTiger 🌐
• Malware DVMs 🌐

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Games

• Chesstr - Chess 🌐 [source]
• Jestr - Chess [source] 🌐
• Snakestr - Snake game [source] 🌐
• Snakes on a Relay - Multiplayer Snake game like slither.io [source] 🌐

ENGINES - DEG Mods - Decentralized Game Mods [info] [source] 🌐 - NG Engine - Nostr Game Engine [source] 🌐 - JmonkeyEngine - Java game engine [source] 🌐

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Customization

• Emojito - Send Funny Stickers to React 🌐 [creator]

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Like other Services

• Olas - Instagram like [source] 🌐🍎🤖(on zapstore)
• Nostree - Linktree like 🌐
• Rabbit - TweetDeck like [info] 🌐
• Zaplinks - Nostr links 🌐
• Omeglestr - Omegle-like Random Chats [source] 🌐

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General Uses

• Njump - HTML text gateway source 🌐
• Filestr - HTML midia gateway [source] 🌐
• W3 - Nostr URL shortener [source] 🌐
• Playground - Test Nostr filters [source] 🌐

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Places

• Wherostr - Travel and show where you are
• Arc Map (Mapstr) - Bitcoin Map [info]

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Driver and Delivery

• RoadRunner - Uber like [on development] ⏱️
• Nostrlivery - iFood like [on development] ⏱️

⚠️ SCAM ⚠️ | Arcade City - Uber like [source]

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OTHER STUFF

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Lightning Wallets (zap)

• Alby - Native and extension [info] 🌐
• ZBD - Gaming and Social [info] [source] 🤖🍎
• Wallet of Satoshi - Simplest Lightning Wallet [info] 🤖🍎
• Minibits - Cashu mobile wallet [info] 🤖
• Blink - Opensource custodial wallet (KYC over 1000 usd) [source] 🤖🍎
• LNbits - App and extesion [source] 🤖🍎💻
• Zeus - [info] [source] 🤖🍎

Without Zap - Wassabi Wallet - Privacy-focused and non-custodial with Nostr Update Manager [source]

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Exchange

• Mostro - P2P lightning exchange on Nostr [info] 🌐
• Emptio - Bitcoin P2P on Nostr [on development]

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Media Server (Upload Links)

audio, image and video

Connected with Nostr (NIP):

• Nostr Build - Free and paid Upload [info] [source] 🌐
• NostrMedia - Written in Go with Nip 96 / Blossom (free and paid) [info] [source]
• Nostr Check - [info] [source] 🌐
• NostPic - [info] [source] 🌐
• Sovbit - Free and paid upload [info] [source] 🌐
• Voidcat - Nip-96 and Blossom [source] 🌐
• Primal Media - Primal Media Uploader [source] 🌐

Blossom - Your Media Safer

• Primal Blossom 🌐
• NostrBuild Blossom - Free upload (max 100MiB) and paid [info] [source] 🌐

Paid Upload Only

• Satellite CDN - prepaid upload (max 5GB each) [info] [source] 🌐

Without Nostr NIP:

• Pomf - Upload larger videos (max 1GB) [source]
• Catbox - max 200 MB [source]
• x0 - max 512 MiB [source]

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Donation and payments

• Zapper - Easy Zaps [source] 🌐
• Autozap [source] 🌐
• Zapmeacoffee 🌐
• Nostr Zap 💻(numpy)
• Creatr - Creators subscription 🌐
• Geyzer - Crowdfunding [info] [source] 🌐
• Heya! - Crowdfunding [source]

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Security

• Secret Border - Generate offline keys 💻(java)
• Umbrel - Your private relay [source] 🌐

---

Key signing/login and Extension

• Amber - Key signing [source] 🤖(on zapstore)
• Nowser - Account access keys 📱(🤖🍎) 💻(🐧🍎🪟)
• Nos2x - Account access keys 🌐
• Nsec.app 🌐 [info]
• Lume - [info] [source] 🐧🪟🍎
• Satcom - Share files to discuss - [info] 🌐
• KeysBand - Multi-key signing [source] 🌐

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Code

• Stacks - AI Templates [info] [source] 🌐
• Nostrify - Share Nostr Frameworks 🌐
• Git Workshop (github like) [experimental] 🌐
• Gitstr (github like) [on development] ⏱️
• Osty [on development] [info] 🌐
• Python Nostr - Python Library for Nostr
• Sybil - Creating, managing and test Nostr events [on development] ⏱️

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Relay Check and Cloud

• Nostr Watch - See your relay speed 🌐
• NosDrive - Nostr Relay that saves to Google Drive

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Bidges and Getways

• Matrixtr Bridge - Between Matrix & Nostr
• Mostr - Between Nostr & Fediverse
• Nostrss - RSS to Nostr
• Rsslay - Optimized RSS to Nostr [source]
• Atomstr - RSS/Atom to Nostr [source]

Useful Profiles and Trends

nostr-voice - Voice note (just some clients)

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NOT RELATED TO NOSTR

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Voca - Text-to-Speech App for GrapheneOS [source] 🤖(on zapstore)

Android Keyboards

• Futo - Gboard like [source]
• Florisboard - [source]
• Heliboard - Openboard based [source]

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Personal notes and texts

• Joplin - privacy-focused note taking app with sync capabilities [source] 📱(🤖🍎) - 💻 (🐧🪟🍎)

---

Front-ends

• Nitter - Twitter / X without your data [source]
• NewPipe - Youtube, Peertube and others, without account & your data [source] 🤖
• Piped - Youtube web without you data [source] 🌐

---

Other Services

• Brave - Browser [source]
• DuckDuckGo - Search [source]
• LLMA - Meta - Meta open source AI [source]
• DuckDuckGo AI Chat - Famous AIs without Login [source]
• Proton Mail - Mail [source]

Other open source index: Degoogled Apps

---

Some other Nostr index on:

Nostr Apps | Nostorg | Awesome Nostr

@ 57d1a264:69f1fee1

LegoGPT generates a LEGO structure from a user-provided text prompt in an end-to-end manner. Notably, our generated LEGO structure is physically stable and buildable.

Lego is something most of us knows. This is a opportuity to ask where is our creativity going? From the art of crafting figures to building blocks following our need and desires to have a machine thinking and building following step-by-step instructions to achieve an isolated goal.

Is the creative act then in the question itself, not anymore in the crafting? Are we just delegating the solution of problems, the thinking of how to respond to questions, to machines? Would it be different if delegated to other people?

Source: https://avalovelace1.github.io/LegoGPT/

https://stacker.news/items/981336

@ c066aac5:6a41a034

I’m drawn to extremities in art. The louder, the bolder, the more outrageous, the better. Bold art takes me out of the mundane into a whole new world where anything and everything is possible. Having grown up in the safety of the suburban midwest, I was a bit of a rebellious soul in search of the satiation that only came from the consumption of the outrageous. My inclination to find bold art draws me to NOSTR, because I believe NOSTR can be the place where the next generation of artistic pioneers go to express themselves. I also believe that as much as we are able, were should invite them to come create here.

My Background: A Small Side Story

My father was a professional gamer in the 80s, back when there was no money or glory in the avocation. He did get a bit of spotlight though after the fact: in the mid 2000’s there were a few parties making documentaries about that era of gaming as well as current arcade events (namely 2007’sChasing GhostsandThe King of Kong: A Fistful of Quarters). As a result of these documentaries, there was a revival in the arcade gaming scene. My family attended events related to the documentaries or arcade gaming and I became exposed to a lot of things I wouldn’t have been able to find. The producer ofThe King of Kong: A Fistful of Quarters had previously made a documentary calledNew York Dollwhich was centered around the life of bassist Arthur Kane. My 12 year old mind was blown: The New York Dolls were a glam-punk sensation dressed in drag. The music was from another planet. Johnny Thunders’ guitar playing was like Chuck Berry with more distortion and less filter. Later on I got to meet the Galaga record holder at the time, Phil Day, in Ottumwa Iowa. Phil is an Australian man of high intellect and good taste. He exposed me to great creators such as Nick Cave & The Bad Seeds, Shakespeare, Lou Reed, artists who created things that I had previously found inconceivable.

I believe this time period informed my current tastes and interests, but regrettably I think it also put coals on the fire of rebellion within. I stopped taking my parents and siblings seriously, the Christian faith of my family (which I now hold dearly to) seemed like a mundane sham, and I felt I couldn’t fit in with most people because of my avant-garde tastes. So I write this with the caveat that there should be a way to encourage these tastes in children without letting them walk down the wrong path. There is nothing inherently wrong with bold art, but I’d advise parents to carefully find ways to cultivate their children’s tastes without completely shutting them down and pushing them away as a result. My parents were very loving and patient during this time; I thank God for that.

With that out of the way, lets dive in to some bold artists:

Nicolas Cage: Actor

There is an excellent video by Wisecrack on Nicolas Cage that explains him better than I will, which I will linkhere. Nicolas Cage rejects the idea that good acting is tied to mere realism; all of his larger than life acting decisions are deliberate choices. When that clicked for me, I immediately realized the man is a genius. He borrows from Kabuki and German Expressionism, art forms that rely on exaggeration to get the message across. He has even created his own acting style, which he calls Nouveau Shamanic. He augments his imagination to go from acting to being. Rather than using the old hat of method acting, he transports himself to a new world mentally. The projects he chooses to partake in are based on his own interests or what he considers would be a challenge (making a bad script good for example). Thus it doesn’t matter how the end result comes out; he has already achieved his goal as an artist. Because of this and because certain directors don’t know how to use his talents, he has a noticeable amount of duds in his filmography. Dig around the duds, you’ll find some pure gold. I’d personally recommend the filmsPig, Joe, Renfield, and his Christmas film The Family Man.

Nick Cave: Songwriter

What a wild career this man has had! From the apocalyptic mayhem of his band The Birthday Party to the pensive atmosphere of his albumGhosteen, it seems like Nick Cave has tried everything. I think his secret sauce is that he’s always working. He maintains an excellent newsletter calledThe Red Hand Files, he has written screenplays such asLawless, he has written books, he has made great film scores such asThe Assassination of Jesse James by the Coward Robert Ford, the man is religiously prolific. I believe that one of the reasons he is prolific is that he’s not afraid to experiment. If he has an idea, he follows it through to completion. From the albumMurder Ballads(which is comprised of what the title suggests) to his rejected sequel toGladiator(Gladiator: Christ Killer), he doesn’t seem to be afraid to take anything on. This has led to some over the top works as well as some deeply personal works. Albums likeSkeleton TreeandGhosteenwere journeys through the grief of his son’s death. The Boatman’s Callis arguably a better break-up album than anything Taylor Swift has put out. He’s not afraid to be outrageous, he’s not afraid to offend, but most importantly he’s not afraid to be himself. Works I’d recommend include The Birthday Party’sLive 1981-82, Nick Cave & The Bad Seeds’The Boatman’s Call, and the filmLawless.

Jim Jarmusch: Director

I consider Jim’s films to be bold almost in an ironic sense: his works are bold in that they are, for the most part, anti-sensational. He has a rule that if his screenplays are criticized for a lack of action, he makes them even less eventful. Even with sensational settings his films feel very close to reality, and they demonstrate the beauty of everyday life. That's what is bold about his art to me: making the sensational grounded in reality while making everyday reality all the more special. Ghost Dog: The Way of the Samurai is about a modern-day African-American hitman who strictly follows the rules of the ancient Samurai, yet one can resonate with the humanity of a seemingly absurd character. Only Lovers Left Aliveis a vampire love story, but in the middle of a vampire romance one can see their their own relationships in a new deeply human light. Jim’s work reminds me that art reflects life, and that there is sacred beauty in seemingly mundane everyday life. I personally recommend his filmsPaterson,Down by Law, andCoffee and Cigarettes.

NOSTR: We Need Bold Art

NOSTR is in my opinion a path to a better future. In a world creeping slowly towards everything apps, I hope that the protocol where the individual owns their data wins over everything else. I love freedom and sovereignty. If NOSTR is going to win the race of everything apps, we need more than Bitcoin content. We need more than shirtless bros paying for bananas in foreign countries and exercising with girls who have seductive accents. Common people cannot see themselves in such a world. NOSTR needs to catch the attention of everyday people. I don’t believe that this can be accomplished merely by introducing more broadly relevant content; people are searching for content that speaks to them. I believe that NOSTR can and should attract artists of all kinds because NOSTR is one of the few places on the internet where artists can express themselves fearlessly. Getting zaps from NOSTR’s value-for-value ecosystem has far less friction than crowdfunding a creative project or pitching investors that will irreversibly modify an artist’s vision. Having a place where one can post their works without fear of censorship should be extremely enticing. Having a place where one can connect with fellow humans directly as opposed to a sea of bots should seem like the obvious solution. If NOSTR can become a safe haven for artists to express themselves and spread their work, I believe that everyday people will follow. The banker whose stressful job weighs on them will suddenly find joy with an original meme made by a great visual comedian. The programmer for a healthcare company who is drowning in hopeless mundanity could suddenly find a new lust for life by hearing the song of a musician who isn’t afraid to crowdfund their their next project by putting their lighting address on the streets of the internet. The excel guru who loves independent film may find that NOSTR is the best way to support non corporate movies. My closing statement: continue to encourage the artists in your life as I’m sure you have been, but while you’re at it give them the purple pill. You may very well be a part of building a better future.

@ fd208ee8:0fd927c1

I am so tired of people trying to waste my time with Nostrized imitations of stuff that already exists.

Instagram, but make it Nostr. Twitter, but make it Nostr. GitHub, but make it Nostr. Facebook, but make it Nostr. Wordpress, but make it Nostr. GoodReads, but make it Nostr. TikTok, but make it Nostr.

That stuff already exists, and it wasn't that great the first time around, either. Build something better than that stuff, that can only be brought into existence because of Nostr.

Build something that does something completely and awesomely new. Knock my socks off, bro.

Cuz, ain't nobody got time for that.

@ 57d1a264:69f1fee1

Just another Ecash nutsnote design is a ew template for brrr.gandlaf.com cashu tocken printing machine and honoring Ecash ideator David Lee Chaum. Despite the turn the initial project took, we would not have Ecash today without his pioneering approach in cryptography and privacy-preserving technologies.

A simple KISS (Keep It Super Simple) Ecash nutsnote delivered as SVG, nothing fancy, designed in PenPot, an open source design tool, for slides, presentations, mockups and interactive prototypes.

Here Just another Nutsnote's current state, together with some snapshots along the process. Your feedback is more than welcome.

https://design.penpot.app/#/view?file-id=749aaa04-8836-81c6-8006-0b29916ec156&page-id=749aaa04-8836-81c6-8006-0b29916ec157&section=interactions&index=0&share-id=addba4d5-28a4-8022-8006-2ecc4316ebb2

originally posted at https://stacker.news/items/979728

@ e6817453:b0ac3c39

The Rise of Graph RAGs and the Quest for Data Quality

As we enter a new year, it’s impossible to ignore the boom of retrieval-augmented generation (RAG) systems, particularly those leveraging graph-based approaches. The previous year saw a surge in advancements and discussions about Graph RAGs, driven by their potential to enhance large language models (LLMs), reduce hallucinations, and deliver more reliable outputs. Let’s dive into the trends, challenges, and strategies for making the most of Graph RAGs in artificial intelligence.

Booming Interest in Graph RAGs

Graph RAGs have dominated the conversation in AI circles. With new research papers and innovations emerging weekly, it’s clear that this approach is reshaping the landscape. These systems, especially those developed by tech giants like Microsoft, demonstrate how graphs can:

• Enhance LLM Outputs: By grounding responses in structured knowledge, graphs significantly reduce hallucinations.
• Support Complex Queries: Graphs excel at managing linked and connected data, making them ideal for intricate problem-solving.

Conferences on linked and connected data have increasingly focused on Graph RAGs, underscoring their central role in modern AI systems. However, the excitement around this technology has brought critical questions to the forefront: How do we ensure the quality of the graphs we’re building, and are they genuinely aligned with our needs?

Data Quality: The Foundation of Effective Graphs

A high-quality graph is the backbone of any successful RAG system. Constructing these graphs from unstructured data requires attention to detail and rigorous processes. Here’s why:

• Richness of Entities: Effective retrieval depends on graphs populated with rich, detailed entities.
• Freedom from Hallucinations: Poorly constructed graphs amplify inaccuracies rather than mitigating them.

Without robust data quality, even the most sophisticated Graph RAGs become ineffective. As a result, the focus must shift to refining the graph construction process. Improving data strategy and ensuring meticulous data preparation is essential to unlock the full potential of Graph RAGs.

Hybrid Graph RAGs and Variations

While standard Graph RAGs are already transformative, hybrid models offer additional flexibility and power. Hybrid RAGs combine structured graph data with other retrieval mechanisms, creating systems that:

• Handle diverse data sources with ease.
• Offer improved adaptability to complex queries.

Exploring these variations can open new avenues for AI systems, particularly in domains requiring structured and unstructured data processing.

Ontology: The Key to Graph Construction Quality

Ontology — defining how concepts relate within a knowledge domain — is critical for building effective graphs. While this might sound abstract, it’s a well-established field blending philosophy, engineering, and art. Ontology engineering provides the framework for:

• Defining Relationships: Clarifying how concepts connect within a domain.
• Validating Graph Structures: Ensuring constructed graphs are logically sound and align with domain-specific realities.

Traditionally, ontologists — experts in this discipline — have been integral to large enterprises and research teams. However, not every team has access to dedicated ontologists, leading to a significant challenge: How can teams without such expertise ensure the quality of their graphs?

How to Build Ontology Expertise in a Startup Team

For startups and smaller teams, developing ontology expertise may seem daunting, but it is achievable with the right approach:

1. Assign a Knowledge Champion: Identify a team member with a strong analytical mindset and give them time and resources to learn ontology engineering.
2. Provide Training: Invest in courses, workshops, or certifications in knowledge graph and ontology creation.
3. Leverage Partnerships: Collaborate with academic institutions, domain experts, or consultants to build initial frameworks.
4. Utilize Tools: Introduce ontology development tools like Protégé, OWL, or SHACL to simplify the creation and validation process.
5. Iterate with Feedback: Continuously refine ontologies through collaboration with domain experts and iterative testing.

So, it is not always affordable for a startup to have a dedicated oncologist or knowledge engineer in a team, but you could involve consulters or build barefoot experts.

You could read about barefoot experts in my article :

Even startups can achieve robust and domain-specific ontology frameworks by fostering in-house expertise.

How to Find or Create Ontologies

For teams venturing into Graph RAGs, several strategies can help address the ontology gap:

1. Leverage Existing Ontologies: Many industries and domains already have open ontologies. For instance:

2. Public Knowledge Graphs: Resources like Wikipedia’s graph offer a wealth of structured knowledge.

3. Industry Standards: Enterprises such as Siemens have invested in creating and sharing ontologies specific to their fields.

4. Business Framework Ontology (BFO): A valuable resource for enterprises looking to define business processes and structures.

5. Build In-House Expertise: If budgets allow, consider hiring knowledge engineers or providing team members with the resources and time to develop expertise in ontology creation.

6. Utilize LLMs for Ontology Construction: Interestingly, LLMs themselves can act as a starting point for ontology development:

7. Prompt-Based Extraction: LLMs can generate draft ontologies by leveraging their extensive training on graph data.

8. Domain Expert Refinement: Combine LLM-generated structures with insights from domain experts to create tailored ontologies.

Parallel Ontology and Graph Extraction

An emerging approach involves extracting ontologies and graphs in parallel. While this can streamline the process, it presents challenges such as:

• Detecting Hallucinations: Differentiating between genuine insights and AI-generated inaccuracies.
• Ensuring Completeness: Ensuring no critical concepts are overlooked during extraction.

Teams must carefully validate outputs to ensure reliability and accuracy when employing this parallel method.

LLMs as Ontologists

While traditionally dependent on human expertise, ontology creation is increasingly supported by LLMs. These models, trained on vast amounts of data, possess inherent knowledge of many open ontologies and taxonomies. Teams can use LLMs to:

• Generate Skeleton Ontologies: Prompt LLMs with domain-specific information to draft initial ontology structures.
• Validate and Refine Ontologies: Collaborate with domain experts to refine these drafts, ensuring accuracy and relevance.

However, for validation and graph construction, formal tools such as OWL, SHACL, and RDF should be prioritized over LLMs to minimize hallucinations and ensure robust outcomes.

Final Thoughts: Unlocking the Power of Graph RAGs

The rise of Graph RAGs underscores a simple but crucial correlation: improving graph construction and data quality directly enhances retrieval systems. To truly harness this power, teams must invest in understanding ontologies, building quality graphs, and leveraging both human expertise and advanced AI tools.

As we move forward, the interplay between Graph RAGs and ontology engineering will continue to shape the future of AI. Whether through adopting existing frameworks or exploring innovative uses of LLMs, the path to success lies in a deep commitment to data quality and domain understanding.

Have you explored these technologies in your work? Share your experiences and insights — and stay tuned for more discussions on ontology extraction and its role in AI advancements. Cheers to a year of innovation!

@ b8851a06:9b120ba1

It Begins with a Click

It starts with a click: “Do you agree to our terms and conditions?”\ You scroll, you click, you comply. A harmless act, right? But what if every click was a surrender? What if every "yes" was another link in the chain binding you to a life where freedom requires approval?

This is the age of permission. Every aspect of your life is mediated by gatekeepers. Governments demand forms, corporations demand clicks, and algorithms demand obedience. You’re free, of course, as long as you play by the rules. But who writes the rules? Who decides what’s allowed? Who owns your life?

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Welcome to Digital Serfdom

We once imagined the internet as a digital frontier—a vast, open space where ideas could flow freely and innovation would know no bounds. But instead of creating a decentralized utopia, we built a new feudal system.

• Your data? Owned by the lords of Big Tech.
• Your money? Controlled by banks and bureaucrats who can freeze it on a whim.
• Your thoughts? Filtered by algorithms that reward conformity and punish dissent.

The modern internet is a land of serfs and lords, and guess who’s doing the farming? You. Every time you agree to the terms, accept the permissions, or let an algorithm decide for you, you till the fields of a system designed to control, not liberate.

They don’t call it control, of course. They call it “protection.” They say, “We’re keeping you safe,” as they build a cage so big you can’t see the bars.

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Freedom in Chains

But let’s be honest: we’re not just victims of this system—we’re participants. We’ve traded freedom for convenience, sovereignty for security. It’s easier to click “I Agree” than to read the fine print. It’s easier to let someone else hold your money than to take responsibility for it yourself. It’s easier to live a life of quiet compliance than to risk the chaos of true independence.

We tell ourselves it’s no big deal. What’s one click? What’s one form? But the permissions pile up. The chains grow heavier. And one day, you wake up and realize you’re free to do exactly what the system allows—and nothing more.

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The Great Unpermissioning

It doesn’t have to be this way. You don’t need their approval. You don’t need their systems. You don’t need their permission.

The Great Unpermissioning is not a movement—it’s a mindset. It’s the refusal to accept a life mediated by gatekeepers. It’s the quiet rebellion of saying, “No.” It’s the realization that the freedom you seek won’t be granted—it must be reclaimed.

• Stop asking. Permission is their tool. Refusal is your weapon.
• Start building. Embrace tools that decentralize power: Bitcoin, encryption, open-source software, decentralized communication. Build systems they can’t control.
• Stand firm. They’ll tell you it’s dangerous. They’ll call you a radical. But remember: the most dangerous thing you can do is comply.

The path won’t be easy. Freedom never is. But it will be worth it.

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The New Frontier

The age of permission has turned us into digital serfs, but there’s a new frontier on the horizon. It’s a world where you control your money, your data, your decisions. It’s a world of encryption, anonymity, and sovereignty. It’s a world built not on permission but on principles.

This world won’t be given to you. You have to build it. You have to fight for it. And it starts with one simple act: refusing to comply.

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A Final Word

They promised us safety, but what they delivered was submission. The age of permission has enslaved us to the mundane, the monitored, and the mediocre. The Great Unpermissioning isn’t about tearing down the old world—it’s about walking away from it.

You don’t need to wait for their approval. You don’t need to ask for their permission. The freedom you’re looking for is already yours. Permission is their power—refusal is yours.

@ 3104fbbf:ac623068

Introduction

If you have a functioning brain, it’s impossible to fully stand for any politician or align completely with any political party. The solutions we need are not found in the broken systems of power but in individual actions and local initiatives. Voting for someone may be your choice, but relying solely on elections every few years as a form of political activism is a losing strategy. People around the world have fallen into the trap of thinking that casting a ballot once every four years is enough, only to return to complacency as conditions worsen. Voting for the "lesser of two evils" has been the norm for decades, yet expecting different results from the same flawed system is naive at best.

The truth is, governments are too corrupt to save us. In times of crisis, they won’t come to your aid—instead, they will tighten their grip, imposing more surveillance, control, and wealth extraction to benefit the oligarch class. To break free from this cycle, we must first protect ourselves individually—financially, geographically, and digitally—alongside our families.

Then, we must organize and build resilient local communities. These are the only ways forward. History has shown us time and again that the masses are easily deceived by the political circus, falling for the illusion of a "savior" who will fix everything. But whether right, center, or left, the story remains the same: corruption, lies, and broken promises. If you possess a critical and investigative mind, you know better than to place your trust in politicians, parties, or self-proclaimed heroes. The real solution lies in free and sovereign individuals who reject the herd mentality and take responsibility for their own lives.

From the beginning of time, true progress has come from individuals who think for themselves and act independently. The nauseating web of politicians, billionaires, and oligarchs fighting for power and resources has never been—and will never be—the answer to our problems. In a world increasingly dominated by corrupted governments, NGOs, and elites, ordinary people must take proactive steps to protect themselves and their families.

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1. Financial Protection: Reclaiming Sovereignty Through Bitcoin

Governments and central banks have long manipulated fiat currencies, eroding wealth through inflation and bailouts that transfer resources to the oligarch class. Bitcoin, as a decentralized, censorship-resistant, and finite currency, offers a way out. Here’s what individuals can do:

• Adopt Bitcoin as a Savings Tool: Shift a portion of your savings into Bitcoin to protect against inflation and currency devaluation. Bitcoin’s fixed supply (21 million coins) ensures it cannot be debased like fiat money.

• Learn Self-Custody: Store your Bitcoin in a hardware wallet or use open-source software wallets. Avoid centralized exchanges, which are vulnerable to government seizure or collapse.

• Diversify Geographically: Hold assets in multiple jurisdictions to reduce the risk of confiscation or capital controls. Consider offshore accounts or trusts if feasible.

• Barter and Local Economies: In times of crisis, local barter systems and community currencies can bypass failing national systems. Bitcoin can serve as a global medium of exchange in such scenarios.

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2. Geographical Flexibility: Reducing Dependence on Oppressive Systems

Authoritarian regimes thrive on controlling populations within fixed borders. By increasing geographical flexibility, individuals can reduce their vulnerability:

• Obtain Second Passports or Residencies: Invest in citizenship-by-investment programs or residency permits in countries with greater freedoms and lower surveillance.

• Relocate to Freer Jurisdictions: Research and consider moving to regions with stronger property rights, lower taxes, and less government overreach.

• Decentralize Your Life: Avoid keeping all your assets, family, or business operations in one location. Spread them across multiple regions to mitigate risks.

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3. Digital Privacy: Fighting Surveillance with Advanced Tools

The rise of mass surveillance and data harvesting by governments and corporations threatens individual freedom. Here’s how to protect yourself:

• Use Encryption: Encrypt all communications using tools like Signal or ProtonMail. Ensure your devices are secured with strong passwords and biometric locks.

• Adopt Privacy-Focused Technologies: Use Tor for anonymous browsing, VPNs to mask your IP address, and open-source operating systems like Linux to avoid backdoors.

• Reject Surveillance Tech: Avoid smart devices that spy on you (e.g., Alexa, Google Home). Opt for decentralized alternatives like Mastodon instead of Twitter, or PeerTube instead of YouTube.

• Educate Yourself on Digital Privacy: Learn about tools and practices that enhance your online privacy and security.

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4. Building Resilient Local Communities: The Foundation of a Free Future

While individual actions are crucial, collective resilience is equally important. Governments are too corrupt to save populations in times of crisis—history shows they will instead impose more control and transfer wealth to the elite.

To counter this, communities must organize locally:

• Form Mutual Aid Networks: Create local groups that share resources, skills, and knowledge. These networks can provide food, medical supplies, and security during crises.

• Promote Local Economies: Support local businesses, farmers, and artisans. Use local currencies or barter systems to reduce dependence on centralized financial systems.

• Develop Off-Grid Infrastructure: Invest in renewable energy, water filtration, and food production to ensure self-sufficiency. Community gardens, solar panels, and rainwater harvesting are excellent starting points.

• Educate and Empower: Host workshops on financial literacy, digital privacy, and sustainable living. Knowledge is the most powerful tool against authoritarianism.

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5. The Bigger Picture: Rejecting the Illusion of Saviors

The deep corruption within governments, NGOs, and the billionaire class is evident. These entities will never act in the interest of ordinary people. Instead, they will exploit crises to expand surveillance, control, and wealth extraction. The idea of a political “savior” is a dangerous illusion. True freedom comes from individuals taking responsibility for their own lives and working together to build decentralized, resilient systems.

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Conclusion: A Call to Action

The path to a genuinely free humanity begins with individual action. By adopting Bitcoin, securing digital privacy, increasing geographical flexibility, and building resilient local communities, ordinary people can protect themselves against authoritarianism. Governments will not save us—they are the problem. It is up to us to create a better future, free from the control of corrupt elites.

• The tools for liberation already exist.

• The question is: will we use them?

For those interested, I share ideas and solutions in my book « THE GATEWAY TO FREEDOM » https://blisshodlenglish.substack.com/p/the-gateway-to-freedom

⚡ The time to act is now. Freedom is not given—it is taken. ⚡

If you enjoyed this article, consider supporting it with a Zap!

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My Substack ENGLISH = https://blisshodlenglish.substack.com/ My substack FRENCH = https://blisshodl.substack.com/

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Get my Book « THE GATEWAY TO FREEDOM » here 🙏 => https://coinos.io/blisshodl

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@ 57d1a264:69f1fee1

Has the architect Greg Chasen considered it when rebuilding the house just one year before the catastrophe? Apparently not! Another of his projects was featured on the Value of Architecture as properties with design integrity.

This is a super interesting subject. The historic character, livability, and modern disaster-resistance is a triangle where you often have to pick just one or two, which leads to some tough decisions that have major impacts on families and communities. Like one of the things he mentions is that the architect completely eliminated plants from the property. That's great for fire resistance, but not so great for other things if the entire town decides to go the same route (which he does bring up later in the video). I don't think there's any objectively right answer, but definitely lots of good (and important) discussion points to be had.

https://www.youtube.com/watch?v=cbl_1qfsFXk

originally posted at https://stacker.news/items/979653

@ b8851a06:9b120ba1

Brett Scott’s recent metaphor of Bitcoin as a wrestling gimmick, reliant on hype and dollar-dependence, reduces a groundbreaking monetary innovation to shallow theatrics. Let’s address his key missteps with hard facts.

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1. Bitcoin Isn’t an Asset in the System—It’s the System

Scott claims Bitcoin competes with stocks, bonds, and gold in a financial "wrestling ring." This misrepresents Bitcoin’s purpose: it’s not an investment vehicle but a decentralized monetary network. Unlike assets, Bitcoin enables permissionless global value transfer, censorship resistance, and self-sovereign wealth storage—capabilities fiat currencies cannot match.

Fact: Bitcoin processes over $8 billion in daily transactions, settling more value annually than PayPal and Venmo combined. It isn’t competing with assets but offering an alternative to the monetary system itself.

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2. Volatility Is Growth, Not Failure

Scott critiques Bitcoin’s price volatility as evidence of its unsuitability as "money." However, volatility is a natural stage in the adoption of transformative technology. Bitcoin is scaling from niche use to global recognition. Its growing liquidity and adoption already make it more stable than fiat in inflationary economies.

Fact: Bitcoin’s annualized volatility has decreased by 53% since 2013 and continues to stabilize as adoption rises. It’s the best-performing asset of the last decade, with an average annual ROI of 147%—far outpacing stocks, gold, and real estate. As of February 2024, Bitcoin's volatility was lower than roughly 900 stocks in the S and P 1500 and 190 stocks in the S and P 500. It continues to stabilize as adoption rises, making it an increasingly attractive store of value.

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3. Bitcoin’s Utility Extends Beyond Countertrade

Scott diminishes Bitcoin to a "countertrade token," reliant on its dollar price. This ignores Bitcoin’s primary functions:

• Medium of exchange: Used in remittances, cross-border payments, and for the unbanked in Africa today (e.g., Ghana, Nigeria, Kenya).
• Store of value: A hedge against inflation and failing fiat systems (e.g., Argentina, Lebanon, Turkey).
• Decentralized reserve asset: Held by over 1,500 public and private institutions, including Tesla, MicroStrategy, and nations like El Salvador.

Fact: Lightning Network adoption has grown 1,500% in capacity since 2021, enabling microtransactions and reducing fees—making Bitcoin increasingly viable for everyday use. As of December 2024, Sub-Saharan Africa accounts for 2.7% of global cryptocurrency transaction volume, with Nigeria ranking second worldwide in crypto adoption. This demonstrates Bitcoin's real-world utility beyond mere speculation.

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4. Bitcoin Isn’t Controlled by the Dollar

Scott suggests Bitcoin strengthens the dollar system rather than challenging it. In truth, Bitcoin exists outside the control of any nation-state. It offers people in authoritarian regimes and hyperinflationary economies a lifeline when their local currencies fail.

Fact: Over 70% of Bitcoin transactions occur outside the U.S., with adoption highest in countries like Nigeria, India, Venezuela, China, the USA and Ukraine—where the dollar isn’t dominant but government overreach and fiat collapse are. This global distribution shows Bitcoin's independence from dollar dominance.

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5. Hype vs. Adoption

Scott mocks Bitcoin’s evangelists but fails to acknowledge its real-world traction. Bitcoin adoption isn’t driven by hype but by trustless, verifiable technology solving real-world problems. People don’t buy Bitcoin for "kayfabe"; they buy it for what it does.

Fact: Bitcoin wallets reached 500 million globally in 2023. El Salvador’s Chivo wallet onboarded 4 million users (60% of the population) within a year—far from a gimmick in action. As of December 2024, El Salvador's Bitcoin portfolio has crossed $632 million in value, with an unrealized profit of $362 million, demonstrating tangible benefits beyond hype.

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6. The Dollar’s Coercive Monopoly vs. Bitcoin’s Freedom

Scott defends fiat money as more than "just numbers," backed by state power. He’s correct: fiat relies on coercion, legal mandates, and inflationary extraction. Bitcoin, by contrast, derives value from transparent scarcity (capped at 21 million coins) and decentralized consensus, not military enforcement or political whims.

Fact: Bitcoin’s inflation rate is just 1.8%—lower than gold or the U.S. dollar—and will approach 0% by 2140. No fiat currency can match this predictability. As of December 2024, Bitcoin processes an average of 441,944 transactions per day, showcasing its growing role as a global, permissionless monetary system free from centralized control.

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Conclusion: The Revolution Is Real

Scott’s "wrestling gimmick" analogy trivializes Bitcoin’s purpose and progress. Bitcoin isn’t just a speculative asset—it’s the first truly decentralized, apolitical form of money. Whether as a hedge against inflation, a tool for financial inclusion, or a global settlement network, Bitcoin is transforming how we think about money.

Dismiss it as a gimmick at your peril. The world doesn’t need another asset—it needs Bitcoin.

"If you don't believe me or don't get it, I don't have time to try to convince you, sorry." Once Satoshi said.

There is no second best.

@ 5d4b6c8d:8a1c1ee3

We have our conference finalists: - Indiana (4) @ New York (3) - Minnesota (6) @ OKC (1)

Pick one team to advance to the finals and one player to win Conference Finals MVP. One player from each matchup will be named MVP.

The scoring this round is 4 points + seed value for picking a winner and 4 points for picking an MVP. The maximum points this round are 14.

Current Scores | Stacker | Points | |----------|-------| | @Undisciplined | 35 | | @grayruby | 32 | | @gnilma | 28 | | @fishious | 21 | | @WeAreAllSatoshi | 20 | | @BlokchainB | 19 | | @Coinsreporter | 19 | | @Carresan | 18 | | @Car | 9 |

SGA was the leading scorer of round 2

https://stacker.news/items/983402

@ 7bdef7be:784a5805

We value sovereignty, privacy and security when accessing online content, using several tools to achieve this, like open protocols, open OSes, open software products, Tor and VPNs. ## The problem Talking about our social presence, we can manually build up our follower list (social graph), pick a Nostr client that is respectful of our preferences on what to show and how, but with the standard following mechanism, our main feed is public, **so everyone can actually snoop** what we are interested in, and what is supposable that we read daily. ## The solution Nostr has a simple solution for this necessity: encrypted lists. Lists are what they appear, a collection of people or interests (but they can also group much other stuff, see [NIP-51](https://github.com/nostr-protocol/nips/blob/master/51.md)). So we can create lists with contacts that we don't have in our main social graph; these lists can be used primarily to create **dedicated feeds**, but they could have other uses, for example, related to monitoring. The interesting thing about lists is that they can also be **encrypted**, so unlike the basic following list, which is always public, we can hide the lists' content from others. The implications are obvious: we can not only have a more organized way to browse content, but it is also **really private one**. One might wonder what use can really be made of private lists; here are some examples: - Browse “can't miss” content from users I consider a priority; - Supervise competitors or adversarial parts; - Monitor sensible topics (tags); - Following someone without being publicly associated with them, as this may be undesirable; The benefits in terms of privacy as usual are not only related to the casual, or programmatic, observer, but are also evident when we think of **how many bots scan our actions to profile us**. ## The current state Unfortunately, lists are not widely supported by Nostr clients, and encrypted support is a rarity. Often the excuse to not implement them is that they are harder to develop, since they require managing the encryption stuff ([NIP-44](https://github.com/nostr-protocol/nips/blob/master/51.md)). Nevertheless, developers have an easier option to start offering private lists: give the user the possibility to simply **mark them as local-only**, and never push them to the relays. Even if the user misses the sync feature, this is sufficient to create a private environment. To date, as far as I know, the best client with list management is Gossip, which permits to manage **both encrypted and local-only lists**. Beg your Nostr client to implement private lists!

@ 06b7819d:d1d8327c

The Peano axioms are a set of rules that define the natural numbers (like 0, 1, 2, 3, and so on) in a logical way. Here’s a simplified explanation: 1. There is a first number: There is a number called zero, and it is the starting point for all natural numbers. 2. Each number has a next number: Every number has a unique “successor,” or the number that comes after it (like 1 comes after 0, 2 comes after 1, etc.). 3. Zero is special: Zero is not the “next” number of any other number. This means the sequence of natural numbers doesn’t loop back to zero. 4. No two numbers are the same if they have different successors: If two numbers have the same “next” number, then they must actually be the same number. 5. Patterns hold for all numbers: If something is true for zero, and it stays true when moving from one number to the next, then it must be true for all numbers.

These principles lay the groundwork for understanding and working with the natural numbers systematically.

@ a4a6b584:1e05b95b

The Four-Layer Framework

Layer 1: Zoom Out

Start by looking at the big picture. What’s the subject about, and why does it matter? Focus on the overarching ideas and how they fit together. Think of this as the 30,000-foot view—it’s about understanding the "why" and "how" before diving into the "what."

Example: If you’re learning programming, start by understanding that it’s about giving logical instructions to computers to solve problems.

• Tip: Keep it simple. Summarize the subject in one or two sentences and avoid getting bogged down in specifics at this stage.

Once you have the big picture in mind, it’s time to start breaking it down.

---

Layer 2: Categorize and Connect

Now it’s time to break the subject into categories—like creating branches on a tree. This helps your brain organize information logically and see connections between ideas.

Example: Studying biology? Group concepts into categories like cells, genetics, and ecosystems.

• Tip: Use headings or labels to group similar ideas. Jot these down in a list or simple diagram to keep track.

With your categories in place, you’re ready to dive into the details that bring them to life.

---

Layer 3: Master the Details

Once you’ve mapped out the main categories, you’re ready to dive deeper. This is where you learn the nuts and bolts—like formulas, specific techniques, or key terminology. These details make the subject practical and actionable.

Example: In programming, this might mean learning the syntax for loops, conditionals, or functions in your chosen language.

• Tip: Focus on details that clarify the categories from Layer 2. Skip anything that doesn’t add to your understanding.

Now that you’ve mastered the essentials, you can expand your knowledge to include extra material.

---

Layer 4: Expand Your Horizons

Finally, move on to the extra material—less critical facts, trivia, or edge cases. While these aren’t essential to mastering the subject, they can be useful in specialized discussions or exams.

Example: Learn about rare programming quirks or historical trivia about a language’s development.

• Tip: Spend minimal time here unless it’s necessary for your goals. It’s okay to skim if you’re short on time.

---

Pro Tips for Better Learning

1. Use Active Recall and Spaced Repetition

Test yourself without looking at notes. Review what you’ve learned at increasing intervals—like after a day, a week, and a month. This strengthens memory by forcing your brain to actively retrieve information.

2. Map It Out

Create visual aids like diagrams or concept maps to clarify relationships between ideas. These are particularly helpful for organizing categories in Layer 2.

3. Teach What You Learn

Explain the subject to someone else as if they’re hearing it for the first time. Teaching exposes any gaps in your understanding and helps reinforce the material.

4. Engage with LLMs and Discuss Concepts

Take advantage of tools like ChatGPT or similar large language models to explore your topic in greater depth. Use these tools to:
- Ask specific questions to clarify confusing points.
- Engage in discussions to simulate real-world applications of the subject.
- Generate examples or analogies that deepen your understanding.

Tip: Use LLMs as a study partner, but don’t rely solely on them. Combine these insights with your own critical thinking to develop a well-rounded perspective.

---

Get Started

Ready to try the Four-Layer Method? Take 15 minutes today to map out the big picture of a topic you’re curious about—what’s it all about, and why does it matter? By building your understanding step by step, you’ll master the subject with less stress and more confidence.

@ fe32298e:20516265

Today I learned how to install NVapi to monitor my GPUs in Home Assistant.

NVApi is a lightweight API designed for monitoring NVIDIA GPU utilization and enabling automated power management. It provides real-time GPU metrics, supports integration with tools like Home Assistant, and offers flexible power management and PCIe link speed management based on workload and thermal conditions.

• GPU Utilization Monitoring: Utilization, memory usage, temperature, fan speed, and power consumption.
• Automated Power Limiting: Adjusts power limits dynamically based on temperature thresholds and total power caps, configurable per GPU or globally.
• Cross-GPU Coordination: Total power budget applies across multiple GPUs in the same system.
• PCIe Link Speed Management: Controls minimum and maximum PCIe link speeds with idle thresholds for power optimization.
• Home Assistant Integration: Uses the built-in RESTful platform and template sensors.

Getting the Data

sudo apt install golang-go git clone https://github.com/sammcj/NVApi.git cd NVapi go run main.go -port 9999 -rate 1 curl http://localhost:9999/gpu

Response for a single GPU: [ { "index": 0, "name": "NVIDIA GeForce RTX 4090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 16, "power_limit_watts": 450, "memory_total_gb": 23.99, "memory_used_gb": 0.46, "memory_free_gb": 23.52, "memory_usage_percent": 2, "temperature": 38, "processes": [], "pcie_link_state": "not managed" } ]

Response for multiple GPUs: [ { "index": 0, "name": "NVIDIA GeForce RTX 3090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 14, "power_limit_watts": 350, "memory_total_gb": 24, "memory_used_gb": 0.43, "memory_free_gb": 23.57, "memory_usage_percent": 2, "temperature": 36, "processes": [], "pcie_link_state": "not managed" }, { "index": 1, "name": "NVIDIA RTX A4000", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 10, "power_limit_watts": 140, "memory_total_gb": 15.99, "memory_used_gb": 0.56, "memory_free_gb": 15.43, "memory_usage_percent": 3, "temperature": 41, "processes": [], "pcie_link_state": "not managed" } ]

Start at Boot

Create /etc/systemd/system/nvapi.service:

``` [Unit] Description=Run NVapi After=network.target

[Service] Type=simple Environment="GOPATH=/home/ansible/go" WorkingDirectory=/home/ansible/NVapi ExecStart=/usr/bin/go run main.go -port 9999 -rate 1 Restart=always User=ansible

Environment="GPU_TEMP_CHECK_INTERVAL=5"

Environment="GPU_TOTAL_POWER_CAP=400"

Environment="GPU_0_LOW_TEMP=40"

Environment="GPU_0_MEDIUM_TEMP=70"

Environment="GPU_0_LOW_TEMP_LIMIT=135"

Environment="GPU_0_MEDIUM_TEMP_LIMIT=120"

Environment="GPU_0_HIGH_TEMP_LIMIT=100"

Environment="GPU_1_LOW_TEMP=45"

Environment="GPU_1_MEDIUM_TEMP=75"

Environment="GPU_1_LOW_TEMP_LIMIT=140"

Environment="GPU_1_MEDIUM_TEMP_LIMIT=125"

Environment="GPU_1_HIGH_TEMP_LIMIT=110"

[Install] WantedBy=multi-user.target ```

Home Assistant

Add to Home Assistant configuration.yaml and restart HA (completely).

For a single GPU, this works: ``` sensor: - platform: rest name: MYPC GPU Information resource: http://mypc:9999 method: GET headers: Content-Type: application/json value_template: "{{ value_json[0].index }}" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature scan_interval: 1 # seconds

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} GPU" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Memory" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Temperature" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'temperature') }}" unit_of_measurement: "°C" ```

For multiple GPUs: ``` rest: scan_interval: 1 resource: http://mypc:9999 sensor: - name: "MYPC GPU0 Information" value_template: "{{ value_json[0].index }}" json_attributes_path: "$.0" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature - name: "MYPC GPU1 Information" value_template: "{{ value_json[1].index }}" json_attributes_path: "$.1" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC GPU0 GPU" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC GPU0 Memory" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC GPU0 Power" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC GPU0 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC GPU0 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'temperature') }}" unit_of_measurement: "C"

• platform: template sensors: mypc_gpu_1_gpu: friendly_name: "MYPC GPU1 GPU" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_memory: friendly_name: "MYPC GPU1 Memory" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_power: friendly_name: "MYPC GPU1 Power" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_1_power_limit: friendly_name: "MYPC GPU1 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_1_temperature: friendly_name: "MYPC GPU1 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'temperature') }}" unit_of_measurement: "C"

```

Basic entity card: type: entities entities: - entity: sensor.mypc_gpu_0_gpu secondary_info: last-updated - entity: sensor.mypc_gpu_0_memory secondary_info: last-updated - entity: sensor.mypc_gpu_0_power secondary_info: last-updated - entity: sensor.mypc_gpu_0_power_limit secondary_info: last-updated - entity: sensor.mypc_gpu_0_temperature secondary_info: last-updated

Ansible Role

```

• name: install go become: true package: name: golang-go state: present

• name: git clone git: repo: "https://github.com/sammcj/NVApi.git" dest: "/home/ansible/NVapi" update: yes force: true

go run main.go -port 9999 -rate 1

• name: install systemd service become: true copy: src: nvapi.service dest: /etc/systemd/system/nvapi.service

• name: Reload systemd daemons, enable, and restart nvapi become: true systemd: name: nvapi daemon_reload: yes enabled: yes state: restarted ```

@ 6f6b50bb:a848e5a1

Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

• Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

• Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!

Tradotto da:\ https://willwhitney.com/computing-inside-ai.htmlhttps://willwhitney.com/computing-inside-ai.html

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Power as the Reduction of Possibilities: Niklas Luhmann’s Perspective

Niklas Luhmann, a leading figure in systems theory, offers a unique conceptualization of power that diverges from traditional notions of domination or coercion. Rather than viewing power as a forceful imposition of will, Luhmann frames it as a mechanism for reducing possibilities within a given social system. For Luhmann, power is less about direct coercion and more about structuring decision-making processes by limiting the range of available options.

In his systems-theoretical approach, Luhmann argues that power operates as a communication medium, enabling complex social systems to function by simplifying the overwhelming array of potential actions. In any decision-making context, there are countless possibilities, and not all can be pursued. Power serves as a tool to focus attention, filter alternatives, and channel behavior toward specific actions while excluding others. This reduction of options creates a manageable environment for coordinated action, which is essential for the stability of a system.

Importantly, this process does not inherently involve force or threats. Instead, power works through expectations, norms, and structures that guide behavior. For example, in an organizational setting, the hierarchy of authority determines which decisions are permissible, thereby shaping the actions of individuals without overt coercion. The employees’ actions are not forced; rather, they are conditioned by the organizational framework, which narrows their choices.

Luhmann’s idea redefines power as a productive force in social systems. By limiting possibilities, power reduces uncertainty, making collaboration and collective action possible. It ensures that systems can function efficiently despite their inherent complexity. This perspective shifts the emphasis from conflict to coordination, offering a more nuanced understanding of how power operates in modern societies.

In sum, Niklas Luhmann’s theory of power as the reduction of possibilities highlights its integrative role in enabling social systems to navigate complexity. It challenges conventional views of power as coercion, emphasizing its capacity to organize and stabilize interactions through the selective limitation of actions.

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By Louise Rafkin

Oct. 18, 2024

https://www.nytimes.com/2024/10/18/fashion/laura-baroni-paul-keating-wedding.html

In early 2022, Paul Thomas Keating and Laura Baroni each traveled to Costa Rica looking for something — but not necessarily for someone. The two kicked around the small beach town of Santa Teresa, on the western coast, for more than a month before laying eyes on each other.

When they did, there were sparks but few words. At a dinner with mutual friends, Ms. Baroni, who is from Italy, was immediately intrigued by the handsome, curly-haired American. Shared glances prompted Ms. Baroni to pivot from English, of which she knew just a few words, to Spanish, in which she was fluent. Mr. Keating spoke Spanish passably, so it was in that language that they shared stories about how their paths had crossed.

Ms. Baroni, 27, grew up in Liguria, Italy. After earning a bachelor’s degree in modern languages and cultures for business and tourism from the University of Genoa, she worked as a sales manager for a company that made biodegradable bags. But during the pandemic, she became hooked on surfing, and by the end of 2021, had bought a one-way ticket to Costa Rica and settled in Santa Teresa, which is known for its superb year-round waves.

At the time, Mr. Keating, 31, was a self-described surf bum. “I lived simply, or, you could also say, in poverty,” he said jokingly. In Santa Teresa, he shared a home with several roommates and swarms of mosquitoes; to thwart the insects, he slept inside a tent set up in his bedroom. A skunk bedded down in the kitchen sink. “It kept the rodents out, so we let it stay,” he said.

Mr. Keating spent his childhood in Oceanside, Calif., a small Southern California beach town. He played baseball for Vanguard University, earning a bachelor’s degree in business administration and a master’s in organizational psychology. He then pursued a career in modeling and acting. He appeared in a commercial for Mountain Dew and was cast in the reality dating show “FBoy Island” in 2021. He was booted off in the fourth week.

By late 2021, he was delivering refrigerators to college dorm rooms and dreaming of a different life. “I wanted to surf with cool people, have a family and find meaningful work,” he said. He packed his 1985 Nissan truck with donated baseball equipment and set off for Costa Rica. During the five-week road trip, he gave the baseball gear to children in Nicaragua.

After their first meeting, Mr. Keating suggested that he and Ms. Baroni attend a local festival where, in an effort to impress Ms. Baroni, he jumped into a rodeo arena with angry bulls. To his surprise, Ms. Baroni followed. Both escaped unscathed, and with a surge of adrenaline, shared a first kiss.

Soon after, Ms. Baroni texted a friend in Italy: “I’ve met my future husband and the father of my children.”

Mr. Keating was similarly smitten. The couple began surfing together, and Ms. Baroni’s fearlessness in the face of huge waves fueled Mr. Keating’s ardor and admiration.

Several months later, after moving in together, Ms. Baroni floated the first “I love you.” Mr. Keating began to sob. “After years of wandering and not finding, here was everything I wanted,” he said.

In 2023, the couple traveled together to more than a dozen countries and visited each other’s families. They also developed careers. Ms. Baroni now works as an independent model, photographer and content creator. Mr. Keating, who still occasionally models and acts in commercials, works for Primal, a social media company. “When you have the right person at your side, it’s easy to find yourself,” Ms. Baroni said.

In June 2023, the couple, still living a nomadic life, were invited by one of Mr. Keating’s work associates to cruise the Greek islands on his boat. On the island of Paxos, atop a rocky hillside, Mr. Keating dropped to a knee and, with friends and colleagues watching, proposed with a snake-shaped ring with tiny diamond eyes that reminded him of the jungles of Costa Rica. Ms. Baroni closed her eyes and fell silent. For several minutes, Mr. Keating wondered if he was experiencing the most embarrassing moment of his life.

“Just two nights before, I had dreamed we were marrying,” Ms. Baroni explained. When her eyes opened she smiled and said yes. The two clasped hands and leaped into the sea.

On Oct. 10, at San Clemente State Beach park in San Clemente, Calif., the couple were married by nostr:nprofile1qyx8wumn8ghj7cnjvghxjmcpz4mhxue69uhk2er9dchxummnw3ezumrpdejqqgqufvg53h6lmccvqp2sl55aafykewhq47gw7kwp93722h7gdq6xx5mdd75x , a friend of Mr. Keating’s who was ordained by American Marriage Ministries for the event.

Ms. Baroni said her vows in Italian. “I spoke love with my heart, I know Paul understood,” she said. After the ceremony, the 100 guests walked a short dirt path to the beach, where the groom and his best man jumped into the Pacific for a sunset surf session while still wearing their wedding attire.

“We are going to have the most interesting lives,” Ms. Baroni said.

pv

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We asked members of the design community to choose an artifact that embodies craft—something that speaks to their understanding of what it means to make with intention. Here’s what they shared.

A vintage puzzle box, a perfectly tuned guitar, an AI-powered poetry camera. A daiquiri mixed with precision. A spreadsheet that still haunts muscle memory. Each artifact tells a story: not just about the thing itself, but about the choices of the creator behind it. What to refine, what to leave raw. When to push forward, when to let go. Whether built to last for generations or designed to delight in a fleeting moment, the common thread is that great craft doesn’t happen by accident. It’s made.

On the application of craft

Even the most experienced makers can benefit from building structure and intention into their practice. From sharpening your storytelling to designing quality products, these pieces offer practical ways to uplevel your craft.

Read more at https://www.figma.com/blog/craft-artifacts/

originally posted at https://stacker.news/items/979644

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The History of Bananas as an Exportable Fruit and the Rise of Banana Republics

Bananas became a significant export in the late 19th century, fueled by advancements in transportation and refrigeration that allowed the fruit to travel long distances without spoilage. Originally native to Southeast Asia, bananas were introduced to the Americas by European colonists. By the late 1800s, companies like the United Fruit Company (later Chiquita) and Standard Fruit Company (now Dole) began cultivating bananas on a large scale in Central America and the Caribbean.

These corporations capitalized on the fruit’s appeal—bananas were cheap, nutritious, and easy to transport. The fruit quickly became a staple in Western markets, especially in the United States. However, the rapid expansion of banana exports came at a significant political and social cost to the countries where the fruit was grown.

To maintain control over banana production and maximize profits, these companies required vast amounts of arable land, labor, and favorable trade conditions. This often led them to form close relationships with local governments, many of which were authoritarian and corrupt. The companies influenced policies to secure land concessions, suppress labor rights, and maintain low taxes.

The term “banana republic” was coined by writer O. Henry in 1904 to describe countries—particularly in Central America—that became politically unstable due to their economic dependence on a single export crop, often controlled by foreign corporations.

The U.S. government frequently supported these regimes as part of its broader strategy during the Cold War to counter communist influence in the region. Washington feared that labor movements and demands for land reform, often supported by the peasantry and indigenous groups, could lead to the rise of socialist or communist governments. Consequently, the U.S. backed coups, such as the 1954 overthrow of Guatemala’s democratically elected President Jacobo Árbenz, who had threatened United Fruit’s interests by redistributing unused land.

These interventions created a legacy of exploitation, environmental degradation, and political instability in many banana-exporting countries. While bananas remain a global dietary staple, their history underscores the complex interplay of economics, politics, and imperialism.

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I started a long series of articles about how to model different types of knowledge graphs in the relational model, which makes on-device memory models for AI agents possible.

We model-directed graphs

Also, graphs of entities

We even model hypergraphs

Last time, we discussed why classical triple and simple knowledge graphs are insufficient for AI agents and complex memory, especially in the domain of time-aware or multi-model knowledge.

So why do we need metagraphs, and what kind of challenge could they help us to solve?

• complex and nested event and temporal context and temporal relations as edges
• multi-mode and multilingual knowledge
• human-like memory for AI agents that has multiple contexts and relations between knowledge in neuron-like networks

MetaGraphs

A meta graph is a concept that extends the idea of a graph by allowing edges to become graphs. Meta Edges connect a set of nodes, which could also be subgraphs. So, at some level, node and edge are pretty similar in properties but act in different roles in a different context.
Also, in some cases, edges could be referenced as nodes.
This approach enables the representation of more complex relationships and hierarchies than a traditional graph structure allows. Let’s break down each term to understand better metagraphs and how they differ from hypergraphs and graphs.

Graph Basics

• A standard graph has a set of nodes (or vertices) and edges (connections between nodes).
• Edges are generally simple and typically represent a binary relationship between two nodes.
• For instance, an edge in a social network graph might indicate a “friend” relationship between two people (nodes).

Hypergraph

• A hypergraph extends the concept of an edge by allowing it to connect any number of nodes, not just two.
• Each connection, called a hyperedge, can link multiple nodes.
• This feature allows hypergraphs to model more complex relationships involving multiple entities simultaneously. For example, a hyperedge in a hypergraph could represent a project team, connecting all team members in a single relation.
• Despite its flexibility, a hypergraph doesn’t capture hierarchical or nested structures; it only generalizes the number of connections in an edge.

Metagraph

• A metagraph allows the edges to be graphs themselves. This means each edge can contain its own nodes and edges, creating nested, hierarchical structures.
• In a meta graph, an edge could represent a relationship defined by a graph. For instance, a meta graph could represent a network of organizations where each organization’s structure (departments and connections) is represented by its own internal graph and treated as an edge in the larger meta graph.
• This recursive structure allows metagraphs to model complex data with multiple layers of abstraction. They can capture multi-node relationships (as in hypergraphs) and detailed, structured information about each relationship.

Named Graphs and Graph of Graphs

As you can notice, the structure of a metagraph is quite complex and could be complex to model in relational and classical RDF setups. It could create a challenge of luck of tools and software solutions for your problem.
If you need to model nested graphs, you could use a much simpler model of Named graphs, which could take you quite far.

The concept of the named graph came from the RDF community, which needed to group some sets of triples. In this way, you form subgraphs inside an existing graph. You could refer to the subgraph as a regular node. This setup simplifies complex graphs, introduces hierarchies, and even adds features and properties of hypergraphs while keeping a directed nature.

It looks complex, but it is not so hard to model it with a slight modification of a directed graph.
So, the node could host graphs inside. Let's reflect this fact with a location for a node. If a node belongs to a main graph, we could set the location to null or introduce a main node . it is up to you

Nodes could have edges to nodes in different subgraphs. This structure allows any kind of nesting graphs. Edges stay location-free

Meta Graphs in Relational Model

Let’s try to make several attempts to model different meta-graphs with some constraints.

Directed Metagraph where edges are not used as nodes and could not contain subgraphs

In this case, the edge always points to two sets of nodes. This introduces an overhead of creating a node set for a single node. In this model, we can model empty node sets that could require application-level constraints to prevent such cases.

Directed Metagraph where edges are not used as nodes and could contain subgraphs

Adding a node set that could model a subgraph located in an edge is easy but could be separate from in-vertex or out-vert.
I also do not see a direct need to include subgraphs to a node, as we could just use a node set interchangeably, but it still could be a case.

Directed Metagraph where edges are used as nodes and could contain subgraphs

As you can notice, we operate all the time with node sets. We could simply allow the extension node set to elements set that include node and edge IDs, but in this case, we need to use uuid or any other strategy to differentiate node IDs from edge IDs. In this case, we have a collision of ephemeral edges or ephemeral nodes when we want to change the role and purpose of the node as an edge or vice versa.

A full-scale metagraph model is way too complex for a relational database.
So we need a better model.

Now, we have more flexibility but loose structural constraints. We cannot show that the element should have one vertex, one vertex, or both. This type of constraint has been moved to the application level. Also, the crucial question is about query and retrieval needs.
Any meta-graph model should be more focused on domain and needs and should be used in raw form. We did it for a pure theoretical purpose.

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Shanghai: Bus Stops Here

A new crowd-sourced transit platform allows riders to propose, vote on, and activate new bus lines in as little as three days.

From early-morning school drop-offs to seniors booking rides to the hospital, from suburban commuters seeking a faster link to the metro to families visiting ancestral graves, Shanghai is rolling out a new kind of public bus — one that’s designed by commuters, and launched only when enough riders request it.

Branded “DZ” for dingzhi, or “customized,” the system invites residents to submit proposed routes through a city-run platform. Others with similar travel needs can opt in or vote, and if demand meets the threshold — typically 15 to 20 passengers per trip — the route goes live.

More than 220 DZ routes have already launched across all 16 city districts. Through an online platform opened May 8, users enter start and end points, preferred times, and trip frequency. If approved, routes can begin running in as little as three days.

Continue reading at https://www.sixthtone.com/news/1017072

originally posted at https://stacker.news/items/979637

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Benjamin Franklin and His Fondness for Madeira Wine

Benjamin Franklin, one of America’s most celebrated founding fathers, was not only a statesman, scientist, and writer but also a man of refined taste. Among his many indulgences, Franklin was particularly fond of Madeira wine, a fortified wine from the Portuguese Madeira Islands. His love for this drink was well-documented and reflects both his personal preferences and the broader cultural trends of 18th-century America.

The Allure of Madeira Wine

Madeira wine was highly prized in the 18th century due to its unique production process and exceptional durability. Its rich, fortified nature made it well-suited for long sea voyages, as it could withstand temperature fluctuations and aging in transit. This durability made Madeira a popular choice in the American colonies, where European wines often spoiled before arrival.

Franklin, who was known for his appreciation of fine things, embraced Madeira as a beverage of choice. Its complex flavors and storied reputation resonated with his intellectual and social pursuits. The wine was often served at dinners and social gatherings, where Franklin and his contemporaries debated ideas and shaped the future of the nation.

Franklin’s Personal Connection to Madeira

In Franklin’s writings and correspondence, Madeira is mentioned on several occasions, reflecting its prominence in his life. He referred to the wine not only as a personal pleasure but also as a symbol of hospitality and refinement. As a diplomat in France and England, Franklin often carried Madeira to share with his hosts, using it as a means of forging connections and showcasing the tastes of the American colonies.

One notable instance of Franklin’s affinity for Madeira occurred during his time in Philadelphia. He reportedly had cases of the wine shipped directly to his home, ensuring he would never be without his favorite drink. Madeira also featured prominently in many toasts and celebrations, becoming a hallmark of Franklin’s gatherings.

The Role of Madeira in Colonial America

Franklin’s fondness for Madeira reflects its broader significance in colonial America. The wine was not only a favorite of the elite but also a symbol of resistance to British taxation. When the British imposed heavy duties on imported goods, including wine, Madeira became a patriotic choice for many colonists. Its direct trade routes with the Madeira Islands circumvented British intermediaries, allowing Americans to assert their economic independence.

A Legacy of Taste

Franklin’s appreciation for Madeira wine endures as a charming detail of his multifaceted life. It offers a glimpse into the personal habits of one of America’s most influential figures and highlights the cultural exchanges that shaped colonial society. Today, Franklin’s love of Madeira serves as a reminder of the historical connections between wine, politics, and personal expression in the 18th century.

In honoring Franklin’s legacy, one might raise a glass of Madeira to toast not only his contributions to American independence but also his enduring influence on the art of living well.

@ f85b9c2c:d190bcff

Am I the only one who tires of this pen’s endless fight, Scribbling words that dance in the dimmest light? The ink flows free, but my mind’s in a plight, I still don’t get it, this craft’s strange height. My thoughts once soared, a creative kite, Now they stumble, lost in the night. The page stares back, so blank, so white, I still don’t get it, where’s my insight? I chase the muse with all my might, But she’s a ghost, just out of sight. My fingers cramp, my soul takes flight, I still don’t get it, this endless write. The stories beg to be shaped just right, Yet boredom creeps, a thief in flight. I dream of tales that spark delight, I still don’t get it, this weary blight. Friends say, “Your words, they shine so bright,” But I feel trapped in this daily rite. The passion fades, no end in sight, I still don’t get it, this draining fight. A poem, a prose, I try to ignite, Each line a chore, a forced invite. The joy’s gone cold, no warmth in sight, I still don’t get it, this fading light. Am I alone, or do others unite, In feeling this pull, this tired dislike? The keyboard clacks, the thoughts take flight, I still don’t get it, this writer’s spite. Perhaps it’s me, my heart’s too tight, Or maybe writing’s a cruel delight. I’ll push on through, with grit and bite, I still don’t get it, but I’ll rewrite. So here I sit, in day or night, Pouring my soul, though it feels trite. Am I the only one? I seek the sight, I still don’t get it—yet still, I write.

@ 06b7819d:d1d8327c

The Weaponization of Technology: A Prelude to Adoption

Throughout history, new technologies have often been weaponized before becoming widely adopted for civilian use. This pattern, deeply intertwined with human priorities for power, survival, and dominance, sheds light on how societies interact with technological innovation.

The Weaponization Imperative

When a groundbreaking technology emerges, its potential to confer an advantage—military, economic, or ideological—tends to attract attention from those in power. Governments and militaries, seeking to outpace rivals, often invest heavily in adapting new tools for conflict or defense. Weaponization provides a context where innovation thrives under high-stakes conditions. Technologies like radar, nuclear energy, and the internet, initially conceived or expanded within the framework of military priorities, exemplify this trend.

Historical Examples

1.  Gunpowder: Invented in 9th-century China, gunpowder was first used for military purposes before transitioning into civilian life, influencing mining, construction, and entertainment through fireworks.

1. The Internet: Initially developed as ARPANET during the Cold War to ensure communication in the event of a nuclear attack, the internet’s infrastructure later supported the global digital revolution, reshaping commerce, education, and social interaction.

2. Drones: Unmanned aerial vehicles began as tools of surveillance and warfare but have since been adopted for everything from package delivery to agricultural monitoring.

Weaponization often spurs rapid technological development. War environments demand urgency and innovation, fast-tracking research and turning prototypes into functional tools. This phase of militarization ensures that the technology is robust, scalable, and often cost-effective, setting the stage for broader adoption.

Adoption and Civilian Integration

Once a technology’s military dominance is established, its applications often spill into civilian life. These transitions occur when:

•   The technology becomes affordable and accessible.
•   Governments or corporations recognize its commercial potential.
•   Public awareness and trust grow, mitigating fears tied to its military origins.

For example, GPS was first a military navigation system but is now indispensable for personal devices, logistics, and autonomous vehicles.

Cultural Implications

The process of weaponization shapes public perception of technology. Media narratives, often dominated by stories of power and conflict, influence how societies view emerging tools. When technologies are initially seen through the lens of violence or control, their subsequent integration into daily life can carry residual concerns, from privacy to ethical implications.

Conclusion

The weaponization of technology is not an aberration but a recurring feature of technological progress. By understanding this pattern, societies can critically assess how technologies evolve from tools of conflict to instruments of everyday life, ensuring that ethical considerations and equitable access are not lost in the rush to innovate. As Marshall McLuhan might suggest, the medium through which a technology is introduced deeply influences the message it ultimately conveys to the world.

@ f4db5270:3c74e0d0

Hi Art lover! 🎨🫂💜

You may not know it yet but all of the following paintings are available in #Bitcoin on my website: <https://isolabellart.carrd.co/>

For info and prices write to me in DM and we will find a good deal! 🤝

THE QUIET ROOM 50x40cm, Oil on board - Completed May 8, 2025

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OLTRE LA NEBBIA 50x40cm, Oil on board - Completed April 18, 2025

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TO THE LAST LIGHT 50x40cm, Oil on board - Completed April 5, 2025

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BLINDING SUNSET 40x40cm, Oil on board - Completed March 18, 2025

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ECHI DEL TEMPO PERDUTO 40x40cm, Oil on board - Completed March 09, 2025

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EVANESCENZE 40x40cm, Oil on board - Completed February 11, 2025

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OLTRE LA STACCIONATA 50x40cm, Oil on board - Completed February 8, 2025

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LONELY WINDMILL 50x40cm, Oil on board - Completed January 30, 2025

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ON THE ROAD AGAIN 40x50cm, Oil on canvas - Completed January 23, 2025

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SUN OF JANUARY 40x50cm, Oil on canvas - Completed January 14, 2025

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THE BLUE HOUR 40x50cm, Oil on canvas - Completed December 14, 2024

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WHERE WINTER WHISPERS 50x40cm, Oil on canvas - Completed November 07, 2024

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L'ATTESA DI UN MOMENTO 40x40cm, Oil on canvas - Completed October 29, 2024

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LE COSE CHE PENSANO 40x50cm, Oil on paper - Completed October 05, 2024

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TWILIGHT'S RIVER 50x40cm, Oil on canvas - Completed September 17, 2024

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GOLD ON THE OCEAN 40x50cm, Oil on paper - Completed September 08, 2024

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SUSSURRI DI CIELO E MARE 50x40cm, Oil on paper - Completed September 05, 2024

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THE END OF A WONDERFUL WEEKEND 40x30cm, Oil on board - Completed August 12, 2024

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FIAMME NEL CIELO 60x35cm, Oil on board - Completed July 28, 2024

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INIZIO D'ESTATE 50x40cm, Oil on cradled wood panel Completed July 13, 2024

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OMBRE DELLA SERA 50x40cm, Oil on cradled wood panel - Completed June 16, 2024

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NEW ZEALAND SUNSET 80x60cm, Oil on canvas board - Completed May 28, 2024

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VENICE 50x40cm, Oil on board - Completed May 4, 2024

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CORNWALL 50x40cm, Oil on board - Completed April 26, 2024

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DOCKS ON SUNSET 40x19,5cm, Oil on board Completed March 14, 2024

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SOLITUDE 30x30cm, Oil on cradled wood panel - Completed March 2, 2024

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LULLING WAVES 40x30cm, Oil on cradled wood panel - Completed January 14, 2024

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MULATTIERA IN AUTUNNO 30x30cm, Oil on cradled wood panel - Completed November 23, 2023

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TRAMONTO A KOS 40x40cm, oil on board canvas - Completed November 7, 2023

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HIDDEN SMILE 40x40cm, oil on board - Completed September 28, 2023

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INIZIO D'AUTUNNO 40x40cm, oil on canvas - Completed September 23, 2023

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BOE NEL LAGO 30x30cm, oil on canvas board - Completed August 15, 2023

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BARCHE A RIPOSO 40x40cm, oil on canvas board - Completed July 25, 2023

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IL RISVEGLIO 30x40cm, oil on canvas board - Completed July 18, 2023

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LA QUIETE PRIMA DELLA TEMPESTA 30x40cm, oil on canvas board - Completed March 30, 2023

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LAMPIONE SUL LAGO 30x30cm, oil on canvas board - Completed March 05, 2023

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DUE NELLA NEVE 60x25cm, oil on board - Completed February 4, 2023

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UNA CAREZZA 30x30cm, oil on canvas board - Completed January 17, 2023

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REBEL WAVES 44x32cm, oil on canvas board

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THE SCREAMING WAVE 40x30cm, oil on canvas board

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"LA DONZELLETTA VIEN DALLA CAMPAGNA..." 30x40cm, oil on canvas board

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LIGHTHOUSE ON WHITE CLIFF 30x40cm, oil on canvas board

@ f85b9c2c:d190bcff

Cryptocurrency has been a hot topic in the world of finance and technology for the past few years. With the rise of Bitcoin and other digital currencies, many have speculated that crypto could be the future of money. But is this really the case? In this article, we’ll take a closer look at the concept of cryptocurrency and whether it has the potential to replace traditional forms of currency.

What is Cryptocurrency? First, let’s define what cryptocurrency actually is. Essentially, cryptocurrency is a digital or virtual form of currency that uses blockchain technology for secure and decentralized transactions. Unlike traditional currencies, which are controlled by central authorities such as banks and governments, cryptocurrency operates independently and is not subject to the same regulations or central authorities. Bitcoin, the first and most well-known cryptocurrency, was created in 2009 by an unknown individual or group using the pseudonym Satoshi Nakamoto. Since then, thousands of other cryptocurrencies have emerged, each with their own unique features and values.

The Advantages of Cryptocurrency 1.One of the main advantage of cryptocurrency is its decentralized nature. This means that it is not controlled by any central authority, making it immune to inflation and government interference. Transactions are also fast and secure, thanks to blockchain technology.

2.Another advantage of cryptocurrency is its potential for investment. Many people have made significant profits by investing in cryptocurrencies.However, it’s important to note that cryptocurrency carries a high level of risk.

The Challenges of Cryptocurrency While there are certainly benefits to using cryptocurrency, there are also several challenges that must be addressed before it can become the future of money. 1. One major issue is the lack of regulation. As mentioned earlier, cryptocurrency is not subject to the same regulations as traditional currencies, which can make it vulnerable to fraud and illegal activities. This has led to some governments imposing restrictions on the use of cryptocurrency, hindering its adoption on a global scale.

1. Another challenge is the complexity of cryptocurrency. For the average person, understanding how it works and how to use it can be challenging. This can make it less accessible and limit its potential for widespread use.

Is Crypto Really the Future of Money? So, back to our initial question: is crypto really the future of money? While it certainly has its advantages, there are still many obstacles that need to be overcome before that can happen. Some experts believe that cryptocurrency has the potential to transform the financial industry, while others argue that it will never fully replace traditional forms of currency. The truth is, it’s still too early to say for certain what the future holds for cryptocurrency. One thing is for sure, though — cryptocurrency has already made a significant impact on the financial world and it’s here to stay. Whether it will become the primary form of currency in the future remains to be seen, but it’s clear that it has disrupted the traditional financial system and sparked important discussions about the future of money.

In Conclusion Cryptocurrency has captured the attention of the world with its promise of a decentralized and secure currency. While it does have its advantages, there are still many challenges that need to be addressed before it can truly become the future of money. Only time will tell if cryptocurrency will live up to its potential and become a mainstream form of currency. In the meantime, it’s certainly worth keeping an eye on as it continues to evolve and shape the financial landscape.

@ 866e0139:6a9334e5

Autor: Michael Meyen. Dieser Beitrag wurde mit dem Pareto-Client geschrieben. Sie finden alle Texte der Friedenstaube und weitere Texte zum Thema Frieden hier. Die neuesten Pareto-Artikel finden Sie in unserem Telegram-Kanal.

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Die neuesten Artikel der Friedenstaube gibt es jetzt auch im eigenen Friedenstaube-Telegram-Kanal.

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„Warum der Weltfrieden von Deutschland abhängt“ steht auf dem Cover. Sicher: Ein Verlag will verkaufen. Superlative machen sich da immer gut. Der Weltfrieden und Deutschland. „Wie das“, wird mancher fragen, über den Atlantik schauen, nach Kiew oder gar nach Moskau und nach Peking, und die 24 Euro ausgeben. Ich kann nur sagen: Das ist gut investiert, wenn man verstehen will, was uns die Nachrichtensprecher und ihre Kritiker im Moment alles um die Ohren hauen. Ich durfte die Texte von Hauke Ritz schon lesen und ein Vorwort schreiben, in dem es nicht nur um Krieg und Frieden geht, sondern auch um die Frage, warum sich manche, die einst „links“ zu stehen glaubten, inzwischen mit einigen Konservativen besser vertragen als mit den alten Genossen – nicht nur bei der Gretchenfrage auf dem Cover. Nun aber zu meinem Vorwort.    

1. Der Leser

Hauke Ritz hat meinen Blick auf die Welt verändert. In diesem Satz stecken zwei Menschen. Ich fange mit dem Leser an, weil jeder Text auf einen Erfahrungsberg trifft, gewachsen durch all das, was Herkunft, soziale Position und Energievorrat ermöglichen. Ob ein Autor dort auf Resonanz stößt, kann er nicht beeinflussen. Also zunächst etwas zu mir. Ich bin auf der Insel Rügen aufgewachsen – in einer kommunistischen Familie und mit Karl Marx. Das Sein bestimmt das Bewusstsein. In der Schule haben wir Kinder uns über ein anderes Marx-Zitat amüsiert, das in einem der Räume groß an der Wand stand. „Die Philosophen haben die Welt nur verschieden interpretiert, es kömmt drauf an, sie zu verändern.“ Kömmt. Dieser Marx. Was der sich traut.

Das Schulhaus ist nach 1990 schnell abgerissen worden. Bauland mit Meerblick, fünf Minuten bis zum Strand. Marx stand nun zwar kaum noch in der Zeitung, Eltern, Freunde und Bekannte waren sich aber trotzdem sicher, dass er Recht hat. Das Sein bestimmt das Bewusstsein. Hier die Ostdeutschen, auf Jahre gebunden im Kampf um Arbeitsplatz und Qualifikationsnachweise, Rente und Grundstück, und dort Glücksritter aus dem Westen, die sich das Dorf kaufen und nach ihrem Bilde formen. Das Kapital live in Aktion gewissermaßen.

Ich selbst bin damals eher durch Zufall an der Universität gelandet und habe dort eine Spielart der Medienforschung kennengelernt, die in den USA erfunden worden war, um den Zweiten Weltkrieg nicht nur auf dem Schlachtfeld zu gewinnen, sondern auch in den Köpfen. Diese akademische Disziplin konnte und wollte nach ihrer Ankunft in der alten Bundesrepublik nichts mit Marx am Hut haben. Zum einen war da dieser neue Freund auf der anderen Atlantikseite, moralisch sauber und damit ein Garant gegen den Vorwurf, mitgemacht zu haben und vielleicht sogar Goebbels und sein Postulat von den Medien als Führungsmittel immer noch in sich zu tragen. Je lauter dieser Vorwurf wurde, desto stärker zog es deutsche Propagandaforscher, die sich zur Tarnung Kommunikations- oder Publizistikwissenschaftler nannten, in die USA.

Zum anderen verbannte der Radikalenerlass jeden Hauch von Marxismus aus dem universitären Leben. Selbst Postmarxisten wie Adorno und Horkheimer mit ihrer Frankfurter Schule, Karl Mannheim oder Pierre Bourdieu, auf die ich bei der Suche nach einer neuen intellektuellen Heimat fast zwangsläufig gestoßen bin, spielten in den Lehrveranstaltungen kaum eine Rolle und damit auch nicht in Dissertationen, Habilitationen, Fachzeitschriften. Peer Review wird schnell zur Farce, wenn jeder Gutachter weiß, dass bestimmte Texte nur von mir und meinen Schülern zitiert werden. Ich habe dann versucht, die Kollegen mit Foucault zu überraschen, aber auch das hat nicht lange funktioniert.

Zu Hauke Ritz ist es von da immer noch weit. Ich habe eine Lungenembolie gebraucht (2013), zwei Auftritte bei KenFM (2018) und die Attacken, die auf diese beiden Interviews zielten sowie auf meinen Blog Medienrealität, gestartet 2017 und zeitgleich mit großen Abendveranstaltungen aus der virtuellen Welt in die Uni-Wirklichkeit geholt, um bereit zu sein für diesen Denker. Corona nicht zu vergessen. Ich erinnere mich noch genau an diesen Abend. Narrative Nummer 16 im August 2020. Hauke Ritz zu Gast bei Robert Cibis, Filmemacher und Kopf von Ovalmedia. Da saß jemand, der mühelos durch die Geschichte spazierte und es dabei schaffte, geistige und materielle Welt zusammenzubringen. Meine Götter Marx, Bourdieu und Foucault, wenn man so will, angereichert mit mehr als einem Schuss Religionswissen, um die jemand wie ich, als Atheist erzogen und immer noch aufgeregt, wenn er vor einer Kirche steht, eher einen Bogen macht. Dazu all das, was ich in tapsigen Schritten auf dem Gebiet der historischen Forschung zu erkunden versucht hatte – nur in weit längeren Zeiträumen und mit der Vogelperspektive, die jede gute Analyse braucht. Und ich kannte diesen Mann nicht. Ein Armutszeugnis nach mehr als einem Vierteljahrhundert in Bewusstseinsindustrie und Ideologieproduktion.

2. Der Autor

Und damit endlich zu diesem Autor, der meinen Blick auf die Welt verändert hat. Hauke Ritz, Jahrgang 1975, ist ein Kind der alten deutschen Universität. Er hat an der FU Berlin studiert, als man dort noch Professoren treffen konnte, denen Eigenständigkeit wichtiger war als Leistungspunkte, Deadlines und politische Korrektheit. Seine Dissertation wurzelt in diesem ganz anderen akademischen Milieu. Ein dickes Buch, in dem es um Geschichtsphilosophie geht und um die Frage, welchen Reim sich die Deutschen vom Ersten Weltkrieg bis zum Fall der Berliner Mauer auf den Siegeszug von Wissenschaft und Technik gemacht haben. Das klingt sehr akademisch, wird aber schnell politisch, wenn man die Aufsätze liest, die Hauke Ritz ab den späten Nullerjahren auf diesem Fundament aufgebaut hat und die hier nun in einer Art Best-of in die Öffentlichkeit zurückgeholt werden aus dem Halbdunkel von Publikationsorten, deren Reputation inzwischen zum Teil gezielt zerstört worden ist, und die so hoffentlich ein großes und neues Publikum erreichen. In den Texten, die auf dieses Vorwort folgen, geht es um den tiefen Staat und den neuen kalten Krieg, um Geopolitik und Informationskriege und dabei immer wieder auch um die geistige Krise der westlichen Welt sowie um den fehlenden Realitätssinn deutscher Außenpolitik. 

Bevor ich darauf zurückkomme, muss ich die Doppelbiografie abrunden, mit der ich eingestiegen bin. Im Februar 2022, wir erinnern uns auch mit Hilfe des Interviews, das Paul Schreyer mit ihm führte, war Hauke Ritz gerade in Moskau, als Universitätslehrer auf Zeit mit einem DAAD-Stipendium. Im November 2024, als ich diese Zeilen schreibe, ist er wieder einmal in China, mit familiären Verbindungen. Das heißt auch: Hauke Ritz hat mehr gesehen, als einem in den Kongresshotels der US-dominierten Forschergemeinschaften je geboten werden kann. Und er muss weder um Zitationen buhlen noch um irgendwelche Fördertöpfe und damit auch nicht um das Wohlwollen von Kollegen.

Ein Lehrstuhl oder eine Dozentenstelle, hat er mir im Frühsommer 2021 auf Usedom erzählt, wo wir uns das erste Mal gesehen haben, so eine ganz normale akademische Karriere sei für ihn nicht in Frage gekommen. Der Publikationsdruck, die Denkschablonen. Lieber ökonomisch unsicher, aber dafür geistig frei. Ich habe mir diesen Satz gemerkt, weil er einen Beamten wie mich zwingt, seinen Lebensentwurf auf den Prüfstand zu stellen. Bin ich beim Lesen, Forschen, Schreiben so unabhängig, wie ich mir das stets einzureden versuche? Wo sind die Grenzen, die eine Universität und all die Zwänge setzen, die mit dem Kampf um Reputation verbunden sind? Und was ist mit dem Lockmittel Pension, das jeder verspielt, der das Schiff vor der Zeit verlassen will? 

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Hauke Ritz, das zeigen die zehn Aufsätze, die in diesem Buch versammelt sind, hat alles richtig gemacht. Hier präsentiert sich ein Autor, der „von links“ aufgebrochen ist und sich immer noch so sieht (so beschreibt er das dort, wo es um die aktuelle Theorieschwäche des einst gerade hier so dominanten Lagers geht), aber trotzdem keine Angst hat, für ein Wertesystem zu werben, das eher konservativ wirkt. Herkunft und Familie zum Beispiel. Verankerung und Zugehörigkeit, sowohl geografisch als auch intellektuell. Mehr noch: Wenn ich Hauke Ritz richtig verstanden habe, dann braucht es ein Amalgam aus den Restbeständen der »alten« Linken und dem christlich geprägten Teil des konservativen Lagers, um eine Entwicklung aufzuhalten und vielleicht sogar umzukehren, die in seinen Texten das Etikett »Postmoderne« trägt. Grenzen sprengen, Identitäten schleifen, Traditionen vergessen. Umwertung aller Werte. Transgender und Trans- oder sogar Posthumanismus. Wer all das nicht mag, findet in diesem Buch ein Reiseziel. Gerechtigkeit und Utopie, Wahrheitssuche, der Glaube an die Schöpferkraft des Menschen und die geistige Regulierung politischer Macht – verwurzelt in der Topografie Europas, die Konkurrenz erzwang, und vor allem im Christentum, weitergetragen in weltlichen Religionen wie dem Kommunismus, und so attraktiv, dass Hauke Ritz von Universalismus sprechen kann, von der Fähigkeit dieser Kultur, ein Leitstern für die Welt zu sein.

Ich habe die Texte im Frühling 2022 gelesen, allesamt in einem Rutsch, um mich auf das Gespräch vorzubereiten, das ich mit Hauke Ritz dann im Juni für die Plattform Apolut geführt habe, den Nachfolger von KenFM. Ich weiß, dass das ein Privileg ist. Lesen, worauf man Lust hat, und dafür auch noch bezahlt werden. Ich weiß auch, dass ich ohne die Vorgeschichte, ohne Corona und all das, was mich und dieses Land dorthin geführt hat, niemals das Glück hätte empfinden können, das mit der Entdeckung eines Autors wie Hauke Ritz verbunden ist. Ohne all das wäre ich wahrscheinlich weiter zu irgendwelchen hochwichtigen Tagungen in die USA geflogen und hätte mich mit Aufsätzen für Fachzeitschriften gequält, die für einen winzigen Kreis von Eingeweihten gemacht und selbst von diesem Kreis allenfalls registriert, aber nicht studiert werden.

Lange Gespräche mit Köpfen wie Hauke Ritz hatten bei Ovalmedia oder Apolut in den Coronajahren sechsstellige Zuschauerzahlen. Ein großes Publikum, wenn man die Komplexität und die Originalität mitdenkt, die jeder Leser gleich genießen kann. Man findet diese Videos noch, allerdings nicht beim De-facto-Monopolisten YouTube, der Zensur sei Dank. Im Bermudadreieck zwischen Berlin, Brüssel und dem Silicon Valley verschwindet alles, was die hegemonialen Narrative herausfordert und das Potenzial hat, Menschenmassen erst zu erreichen und dann zu bewegen. Ich habe Hauke Ritz deshalb schon im Studio und am Abend nach unserem Dreh ermutigt und wahrscheinlich sogar ein wenig gedrängt, aus seinen Aufsätzen ein Buch zu machen. Das war auch ein wenig egoistisch gedacht: Ich wollte mein Aha-Erlebnis mit anderen teilen und so Gleichgesinnte heranziehen. Der Mensch ist ein Herdentier und mag es nicht, allein und isoliert zu sein. 

3. Ein neuer Blick auf Macht

Drei Jahre später gibt es nicht nur die Aufsatzsammlung, die Sie gerade in den Händen halten, sondern auch ein Buch, das ich als „großen Wurf“ beschrieben habe – als Werk eines Autors, der die Wirklichkeit nicht ignoriert (Geografie, Reichtum und die Geschichte mit ihren ganz realen Folgen), sich aber trotzdem von der Vorstellung löst, dass der Mensch in all seinem Streben und Irren nicht mehr sei als ein Produkt der Umstände. Hauke Ritz dreht den Spieß um: Die Geschichte bewegt nicht uns, sondern wir bewegen sie. Was passiert, das passiert auch und vielleicht sogar in erster Linie, weil wir ganz bestimmte Vorstellungen von der Vergangenheit und unserem Platz in dieser Welt verinnerlicht haben. Von diesem Axiom ist es nur ein klitzekleiner Schritt zur Machtpolitik: Wenn es stimmt, dass das historische Bewusstsein mindestens genauso wichtig ist wie Atomsprengköpfe, Soldaten oder Gasfelder, dann können sich die Geheimdienste nicht auf Überwachung und Kontrolle beschränken. Dann müssen sie in die Ideenproduktion eingreifen. Und wir? Wir müssen die Geistesgeschichte neu schreiben, Politik anders sehen und zuallererst begreifen, dass der Mensch das Sein verändern kann, wenn er denn versteht, wer und was seinen Blick bisher gelenkt hat. Ich bin deshalb besonders froh, dass es auch das Herz der Serie „Die Logik des neuen kalten Krieges“ in dieses Buch geschafft hat, ursprünglich 2016 bei RT-Deutsch erschienen. Diese Stücke sind exemplarisch für das Denken von Hauke Ritz. Der Neoliberalismus, um das nur an einem Beispiel zu illustrieren, wird dort von ihm nicht ökonomisch interpretiert, „sondern als ein Kulturmodell“, das zu verstehen hilft, wie es zu der Ehe von Kapitalismus und „neuer Linker“ kommen konnte und damit sowohl zu jener „aggressiven Dominanz des Westens“, die auch den Westend-Verlag umtreibt und so diese Publikation ermöglicht, als auch zur „Vernachlässigung der sozialen Frage“. 

Hauke Ritz holt die geistige Dimension von Herrschen und Beherrschtwerden ins Scheinwerferlicht und fragt nach der „Macht des Konzepts“. Diese Macht, sagt Hauke Ritz nicht nur in seinem Aufsatz über die „kulturelle Dimension des Kalten Krieges“, hat 1989/90 den Zweikampf der Systeme entschieden. Nicht die Ökonomie, nicht das Wohlstandsgefälle, nicht das Wettrüsten. Ein Riesenreich wie die Sowjetunion, kaum verschuldet, autark durch Rohstoffe und in der Lage, jeden Feind abzuschrecken, habe weder seine Satellitenstaaten aufgeben müssen noch sich selbst – wenn da nicht der Sog gewesen wäre, der von der Rockmusik ausging, von Jeans und Hollywood, von bunten Schaufenstern und von einem Märchen, das das andere Lager als Hort von Mitbestimmung, Pressefreiheit und ganz privatem Glück gepriesen hat. Als selbst der erste Mann im Kreml all das für bare Münze nahm und Glasnost ausrief (das, was der Westen für seinen Journalismus bis heute behauptet, aber schon damals nicht einlösen konnte und wollte), sei es um den Gegenentwurf geschehen gewesen. Die Berliner Mauer habe der Psychologie nicht standhalten können.

Fast noch wichtiger: All das war kein Zufall, sondern Resultat strategischer und vor allem geheimdienstlicher Arbeit. Hauke Ritz kann sich hier unter anderem auf Francis Stonor Saunders und Michael Hochgeschwender stützen und so herausarbeiten, wie die CIA über den Kongress für kulturelle Freiheit in den 1950ern und 1960ern Schriftsteller und Journalisten finanzierte, Musiker und Maler, Zeitschriften, Galerien, Filme – und damit Personal, Denkmuster, Symbole. Die „neue“ Linke, „nicht-kommunistisch“, also nicht mehr an der System- und Eigentumsfrage interessiert, diese „neue“ Linke ist, das lernen wir bei Hauke Ritz, genauso ein Produkt von Ideenmanagement wie das positive US-Bild vieler Westeuropäer oder eine neue französische Philosophie um Michel Foucault, Claude Lévi-Strauss oder Bernard-Henri Lévy, die Marx und Hegel abwählte, stattdessen auf Nietzsche setzte und so ein Fundament schuf für das „Projekt einer Umwertung aller Werte“.

Natürlich kann man fragen: Was hat all das mit uns zu tun? Mit dem Krieg in der Ukraine, mit der Zukunft Europas oder gar mit der These auf dem Buchcover, dass nichts weniger als der „Weltfrieden“ ausgerechnet von uns, von Deutschland abhängt? Warum sollen wir uns mit Kämpfen in irgendwelchen Studierstübchen beschäftigen, die höchstens zwei Handvoll Gelehrte verstehen? Hauke Ritz sagt: Wer die Welt beherrschen will, muss den Code der europäischen Kultur umschreiben. Wie weit dieses „Projekt“ schon gediehen ist, sieht jeder, der die Augen öffnet. In der Lesart von Hauke Ritz ist Europa Opfer einer „postmodernen Fehlinterpretation seiner eigenen Kultur“, importiert aus den USA und nur abzuwehren mit Hilfe von Russland, das zwar zu Europa gehöre, sich vom Westen des Kontinents aber unterscheide und deshalb einen Gegenentwurf liefern könne. Stichworte sind hier Orthodoxie und Sozialismus sowie eine Vergangenheit als Imperium, ohne die, so sieht das Hauke Ritz, neben diplomatischen Erfahrungen die „politischen Energien“ fehlen, die nötig sind, um Souveränität auch da zu bewahren, wo die „Macht des Konzepts“ beginnt. China und der Iran ja, Indien und Lateinamerika nein.

Keine Angst, ich schreibe hier kein zweites Buch. Diese Appetithäppchen sollen Lust machen auf einen Autor, der die Hektik der Gegenwart hinter sich lässt und aus den Tiefen der Geschichte eine Interpretation anbietet, die die hegemoniale Ideologie in ein ganz neues Licht rückt und sie so als „Rechtfertigungslehre“ enttarnt (Werner Hofmann) oder als „Machtinterpretation der Wirklichkeit“ (Václav Havel), die sich zwangsläufig „ritualisiert“ und „von der Wirklichkeit emanzipiert“, um als „Alibi“ für alle funktionieren zu können, die mit der Macht marschieren. Ich weiß nicht mehr, wie ich das Marx-Zitat mit dem komischen Wort „kömmt“ als kleiner Junge gedeutet habe. Ich wusste wenig von Philosophie und gar nichts von der Welt. Hauke Ritz blickt nicht nur in Abgründe, die ich vorher allenfalls aus dem Augenwinkel gesehen hatte, sondern bietet zugleich eine Lösung an. Als Gleichung und in seinen Worten formuliert: „klassische Arbeiterbewegung“ plus „christlich orientierte Wertkonservative“ ist gleich Hoffnung und Neustart. Und nun Vorhang auf für einen Philosophen, der nicht nur Deutschland einen Weg weist in Richtung Veränderung und Frieden.

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Michael Meyen ist Medienforscher, Ausbilder und Journalist. Seit 2002 ist er Universitätsprofessor an der LMU München. https://www.freie-medienakademie.de/

Der Link zum Buch von Hauke Ritz

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@ 04c3c1a5:a94cf83d

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(Textículo em prosa erudita sobre a Ideologia Anarco-Capitalista-Cristã)

https://davipinheiro.com/01-escravos-da-cara-inchada/

A cultura #Woke apropriou-se da imagem sobre a #escravidão. Quando uma pessoa aculturada imagina um #escravo, vem em sua mente a imagem de um ser humano negro, magro e flagelado. Para quem enxerga além das cortinas da mentira, vem em sua mente a imagem de um ser humano de qualquer etnia, gordo e doente.

Democracia, péssimo regime de governo assim classificado pelo seu próprio idealizador: Platão em A República, é o grito da hienas de dentes arreganhados para ampliação do regime escravocrata fomentado pelos #GlobalistasSatanistas.

Um escravo da cara inchada é todo aquele ser humano ignorante inconsciente que alimenta esse sistema em troca de intoxicantes como flúor¹, cloro, glutamato monosódico, gordura trans, corantes, conservantes, refrigerantes, bebidas alcoólicas, psicotrópicos e remédios sintomáticos, tudo embrulhado com mentiras reiteradas.

Como consequência, após os 18 anos de idade o corpo do #EscravoDaCaraInchada sucumbe à tamanha intoxicação e passa a inchar, sendo fisicamente perceptível sua condição de escravo da cara inchada tanto à olho nú quando por reconhecimento facial de qualquer pseudo inteligência artificial.

O círculo vicioso da #EscravidaoDemocratica é tão simples e tosco como o “pão e circo romano”, Mesmo assim é muito difícil para o escravo da cara inchada perceber a própria condição tamanha é sua intoxicação física e mental.

Se um Anarco-Capitalista-Cristão (#Ancapcristão) chega para um escravo da cara inchada e explica sobre esses intoxicantes como instrumento de escravização, dificilmente o escravo da cara inchada irá acreditar pois diferentemente do antigo e aposentado chicote, o novo instrumento da escravidão não dói de imediato e os próprios efeitos da intoxicação impedem-no de raciocinar com clareza.

Portanto, para que os #GlobalistasSatanistas obtivessem sucesso na democratização da escravidão, tiveram que criar um chicote químico e uma ideologia favorável. Quanto às etapas utilizadas para formação dessa ideologia no inconsciente coletivo passo a elencar as 6 grandes mentiras em ordem cronológica:

(1ª etapa) Iluminismo: distanciamento de #Deus e seus ensinamentos, criação de sociedades secretas, exacerbação do ser humano perante o criador na tentativa de projetar o ser humano como seu próprio deus, tornando-o responsável sobre os rumos naturais do planeta. Assim formou-se a base ideológica para o materialismo, ambientalismo, feminismo, controle populacional e ideologia de gêneros;

(2ª etapa) Materialismo: perda do propósito espiritual e do sentido da vida², o que passa a importar são apenas as coisas materiais, acima inclusive do próprio ser humano. A perpetuação da espécie também fica em segundo plano. Assim formou-se a base ideológica para o ambientalismo, feminismo, controle populacional e ideologia de gêneros;

(3ª etapa) Ambientalismo: redução do ser humano à mero câncer do planeta superlotado, atribuído-lhe a responsabilidade por qualquer desastre natural. Assim formou-se a base ideológica para o controle populacional e ideologia de gêneros;

(4ª etapa) Feminismo: enfraquecimento do ser humano por meio da sua divisão em duas categorias: macho e fêmea, os quais são inimigos e não cooperadores. A ideia de igualdade de gêneros é tão antagônica que beira ao conflito cognitivo³: Eles querem separar para dizer que são iguais... Ora, como não pode haver diferenças entre os gêneros se eles são fisicamente e mentalmente diferentes? Nesse diapasão, mesmo não sendo os estados nacionais os arquitetos da escravidão democrática e sim meros fantoches dos globalistas satanistas, o voto feminino foi fundamental para aprovação de leis misândricas com o fito de acelerar a destruição da base familiar do escravo da cara inchada. Importante mencionar que a base familiar dos globalistas satanistas continua sendo patriarcal. Assim formou-se a base ideológica para o controle populacional e ideologia de gêneros;

(5ª etapa) Controle Populacional: “Crescei e multiplicai-vos” é o caralho, Deus não sabe de nada (Iluminismo), o que importa é o dinheiro e filho é caro (Materialismo), para que colocar mais um ser humano nesse planeta doente e superlotado (Ambientalismo), além disso o sexo oposto é meu inimigo (Feminismo). Essa é base ideológica que antecede a ideologia de Controle Populacional, ainda reforçada pela apologia à castração, já que em todas as mídias produzidas com patrocínio oculto de capital globalista satanista tentam normalizar a castração do homem (perda da capacidade de reprodução) desde em desenhos infantis até grandes produções cinematográficas, ora em tom de humor ora em tom de tortura. Assim os escravos da cara inchada do sexo masculino perderam sua identidade, essência e desejo de ser o que são, formando-se a base ideológica para o homossexualismo, ou seja, para a ideologia de gêneros.

(6ª etapa) Ideologia de Gêneros: É a cereja do bolo para os planos do Diabo (Anjo invejoso de Deus que quer destruir a maior criação: nós). Enquanto os globalistas satanistas, dentro de sua sábia ignorância, acreditam estarem chefiando a democratização da escravidão, na verdade também não passam de meros fantoches do Anjo Caído. Com a sexta e última etapa de mentiras para extinção da humanidade (#apocalipse) posta em prática através da Ideologia de Gêneros, fecha-se o ciclo vicioso de mentiras que se auto justificam: Se #Deus não presta, o que vale são os bens materiais, o ser humano é um câncer no planeta, o sexo oposto é inimigo e ter filhos é uma péssima ideia e ser homem másculo é crime, então ser #homossexual é a melhor opção, inclusive vamos castrar os meninos antes da puberdade sem o consentimento dos pais ou mães solo. Aqui também há uma grande bifurcação do círculo vicioso de mentiras, qual seja o gritante conflito cognitivo³: Se todos os homens deixarem de ser másculos, quem vai comer os #gays afeminados? Ou se todas as mulheres deixarem de ser femininas, quem as #sapatonas irão comer? E o pior, se todos passem a ser homossexuais quem vai perpetuar a espécie? Seremos extintos no lapso temporal de apenas uma geração, pois a fraudulenta medicina moderna jamais terá a capacidade de gerar bebês de chocadeira à tempo.

É interessante enxergar que mesmo os Globalistas Satanistas, dentro de sua sábia ignorância, acreditando estarem democratizando a escravidão em benefício próprio, na verdade apenas estão fomentando o apocalipse, ou seja sua própria extinção. Também não terão qualquer lugar especial no inferno, sinônimo de mal é mentira. Portanto os #GlobalistaSatanistas são meros fantoches do #Diabo enganador, tão submissos quanto o Escravo da Cara Inchada…

Interessante também enxergar que o livre arbítrio é uma condição obrigatória para independência da criação (anjo e ser humano). Todos somos livres para escolher entre o bem e o mal, se iremos ser escravos de #Deus ou escravos do Diabo. Se assim não fosse, inexistiria criação pois seríamos mera extensão da consciência do #Criador, em outras palavras: para que exista uma criação, essa deve ter a capacidade de decisão de forma independente, o chamado livre arbítrio.

Com base nisso, temos que não cabe à nos fazer qualquer revolução, tudo está normal, a luta entre o bem e o mal sempre irá existir pois um não existe sem o outro. Nos cabe apenas escolher o lado. Nesse contexto, tenho a seguinte mensagem destinada à você para encerrar o presente Textículo Anarco-Capitalista-Cristão:

------ > Se você for um ANARCO-CAPITALISTA-CRISTÃO passe esta palavra à diante para que a verdade atinja o maior número de ignorantes inconscientes possível;

------ > Se você for um GLOBALISTA SATANISTA, vai viver sua vida, desfrutar da própria fortuna e pare de ser fantoche o Diabo, mentiram para você: não terá qualquer lugar especial quando morrer;

------ > Se você for um ESCRAVO DA CARA INCHADA e não entendeu o que eu disse, por favor me pergunte ou debata comigo, terei o prazer em lhe ajudar a enxergar a verdade. Pare de trabalhar por dinheiro fiduciário, passe a aceitar #Monero e #Bitcoin em troca do seu trabalho, pois isso é o único jeito de sermos financeiramente livres, se tiver alguma dúvida sobre #criptomoedas me pergunte e terei o prazer e ensinar. Se ainda assim você se recusa a enxergar a verdade exposta aqui, por favor aceite #Monero e #Bitcoin quando for dar o seu cú. Ou melhor, cometa suicídio, já que você é um câncer no planeta, salve a natureza.

(Davi Pinheiro)

¹ - https://davipinheiro.com/teoria-da-conspiracao-o-fluor-na-agua-e-usado-para-controlar-mentes-revista-super-interessante-editora-abril/

² - https://davipinheiro.com/qual-o-sentido-da-vida/

³ - https://davipinheiro.com/entendendo-as-referencias-cruzadas-do-pensamento/

PREZADOS AMIGOS, DIVULGUEM ESTE ARTIGO. ABAIXO SEGUE A LISTA DOS 500 BRASILEIROS MAIS ATIVOS NO NOSTR NOS ÚLTIMOS MESES PARA TODOS SEGUIREM-SE ENTRE SI E FORTALECER NOSSA COMUNIDADE DE LÍNGUA BRASILEIRA (se você não estiver na lista interaja para ser adicionado):

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@ 06b7819d:d1d8327c

In June 2023, the Law Commission of England and Wales published its final report on digital assets, concluding that the existing common law is generally flexible enough to accommodate digital assets, including crypto-tokens and non-fungible tokens (NFTs).

However, to address specific areas of uncertainty, the Commission recommended targeted statutory reforms and the establishment of an expert panel.

Key Conclusions and Recommendations:

1.  Recognition of a Third Category of Personal Property:

Traditional English law classifies personal property into two categories: “things in possession” (tangible items) and “things in action” (enforceable rights). Digital assets do not fit neatly into either category. The Commission recommended legislation to confirm the existence of a distinct third category of personal property to better accommodate digital assets. 

1. Development of Common Law: The Commission emphasized that the common law is well-suited to adapt to the complexities of emerging technologies and should continue to evolve to address issues related to digital assets. 

2. Establishment of an Expert Panel: To assist courts in navigating the technical and legal challenges posed by digital assets, the Commission recommended that the government create a panel of industry experts, legal practitioners, academics, and judges. This panel would provide non-binding guidance on issues such as control and transfer of digital assets. 

3. Facilitation of Crypto-Token and Crypto-Asset Collateral Arrangements: The Commission proposed the creation of a bespoke statutory legal framework to facilitate the use of digital assets as collateral, addressing current legal uncertainties in this area. 

4. Clarification of the Financial Collateral Arrangements Regulations: The report recommended statutory amendments to clarify the extent to which digital assets fall within the scope of the Financial Collateral Arrangements (No 2) Regulations 2003, ensuring that existing financial regulations appropriately cover digital assets. 

Overall, the Law Commission’s report underscores the adaptability of English common law in addressing the challenges posed by digital assets, while also identifying specific areas where legislative action is necessary to provide clarity and support the evolving digital economy.

@ 472f440f:5669301e

Marty's Bent

It's been a pretty historic week for the United States as it pertains to geopolitical relations in the Middle East. President Trump and many members of his administration, including AI and Crypto Czar David Sacks and Treasury Secretary Scott Bessent, traveled across the Middle East making deals with countries like Qatar, Saudi Arabia, the United Arab Emirates, Syria, and others. Many are speculating that Iran may be included in some behind the scenes deal as well. This trip to the Middle East makes sense considering the fact that China is also vying for favorable relationships with those countries. The Middle East is a power player in the world, and it seems pretty clear that Donald Trump is dead set on ensuring that they choose the United States over China as the world moves towards a more multi-polar reality.

Many are calling the events of this week the Riyadh Accords. There were many deals that were struck in relation to artificial intelligence, defense, energy and direct investments in the United States. A truly prolific power play and demonstration of deal-making ability of Donald Trump, if you ask me. Though I will admit some of the numbers that were thrown out by some of the countries were a bit egregious. We shall see how everything plays out in the coming years. It will be interesting to see how China reacts to this power move by the United States.

While all this was going on, there was something happening back in the United States that many people outside of fringe corners of FinTwit are not talking about, which is the fact that the 10-year and 30-year U.S. Treasury bond yields are back on the rise. Yesterday, they surpassed the levels of mid-April that caused a market panic and are hovering back around levels that have not been seen since right before Donald Trump's inauguration.

I imagine that there isn't as much of an uproar right now because I'm pretty confident the media freakouts we were experiencing in mid-April were driven by the fact that many large hedge funds found themselves off sides of large levered basis trades. I wouldn't be surprised if those funds have decreased their leverage in those trades and bond yields being back to mid-April levels is not affecting those funds as much as they were last month. But the point stands, the 10-year and 30-year yields are significantly elevated with the 30-year approaching 5%. Regardless of the deals that are currently being made in the Middle East, the Treasury has a big problem on its hands. It still has to roll over many trillions worth of debt over over the next few years and doing so at these rates is going to be massively detrimental to fiscal deficits over the next decade. The interest expense on the debt is set to explode in the coming years.

On that note, data from the first quarter of 2025 has been released by the government and despite all the posturing by the Trump administration around DOGE and how tariffs are going to be beneficial for the U.S. economy, deficits are continuing to explode while the interest expense on the debt has definitively surpassed our annual defense budget.

via Charlie Bilello

via Mohamed Al-Erian

To make matters worse, as things are deteriorating on the fiscal side of things, the U.S. consumer is getting crushed by credit. The 90-plus day delinquency rates for credit card and auto loans are screaming higher right now.

via TXMC

One has to wonder how long all this can continue without some sort of liquidity crunch. Even though equities markets have recovered from their post-Liberation Day month long bear market, I would not be surprised if what we're witnessing is a dead cat bounce that can only be continued if the money printers are turned back on. Something's got to give, both on the fiscal side and in the private markets where the Common Man is getting crushed because he's been forced to take on insane amounts of debt to stay afloat after years of elevated levels of inflation. Add on the fact that AI has reached a state of maturity that will enable companies to replace their current meat suit workers with an army of cheap, efficient and fast digital workers and it isn't hard to see that some sort of employment crisis could be on the horizon as well.

Now is not the time to get complacent. While I do believe that the deals that are currently being made in the Middle East are probably in the best interest of the United States as the world, again, moves toward a more multi-polar reality, we are facing problems that one cannot simply wish away. They will need to be confronted. And as we've seen throughout the 21st century, the problems are usually met head-on with a money printer.

I take no pleasure in saying this because it is a bit uncouth to be gleeful to benefit from the strife of others, but it is pretty clear to me that all signs are pointing to bitcoin benefiting massively from everything that is going on. The shift towards a more multi-polar world, the runaway debt situation here in the United States, the increasing deficits, the AI job replacements and the consumer credit crisis that is currently unfolding, All will need to be "solved" by turning on the money printers to levels they've never been pushed to before.

Weird times we're living in.

China's Manufacturing Dominance: Why It Matters for the U.S.

In my recent conversation with Lyn Alden, she highlighted how China has rapidly ascended the manufacturing value chain. As Lyn pointed out, China transformed from making "sneakers and plastic trinkets" to becoming the world's largest auto exporter in just four years. This dramatic shift represents more than economic success—it's a strategic power play. China now dominates solar panel production with greater market control than OPEC has over oil and maintains near-monopoly control of rare earth elements crucial for modern technology.

"China makes like 10 times more steel than the United States does... which is relevant in ship making. It's relevant in all sorts of stuff." - Lyn Alden

Perhaps most concerning, as Lyn emphasized, is China's financial leverage. They hold substantial U.S. assets that could be strategically sold to disrupt U.S. treasury market functioning. This combination of manufacturing dominance, resource control, and financial leverage gives China significant negotiating power in any trade disputes, making our attempts to reshoring manufacturing all the more challenging.

Check out the full podcast here for more on Triffin's dilemma, Bitcoin's role in monetary transition, and the energy requirements for rebuilding America's industrial base.

Headlines of the Day

Financial Times Under Fire Over MicroStrategy Bitcoin Coverage - via X

Trump in Qatar: Historic Boeing Deal Signed - via X

Get our new STACK SATS hat - via tftcmerch.io

Johnson Backs Stock Trading Ban; Passage Chances Slim - via X

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@ 06b7819d:d1d8327c

The system design and challenges of retail Central Bank Digital Currencies (CBDCs) differ significantly from Bitcoin in several key aspects, reflecting their distinct purposes and underlying philosophies:

1. Core Purpose and Issuance

   • CBDCs: Issued by central banks, CBDCs are designed as state-backed digital currencies for public use. Their goal is to modernize payments, enhance financial inclusion, and provide a risk-free alternative to private money. • Bitcoin: A decentralized, peer-to-peer cryptocurrency created to operate independently of central authorities. Bitcoin aims to be a store of value and medium of exchange without reliance on intermediaries or governments.

2. Governance and Control

   • CBDCs: Operate under centralized governance. Central banks retain control over issuance, transaction validation, and data management, allowing for integration with existing regulatory frameworks (e.g., AML and CFT). • Bitcoin: Fully decentralized, governed by a consensus mechanism (Proof of Work). Transactions are validated by miners, and no single entity controls the network.

3. Privacy

   • CBDCs: Seek to balance privacy with regulatory compliance. Privacy-enhancing technologies may be implemented, but user data is typically accessible to intermediaries and central banks to meet regulatory needs. • Bitcoin: Pseudonymous by design. Transactions are public on the blockchain but do not directly link to individual identities unless voluntarily disclosed.

4. System Design

   • CBDCs: May adopt a hybrid system combining centralized (e.g., central bank-controlled settlement) and decentralized elements (e.g., private-sector intermediaries). Offline functionality and interoperability with existing systems are priorities. • Bitcoin: Fully decentralized, using a distributed ledger (blockchain) where all transactions are validated and recorded without reliance on intermediaries.

5. Cybersecurity

   • CBDCs: Cybersecurity risks are heightened due to potential reliance on centralized points for data storage and validation. Post-quantum cryptography is a concern for future-proofing against quantum computing threats. • Bitcoin: Security relies on cryptographic algorithms and decentralization. However, it is also vulnerable to quantum computing in the long term, unless upgraded to quantum-resistant protocols.

6. Offline Functionality

   • CBDCs: Exploring offline payment capabilities for broader usability in remote or unconnected areas. • Bitcoin: Offline payments are not natively supported, although some solutions (e.g., Lightning Network or third-party hardware wallets) can enable limited offline functionality.

7. Point of Sale and Adoption

   • CBDCs: Designed for seamless integration with existing PoS systems and modern financial infrastructure to encourage widespread adoption. • Bitcoin: Adoption depends on merchant willingness and the availability of cryptocurrency payment gateways. Its volatility can discourage usage as a medium of exchange.

8. Monetary Policy and Design

   • CBDCs: Can be programmed to support specific policy goals, such as negative interest rates, transaction limits, or conditional transfers. • Bitcoin: Supply is fixed at 21 million coins, governed by its code. It is resistant to monetary policy interventions and inflationary adjustments.

In summary, while CBDCs aim to complement existing monetary systems with centralized oversight and tailored features, Bitcoin is designed as a decentralized alternative to traditional currency. CBDCs prioritize integration, control, and regulatory compliance, whereas Bitcoin emphasizes autonomy, censorship resistance, and a trustless system.

@ 57d1a264:69f1fee1

You don’t have to be a type designer to appreciate what goes into the design of a letterform. In fact, even if you’re just a humble graphic designer, you should have a basic knowledge of what constructs the type you employ.

Typography, for all its concepts, expectations, implications, connotations and artistry, is, ultimately, a system. Just like a body has bones and muscles, every letterform has parts that give it shape, rhythm, and character.

If you're a creative working with type, learning the names of these parts helps you communicate clearly, better analyze your work and others, and design with precision. Everything comes down to a foundational understanding of the anatomy of the letterform and its essential component. So let’s help you with that.

Pangram Pangram Foundry is where the art of typography meets unparalleled craftsmanship. Established in 2018 by designer Mat Desjardins, Pangram Pangram has swiftly risen to become a globally recognized independent type foundry, admired and trusted by industry peers and the design community alike.

Read more about the anatomy of fonts at https://pangrampangram.com/blogs/journal/anatomy-of-the-letterform

originally posted at https://stacker.news/items/978828

@ 57d1a264:69f1fee1

Steve Jobs sent me an email saying “Great idea, thank you."

Wait, what? What was the great idea?

new guy at NeXT In October of 1991, I was a new Systems Engineer at NeXT. NeXT, of course, was the company Steve Jobs had founded after leaving Apple in 1985, and which eventually merged back into Apple in 1996. I was one of three employees in Canada, and I think NeXT had about 400 people total.

NeXTMail Mail on the NeXT Computer was pretty amazing in 1991. Multimedia! Fonts! Attachments! Sounds! It’s hard to overstate how cool that was compared to the command line email everybody was used to. Every NeXT user got this email from Steve when they started up their computer.

That message included an attachment of what NeXT called Lip Service, the crazy idea that you could embed an audio file inside an email message. Crazy.

i have an idea

NeXT automatically set everybody up with a first-initial last-name address in the usual way, so I was shayman@next.com, and the big guy was sjobs@next.com.

A few colleagues had somehow acquired cooler email aliases - single letter things, or their first name, or a nickname or an easier to spell version, or whatever. Turns out NeXT had set up some sort of form where you could request an email alias that would redirect to whatever your real email address was.

I also noticed that even though there were seven or eight people at NeXT named Steve, nobody was using the email alias steve@next.com.

So late one Friday night, two weeks into the job, I figured, naively, what the heck, nobody else seems to want it, so I filled in the form asking for steve@next.com to be forwarded to me, shayman@next.com.

In the back of my mind was a vague idea that maybe somebody would have to approve this. But no, it all got set up automatically, and …

Continue reading at https://blog.hayman.net/2025/05/06/from-steve-jobs-great-idea.html

originally posted at https://stacker.news/items/978825

@ 0b118e40:4edc09cb

My week started off with a lovely message from a friend : “I often think about you. Especially during times when it requires me to be more resilient and have faith in myself. I always carry your note in the book you gave me, “what the dog saw” And it always gives me courage and I send a little prayer your way”.

This friend of mine was dealing with the undercurrent of discrimination in my alma mater when we first met, and I helped out. It's something anybody would have done, but surprisingly, nobody else showed up. We’ve stayed in touch over the years, and my friend went on to help a lot of other people along the way.

I don’t remember what I wrote in that note. It’s something I tend to do (write notes, give books, write notes in books). But the message boomeranged back to me at a time when I needed to hold the line. To keep the faith.

Most of us don’t talk about our struggles. And sometimes the smallest act, which could just be a kind word or a reminder of the person you are, can carry farther than we imagine.

On the act of giving

There’s a book called Give and Take by Adam Grant. I picked it up hoping to learn how to take, because it’s always been easier to give and harder to accept help. But what I learned was something else entirely.

Grant studied over 30,000 people across different companies and grouped them into three types: * Givers * Matchers * Takers

Based on his studies, givers often finish last... They struggle the most. They burn out. They get overlooked. They’re too trusting.

But oddly, they also rise to the very top.

Matchers are the scorekeepers, the “I’ll help you if you help me” kind. They make up most of the population. The fascinating thing about tit-for-tat is that if someone’s kind, they reciprocate. But if someone acts like a jerk, they return the energy, and over time, it becomes a pool of spoiled milk. Matchers are a lukewarm, forgettable kind of network.

Takers are the ones chasing attention, always aligning themselves with whoever looks powerful. They tend to float toward status and soak up what they can. But they often portray themselves as kind and giving.

One example Grant shared was Enron's Kenneth Lay, who was at the center of one of the biggest corporate scandals in U.S. history. He hung around wherever he’d get seen or validated. He funded both Bush and Clinton, hedging his bets on who might win by securing proximity. Sadly, when Enron crumbled, he died of a heart attack before his prison sentencing.

Most people steer clear from takers because they are just exhausting. And takers often collapse under the weight of their own games.

But takers aren’t the lowest performers. That spot belongs to a certain kind of giver—the self-neglecting kind. The ones with no boundaries, no clarity, and no self-awareness. They give in to avoid conflict, to feel worthy, or because they don’t know how to say no. And when life breaks them, they point fingers.

Then there’s the other kind of giver. The ones who build trust and build people up without asking for a receipt.

These givers: 1. Give without expectation, from a place of purpose 2. Build and uplift others without seeking credit 3. Set boundaries and walk away when giving turns into draining

This group of givers rarely talk much about what they do for others. But when you hear about it or see it, it stays with you. It makes you want to show up a little better.

Why open source environments feels like home

The more I thought about it, the more I saw how deeply open source reflects that kind of giving that ends up right at the top.

In open source, you don’t last if it’s just about ego. You can’t fake it. There are no titles, no awards. You either show up to build and help, or you don’t.

People who give without needing to be seen are the ones the community leans on. You can tell when someone’s pretending to care. It’s in their tone, their urgency and their sense of transaction. The genuine ones don’t need to brand themselves as generous. They just are.

Open source works because giving is the default setting. The work speaks volumes and generosity compounds. The system filters for people who show up with purpose and stay consistent.

It’s also why the ones who whine, posture, or manipulate rarely last. They might call themselves givers, but they’re not fooling anyone who’s actually doing the work.

Adam Grant found that for giver cultures to thrive, takers have to be removed. They need to be pruned. Because takers poison the well. They drain givers, shift the culture from contribution to calculation, and unravel the trust that holds open systems together.

When hope boomerangs

That note is something I don’t remember writing. But it found its way back to me, and it was a good reminder to take my own advice and keep the faith.

And maybe that’s the point.

You do a small thing. And years later, it circles back when it matters most. Not because you expected it. But because you mattered.

According to Grant, givers do best when they combine generosity with grit and strategy. They create networks built on goodwill, which eventually open doors others don’t even know exist.

So if you’re wondering where I’m going with this, do something genuinely kind for someone today. Even if it’s as simple as sending a kind note. Not for you to be seen or heard. And not for you to keep scores.

But, just because.

@ e6817453:b0ac3c39

Hey folks! Today, let’s dive into the intriguing world of neurosymbolic approaches, retrieval-augmented generation (RAG), and personal knowledge graphs (PKGs). Together, these concepts hold much potential for bringing true reasoning capabilities to large language models (LLMs). So, let’s break down how symbolic logic, knowledge graphs, and modern AI can come together to empower future AI systems to reason like humans.

The Neurosymbolic Approach: What It Means ?

Neurosymbolic AI combines two historically separate streams of artificial intelligence: symbolic reasoning and neural networks. Symbolic AI uses formal logic to process knowledge, similar to how we might solve problems or deduce information. On the other hand, neural networks, like those underlying GPT-4, focus on learning patterns from vast amounts of data — they are probabilistic statistical models that excel in generating human-like language and recognizing patterns but often lack deep, explicit reasoning.

While GPT-4 can produce impressive text, it’s still not very effective at reasoning in a truly logical way. Its foundation, transformers, allows it to excel in pattern recognition, but the models struggle with reasoning because, at their core, they rely on statistical probabilities rather than true symbolic logic. This is where neurosymbolic methods and knowledge graphs come in.

Symbolic Calculations and the Early Vision of AI

If we take a step back to the 1950s, the vision for artificial intelligence was very different. Early AI research was all about symbolic reasoning — where computers could perform logical calculations to derive new knowledge from a given set of rules and facts. Languages like Lisp emerged to support this vision, enabling programs to represent data and code as interchangeable symbols. Lisp was designed to be homoiconic, meaning it treated code as manipulatable data, making it capable of self-modification — a huge leap towards AI systems that could, in theory, understand and modify their own operations.

Lisp: The Earlier AI-Language

Lisp, short for “LISt Processor,” was developed by John McCarthy in 1958, and it became the cornerstone of early AI research. Lisp’s power lay in its flexibility and its use of symbolic expressions, which allowed developers to create programs that could manipulate symbols in ways that were very close to human reasoning. One of the most groundbreaking features of Lisp was its ability to treat code as data, known as homoiconicity, which meant that Lisp programs could introspect and transform themselves dynamically. This ability to adapt and modify its own structure gave Lisp an edge in tasks that required a form of self-awareness, which was key in the early days of AI when researchers were exploring what it meant for machines to “think.”

Lisp was not just a programming language—it represented the vision for artificial intelligence, where machines could evolve their understanding and rewrite their own programming. This idea formed the conceptual basis for many of the self-modifying and adaptive algorithms that are still explored today in AI research. Despite its decline in mainstream programming, Lisp’s influence can still be seen in the concepts used in modern machine learning and symbolic AI approaches.

Prolog: Formal Logic and Deductive Reasoning

In the 1970s, Prolog was developed—a language focused on formal logic and deductive reasoning. Unlike Lisp, based on lambda calculus, Prolog operates on formal logic rules, allowing it to perform deductive reasoning and solve logical puzzles. This made Prolog an ideal candidate for expert systems that needed to follow a sequence of logical steps, such as medical diagnostics or strategic planning.

Prolog, like Lisp, allowed symbols to be represented, understood, and used in calculations, creating another homoiconic language that allows reasoning. Prolog’s strength lies in its rule-based structure, which is well-suited for tasks that require logical inference and backtracking. These features made it a powerful tool for expert systems and AI research in the 1970s and 1980s.

The language is declarative in nature, meaning that you define the problem, and Prolog figures out how to solve it. By using formal logic and setting constraints, Prolog systems can derive conclusions from known facts, making it highly effective in fields requiring explicit logical frameworks, such as legal reasoning, diagnostics, and natural language understanding. These symbolic approaches were later overshadowed during the AI winter — but the ideas never really disappeared. They just evolved.

Solvers and Their Role in Complementing LLMs

One of the most powerful features of Prolog and similar logic-based systems is their use of solvers. Solvers are mechanisms that can take a set of rules and constraints and automatically find solutions that satisfy these conditions. This capability is incredibly useful when combined with LLMs, which excel at generating human-like language but need help with logical consistency and structured reasoning.

For instance, imagine a scenario where an LLM needs to answer a question involving multiple logical steps or a complex query that requires deducing facts from various pieces of information. In this case, a solver can derive valid conclusions based on a given set of logical rules, providing structured answers that the LLM can then articulate in natural language. This allows the LLM to retrieve information and ensure the logical integrity of its responses, leading to much more robust answers.

Solvers are also ideal for handling constraint satisfaction problems — situations where multiple conditions must be met simultaneously. In practical applications, this could include scheduling tasks, generating optimal recommendations, or even diagnosing issues where a set of symptoms must match possible diagnoses. Prolog’s solver capabilities and LLM’s natural language processing power can make these systems highly effective at providing intelligent, rule-compliant responses that traditional LLMs would struggle to produce alone.

By integrating neurosymbolic methods that utilize solvers, we can provide LLMs with a form of deductive reasoning that is missing from pure deep-learning approaches. This combination has the potential to significantly improve the quality of outputs for use-cases that require explicit, structured problem-solving, from legal queries to scientific research and beyond. Solvers give LLMs the backbone they need to not just generate answers but to do so in a way that respects logical rigor and complex constraints.

Graph of Rules for Enhanced Reasoning

Another powerful concept that complements LLMs is using a graph of rules. A graph of rules is essentially a structured collection of logical rules that interconnect in a network-like structure, defining how various entities and their relationships interact. This structured network allows for complex reasoning and information retrieval, as well as the ability to model intricate relationships between different pieces of knowledge.

In a graph of rules, each node represents a rule, and the edges define relationships between those rules — such as dependencies or causal links. This structure can be used to enhance LLM capabilities by providing them with a formal set of rules and relationships to follow, which improves logical consistency and reasoning depth. When an LLM encounters a problem or a question that requires multiple logical steps, it can traverse this graph of rules to generate an answer that is not only linguistically fluent but also logically robust.

For example, in a healthcare application, a graph of rules might include nodes for medical symptoms, possible diagnoses, and recommended treatments. When an LLM receives a query regarding a patient’s symptoms, it can use the graph to traverse from symptoms to potential diagnoses and then to treatment options, ensuring that the response is coherent and medically sound. The graph of rules guides reasoning, enabling LLMs to handle complex, multi-step questions that involve chains of reasoning, rather than merely generating surface-level responses.

Graphs of rules also enable modular reasoning, where different sets of rules can be activated based on the context or the type of question being asked. This modularity is crucial for creating adaptive AI systems that can apply specific sets of logical frameworks to distinct problem domains, thereby greatly enhancing their versatility. The combination of neural fluency with rule-based structure gives LLMs the ability to conduct more advanced reasoning, ultimately making them more reliable and effective in domains where accuracy and logical consistency are critical.

By implementing a graph of rules, LLMs are empowered to perform deductive reasoning alongside their generative capabilities, creating responses that are not only compelling but also logically aligned with the structured knowledge available in the system. This further enhances their potential applications in fields such as law, engineering, finance, and scientific research — domains where logical consistency is as important as linguistic coherence.

Enhancing LLMs with Symbolic Reasoning

Now, with LLMs like GPT-4 being mainstream, there is an emerging need to add real reasoning capabilities to them. This is where neurosymbolic approaches shine. Instead of pitting neural networks against symbolic reasoning, these methods combine the best of both worlds. The neural aspect provides language fluency and recognition of complex patterns, while the symbolic side offers real reasoning power through formal logic and rule-based frameworks.

Personal Knowledge Graphs (PKGs) come into play here as well. Knowledge graphs are data structures that encode entities and their relationships — they’re essentially semantic networks that allow for structured information retrieval. When integrated with neurosymbolic approaches, LLMs can use these graphs to answer questions in a far more contextual and precise way. By retrieving relevant information from a knowledge graph, they can ground their responses in well-defined relationships, thus improving both the relevance and the logical consistency of their answers.

Imagine combining an LLM with a graph of rules that allow it to reason through the relationships encoded in a personal knowledge graph. This could involve using deductive databases to form a sophisticated way to represent and reason with symbolic data — essentially constructing a powerful hybrid system that uses LLM capabilities for language fluency and rule-based logic for structured problem-solving.

My Research on Deductive Databases and Knowledge Graphs

I recently did some research on modeling knowledge graphs using deductive databases, such as DataLog — which can be thought of as a limited, data-oriented version of Prolog. What I’ve found is that it’s possible to use formal logic to model knowledge graphs, ontologies, and complex relationships elegantly as rules in a deductive system. Unlike classical RDF or traditional ontology-based models, which sometimes struggle with complex or evolving relationships, a deductive approach is more flexible and can easily support dynamic rules and reasoning.

Prolog and similar logic-driven frameworks can complement LLMs by handling the parts of reasoning where explicit rule-following is required. LLMs can benefit from these rule-based systems for tasks like entity recognition, logical inferences, and constructing or traversing knowledge graphs. We can even create a graph of rules that governs how relationships are formed or how logical deductions can be performed.

The future is really about creating an AI that is capable of both deep contextual understanding (using the powerful generative capacity of LLMs) and true reasoning (through symbolic systems and knowledge graphs). With the neurosymbolic approach, these AIs could be equipped not just to generate information but to explain their reasoning, form logical conclusions, and even improve their own understanding over time — getting us a step closer to true artificial general intelligence.

Why It Matters for LLM Employment

Using neurosymbolic RAG (retrieval-augmented generation) in conjunction with personal knowledge graphs could revolutionize how LLMs work in real-world applications. Imagine an LLM that understands not just language but also the relationships between different concepts — one that can navigate, reason, and explain complex knowledge domains by actively engaging with a personalized set of facts and rules.

This could lead to practical applications in areas like healthcare, finance, legal reasoning, or even personal productivity — where LLMs can help users solve complex problems logically, providing relevant information and well-justified reasoning paths. The combination of neural fluency with symbolic accuracy and deductive power is precisely the bridge we need to move beyond purely predictive AI to truly intelligent systems.

Let's explore these ideas further if you’re as fascinated by this as I am. Feel free to reach out, follow my YouTube channel, or check out some articles I’ll link below. And if you’re working on anything in this field, I’d love to collaborate!

Until next time, folks. Stay curious, and keep pushing the boundaries of AI!

@ 06b7819d:d1d8327c

The Bank of Amsterdam (Amsterdamse Wisselbank), established in 1609, played a pivotal role in the early history of banking and the development of banknotes. While banknotes as a concept had been pioneered in China centuries earlier, their modern form began emerging in Europe in the 17th century, and the Bank of Amsterdam leveraged its unique position to dominate this nascent monetary tool.

Founding and Early Innovations

The Bank of Amsterdam was created to stabilize and rationalize Amsterdam’s chaotic monetary system. During the early 1600s, a plethora of coins of varying quality and origin circulated in Europe, making trade cumbersome and unreliable. The Wisselbank provided a centralized repository where merchants could deposit coins and receive account balances in return, denominated in a standardized unit of account known as “bank money.” This “bank money” was more stable and widely trusted, making it an early form of fiat currency.

The Rise of Banknotes

Although the Wisselbank initially issued “bank money” as a ledger-based system, the growing demand for portable, trusted currency led to the adoption of transferable receipts or “banknotes.” These receipts acted as claims on deposited money and quickly became a trusted medium of exchange. The innovation of banknotes allowed merchants to avoid carrying large quantities of heavy coinage, enhancing convenience and security in trade.

Monopoly on Banknotes

The Wisselbank’s reputation for financial stability and integrity enabled it to establish a monopoly on banknotes in the Dutch Republic. The bank’s stringent policies ensured that its issued notes were fully backed by coinage or bullion, which bolstered trust in their value. By centralizing the issuance of notes, the bank eliminated competition from private or less reliable issuers, ensuring its notes became the de facto currency for merchants and traders.

Moreover, the bank’s policies discouraged the redemption of notes for physical coins, as it charged fees for withdrawals. This incentivized the circulation of banknotes rather than the underlying specie, cementing their role in the economy.

Decline of the Monopoly

The Wisselbank’s monopoly and influence lasted for much of the 17th century, making Amsterdam a hub of global trade and finance. However, as the 18th century progressed, financial mismanagement and competition from other emerging financial institutions eroded the Wisselbank’s dominance. By the late 18th century, its role in the global financial system had diminished, and other European financial centers, such as London, rose to prominence.

Legacy

The Bank of Amsterdam’s early monopolization of banknotes set a precedent for centralized banking and the development of modern monetary systems. Its ability to create trust in a standardized, portable medium of exchange foreshadowed the role that central banks would play in issuing and regulating currency worldwide.

@ df478568:2a951e67

Mene sells investment grade, 24 kt gold jewelry. 24kt gold is 100% atomic number 79, AU, gold like a nugget. More pure than Ivory soap. Best of all, you can buy it the greatest money ever made. By the way, this really is not investment advice. I am bearish on the gold/bitcoin trade anyway. I'm old enough to remember [when a whole coin first became worth more than an ounce of gold.

nostr:nevent1qqsrssrzndmlv6vatcsg5ahzz9hy9k7026x4fq2ntwh3zfaw6hdtj0cjmjyn9.

Unfortunately, I didn't have an ounce of gold back then. I only had a few grams I didn't sell for bitcoin and like eight fiat bucks.

Gold is about gifts for me. I don't have any gold myself, except for  an 18 kt gold necklace my grandmother gave me when I was seven. I'm never selling it I would have a lot more bitcoin if I sold that necklace when bitcoin was $200, but I keep it for sentimental reasons. It's not about the money, it's about the utility of gold. 

Reduce Your Non-Strategic Future Trash Reserve

I don't like spending sats on stuff you expect to throw away within 5 years or less. l'll buy a pair of shoes  very now and then, but it doesn't make sense to go on a shopping spree at The Dollar Tree, where nothing is a dollar, nor built to last. Expect everything you buy at The Dollar Tree to be buried in a landfill within a few years. 

Consider this your non-strategic future trash reserve. Every 1,000 sats you don't spend is a thousand sats stacked. Put those sats into your Strategic Bitcoin Reserve instead of your non-strategic future trash reserve.

*“He is so rich, he has no room to shit.”

– Marcus Aurelius, Meditations*

People Don't Throw Gold Away

I still have that gold necklace even though it no longer fits my neck. If you buy someone a smart watch, you can bet your last sat it will help fill a landfill within 5 years or less. This is not financial advice. If you give the gift of a 24 kt. gold bracelet, you know it won't be thrown away. It might get stolen or sold, but nobody in their right mind is throwing gold away like a sock with holes in it.

That's why I like buying gold as a gift. Besides, my wife and daughter both like gold jewelery. Go figure. I have given them sats before. They prefer the gold. Well, my wife doesn't want to spend the sats anymore, but she did. In the old 144 block days, she She used to joke, "My husband never shuts up about bitcoin. It's money we can't spend. That's not the case anymore. Block by block, bitcoin is accepted more and more places. Menē accepts bitcoin for gold Jewelry.

I don't know if Menē stacks sats, but they do use the lightning network. I doubt they keep the sats. They use BitPay, the company BTCpayServer set out to destroy. I still use bitcoin over the lightning network to stack sats because, like BTCPins says…

Gold Is Stack-able

I'm not saying to spend your whole stack on a Cuban Link. You can start small. Buy a charm. It will come with a free leather strap, but just so you know, it's a trap. My wife said she loves the charm, but needs a charm bracelet to go with it because she's not wearing a strap. Good, now I know what to get her for Christmas. You could save sats for something nice though and many of the pieces are stack-able. Maybe you can't afford a whole ounce today. Buy a few grams and add to it as the blocks go by and the charms presumably become cheaper. Gold is the bigger asset right now and it has gone up quite a bit recently, but bitcoin is hovering just below the Gold/bitcoin all time high. i can't predict the future, but I want to re-iterate, just because they market this as investment jewelry, I am not saying this is investment advice. This is about giving the gift of bitcoin 1.0.

There's a metric ton of different charms that can be added to a bracelet or necklace. This makes gold a gift that keeps on giving. Buy a bracelet for her birthday this year and you can buy her a charm next year. They say bitcoin is digital gold. What better way to begin teaching people digital gold than by using analog gold? Again, I don't expect gold to be the biggest asset in the world for long. This is about showing your loved ones that bitcoin is better than gold.

You can spend sats at Menē. They will send you 100% pure gold. They charge spot for the gold and add a 25% fee for their labor. They will send your gift to the destination of your choice. You can even set the delivery date if you order in advance. Each piece is hand crafted and made to order like Burger King, but built to last and no seed oil. Best of all, they have 44,441 reviews as of block 897,304.

Each piece also comes with a letter of authenticity. It shows how many grams of 100% gold it's made of. It's not as good as a UTXO, but they say the jewelry is as good as gold. If you want to give bitcoin away, buy one of my birthday cards, but if you want to buy something your loved ones won't throw away, buy Menē. They accept bitcoin for tariff-free gold jewelry, hand-crafted in the United States of America. They accept bitcoin, but you know what they don't accept? Gold because bitcoin is better than gold for selling gold on the Internet.

Menē Is Great!

I give Menē two emoji 5-of-5 orange hearts. They make great gifts worthy of people who stand to inherit generational wealth.

🧡🧡🧡🧡🧡

npub1marc26z8nh3xkj5rcx7ufkatvx6ueqhp5vfw9v5teq26z254renshtf3g0

895,308

Tip Sats

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@ e6817453:b0ac3c39

Introduction: Personal Knowledge Graphs and Linked Data

We will explore the world of personal knowledge graphs and discuss how they can be used to model complex information structures. Personal knowledge graphs aren’t just abstract collections of nodes and edges—they encode meaningful relationships, contextualizing data in ways that enrich our understanding of it. While the core structure might be a directed graph, we layer semantic meaning on top, enabling nuanced connections between data points.

The origin of knowledge graphs is deeply tied to concepts from linked data and the semantic web, ideas that emerged to better link scattered pieces of information across the web. This approach created an infrastructure where data islands could connect — facilitating everything from more insightful AI to improved personal data management.

In this article, we will explore how these ideas have evolved into tools for modeling AI’s semantic memory and look at how knowledge graphs can serve as a flexible foundation for encoding rich data contexts. We’ll specifically discuss three major paradigms: RDF (Resource Description Framework), property graphs, and a third way of modeling entities as graphs of graphs. Let’s get started.

Intro to RDF

The Resource Description Framework (RDF) has been one of the fundamental standards for linked data and knowledge graphs. RDF allows data to be modeled as triples: subject, predicate, and object. Essentially, you can think of it as a structured way to describe relationships: “X has a Y called Z.” For instance, “Berlin has a population of 3.5 million.” This modeling approach is quite flexible because RDF uses unique identifiers — usually URIs — to point to data entities, making linking straightforward and coherent.

RDFS, or RDF Schema, extends RDF to provide a basic vocabulary to structure the data even more. This lets us describe not only individual nodes but also relationships among types of data entities, like defining a class hierarchy or setting properties. For example, you could say that “Berlin” is an instance of a “City” and that cities are types of “Geographical Entities.” This kind of organization helps establish semantic meaning within the graph.

RDF and Advanced Topics

Lists and Sets in RDF

RDF also provides tools to model more complex data structures such as lists and sets, enabling the grouping of nodes. This extension makes it easier to model more natural, human-like knowledge, for example, describing attributes of an entity that may have multiple values. By adding RDF Schema and OWL (Web Ontology Language), you gain even more expressive power — being able to define logical rules or even derive new relationships from existing data.

Graph of Graphs

A significant feature of RDF is the ability to form complex nested structures, often referred to as graphs of graphs. This allows you to create “named graphs,” essentially subgraphs that can be independently referenced. For example, you could create a named graph for a particular dataset describing Berlin and another for a different geographical area. Then, you could connect them, allowing for more modular and reusable knowledge modeling.

Property Graphs

While RDF provides a robust framework, it’s not always the easiest to work with due to its heavy reliance on linking everything explicitly. This is where property graphs come into play. Property graphs are less focused on linking everything through triples and allow more expressive properties directly within nodes and edges.

For example, instead of using triples to represent each detail, a property graph might let you store all properties about an entity (e.g., “Berlin”) directly in a single node. This makes property graphs more intuitive for many developers and engineers because they more closely resemble object-oriented structures: you have entities (nodes) that possess attributes (properties) and are connected to other entities through relationships (edges).

The significant benefit here is a condensed representation, which speeds up traversal and queries in some scenarios. However, this also introduces a trade-off: while property graphs are more straightforward to query and maintain, they lack some complex relationship modeling features RDF offers, particularly when connecting properties to each other.

Graph of Graphs and Subgraphs for Entity Modeling

A third approach — which takes elements from RDF and property graphs — involves modeling entities using subgraphs or nested graphs. In this model, each entity can be represented as a graph. This allows for a detailed and flexible description of attributes without exploding every detail into individual triples or lump them all together into properties.

For instance, consider a person entity with a complex employment history. Instead of representing every employment detail in one node (as in a property graph), or as several linked nodes (as in RDF), you can treat the employment history as a subgraph. This subgraph could then contain nodes for different jobs, each linked with specific properties and connections. This approach keeps the complexity where it belongs and provides better flexibility when new attributes or entities need to be added.

Hypergraphs and Metagraphs

When discussing more advanced forms of graphs, we encounter hypergraphs and metagraphs. These take the idea of relationships to a new level. A hypergraph allows an edge to connect more than two nodes, which is extremely useful when modeling scenarios where relationships aren’t just pairwise. For example, a “Project” could connect multiple “People,” “Resources,” and “Outcomes,” all in a single edge. This way, hypergraphs help in reducing the complexity of modeling high-order relationships.

Metagraphs, on the other hand, enable nodes and edges to themselves be represented as graphs. This is an extremely powerful feature when we consider the needs of artificial intelligence, as it allows for the modeling of relationships between relationships, an essential aspect for any system that needs to capture not just facts, but their interdependencies and contexts.

Balancing Structure and Properties

One of the recurring challenges when modeling knowledge is finding the balance between structure and properties. With RDF, you get high flexibility and standardization, but complexity can quickly escalate as you decompose everything into triples. Property graphs simplify the representation by using attributes but lose out on the depth of connection modeling. Meanwhile, the graph-of-graphs approach and hypergraphs offer advanced modeling capabilities at the cost of increased computational complexity.

So, how do you decide which model to use? It comes down to your use case. RDF and nested graphs are strong contenders if you need deep linkage and are working with highly variable data. For more straightforward, engineer-friendly modeling, property graphs shine. And when dealing with very complex multi-way relationships or meta-level knowledge, hypergraphs and metagraphs provide the necessary tools.

The key takeaway is that only some approaches are perfect. Instead, it’s all about the modeling goals: how do you want to query the graph, what relationships are meaningful, and how much complexity are you willing to manage?

Conclusion

Modeling AI semantic memory using knowledge graphs is a challenging but rewarding process. The different approaches — RDF, property graphs, and advanced graph modeling techniques like nested graphs and hypergraphs — each offer unique strengths and weaknesses. Whether you are building a personal knowledge graph or scaling up to AI that integrates multiple streams of linked data, it’s essential to understand the trade-offs each approach brings.

In the end, the choice of representation comes down to the nature of your data and your specific needs for querying and maintaining semantic relationships. The world of knowledge graphs is vast, with many tools and frameworks to explore. Stay connected and keep experimenting to find the balance that works for your projects.

@ eabee230:17fc7576

⚖️ຢ່າລືມສິ່ງທີ່ເຄີຍເກີດຂຶ້ນ ຮອດຊ່ວງທີ່ມີການປ່ຽນແປງລະບົບການເງິນຈາກລະບົບເງິນເກົ່າ ສູ່ລະບົບເງິນໃໝ່ມັນເຮັດໃຫ້ຄົນທີ່ລວຍກາຍເປັນຄົນທຸກໄດ້ເລີຍ ນ້ຳພັກນ້ຳແຮງທີ່ສະສົມມາດ້ວຍຄວາມເມື່ອຍແຕ່ບໍ່ສາມາດແລກເປັນເງິນລະບົບໃໝ່ໄດ້ທັງໝົດ ຖືກຈຳກັດຈຳນວນທີ່ກົດໝາຍວາງອອກມາໃຫ້ແລກ ເງິນທີ່ເຫຼືອນັ້ນປຽບຄືດັ່ງເສດເຈ້ຍ ເພາະມັນບໍ່ມີຢູ່ໃສຮັບອີກຕໍ່ໄປເພາະກົດໝາຍຈະນຳໃຊ້ສະກຸນໃໝ່ ປະຫວັດສາດເຮົາມີໃຫ້ເຫັນວ່າ ແລະ ເຄີຍຜ່ານມາແລ້ວຢ່າໃຫ້ຄົນລຸ້ນເຮົາຊຳ້ຮອຍເກົ່າ.

🕰️ຄົນທີ່ມີຄວາມຮູ້ ຫຼື ໃກ້ຊິດກັບແຫຼ່ງຂໍ້ມູນຂ່າວສານກໍຈະປ່ຽນເງິນທີ່ມີຢູ່ເປັນສິນສັບບໍ່ວ່າຈະເປັນທີ່ດິນ ແລະ ທອງຄຳທີ່ສາມາດຮັກສາມູນລະຄ່າໄດ້ເຮັດໃຫ້ເຂົາຍັງຮັກສາຄວາມມັ້ງຄັ້ງໃນລະບົບໃໝ່ໄດ້.

🕰️ໃຜທີ່ຕ້ອງການຈະຍ້າຍປະເທດກໍ່ຈະໃຊ້ສິ່ງທີ່ເປັນຊື່ກາງໃນການແລກປ່ຽນເປັນທີ່ຍ້ອມຮັບຫຼາຍນັ້ນກໍຄືທອງຄຳ ປ່ຽນຈາກເງິນລະບົບເກົ່າເປັນທອງຄຳເພື່ອທີ່ສາມາດປ່ຽນທອງຄຳເປັນສະກຸນເງິນທ້ອງຖິ່ນຢູ່ປະເທດປາຍທາງໄດ້.

🕰️ຈາກຜູ້ດີເມື່ອກ່ອນກາຍເປັນຄົນທຳມະດາຍ້ອນສັບສິນທີ່ມີ ບໍ່ສາມາດສົ່ງຕໍ່ສູ່ລູກຫຼານໄດ້. ການເກັບອອມເປັນສິ່ງທີ່ດີ ແຕ່ຖ້າໃຫ້ດີຕ້ອງເກັບອອມໃຫ້ຖືກບ່ອນ ຄົນທີ່ຮູ້ທັນປ່ຽນເງິນທີ່ມີຈາກລະບົບເກົ່າໄປສູ່ທອງຄຳ ເພາະທອງຄຳມັນເປັນສາກົນ.
ໃຜທີ່ເຂົ້າໃຈ ແລະ ມອງການໄກກວ່າກໍ່ສາມາດຮັກສາສິນສັບສູ່ລູກຫຼານໄດ້ ເກັບເຈ້ຍໃນປະລິມານທີ່ພໍໃຊ້ຈ່າຍ ປ່ຽນເຈ້ຍໃຫ້ເປັນສິ່ງທີ່ຮັກສາມູນລະຄ່າໄດ້ແທ້ຈິງ.

🕰️ເຮົາໂຊກດີທີ່ເຄີຍມີບົດຮຽນມາແລ້ວ ເກີດຂຶ້ນຈິງໃນປະເທດເຮົາບໍ່ໄດ້ຢາກໃຫ້ທັງໝົດແຕ່ຢາກໃຫ້ສຶກສາ ແລະ ຕັ້ງຄຳຖາມວ່າທີ່ຜ່ານມາມັນເປັນແບບນີ້ແທ້ບໍ່ ເງິນທີ່ລັດຄວາມຄຸມ ເງິນປະລິມານບໍ່ຈຳກັດ ການໃຊ້ກົດໝາຍແບບບັງຄັບ. ຖ້າຄອບຄົວຫຼືຄົນໃກ້ໂຕທີ່ຍູ່ໃນຊ່ວງເຫດການນັ້ນແຕ່ຕັດສິນໃຈຜິດພາດທີ່ບໍ່ປ່ຽນເຈ້ຍເປັນສິນສັບ. ນີ້ແມ່ນໂອກາດທີ່ຈະແກ້ໄຂຂໍ້ຜິດພາດນັ້ນໂດຍຫັນມາສຶກສາເງິນແທ້ຈິງແລ້ວແມ່ນຍັງກັນແທ້ ເວລາມີຄ່າສຶກສາບິດຄອຍ.

fiatcurrency #bitcoin #gold #history #paymentsolutions #laokip #laostr

@ 04c915da:3dfbecc9

Capitalism is the most effective system for scaling innovation. The pursuit of profit is an incredibly powerful human incentive. Most major improvements to human society and quality of life have resulted from this base incentive. Market competition often results in the best outcomes for all.

That said, some projects can never be monetized. They are open in nature and a business model would centralize control. Open protocols like bitcoin and nostr are not owned by anyone and if they were it would destroy the key value propositions they provide. No single entity can or should control their use. Anyone can build on them without permission.

As a result, open protocols must depend on donation based grant funding from the people and organizations that rely on them. This model works but it is slow and uncertain, a grind where sustainability is never fully reached but rather constantly sought. As someone who has been incredibly active in the open source grant funding space, I do not think people truly appreciate how difficult it is to raise charitable money and deploy it efficiently.

Projects that can be monetized should be. Profitability is a super power. When a business can generate revenue, it taps into a self sustaining cycle. Profit fuels growth and development while providing projects independence and agency. This flywheel effect is why companies like Google, Amazon, and Apple have scaled to global dominance. The profit incentive aligns human effort with efficiency. Businesses must innovate, cut waste, and deliver value to survive.

Contrast this with non monetized projects. Without profit, they lean on external support, which can dry up or shift with donor priorities. A profit driven model, on the other hand, is inherently leaner and more adaptable. It is not charity but survival. When survival is tied to delivering what people want, scale follows naturally.

The real magic happens when profitable, sustainable businesses are built on top of open protocols and software. Consider the many startups building on open source software stacks, such as Start9, Mempool, and Primal, offering premium services on top of the open source software they build out and maintain. Think of companies like Block or Strike, which leverage bitcoin’s open protocol to offer their services on top. These businesses amplify the open software and protocols they build on, driving adoption and improvement at a pace donations alone could never match.

When you combine open software and protocols with profit driven business the result are lean, sustainable companies that grow faster and serve more people than either could alone. Bitcoin’s network, for instance, benefits from businesses that profit off its existence, while nostr will expand as developers monetize apps built on the protocol.

Capitalism scales best because competition results in efficiency. Donation funded protocols and software lay the groundwork, while market driven businesses build on top. The profit incentive acts as a filter, ensuring resources flow to what works, while open systems keep the playing field accessible, empowering users and builders. Together, they create a flywheel of innovation, growth, and global benefit.

@ efe5d120:1fc51981

It’s not big government programs or powerful institutions that make a society strong. It’s something much simpler: everyday people trading and working together.

Think about the local hardware store owner. He helps his neighbors, gives people jobs, and provides useful tools. But when the government taxes him too much to fund its programs, it takes away money he could have used to hire someone or visit his family. That hurts both him and the people around him.

This happens all over. Small business owners, tradesmen, inventors and entrepreneurs are the ones who really build up a society. They create value by trading things people want, and both sides benefit. Free trade gives people more choices and helps them live better lives.

But from a young age, we’re told to obey authority without question. We’re taught that without rulers, there would be chaos. But what if that’s not true?

Look around the world: even when governments try to control trade, people still find ways to work together and exchange goods. It’s natural. People want to cooperate and help each other—especially when they’re free to do so.

Here’s the hard truth: if someone can take your money, control your property, and punish you without your agreement, isn’t that a kind of control—or even servitude?

True prosperity doesn’t come from the top down. It comes from people freely working together—farmers, builders, cooks, coders—offering their skills to others who need them.

When trade is free, people do well. When it’s blocked by too many rules or taxes, everyone loses—especially the ones who need help the most.

The answer isn’t more laws or more control. It’s more freedom. Next time someone says we need more government to fix things, ask yourself: wouldn’t free people solve those problems better on their own?

Real civilization isn’t about being ruled. It’s about choosing to work together, trade fairly, and respect each other’s rights. That’s not chaos—that’s freedom.

@ e6817453:b0ac3c39

The temporal semantics and temporal and time-aware knowledge graphs. We have different memory models for artificial intelligence agents. We all try to mimic somehow how the brain works, or at least how the declarative memory of the brain works. We have the split of episodic memory and semantic memory. And we also have a lot of theories, right?

Declarative Memory of the Human Brain

How is the semantic memory formed? We all know that our brain stores semantic memory quite close to the concept we have with the personal knowledge graphs, that it’s connected entities. They form a connection with each other and all those things. So far, so good. And actually, then we have a lot of concepts, how the episodic memory and our experiences gets transmitted to the semantic:

• hippocampus indexing and retrieval
• sanitization of episodic memories
• episodic-semantic shift theory

They all give a different perspective on how different parts of declarative memory cooperate.

We know that episodic memories get semanticized over time. You have semantic knowledge without the notion of time, and probably, your episodic memory is just decayed.

But, you know, it’s still an open question:

do we want to mimic an AI agent’s memory as a human brain memory, or do we want to create something different?

It’s an open question to which we have no good answer. And if you go to the theory of neuroscience and check how episodic and semantic memory interfere, you will still find a lot of theories, yeah?

Some of them say that you have the hippocampus that keeps the indexes of the memory. Some others will say that you semantic the episodic memory. Some others say that you have some separate process that digests the episodic and experience to the semantics. But all of them agree on the plan that it’s operationally two separate areas of memories and even two separate regions of brain, and the semantic, it’s more, let’s say, protected.

So it’s harder to forget the semantical facts than the episodes and everything. And what I’m thinking about for a long time, it’s this, you know, the semantic memory.

Temporal Semantics

It’s memory about the facts, but you somehow mix the time information with the semantics. I already described a lot of things, including how we could combine time with knowledge graphs and how people do it.

There are multiple ways we could persist such information, but we all hit the wall because the complexity of time and the semantics of time are highly complex concepts.

Time in a Semantic context is not a timestamp.

What I mean is that when you have a fact, and you just mentioned that I was there at this particular moment, like, I don’t know, 15:40 on Monday, it’s already awake because we don’t know which Monday, right? So you need to give the exact date, but usually, you do not have experiences like that.

You do not record your memories like that, except you do the journaling and all of the things. So, usually, you have no direct time references. What I mean is that you could say that I was there and it was some event, blah, blah, blah.

Somehow, we form a chain of events that connect with each other and maybe will be connected to some period of time if we are lucky enough. This means that we could not easily represent temporal-aware information as just a timestamp or validity and all of the things.

For sure, the validity of the knowledge graphs (simple quintuple with start and end dates)is a big topic, and it could solve a lot of things. It could solve a lot of the time cases. It’s super simple because you give the end and start dates, and you are done, but it does not answer facts that have a relative time or time information in facts . It could solve many use cases but struggle with facts in an indirect temporal context. I like the simplicity of this idea. But the problem of this approach that in most cases, we simply don’t have these timestamps. We don’t have the timestamp where this information starts and ends. And it’s not modeling many events in our life, especially if you have the processes or ongoing activities or recurrent events.

I’m more about thinking about the time of semantics, where you have a time model as a hybrid clock or some global clock that does the partial ordering of the events. It’s mean that you have the chain of the experiences and you have the chain of the facts that have the different time contexts.

We could deduct the time from this chain of the events. But it’s a big, big topic for the research. But what I want to achieve, actually, it’s not separation on episodic and semantic memory. It’s having something in between.

Blockchain of connected events and facts

I call it temporal-aware semantics or time-aware knowledge graphs, where we could encode the semantic fact together with the time component.I doubt that time should be the simple timestamp or the region of the two timestamps. For me, it is more a chain for facts that have a partial order and form a blockchain like a database or a partially ordered Acyclic graph of facts that are temporally connected. We could have some notion of time that is understandable to the agent and a model that allows us to order the events and focus on what the agent knows and how to order this time knowledge and create the chains of the events.

Time anchors

We may have a particular time in the chain that allows us to arrange a more concrete time for the rest of the events. But it’s still an open topic for research. The temporal semantics gets split into a couple of domains. One domain is how to add time to the knowledge graphs. We already have many different solutions. I described them in my previous articles.

Another domain is the agent's memory and how the memory of the artificial intelligence treats the time. This one, it’s much more complex. Because here, we could not operate with the simple timestamps. We need to have the representation of time that are understandable by model and understandable by the agent that will work with this model. And this one, it’s way bigger topic for the research.”

@ 06b7819d:d1d8327c

Understanding Figure and Ground: How We Perceive the World

The concept of “figure and ground” originates from Gestalt psychology but takes on profound implications in Marshall McLuhan’s media theory. At its core, figure and ground describe the relationship between what we focus on (the “figure”) and the larger context that shapes and influences it (the “ground”). Together, they illustrate how perception is shaped not only by what we pay attention to, but by what we overlook.

Figure and Ground in Perception

Imagine looking at a photo of a tree in a forest. The tree might stand out as the figure—it’s what your attention is drawn to. However, the forest, the sky, and even the light conditions around the tree create the ground. These background elements are not immediately in focus, but they are essential to understanding the tree’s existence and meaning within its environment.

Our minds are naturally inclined to separate figure from ground, but this process often distorts our perception. By focusing on one aspect, we tend to neglect the broader context that gives it meaning. This principle applies not just to visual perception but also to the way we experience media, technology, and culture.

McLuhan’s Take: Media as Ground

For McLuhan, media and technology are the “ground” upon which all human activity takes place. We often fixate on the “figure” of a medium—the content it delivers—without recognizing the ground, which is the medium itself and its pervasive influence. For example, we might focus on the latest viral video (the figure) without reflecting on how platforms like TikTok (the ground) shape attention spans, social behaviors, and even our cultural norms.

McLuhan famously argued that “the medium is the message,” meaning the medium’s structure and characteristics influence society far more deeply than the specific content it carries. The figure (content) distracts us from examining the ground (medium), which often operates invisibly.

Figure and Ground in Daily Life

Consider smartphones. The apps, messages, and videos we interact with daily are the figures. The ground is the smartphone itself—a device that transforms communication, alters social dynamics, and restructures how we manage time and attention. Focusing solely on what’s displayed on the screen blinds us to the ways the device reshapes our lives.

Rebalancing Perception

To truly understand the impact of media and technology, McLuhan urged us to become aware of the ground. By stepping back and observing how the environment shapes the figure, we can better grasp the larger systems at work. This requires a shift in perspective: instead of asking “What does this content mean?” we might ask “How does this medium affect the way I think, behave, or relate to others?”

Understanding figure and ground helps us see the world more holistically, uncovering hidden dynamics that shape perception and culture. It’s a reminder that what we take for granted—what fades into the background—is often the most transformative force of all.

@ 06b7819d:d1d8327c

Hanlon’s Razor is a philosophical principle or adage that states:

“Never attribute to malice that which is adequately explained by stupidity.”

It suggests that when trying to understand someone’s actions, it is often more reasonable to assume a lack of knowledge, competence, or foresight rather than intentional harm or ill will. The principle encourages people to avoid jumping to conclusions about malicious intent and instead consider simpler, more mundane explanations.

Hanlon’s Razor is often used in problem-solving, interpersonal interactions, and organizational settings to promote understanding and reduce conflict. It’s part of a broader family of “razors,” which are rules of thumb used to simplify decision-making.

@ 57d1a264:69f1fee1

Past week summary

From a Self Custody for Organizations perspective, after analyzing the existing protocols (Cerberus, 10xSecurityBTCguide and Glacier) and reading a bunch of relates articles and guides, have wrapped to the conclusion that this format it is good to have as reference. However, something else is needed. For example, a summary or a map of the whole process to provide an overview, plus a way to deliver all the information and the multy-process in a more enjoyable way. Not a job for this hackathon, but with the right collaborations I assume it's possible to: - build something that might introduce a bit more quests and gamification - provide a learning environment (with testnet funds) could also be crucial on educating those unfamiliar with bitcoin onchain dynamics.

Have been learning more and playing around practicing best accessibility practices and how it could be applied to a desktop software like Bitcoin Safe. Thanks to @johnjherzog for providing a screen recording of his first experience and @jasonb for suggesting the tools to be used. (in this case tested/testing on Windows with the Accessibility Insights app). Some insight shared have been also applied to the website, running a full accessibility check (under WCAG 2.2 ADA, and Section 508 standards) with 4 different plugins and two online tools. I recognize that not all of them works and analyze the same parameters, indeed they complement each other providing a more accurate review.

For Bitcoin Safe interface improvements, many suggestions have been shared with @andreasgriffin , including: - a new iconset, including a micro-set to display the number of confirmed blocs for each transaction - a redesigned History/Dashboard - small refinements like adding missing columns on the tables - allow the user to select which columns to be displayed - sorting of unconfirmed transactions - Defining a new style for design elements like mempool blocks and quick receive boxes You can find below some screenshots with my proposals that hopefully will be included in the next release.

Last achievement this week was to prepare the website https://Safe.BTC.pub, the container where all the outcomes f this experiment will be published. You can have a look, just consider it still WIP. Branding for the project has also been finalized and available in this penpot file https://design.penpot.app/#/workspace?team-id=cec80257-5021-8137-8005-eab60c043dd6&project-id=cec80257-5021-8137-8005-eab60c043dd8&file-id=95aea877-d515-80ac-8006-23a251886db3&page-id=132f519a-39f4-80db-8006-2a41c364a545

What's for next week

After spending most of the time learning and reading material, this coming week will be focused on deliverables. The goal as planned will be to provide: - Finalized Safe₿its brand and improve overall desktop app experience, including categorization of transactions and addresses - An accessibility report or guide for Bitcoin Safe and support to implement best practices - A first draft of the Self-Custody for Organizations guide/framework/protocol, ideally delivered through the website http://Safe.BTC.pub in written format, but also as FlowChart to help have an overview of the whole resources needed and the process itself. This will clearly define preparations and tools/hardwares needed to successfully complete the process.

To learn more about the project, you can visit: Designathon website: https://event.bitcoin.design/#project-recj4SVNLLkuWHpKq Discord channel: https://discord.com/channels/903125802726596648/1369200271632236574 Previous SN posts: https://stacker.news/items/974489/r/DeSign_r and https://stacker.news/items/974488/r/DeSign_r

Stay tuned, more will be happening this coming week

originally posted at https://stacker.news/items/977190

@ a39d19ec:3d88f61e

A state-controlled money supply can influence the development of socialist policies and practices in various ways. Although the relationship is not deterministic, state control over the money supply can contribute to a larger role of the state in the economy and facilitate the implementation of socialist ideals.

Fiscal Policy Capabilities

When the state manages the money supply, it gains the ability to implement fiscal policies that can lead to an expansion of social programs and welfare initiatives. Funding these programs by creating money can enhance the state's influence over the economy and move it closer to a socialist model. The Soviet Union, for instance, had a centralized banking system that enabled the state to fund massive industrialization and social programs, significantly expanding the state's role in the economy.

Wealth Redistribution

Controlling the money supply can also allow the state to influence economic inequality through monetary policies, effectively redistributing wealth and reducing income disparities. By implementing low-interest loans or providing financial assistance to disadvantaged groups, the state can narrow the wealth gap and promote social equality, as seen in many European welfare states.

Central Planning

A state-controlled money supply can contribute to increased central planning, as the state gains more influence over the economy. Central banks, which are state-owned or heavily influenced by the state, play a crucial role in managing the money supply and facilitating central planning. This aligns with socialist principles that advocate for a planned economy where resources are allocated according to social needs rather than market forces.

Incentives for Staff

Staff members working in state institutions responsible for managing the money supply have various incentives to keep the system going. These incentives include job security, professional expertise and reputation, political alignment, regulatory capture, institutional inertia, and legal and administrative barriers. While these factors can differ among individuals, they can collectively contribute to the persistence of a state-controlled money supply system.

In conclusion, a state-controlled money supply can facilitate the development of socialist policies and practices by enabling fiscal policies, wealth redistribution, and central planning. The staff responsible for managing the money supply have diverse incentives to maintain the system, further ensuring its continuation. However, it is essential to note that many factors influence the trajectory of an economic system, and the relationship between state control over the money supply and socialism is not inevitable.

@ 5f078e90:b2bacaa3

Sloth test

Just a test

Please ignore.

In the lush canopy of a rainforest, Sid the sloth hung lazily from a branch, his mossy fur blending with the leaves. Each day, he nibbled on tender shoots, moving so slowly that ants marched faster. One morning, a curious toucan dropped a shiny berry. Sid, intrigued, reached for it over hours, only to find it was a pebble! Chuckling, he napped, dreaming of sweeter finds. His unhurried life taught the jungle: patience brings its own rewards. (376 characters)

@ a39d19ec:3d88f61e

This week's functional 3d print is the "Dino Clip".

Dino Clip

I printed it some years ago for my son, so he would have his own clip for cereal bags.

Now it is used to hold a bag of dog food close.

The design by "Sneaks" is a so called "print in place". This means that the whole clip with moving parts is printed in one part, without the need for assembly after the print. The clip is very strong, and I would print it again if I need a "heavy duty" clip for more rigid or big bags. Link to the file at Printables

@ 57d1a264:69f1fee1

Past week summary

From a Self Custody for Organizations perspective, after analyzing the existing protocols (Cerberus, 10xSecurityBTCguide and Glacier) and reading a bunch of relates articles and guides, have wrapped to the conclusion that this format it is good to have as reference. However, something else is needed. For example, a summary or a map of the whole process to provide an overview, plus a way to deliver all the information and the multy-process in a more enjoyable way. Not a job for this hackathon, but with the right collaborations I assume it's possible to: - build something that might introduce a bit more quests and gamification - provide a learning environment (with testnet funds) could also be crucial on educating those unfamiliar with bitcoin onchain dynamics.

Have been learning more and playing around practicing best accessibility practices and how it could be applied to a desktop software like Bitcoin Safe. Thanks to @johnjherzog for providing a screen recording of his first experience and @jasonbohio for suggesting the tools to be used. (in this case tested/testing on Windows with the Accessibility Insights app). Some insight shared have been also applied to the website, running a full accessibility check (under WCAG 2.2 ADA, and Section 508 standards) with 4 different plugins and two online tools. I recognize that not all of them works and analyze the same parameters, indeed they complement each other providing a more accurate review.

For Bitcoin Safe interface improvements, many suggestions have been shared with @andreasgriffin , including: - a new iconset, including a micro-set to display the number of confirmed blocs for each transaction - a redesigned History/Dashboard - small refinements like adding missing columns on the tables - allow the user to select which columns to be displayed - sorting of unconfirmed transactions - Defining a new style for design elements like mempool blocks and quick receive boxes You can find below some screenshots with my proposals that hopefully will be included in the next release.

Last achievement this week was to prepare the website https://Safe.BTC.pub, the container where all the outcomes f this experiment will be published. You can have a look, just consider it still WIP. Branding for the project has also been finalized and available in this penpot file https://design.penpot.app/#/workspace?team-id=cec80257-5021-8137-8005-eab60c043dd6&project-id=cec80257-5021-8137-8005-eab60c043dd8&file-id=95aea877-d515-80ac-8006-23a251886db3&page-id=132f519a-39f4-80db-8006-2a41c364a545

What's for next week

After spending most of the time learning and reading material, this coming week will be focused on deliverables. The goal as planned will be to provide: - Finalized Safe₿its brand and improve overall desktop app experience, including categorization of transactions and addresses - An accessibility report or guide for Bitcoin Safe and support to implement best practices - A first draft of the Self-Custody for Organizations guide/framework/protocol, ideally delivered through the website http://Safe.BTC.pub in written format, but also as FlowChart to help have an overview of the whole resources needed and the process itself. This will clearly define preparations and tools/hardwares needed to successfully complete the process.

To learn more about the project, you can visit: Designathon website: https://event.bitcoin.design/#project-recj4SVNLLkuWHpKq Discord channel: https://discord.com/channels/903125802726596648/1369200271632236574 Previous SN posts: https://stacker.news/items/974489/r/DeSign_r and https://stacker.news/items/974488/r/DeSign_r

Stay tuned, more will be happening this coming week

originally posted at https://stacker.news/items/977180

@ 8d34bd24:414be32b

In case you haven’t noticed, I’ve spent a lot of time reading Revelation lately. Last night, I was reading the letters to the seven churches in Revelation. It got me thinking about the church or churches today.

“To the angel of the church in Laodicea write:

The Amen, the faithful and true Witness, the Beginning of the creation of God, says this:

‘I know your deeds, that you are neither cold nor hot; I wish that you were cold or hot. So because you are lukewarm, and neither hot nor cold, I will spit you out of My mouth. Because you say, “I am rich, and have become wealthy, and have need of nothing,” and you do not know that you are wretched and miserable and poor and blind and naked, I advise you to buy from Me gold refined by fire so that you may become rich, and white garments so that you may clothe yourself, and that the shame of your nakedness will not be revealed; and eye salve to anoint your eyes so that you may see. Those whom I love, I reprove and discipline; therefore be zealous and repent. Behold, I stand at the door and knock; if anyone hears My voice and opens the door, I will come in to him and will dine with him, and he with Me. He who overcomes, I will grant to him to sit down with Me on My throne, as I also overcame and sat down with My Father on His throne. He who has an ear, let him hear what the Spirit says to the churches.’ ” (Revelation 3:14-22)

Sadly the church in Revelation, that the majority of American churches most closely resembles, is the church in Laodicea. (FYI, like most large generalizations, there are exceptions, of course)

Last I heard, America still had the most churches, Christian book stores, Christian radio stations, etc., but is America still the most Christian? I strongly have my doubts. Most modern, American churches seem to be more about socialization, entertainment, and making people feel good about themselves, even if what they really need is repentance. I even have doubts that many institutions that call themselves churches are churches (as defined by God) or have any true believers as members.

‘I know your tribulation and your poverty (but you are rich), and the blasphemy by those who say they are Jews and are not, but are a synagogue of Satan. (Revelation 2:9)

Although this verse is referring to those who call themselves Jews and are not, I think we are seeing those who say they are Christians and are not, but are a church of Satan. Of course this is definitely not true of all churches.

The most common thing I see, though, is the lukewarm churches, where members show up on Sunday, check that off their list, and then go on living life like everyone else around them. Surveys show that rates of divorce, abortion, and other anti-biblical choices are as common among self-proclaimed Christians as among those who claim no faith.

These churches hear the Bible, but don’t hunger for the Word of God. They listen to God’s commands, but don’t live them out in their daily lives. Just like the Pharisees, they have the trappings of religion, but not the spirit of God. Worship is singing along with a rock band rather than falling on their face in awe of their Creator.

Just like what was predicted:

For the time will come when they will not endure sound doctrine; but wanting to have their ears tickled, they will accumulate for themselves teachers in accordance to their own desires, and will turn away their ears from the truth and will turn aside to myths. (2 Timothy 4:3-4) {emphasis mine}

Church services become self-help services. The word of God gets subverted by culture and “science.” Some church leaders intentionally ignore certain passages and take others out of context, so they will be popular and have growth. Sadly a growth in “butts in seats” is not what matters, if it isn’t accompanied by a growth in trust in Jesus and a growth in discipleship. These churches give a lot of people the false hope that they will be going to Heaven when they die. They will be shocked to hear “I never knew you.”

“Not everyone who says to Me, ‘Lord, Lord,’ will enter the kingdom of heaven, but he who does the will of My Father who is in heaven will enter. Many will say to Me on that day, ‘Lord, Lord, did we not prophesy in Your name, and in Your name cast out demons, and in Your name perform many miracles?’ And then I will declare to them, ‘I never knew you; depart from Me, you who practice lawlessness.’ (Matthew 7:21-23) {emphasis mine}

Like the church in Laodicea, the church in America is rich in material wealth compared to others. Like the church in Laodicea, the American church relies too much on their wealth and freedom instead of putting their faith in God through good times and bad. Like the church in Laodicea, the American church has the trappings of faith without the reality of faith as shown by works (lifestyle). Most unfortunately, like the church in Laodicea, the American church is full of people who will almost certainly hear “I never knew you.”

What does Jesus say the solution is? “Be zealous and repent.”

Nothing in life should be more important to us than our relationship with our Creator and Savior. If we’ve relegated Him to the margins, we need to repent. We need to turn back to God and seek Him first.

Do not worry then, saying, ‘What will we eat?’ or ‘What will we drink?’ or ‘What will we wear for clothing?’ For the Gentiles eagerly seek all these things; for your heavenly Father knows that you need all these things. But seek first His kingdom and His righteousness, and all these things will be added to you. (Matthew 6:31-33) {emphasis mine}

Even if we aren’t actively doing evil, it is so easy to get distracted by life and not include God in our lives. Instead of God being just someone who we worship for and hour or two on Sunday morning and pray to at meals, He should be our guiding force for all things in our lives. He should be our focus and guiding light. We should long for His word and study the Bible daily. We should seek His guidance in decisions big and small. We should interact with others with the same goals and love as Jesus did when He was living a mortal life on earth. Our lives should look different.

I love what was said about Jesus’s disciples:

Now as they observed the confidence of Peter and John and understood that they were uneducated and untrained men, they were amazed, and began to recognize them as having been with Jesus. (Acts 4:13) {emphasis mine}

I want everyone who meets me to see Jesus in me and recognize that I have been with Jesus. Do you? Or do you want to blend in and look like those around you because that is easier and more comfortable?

Now for this very reason also, applying all diligence, in your faith supply moral excellence, and in your moral excellence, knowledge, and in your knowledge, self-control, and in your self-control, perseverance, and in your perseverance, godliness, and in your godliness, brotherly kindness, and in your brotherly kindness, love. For if these qualities are yours and are increasing, they render you neither useless nor unfruitful in the true knowledge of our Lord Jesus Christ. For he who lacks these qualities is blind or short-sighted, having forgotten his purification from his former sins. Therefore, brethren, be all the more diligent to make certain about His calling and choosing you; for as long as you practice these things, you will never stumble; for in this way the entrance into the eternal kingdom of our Lord and Savior Jesus Christ will be abundantly supplied to you. (2 Peter 1:5-11) {emphasis mine}

Peter gives some good advice on becoming more Christ-like and fruitful. He tells us to apply all diligence in:

• faith

• moral excellence

• perseverance

• godliness

• brotherly kindness

• love

He tells us that lacking these traits is “blind or short-sighted” and leads to us being unfruitful and useless. I don’t know about you, but I do NOT want Jesus to think of me as useless.

May the God of heaven increase your faith, grow your desire to know God through prayer and study of His Word, and help you to live the life you were designed to live. May he help you to avoid worldly distractions and to have the strength to stand firm on the foundation of Jesus especially when this means you have to stand up against the crowd. May you be fruitful and useful all of the days of your life.

Trust Jesus.

@ 30611079:ecac89f8

Um Shell Script simples para facilitar backups bip39 baseados nos números das palavras, coloque o script na mesma pasta que o arquivo contendo as palavras, passe o idioma no 1º argumento (Ex. english) e as palavras em sequência, a saída serão os números correspondentes as palavras passadas no idioma selecionado

```

!/bin/bash

Enter in correct diretory

if [ ${0%/} == $0 ]; then cd ${PWD} elif [ -e ${PWD}/${0%/} ]; then cd ${PWD}/${0%/} else cd ${0%/} fi

file="$1.txt"

index=0 numbers=() for word in "$@"; do while IFS= read -r linha; do if [[ "$linha" == "$word" ]]; then numbers+=($index) break fi ((index++)) done < "$file" index=0 done echo "${numbers[@]}" ```

Fiz para aprender um pouco de Shell Script, podem dizer se está bom e se dá para melhorar algo?

Também fiz outro que faz o processo reverso

@ 79008e78:dfac9395

Keys and Addresses

อลิซต้องการจ่ายเงินให้กับบ๊อบแต่โหนดของบิตคอยน์ในระบบหลายพันโหนดจะตรวจสอบธุรกรรมของเธอ โดยไม่รู้ว่าอลิซหรือบ๊อบเป็นใคร ละเราต้องการรักษาความเป็นส่วนตัวของพวกเขาไว้เช่นนี้ อลิซจำเป็นต้องสื่อสารว่าบ๊อบควรได้รับบิตคอยน์บางส่วนของเธอโดยไม่เชื่อมโยงแง่มุมใด ๆ ของธุรกรรมนั้นกับตัวตนในโลกจริงของบ๊อบ หรือกับการชำระเงินด้วยบิตคอยน์ครั้งอื่น ๆ ที่บ๊อบได้รับ อลิซใช้ต้องทำให้มั่นใจว่ามีเพียแค่บ๊อบเท่านั้นที่สามารถใช้จ่ายบิตคอยน์ที่เขาได้รับต่อไปได้

ในบิตคอยน์ไวท์เปเปอร์ได้อธิบายถึงแผนการที่เรียบง่ายมากสำหรับการบรรลุเป้าหมายเหล่านั้น ดังที่แสดงในรูปด้านล่างนี้

ตัวของผู้รับอย่างบ๊อบเองจะได้รับบิตคอยน์ไปยัง public key ของเขาที่ถูกลงนามโดยผู้จ่ายอย่างอลิซ โดยบิตคอยน์ที่อลิซนำมาจ่ายนั้นก็ได้รับมาจากที่ใครสักคนส่งมาที่ public key ของเธอ และเธอก็ใช้ private key ของเธอในการลงนามเพื่อสร้างลายเซ็นของเธอและโหนดต่าง ๆ ของบิตคอยน์จะทำการตรวจสอบว่าลายเซ็นของอลิซผูกมัดกับเอาต์พุตของฟังก์ชันแฮชซึ่งตัวมันเองผูกมัดกับ public key ของบ๊อบและรายละเอียดธุรกรรมอื่นๆ

ในบทนี้เราจะพิจารณาpublic key private key Digital signatrue และ hash function จากนั้นใช้ทั้งหมดนี้ร่วมกันเพื่ออธิบาย address ที่ใช้โดยซอฟต์แวร์บิตคอยน์สมัยใหม่

Public Key Cryptography (การเข้ารหัสของ public key)

ระบบเข้ารหัสของ public key ถูกคิดค้นขึ้นในทศวรรษ 1970 มาจากรากฐานทางคณิตศาสตร์สำหรับความปลอดภัยของคอมพิวเตอร์และข้อมูลสมัยใหม่

นับตั้งแต่การคิดค้นระบบเข้ารหัส public key ได้มีการค้นพบฟังก์ชันทางคณิตศาสตร์ที่เหมาะสมหลายอย่าง เช่น การยกกำลังของจำนวนเฉพาะและการคูณของเส้นโค้งวงรี โดยฟังก์ชันทางคณิตศาสตร์เหล่านี้สามารถคำนวณได้ง่ายในทิศทางหนึ่ง แต่เป็นไปไม่ได้ที่จะคำนวณในทิศทางตรงกันข้ามโดยใช้คอมพิวเตอร์และอัลกอริทึมที่มีอยู่ในปัจจุบัน จากฟังก์ชันทางคณิตศาสตร์เหล่านี้ การเข้ารหัสลับช่วยให้สามารถสร้างลายเซ็นดิจิทัลที่ไม่สามารถปลอมแปลงได้และบิตคอยน์ได้ใช้การบวกและการคูณของเส้นโค้งวงรีเป็นพื้นฐานสำหรับการเข้ารหัสลับของมัน

ในบิตคอยน์ เราสามารถใช้ระบบเข้ารหัส public key เพื่อสร้างคู่กุญแจที่ควบคุมการเข้าถึงบิตคอยน์ คู่กุญแจประกอบด้วย private key และ public key ที่ได้มาจาก private key public keyใช้สำหรับรับเงิน และ private key ใช้สำหรับลงนามในธุรกรรมเพื่อใช้จ่ายเงิน

ความสัมพันธ์ทางคณิตศาสตร์ระหว่าง public key และ private key ที่ช่วยให้ private key สามารถใช้สร้างลายเซ็นบนข้อความได้ ลายเซ็นเหล่านี้สามารถตรวจสอบความถูกต้องกับ public key ได้โดยไม่เปิดเผย private key

TIP: ในการใช้งานซอฟแวร์กระเป๋าเงินบิตคอยน์บสงอัน จะทำการเก็บ private key และ public key ถูกเก็บไว้ด้วยกันในรูปแบบคู่กุญแจเพื่อความสะดวก แต่อย่างไรก็ตาม public key สามารถคำนวณได้จาก private key ดังนั้นการเก็บเพียง private key เท่านั้นก็เป็นไปได้เช่นกัน

bitcoin wallet มักจะทำการรวบรวมคู่กุญแต่ละคู่ ซึ่งจะประกอบไปด้วย private key และ public key โดย private key จะเป็นตัวเลขที่ถูกสุ่มเลือกขึ้นมา และเราขะใช้เส้นโค้งวงรี ซึ่งเป็นฟังก์ชันการเข้ารหัสทางเดียว เพื่อสร้าง public key ขึ้นมา

ทำไมจึงใช้การเข้ารหัสแบบอสมมาตร

ทำไมการเข้ารหัสแบบอสมมาตรจึงถูกใช้บิตคอยน์? มันไม่ได้ถูกใช้เพื่อ "เข้ารหัส" (ทำให้เป็นความลับ) ธุรกรรม แต่คุณสมบัติที่มีประโยชน์ของการเข้ารหัสแบบอสมมาตรคือความสามารถในการสร้าง ลายเซ็นดิจิทัล private key สามารถนำไปใช้กับธุรกรรมเพื่อสร้างลายเซ็นเชิงตัวเลข ลายเซ็นนี้สามารถสร้างได้เฉพาะโดยผู้ที่มีความเกี่ยวข้องกับ private key เท่านั้น แต่อย่างไรก็ตาม ทุกคนที่สามารถเข้าถึง public key และธุรกรรมสามารถใช้สิ่งเหล่านี้เพื่อ ตรวจสอบ ลายเซ็นได้ คุณสมบัติที่มีประโยชน์นี้ของการเข้ารหัสแบบอสมมาตรทำให้ทุกคนสามารถตรวจสอบลายเซ็นทุกรายการในทุกธุรกรรมได้ ในขณะที่มั่นใจว่าเฉพาะเจ้าของ private key เท่านั้นที่สามารถสร้างลายเซ็นที่ถูกต้องได้

Private keys

private key เป็นเพียงตัวเลขที่ถูกสุ่มขึ้น และการควบคุม private key ก็เป็นรากฐานสำคัญที่ทำให้เจ้าชองกุญแจดอกนี้สามารถควบคุมบิตคอยน์ทั้งหมดที่มีความเกี่ยวข้องกับ public key ที่คู่กัน private key นั้นใช้ในการสร้างลายเซ็นดิจิทัลที่ใช้ในการเคลื่อนย้ายบิตคอยน์ เราจำเป็นต้องเก็บ private key ให้เป็นความลับตลอดเวลา เพราะการเปิดเผยมันให้กับบุคคลอื่นนั้นก็เปรียบเสมือนกับการนำอำนาจในการควบคุมบิตคอยน์ไปให้แก่เขา นอกจากนี้ private key ยังจำเป็นต้องได้รับการสำรองข้อมูลและป้องกันจากการสูญหายโดยไม่ตั้งใจ เพราะหากเราได้ทำมันสูญหายไป จะไม่สามารถกู้คืนได้ และบิตคอยน์เหล่านั้นจะถูกปกป้องโดยกุญแจที่หายไปนั้นตลอดกาลเช่นกัน

TIP: private key ของบิตคอยน์นั้นเป็นเพียงแค่ตัวเลข คุณสามารถสร้างมันได้โดยใช้เพียงเหรียญ ดินสอ และกระดาษ โดยการโยนเหรียญเพียง 256 ครั้งจะทำให้คุณได้เลขฐานสองที่สามารถใช้เป็น private key ของบิตคอยน์ จากนั้นคุณสามารถใช้มันในการคำนวณหา public key แต่อย่างไรก็ตาม โปรดระมัดระวังเกี่ยวกับการเลือใช้วิธีการสุ่มที่ไม่สมบูรณ์ เพราะนั่นอาจลดความปลอดภัยของ private key และบิตคอยน์ที่มัมปกป้องอยู่อย่างมีนัยสำคัญ

ขั้นตอนแรกและสำคัญที่สุดในการสร้างกุญแจคือการหาแหล่งที่มาของความสุ่มที่ปลอดภัย (ซึ่งเรียกว่า เอนโทรปี) การสร้างกุญแจของบิตคอยน์นั้นเกือบเหมือนกับ "เลือกตัวเลขระหว่าง 1 และ 2^256" ซึ่งวิธีที่แน่นอนที่คุณใช้ในการเลือกตัวเลขนั้นไม่สำคัญตราบใดที่มันไม่สามารถคาดเดาหรือทำซ้ำได้ โดยปกติแล้วซอฟต์แวร์ของบิตคอยน์มักจะใช้ตัวสร้างตัวเลขสุ่มที่มีความปลอดภัยทางการเข้ารหัสเพื่อสร้างเอนโทรปี 256 บิต

สิ่งที่สำคัญในเรื่องนี้คือ private key สามารถเป็นตัวเลขใดๆ ระหว่าง 0 และ n - 1 (รวมทั้งสองค่า) โดยที่ n เป็นค่าคงที่ (n = 1.1578 × 10^77 ซึ่งน้อยกว่า 2^256 เล็กน้อย) ซึ่งกำหนดอยู่ใน elliptic curve ที่ใช้ใน Bitcoin ในการสร้างกุญแจดังกล่าว เราสุ่มเลือกเลขขนาด 256 บิตและตรวจสอบว่ามันน้อยกว่า n ในแง่ของการเขียนโปรแกรม โดยปกติแล้วสิ่งนี้ทำได้โดยการป้อนสตริงของบิตสุ่มที่ใหญ่กว่า ซึ่งรวบรวมจากแหล่งที่มาของความสุ่มที่มีความปลอดภัยทางการเข้ารหัส เข้าไปในอัลกอริทึมแฮช SHA256 ซึ่งจะสร้างค่าขนาด 256 บิตที่สามารถตีความเป็นตัวเลขได้อย่างสะดวก หากผลลัพธ์น้อยกว่า n เราจะได้กุญแจส่วนตัวที่เหมาะสม มิฉะนั้น เราก็เพียงแค่ลองอีกครั้งด้วยตัวเลขสุ่มอื่น

คำเตือน: อย่าเขียนโค้ดของคุณเองเพื่อสร้างตัวเลขสุ่ม หรือใช้ตัวสร้างตัวเลขสุ่ม "แบบง่าย" ที่มีให้ในภาษาโปรแกรมของคุณ ใช้ตัวสร้างตัวเลขสุ่มเทียมที่มีความปลอดภัยทางการเข้ารหัส (CSPRNG) จากแหล่งที่มีเอนโทรปีเพียงพอ ศึกษาเอกสารของไลบรารีตัวสร้างตัวเลขสุ่มที่คุณเลือกเพื่อให้มั่นใจว่ามีความปลอดภัยทางการเข้ารหัส การใช้งาน CSPRNG ที่ถูกต้องมีความสำคัญอย่างยิ่งต่อความปลอดภัยของกุญแจ

ต่อไปนี้คือกุญแจส่วนตัว (k) ที่สร้างขึ้นแบบสุ่มซึ่งแสดงในรูปแบบเลขฐานสิบหก (256 บิตแสดงเป็น 64 หลักเลขฐานสิบหก โดยแต่ละหลักคือ 4 บิต): 1E99423A4ED27608A15A2616A2B0E9E52CED330AC530EDCC32C8FFC6A526AEDD

TIP: จำนวนที่เป็นไปได้ของ private key ทั้งหมดนั้นมีอยู่ 2^256 เป็นตัวเลขที่ใหญ่มากจนยากจะจินตนาการได้ มันมีค่าประมาณ 10^77 (เลข 1 ตามด้วยเลข 0 อีก 77 ตัว) ในระบบเลขฐานสิบ เพื่อให้เข้าใจง่ายขึ้น ลองเปรียบเทียบกับจักรวาลที่เรามองเห็นได้ซึ่งนักวิทยาศาสตร์ประมาณการว่ามีอะตอมทั้งหมดประมาณ 10^80 อะตอม นั่นหมายความว่าช่วงค่าของกุญแจส่วนตัว Bitcoin มีขนาดใกล้เคียงกับจำนวนอะตอมทั้งหมดในจักรวาลที่เรามองเห็นได้

การอธิบายเกี่ยวกับวิทยาการเข้ารหัสแบบเส้นโค้งวงรี (Elliptic Curve Cryptography)

วิทยาการเข้ารหัสแบบเส้นโค้งวงรี (ECC) เป็นประเภทหนึ่งของการเข้ารหัสแบบอสมมาตรหรือ public key ซึ่งอาศัยหลักการของปัญหาลอการิทึมแบบไม่ต่อเนื่อง โดยแสดงออกผ่านการบวกและการคูณบนจุดต่างๆ ของเส้นโค้งวงรี

บิตคอยน์ใช้เส้นโค้งวงรีเฉพาะและชุดค่าคงที่ทางคณิตศาสตร์ ตามที่กำหนดไว้ในมาตรฐานที่เรียกว่า secp256k1 ซึ่งกำหนดโดยสถาบันมาตรฐานและเทคโนโลยีแห่งชาติ (NIST) เส้นโค้ง secp256k1 ถูกกำหนดโดยฟังก์ชันต่อไปนี้ ซึ่งสร้างเส้นโค้งวงรี: y² = (x³ + 7) บนฟิลด์จำกัด (F_p) หรือ y² mod p = (x³ + 7) mod p

โดยที่ mod p (มอดูโลจำนวนเฉพาะ p) แสดงว่าเส้นโค้งนี้อยู่บนฟิลด์จำกัดของอันดับจำนวนเฉพาะ p ซึ่งเขียนได้เป็น F_p โดย p = 2^256 – 2^32 – 2^9 – 2^8 – 2^7 – 2^6 – 2^4 – 1 ซึ่งเป็นจำนวนเฉพาะที่มีค่ามหาศาล

บิตคอยน์ใช้เส้นโค้งวงรีที่ถูกนิยามบนฟิลด์จำกัดของอันดับจำนวนเฉพาะแทนที่จะอยู่บนจำนวนจริง ทำให้มันมีลักษณะเหมือนรูปแบบของจุดที่กระจัดกระจายในสองมิติ ซึ่งทำให้ยากต่อการจินตนาการภาพ อย่างไรก็ตาม คณิตศาสตร์ที่ใช้นั้นเหมือนกับเส้นโค้งวงรีบนจำนวนจริง

ตัวอย่างเช่น การเข้ารหัสลับด้วยเส้นโค้งวงรี: การแสดงภาพเส้นโค้งวงรีบน F(p) โดยที่ p=17 แสดงเส้นโค้งวงรีเดียวกันบนฟิลด์จำกัดของอันดับจำนวนเฉพาะ 17 ที่มีขนาดเล็กกว่ามาก ซึ่งแสดงรูปแบบของจุดบนตาราง

เส้นโค้งวงรี secp256k1 ที่ใช้ในบิตคอยน์สามารถนึกถึงได้ว่าเป็นรูปแบบของจุดที่ซับซ้อนมากกว่าบนตารางที่มีขนาดใหญ่มหาศาลจนยากจะเข้าใจได้

ตัวอย่างเช่น จุด P ที่มีพิกัด (x, y) ต่อไปนี้เป็นจุดที่อยู่บนเส้นโค้ง secp256k1: P = (55066263022277343669578718895168534326250603453777594175500187360389116729240, 32670510020758816978083085130507043184471273380659243275938904335757337482424) เราสามารถใช้ Python เพื่อยืนยันว่าจุดนี้อยู่บนเส้นโค้งวงรีได้ตามตัวอย่างนี้: ตัวอย่างที่ 1: การใช้ Python เพื่อยืนยันว่าจุดนี้อยู่บนเส้นโค้งวงรี ``` Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] on linux Type "help", "copyright", "credits" or "license" for more information.

p = 115792089237316195423570985008687907853269984665640564039457584007908834671663 x = 55066263022277343669578718895168534326250603453777594175500187360389116729240 y = 32670510020758816978083085130507043184471273380659243275938904335757337482424 (x ** 3 + 7 - y**2) % p 0 ``` ผลลัพธ์เป็น 0 ซึ่งแสดงว่าจุดนี้อยู่บนเส้นโค้งวงรีจริง เพราะเมื่อแทนค่า x และ y ลงในสมการ y² = (x³ + 7) mod p แล้ว ทั้งสองด้านของสมการมีค่าเท่ากัน

ในคณิตศาสตร์ของเส้นโค้งวงรี มีจุดที่เรียกว่า "จุดที่อนันต์" (point at infinity) ซึ่งมีบทบาทคล้ายกับศูนย์ในการบวก บนคอมพิวเตอร์ บางครั้งจุดนี้แทนด้วย x = y = 0 (ซึ่งไม่เป็นไปตามสมการเส้นโค้งวงรี แต่เป็นกรณีพิเศษที่สามารถตรวจสอบได้ง่าย)

มีตัวดำเนินการ + ที่เรียกว่า "การบวก" ซึ่งมีคุณสมบัติคล้ายกับการบวกแบบดั้งเดิมของจำนวนจริงที่เด็กๆ เรียนในโรงเรียน เมื่อมีจุดสองจุด P1 และ P2 บนเส้นโค้งวงรี จะมีจุดที่สาม P3 = P1 + P2 ซึ่งอยู่บนเส้นโค้งวงรีเช่นกัน

ในเชิงเรขาคณิต จุดที่สาม P3 นี้คำนวณได้โดยการลากเส้นระหว่าง P1 และ P2 เส้นนี้จะตัดกับเส้นโค้งวงรีที่จุดเพิ่มเติมอีกหนึ่งจุดพอดี เรียกจุดนี้ว่า P3' = (x, y) จากนั้นให้สะท้อนกับแกน x เพื่อได้ P3 = (x, -y)

มีกรณีพิเศษบางกรณีที่อธิบายความจำเป็นของ "จุดที่อนันต์":

1. ถ้า P1 และ P2 เป็นจุดเดียวกัน เส้น "ระหว่าง" P1 และ P2 ควรขยายเป็นเส้นสัมผัสกับเส้นโค้ง ณ จุด P1 นี้ เส้นสัมผัสนี้จะตัดกับเส้นโค้งที่จุดใหม่อีกหนึ่งจุดพอดี คุณสามารถใช้เทคนิคจากแคลคูลัสเพื่อหาความชันของเส้นสัมผัส เทคนิคเหล่านี้ใช้ได้อย่างน่าแปลกใจ แม้ว่าเราจะจำกัดความสนใจไว้ที่จุดบนเส้นโค้งที่มีพิกัดเป็นจำนวนเต็มเท่านั้น!
2. ในบางกรณี (เช่น ถ้า P1 และ P2 มีค่า x เดียวกันแต่ค่า y ต่างกัน) เส้นสัมผัสจะตั้งฉากพอดี ซึ่งในกรณีนี้ P3 = "จุดที่อนันต์"
3. ถ้า P1 เป็น "จุดที่อนันต์" แล้ว P1 + P2 = P2 ในทำนองเดียวกัน ถ้า P2 เป็นจุดที่อนันต์ แล้ว P1 + P2 = P1 นี่แสดงให้เห็นว่าจุดที่อนันต์มีบทบาทเป็นศูนย์

การบวกนี้มีคุณสมบัติเชิงสมาคม (associative) ซึ่งหมายความว่า (A + B) + C = A + (B + C) นั่นหมายความว่าเราสามารถเขียน A + B + C โดยไม่ต้องมีวงเล็บและไม่มีความกำกวม

เมื่อเรานิยามการบวกแล้ว เราสามารถนิยามการคูณในแบบมาตรฐานที่ต่อยอดจากการบวก สำหรับจุด P บนเส้นโค้งวงรี ถ้า k เป็นจำนวนเต็มบวก แล้ว kP = P + P + P + … + P (k ครั้ง) โปรดทราบว่า k บางครั้งถูกเรียกว่า "เลขชี้กำลัง"

Public Keys

ในระบบคริปโตกราฟีแบบเส้นโค้งวงรี (Elliptic Curve Cryptography) public key ถูกคำนวณจาก private key โดยใช้การคูณเส้นโค้งวงรี ซึ่งเป็นกระบวนการที่ไม่สามารถย้อนกลับได้:

K = k × G

โดยที่:

• k คือ private key
• G คือจุดคงที่ที่เรียกว่า จุดกำเนิด (generator point)
• K คือ public key

การดำเนินการย้อนกลับ ที่เรียกว่า "การหาลอการิทึมแบบไม่ต่อเนื่อง" (finding the discrete logarithm) - คือการคำนวณหา k เมื่อรู้ค่า K - เป็นสิ่งที่ยากมากเทียบเท่ากับการลองค่า k ทุกค่าที่เป็นไปได้ (วิธีการแบบ brute-force)

ความยากของการย้อนกลับนี้คือหลักการความปลอดภัยหลักของระบบ ECC ที่ใช้ในบิตคอยน์ ซึ่งทำให้สามารถเผยแพร่ public key ได้อย่างปลอดภัย โดยที่ไม่ต้องกังวลว่าจะมีใครสามารถคำนวณย้อนกลับเพื่อหา private key ได้

TIP:การคูณเส้นโค้งวงรีเป็นฟังก์ชันประเภทที่นักเข้ารหัสลับเรียกว่า “ trap door function ”:

• เป็นสิ่งที่ทำได้ง่ายในทิศทางหนึ่ง
• แต่เป็นไปไม่ได้ที่จะทำในทิศทางตรงกันข้าม

คนที่มี private key สามารถสร้าง public key ได้อย่างง่ายดาย และสามารถแบ่งปันกับโลกได้โดยรู้ว่าไม่มีใครสามารถย้อนกลับฟังก์ชันและคำนวณ private key จาก public key ได้ กลวิธีทางคณิตศาสตร์นี้กลายเป็นพื้นฐานสำหรับลายเซ็นดิจิทัลที่ปลอมแปลงไม่ได้และมีความปลอดภัย ซึ่งใช้พิสูจน์การควบคุมเงินบิตคอยน์

เริ่มต้นด้วยการใช้ private key ในรูปแบบของตัวเลขสุ่ม เราคูณมันด้วยจุดที่กำหนดไว้ล่วงหน้าบนเส้นโค้งที่เรียกว่า จุดกำเนิด (generator point) เพื่อสร้างจุดอื่นที่อยู่บนเส้นโค้งเดียวกัน ซึ่งคำตอบจะเป็น public key ที่สอดคล้องกัน จุดกำเนิดถูกกำหนดไว้เป็นส่วนหนึ่งของมาตรฐาน secp256k1 และเป็นค่าเดียวกันสำหรับกุญแจทั้งหมดในระบบบิตคอยน์

เนื่องจากจุดกำเนิด G เป็นค่าเดียวกันสำหรับผู้ใช้บิตคอยน์ทุกคน private key (k) ที่คูณกับ G จะได้ public key (K) เดียวกันเสมอ ความสัมพันธ์ระหว่าง k และ K เป็นแบบตายตัวแต่สามารถคำนวณได้ในทิศทางเดียวเท่านั้น คือจาก k ไปยัง K นี่คือเหตุผลที่ public key ของบิตคอยน์ (K) สามารถแบ่งปันกับทุกคนได้โดยไม่เปิดเผย private key (k) ของผู้ใช้

TIP: private key สามารถแปลงเป็น public key ได้ แต่ public key ไม่สามารถแปลงกลับเป็น private key ได้ เพราะคณิตศาสตร์ที่ใช้ทำงานได้เพียงทิศทางเดียวเท่านั้น

เมื่อนำการคูณเส้นโค้งวงรีมาใช้งาน เราจะนำ private key (k) ที่สร้างขึ้นก่อนหน้านี้มาคูณกับจุดกำเนิด G เพื่อหา public key (K): K = 1E99423A4ED27608A15A2616A2B0E9E52CED330AC530EDCC32C8FFC6A526AEDD × G public key (K) จะถูกกำหนดเป็นจุด K = (x, y) โดยที่: x = F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A y = 07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB เพื่อจะให้เห็นภาพของการคูณจุดด้วยจำนวนเต็มมากขึ้น เราจะใช้เส้นโค้งวงรีที่ง่ายกว่าบนจำนวนจริง (โดยหลักการทางคณิตศาสตร์ยังคงเหมือนกัน) เป้าหมายของเราคือการหาผลคูณ kG ของจุดกำเนิด G ซึ่งเทียบเท่ากับการบวก G เข้ากับตัวเอง k ครั้งติดต่อกัน

ในเส้นโค้งวงรี การบวกจุดเข้ากับตัวเองเทียบเท่ากับการลากเส้นสัมผัสที่จุดนั้นและหาว่าเส้นนั้นตัดกับเส้นโค้งอีกครั้งที่จุดใด จากนั้นจึงสะท้อนจุดนั้นบนแกน x

การเข้ารหัสลับด้วยเส้นโค้งวงรี: การแสดงภาพการคูณจุด G ด้วยจำนวนเต็ม k บนเส้นโค้งวงรี แสดงกระบวนการในการหา G, 2G, 4G เป็นการดำเนินการทางเรขาคณิตบนเส้นโค้งได้ดังนี้

TIP: ในซอฟแวร์ของบิตคอยน์ส่วนใหญ่ใช้ไลบรารีเข้ารหัสลับ libsecp256k1 เพื่อทำการคำนวณทางคณิตศาสตร์เส้นโค้งวงรี

Output and Input Scripts

แม้ว่าภาพประกอบจาก Bitcoin whitepaper ที่แสดงเรื่อง "Transaction chain" จะแสดงให้เห็นว่ามีการใช้ public key และ digital signature โดยตรง แต่ในความเป็นจริงบิตคอยน์เวอร์ชันแรกนั้นมีการส่งการชำระเงินไปยังฟิลด์ที่เรียกว่า output script และมีการใช้จ่ายบิตคอยน์เหล่านั้นโดยได้รับอนุญาตจากฟิลด์ที่เรียกว่า input script ฟิลด์เหล่านี้อนุญาตให้มีการดำเนินการเพิ่มเติมนอกเหนือจาก (หรือแทนที่) การตรวจสอบว่าลายเซ็นสอดคล้องกับ public key หรือไม่ ตัวอย่างเช่น output script สามารถมี public key สองดอกและต้องการลายเซ็นสองลายเซ็นที่สอดคล้องกันในฟิลด์ input script ที่ใช้จ่าย

ในภายหลัง ในหัวข้อ [tx_script] เราจะได้เรียนรู้เกี่ยวกับสคริปต์อย่างละเอียด สำหรับตอนนี้ สิ่งที่เราต้องเข้าใจคือ บิตคอยน์จะถูกรับเข้า output script ที่ทำหน้าที่เหมือน public key และการใช้จ่ายบิตคอยน์จะได้รับอนุญาตโดย input script ที่ทำหน้าที่เหมือนลายเซ็น

IP Addresses: The Original Address for Bitcoin (P2PK)

เราได้เห็นแล้วว่าอลิซสามารถจ่ายเงินให้บ็อบโดยการมอบบิตคอยน์บางส่วนของเธอให้กับกุญแจสาธารณะของบ็อบ แต่อลิซจะได้กุญแจสาธารณะของบ็อบมาได้อย่างไร? บ็อบอาจจะให้สำเนากุญแจแก่เธอ แต่ลองดูกุญแจสาธารณะที่เราใช้งานในตัวอย่างที่ผ่านมาอีกครั้ง: x = F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A y = 07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB

TIP จากหลาม: :สังเกตได้ว่า public key มีความยาวมาก ลองจินตนาการว่าบ็อบพยายามอ่านกุญแจนี้ให้อลิซฟังทางโทรศัพท์ คงจะยากมากที่จะอ่านและบันทึกโดยไม่มีข้อผิดพลาด

แทนที่จะป้อนกุญแจสาธารณะโดยตรง เวอร์ชันแรกของซอฟต์แวร์บิตคอยน์อนุญาตให้ผู้จ่ายเงินป้อนที่อยู่ IP ของผู้รับได้ ตามที่แสดงในหน้าจอการส่งเงินรุ่นแรกของบิตคอยน์ผ่าน The Internet Archive

คุณสมบัตินี้ถูกลบออกในภายหลัง เนื่องจากมีปัญหามากมายในการใช้ที่อยู่ IP แต่คำอธิบายสั้นๆ จะช่วยให้เราเข้าใจได้ดีขึ้นว่าทำไมคุณสมบัติบางอย่างอาจถูกเพิ่มเข้าไปในโปรโตคอลบิตคอยน์

เมื่ออลิซป้อนที่อยู่ IP ของบ็อบในบิตคอยน์เวอร์ชัน 0.1 Full node ของเธอจะทำการเชื่อมต่อกับ full node ของเขาและได้รับ public key ใหม่จากกระเป๋าสตางค์ของบ็อบที่โหนดของเขาไม่เคยให้กับใครมาก่อน การที่เป็น public key ใหม่นี้มีความสำคัญเพื่อให้แน่ใจว่าธุรกรรมต่าง ๆ ที่จ่ายให้บ็อบจะไม่สามารถถูกเชื่อมโยงเข้าด้วยกันโดยคนที่กำลังดูบล็อกเชนและสังเกตเห็นว่าธุรกรรมทั้งหมดจ่ายไปยัง public key เดียวกัน

เมื่อใช้ public key จากโหนดของอลิซซึ่งได้รับมาจากโหนดของบ็อบ กระเป๋าสตางค์ของอลิซจะสร้างเอาต์พุตธุรกรรมที่จ่ายให้กับสคริปต์เอาต์พุตดังนี้ <Bob's public key> OP_CHECKSIG ต่อมาบ็อบจะสามารถใช้จ่ายเอาต์พุตนั้นด้วยสคริปต์อินพุตที่ประกอบด้วยลายเซ็นของเขาเท่านั้น: <Bob's signature> เพื่อให้เข้าใจว่าสคริปต์อินพุตและเอาต์พุตกำลังทำอะไร คุณสามารถรวมพวกมันเข้าด้วยกัน (สคริปต์อินพุตก่อน) แล้วสังเกตว่าข้อมูลแต่ละชิ้น (แสดงในเครื่องหมาย < >) จะถูกวางไว้ที่ด้านบนสุดของรายการที่เรียกว่าสแตก (stack) เมื่อพบรหัสคำสั่ง (opcode) มันจะใช้รายการจากสแตก โดยเริ่มจากรายการบนสุด มาดูว่ามันทำงานอย่างไรโดยเริ่มจากสคริปต์ที่รวมกัน: <Bob's signature> <Bob's public key> OP_CHECKSIG

สำหรับสคริปต์นี้ ลายเซ็นของบ็อบจะถูกนำไปไว้บนสแตก จากนั้น public key ของบ็อบจะถูกวางไว้ด้านบนของลายเซ็น และบนสุดจะเป็นคำสั่ง OP_CHECKSIG ที่จะใช้องค์ประกอบสองอย่าง เริ่มจาก public key ตามด้วยลายเซ็น โดยลบพวกมันออกจากสแตก มันจะตรวจสอบว่าลายเซ็นตรงกับ public key และยืนยันฟิลด์ต่าง ๆ ในธุรกรรม ถ้าลายเซ็นถูกต้อง OP_CHECKSIG จะแทนที่ตัวเองบนสแตกด้วยค่า 1 ถ้าลายเซ็นไม่ถูกต้อง มันจะแทนที่ตัวเองด้วย 0 ถ้ามีรายการที่ไม่ใช่ศูนย์อยู่บนสุดของสแตกเมื่อสิ้นสุดการประเมิน สคริปต์ก็จะผ่าน ถ้าสคริปต์ทั้งหมดในธุรกรรมผ่าน และรายละเอียดอื่น ๆ ทั้งหมดเกี่ยวกับธุรกรรมนั้นต้องถูกต้องจึงจะถือว่าธุรกรรมนั้นถูกต้อง

โดยสรุป สคริปต์ข้างต้นใช้ public key และลายเซ็นเดียวกันกับที่อธิบายใน whitepaper แต่เพิ่มความซับซ้อนของฟิลด์สคริปต์สองฟิลด์และรหัสคำสั่งหนึ่งตัว ซึ่งเราจะเริ่มเห็นประโยชน์เมื่อเรามองที่ส่วนต่อไป

TIP:จากหลาม agian: เอาต์พุตประเภทนี้เป็นที่รู้จักในปัจจุบันว่า P2PK ซึ่งมันไม่เคยถูกใช้อย่างแพร่หลายสำหรับการชำระเงิน และไม่มีโปรแกรมที่ใช้กันอย่างแพร่หลายที่รองรับการชำระเงินผ่านที่อยู่ IP เป็นเวลาเกือบทศวรรษแล้ว

Legacy addresses for P2PKH

แน่นอนว่าการป้อนที่อยู่ IP ของคนที่คุณต้องการจ่ายเงินให้นั้นมีข้อดีหลายประการ แต่ก็มีข้อเสียหลายประการเช่นกัน หนึ่งในข้อเสียที่สำคัญคือผู้รับจำเป็นต้องให้กระเป๋าสตางค์ของพวกเขาออนไลน์ที่ที่อยู่ IP ของพวกเขา และต้องสามารถเข้าถึงได้จากโลกภายนอก

ซึ่งสำหรับคนจำนวนมากนั่นไม่ใช่ตัวเลือกที่เป็นไปได้เพราะหากพวกเขา:

• ปิดคอมพิวเตอร์ในเวลากลางคืน
• แล็ปท็อปของพวกเขาเข้าสู่โหมดสลีป
• อยู่หลังไฟร์วอลล์
• หรือกำลังใช้การแปลงที่อยู่เครือข่าย (NAT)

ปัญหานี้นำเรากลับมาสู่ความท้าทายเดิมที่ผู้รับเงินอย่างบ็อบต้องให้ public key ที่มีความยาวมากแก่ผู้จ่ายเงินอย่างอลิซ public key ของบิตคอยน์ที่สั้นที่สุดที่นักพัฒนาบิตคอยน์รุ่นแรกรู้จักมีขนาด 65 ไบต์ เทียบเท่ากับ 130 ตัวอักษรเมื่อเขียนในรูปแบบเลขฐานสิบหก (เฮกซาเดซิมอล) แต่อย่างไรก็ตาม บิตคอยน์มีโครงสร้างข้อมูลหลายอย่างที่มีขนาดใหญ่กว่า 65 ไบต์มาก ซึ่งจำเป็นต้องถูกอ้างอิงอย่างปลอดภัยในส่วนอื่น ๆ ของบิตคอยน์โดยใช้ข้อมูลขนาดเล็กที่สุดเท่าที่จะปลอดภัยได้

โดยบิตคอยน์แก้ปัญหานี้ด้วย ฟังก์ชันแฮช (hash function) ซึ่งเป็นฟังก์ชันที่รับข้อมูลที่อาจมีขนาดใหญ่ นำมาแฮช และให้ผลลัพธ์เป็นข้อมูลขนาดคงที่ ฟังก์ชันแฮชจะผลิตผลลัพธ์เดียวกันเสมอเมื่อได้รับข้อมูลนำเข้าแบบเดียวกัน และฟังก์ชันที่ปลอดภัยจะทำให้เป็นไปไม่ได้ในทางปฏิบัติสำหรับผู้ที่ต้องการเลือกข้อมูลนำเข้าอื่นที่ให้ผลลัพธ์เหมือนกันได้ นั่นทำให้ผลลัพธ์เป็น คำมั่นสัญญา (commitment) ต่อข้อมูลนำเข้า เป็นสัญญาว่าในทางปฏิบัติ มีเพียงข้อมูลนำเข้า x เท่านั้นที่จะให้ผลลัพธ์ X

สมมติว่าผมต้องการถามคำถามคุณและให้คำตอบของผมในรูปแบบที่คุณไม่สามารถอ่านได้ทันที สมมติว่าคำถามคือ "ในปีไหนที่ซาโตชิ นาคาโมโตะเริ่มทำงานบนบิทคอยน์?" ผมจะให้การยืนยันคำตอบของผมในรูปแบบของผลลัพธ์จากฟังก์ชันแฮช SHA256 ซึ่งเป็นฟังก์ชันที่ใช้บ่อยที่สุดในบิทคอยน์: 94d7a772612c8f2f2ec609d41f5bd3d04a5aa1dfe3582f04af517d396a302e4e ต่อมา หลังจากคุณบอกคำตอบที่คุณเดาสำหรับคำถามนั้น ผมสามารถเปิดเผยคำตอบของผมและพิสูจน์ให้คุณเห็นว่าคำตอบของผม เมื่อใช้เป็นข้อมูลสำหรับฟังก์ชันแฮช จะให้ผลลัพธ์เดียวกันกับที่ผมให้คุณก่อนหน้านี้ $ echo "2007. He said about a year and a half before Oct 2008" | sha256sum 94d7a772612c8f2f2ec609d41f5bd3d04a5aa1dfe3582f04af517d396a302e4e ทีนี้ให้สมมติว่าเราถามบ็อบว่า " public key ของคุณคืออะไร?" บ็อบสามารถใช้ฟังก์ชันแฮชเพื่อให้การยืนยันที่ปลอดภัยทางการเข้ารหัสต่อ public key ของเขา หากเขาเปิดเผยกุญแจในภายหลัง และเราตรวจสอบว่ามันให้ผลการยืนยันเดียวกันกับที่เขาให้เราก่อนหน้านี้ เราสามารถมั่นใจได้ว่ามันเป็นกุญแจเดียวกันที่ใช้สร้างการยืนยันก่อนหน้านี้

ฟังก์ชันแฮช SHA256 ถือว่าปลอดภัยมากและให้ผลลัพธ์ 256 บิต (32 ไบต์) น้อยกว่าครึ่งหนึ่งของขนาด public key ของบิทคอยน์ดั้งเดิม แต่อย่างไรก็ตาม มีฟังก์ชันแฮชอื่นๆ ที่ปลอดภัยน้อยกว่าเล็กน้อยที่ให้ผลลัพธ์ขนาดเล็กกว่า เช่น ฟังก์ชันแฮช RIPEMD-160 ซึ่งให้ผลลัพธ์ 160 บิต (20 ไบต์) ด้วยเหตุผลที่ซาโตชิ นาคาโมโตะไม่เคยระบุ เวอร์ชันดั้งเดิมของบิทคอยน์สร้างการยืนยันต่อ public key โดยการแฮชกุญแจด้วย SHA256 ก่อน แล้วแฮชผลลัพธ์นั้นด้วย RIPEMD-160 ซึ่งให้การยืนยันขนาด 20 ไบต์ต่อ public key

เราสามารถดูสิ่งนี้ตามอัลกอริทึม เริ่มจากกุญแจสาธารณะ K เราคำนวณแฮช SHA256 และคำนวณแฮช RIPEMD-160 ของผลลัพธ์ ซึ่งให้ตัวเลข 160 บิต (20 ไบต์): A = RIPEMD160(SHA256(K))

ทีนี้เราคงเข้าใจวิธีสร้างการยืนยันต่อ public key แล้ว ต่อไปเราจะมาดูวิธีการใช้งานโดยพิจารณาสคริปต์เอาต์พุตต่อไปนี้: OP_DUP OP_HASH160 <Bob's commitment> OP_EQUAL OP_CHECKSIG และสคริปต์อินพุตต่อไปนี้: <Bob's signature> <Bob's public key> และเมื่อเรารวมมันเข้าด้วยกันเราจะได้ผลลัพธ์ดังนี้: <Bob's signature> <Bob's public key> OP_DUP OP_HASH160 <Bob's commitment> OP_EQUAL OP_CHECKSIG

เหมือนที่เราทำใน IP Addresses: The Original Address for Bitcoin (P2PK) เราเริ่มวางรายการลงในสแต็ก ลายเซ็นของบ็อบถูกวางก่อน จากนั้น public key ของเขาถูกวางไว้ด้านบน จากนั้นดำเนินการ OP_DUP เพื่อทำสำเนารายการบนสุด ดังนั้นรายการบนสุดและรายการที่สองจากบนในสแต็กตอนนี้เป็น public key ของบ็อบทั้งคู่ การดำเนินการ OP_HASH160 ใช้ (ลบ) public key บนสุดและแทนที่ด้วยผลลัพธ์ของการแฮชด้วย RIPEMD160(SHA256(K)) ดังนั้นตอนนี้บนสุดของสแต็กคือแฮชของ public key ของบ็อบ ต่อไป commitment ถูกเพิ่มไว้บนสุดของสแต็ก การดำเนินการ OP_EQUALVERIFY ใช้รายการสองรายการบนสุดและตรวจสอบว่าพวกมันเท่ากัน ซึ่งควรเป็นเช่นนั้นหาก public key ที่บ็อบให้ในสคริปต์อินพุตเป็น public key เดียวกันกับที่ใช้สร้างการยืนยันในสคริปต์เอาต์พุตที่อลิซจ่าย หาก OP_EQUALVERIFY ล้มเหลว ทั้งสคริปต์จะล้มเหลว สุดท้าย เราเหลือสแต็กที่มีเพียงลายเซ็นของบ็อบและ public key ของเขา รหัสปฏิบัติการ OP_CHECKSIG ตรวจสอบว่าพวกมันสอดคล้องกัน

TIP: จากหลาม ถ้าอ่านตรงนี้และงง ๆ ผมไปทำรูปมาให้ดูง่ายขึ้นครับ

แม้กระบวนการของการ pay-to-publickey-hash(P2PKH) อาจดูซับซ้อน แต่มันทำให้การที่อลิซจ่ายเงินให้บ็อบมีเพียงการยืนยันเพียง 20 ไบต์ต่อ public key ของเขาแทนที่จะเป็นตัวกุญแจเอง ซึ่งจะมีขนาด 65 ไบต์ในเวอร์ชันดั้งเดิมของบิทคอยน์ นั่นเป็นข้อมูลที่น้อยกว่ามากที่บ็อบต้องสื่อสารกับอลิซ

แต่อย่างไรก็ตาม เรายังไม่ได้พูดถึงวิธีที่บ็อบรับ 20 ไบต์เหล่านั้นจากกระเป๋าเงินบิทคอยน์ของเขาไปยังกระเป๋าเงินของอลิซ มีการเข้ารหัสค่าไบต์ที่ใช้กันอย่างแพร่หลาย เช่น เลขฐานสิบหก แต่ข้อผิดพลาดใด ๆ ในการคัดลอกการยืนยันจะทำให้บิทคอยน์ถูกส่งไปยังเอาต์พุตที่ไม่สามารถใช้จ่ายได้ ทำให้พวกมันสูญหายไปตลอดกาล โดยในส่วนถัดไป เราจะดูที่การเข้ารหัสแบบกะทัดรัดและการตรวจสอบความถูกต้อง

Base58check Encoding

ระบบคอมพิวเตอร์มีวิธีเขียนตัวเลขยาวๆ ให้สั้นลงโดยใช้ทั้งตัวเลขและตัวอักษรผสมกัน เพื่อใช้พื้นที่น้อยลงอย่างเช่น

• ระบบเลขฐานสิบ (ปกติที่เราใช้) - ใช้เลข 0-9 เท่านั้น
• ระบบเลขฐานสิบหก - ใช้เลข 0-9 และตัวอักษร A-F ตัวอย่าง: เลข 255 ในระบบปกติ เขียนเป็น FF ในระบบเลขฐานสิบหก (สั้นกว่า)
• ระบบเลขฐานหกสิบสี่ (Base64) - ใช้สัญลักษณ์ถึง 64 ตัว: ตัวอักษรเล็ก (a-z) 26 ตัว, ตัวอักษรใหญ่ (A-Z) 26 ตัว, ตัวเลข (0-9) 10 ตัว, สัญลักษณ์พิเศษอีก 2 ตัว ("+" และ "/")

โดยระบบ Base64 นี้ช่วยให้เราส่งไฟล์คอมพิวเตอร์ผ่านข้อความธรรมดาได้ เช่น การส่งรูปภาพผ่านอีเมล โดยใช้พื้นที่น้อยกว่าการเขียนเป็นเลขฐานสิบแบบปกติมาก

การเข้ารหัสแบบ Base58 คล้ายกับ Base64 โดยใช้ตัวอักษรพิมพ์ใหญ่ พิมพ์เล็ก และตัวเลข แต่ได้ตัดตัวอักษรบางตัวที่มักถูกเข้าใจผิดว่าเป็นตัวอื่นและอาจดูเหมือนกันเมื่อแสดงในฟอนต์บางประเภทออกไป

Base58 คือ Base64 ที่ตัดตัวอักษรต่อไปนี้ออก:

• เลข 0 (ศูนย์)
• ตัวอักษร O (ตัว O พิมพ์ใหญ่)
• ตัวอักษร l (ตัว L พิมพ์เล็ก)
• ตัวอักษร I (ตัว I พิมพ์ใหญ่)
• และสัญลักษณ์ "+" และ "/"

หรือพูดให้ง่ายขึ้น Base58 คือกลุ่มตัวอักษรพิมพ์เล็ก พิมพ์ใหญ่ และตัวเลข แต่ไม่มีตัวอักษรทั้งสี่ตัว (0, O, l, I) ที่กล่าวถึงข้างต้น ตัวอักษรทั้งหมดที่ใช้ใน Base58 จะแสดงให้เห็นในตัวอักษร Base58 ของบิทคอยน์

Example 2. Bitcoin’s base58 alphabet 123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz การเพิ่มความปลอดภัยพิเศษเพื่อป้องกันการพิมพ์ผิดหรือข้อผิดพลาดในการคัดลอก base58check ได้รวม รหัสตรวจสอบ (checksum) ที่เข้ารหัสในตัวอักษร base58 เข้าไปด้วย รหัสตรวจสอบนี้คือข้อมูลเพิ่มเติมอีก 4 ไบต์ที่เพิ่มเข้าไปที่ท้ายของข้อมูลที่กำลังถูกเข้ารหัส

รหัสตรวจสอบนี้ได้มาจากการแฮชข้อมูลที่ถูกเข้ารหัส และจึงสามารถใช้เพื่อตรวจจับข้อผิดพลาดจากการคัดลอกและการพิมพ์ได้ เมื่อโปรแกรมได้รับรหัส base58check ซอฟต์แวร์ถอดรหัสจะคำนวณรหัสตรวจสอบของข้อมูลและเปรียบเทียบกับรหัสตรวจสอบที่รวมอยู่ในรหัสนั้น

หากทั้งสองไม่ตรงกัน แสดงว่ามีข้อผิดพลาดเกิดขึ้น และข้อมูล base58check นั้นไม่ถูกต้อง กระบวนการนี้ช่วยป้องกันไม่ให้ address บิทคอยน์ที่พิมพ์ผิดถูกยอมรับโดยซอฟต์แวร์กระเป๋าเงินว่าเป็น address ที่ถูกต้อง ซึ่งเป็นข้อผิดพลาดที่อาจส่งผลให้สูญเสียเงินได้

การแปลงข้อมูล (ตัวเลข) เป็นรูปแบบ base58check มีขั้นตอนดังนี้:

1. เราเริ่มโดยการเพิ่ม prefix เข้าไปในข้อมูล เรียกว่า "version byte" ซึ่งช่วยให้ระบุประเภทของข้อมูลที่ถูกเข้ารหัสได้ง่าย ตัวอย่างเช่น: prefix ศูนย์ (0x00 ในระบบเลขฐานสิบหก) แสดงว่าข้อมูลควรถูกใช้เป็นการยืนยัน (hash) ในสคริปต์เอาต์พุต legacy P2PKH
2. จากนั้น เราคำนวณ "double-SHA" checksum ซึ่งหมายถึงการใช้อัลกอริทึมแฮช SHA256 สองครั้งกับผลลัพธ์ก่อนหน้า (prefix ต่อกับข้อมูล): checksum = SHA256(SHA256(prefix||data))
3. จากแฮช 32 ไบต์ที่ได้ (การแฮชซ้อนแฮช) เราเลือกเฉพาะ 4 ไบต์แรก ไบต์ทั้งสี่นี้ทำหน้าที่เป็นรหัสตรวจสอบข้อผิดพลาดหรือ checksum
4. นำ checksum นี้ไปต่อที่ท้ายข้อมูล

การเข้ารหัสแบบ base58check คือรูปแบบการเข้ารหัสที่ใช้ base58 พร้อมกับการระบุเวอร์ชันและการตรวจสอบความถูกต้อง เพื่อการเข้ารหัสข้อมูลบิทคอยน์ โดยคุณสามารถดูภาพประกอบด้านล่างเพื่อความเข้าใจเพิ่มเติม

ในบิตคอยน์นั้น นอกจากจะใช้ base58check ในการยืนยัน public key แล้ว ก็ยังมีการใช้ในข้อมูลอื่น ๆ ด้วย เพื่อทำให้ข้อมูลนั้นกะทัดรัด อ่านง่าย และตรวจจับข้อผิดพลาดได้ง่ายด้วยรหัสนำหน้า (version prefix) ในการเข้ารหัสแบบ base58check ถูกใช้เพื่อสร้างรูปแบบที่แยกแยะได้ง่าย ซึ่งเมื่อเข้ารหัสด้วย base58 โดยจะมีตัวอักษรเฉพาะที่จุดเริ่มต้นของข้อมูลที่เข้ารหัส base58check ตัวอักษรเหล่านี้ช่วยให้เราระบุประเภทของข้อมูลที่ถูกเข้ารหัสและวิธีการใช้งานได้ง่าย นี่คือสิ่งที่แยกความแตกต่าง ตัวอย่างเช่น ระหว่าง address บิทคอยน์ที่เข้ารหัส base58check ซึ่งขึ้นต้นด้วยเลข 1 กับรูปแบบการนำเข้า private key (WIF - Wallet Import Format) ที่เข้ารหัส base58check ซึ่งขึ้นต้นด้วยเลข 5 ตัวอย่างของ version prefix สามารถดูได้ตามตารางด้านล่างนี้

ภาพต่อไปนี้จะทำให้คุณเห็นภาพของกระบวนการแปลง public key ให้เป็น bitcoin address

Compressed Public Keys

ในยุคแรก ๆ ของบิตคอยน์นั้น มีเพียงการสร้าง public key แบบ 65 Bytes เท่านั้น แต่ในเวลาต่อมา เหล่านักพัฒนาในยุคหลังได้พบวิธีการสร้าง public key แบบใหม่ที่มีเพียง 33 Bytes และสามารถทำงานร่วมกันกับโหนดทั้งหมดในขณะนั้นได้ จีงไม่จะเป็นต้องเปลี่ยนแปลงกฎหรือโครงสร้างภายในโปรโตคอลของบิตคอยน์ โดย poublic key แบบใหม่ที่มีขนาด 33 Bytes นี้เรียกว่า compressed public key (public key ที่ถูกบีบอัด) และมีการเรียก public key ที่มีขนาด 65 Bytes ว่า uncompressed public key (public key ที่ไม่ถูกบีบอัด) ซึ่งประโยชน์ของ public key ที่เล็กลงนั้น นอกจากจะช่วยให้การส่ง public key ให้ผู้อื่นทำได้ง่ายขึ้นแล้ว ยังช่วยให้ธุรกรรมมีขนาดเล็กลง และช่วยให้สามารถทำการชำระเงินได้มากขึ้นในบล็อกเดียวกัน

อย่างที่เราได้เรียนรู้จากเนื้อหาในส่วนของ public key เราได้ทราบว่า public key คือจุด (x, y) บนเส้นโค้งวงรี เนื่องจากเส้นโค้งแสดงฟังก์ชันทางคณิตศาสตร์ จุดบนเส้นโค้งจึงเป็นคำตอบของสมการ ดังนั้นหากเรารู้พิกัด x เราก็สามารถคำนวณพิกัด y ได้โดยแก้สมการ y² mod p = (x³ + 7) mod p นั่นหมายความว่าเราสามารถเก็บเพียงพิกัด x ของ public key โดยละพิกัด y ไว้ ซึ่งช่วยลดขนาดของกุญแจและพื้นที่ที่ต้องใช้เก็บข้อมูลลง 256 บิต การลดขนาดลงเกือบ 50% ในทุกธุรกรรมรวมกันแล้วช่วยประหยัดข้อมูลได้มากมายในระยะยาว!

นี่คือ public key ที่ได้ยกเป็นตัวอย่างไว้ก่อนหน้า x = F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A y = 07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB

และนี่คือ public key ที่มีตัวนำหน้า 04 ตามด้วยพิกัด x และ y ในรูปแบบ 04 x y: K = 04F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB

uncompressed public key นั้นจะมีตัวนำหน้าเป็น 04 แต่ compressed public key จะมีตัวนำหน้าเป็น 02 หรือ 03 โดยเหตุผลนั้นมาจากสมการ y² mod p = (x³ + 7) mod p เนื่องจากด้านซ้ายของสมการคือ y² คำตอบสำหรับ y จึงเป็นรากที่สอง ซึ่งอาจมีค่าเป็นบวกหรือลบก็ได้ หากมองเชิงภาพ นี่หมายความว่าพิกัด y ที่ได้อาจอยู่เหนือหรือใต้แกน x เราต้องไม่ลืมว่าเส้นโค้งมีความสมมาตร ซึ่งหมายความว่ามันจะสะท้อนเหมือนกระจกโดยแกน x ดังนั้น แม้เราจะละพิกัด y ได้ แต่เราต้องเก็บ เครื่องหมาย ของ y (บวกหรือลบ) หรืออีกนัยหนึ่งคือเราต้องจำว่ามันอยู่เหนือหรือใต้แกน x เพราะแต่ละตำแหน่งแทนจุดที่แตกต่างกันและเป็น public key ที่แตกต่างกัน

เมื่อคำนวณเส้นโค้งวงรีในระบบเลขฐานสองบนสนามจำกัดของเลขจำนวนเฉพาะ p พิกัด y จะเป็นเลขคู่หรือเลขคี่ ซึ่งสอดคล้องกับเครื่องหมายบวก/ลบตามที่อธิบายก่อนหน้านี้ ดังนั้น เพื่อแยกความแตกต่างระหว่างค่าที่เป็นไปได้สองค่าของ y เราจึงเก็บ compressed public key ด้วยตัวนำหน้า 02 ถ้า y เป็นเลขคู่ และ 03 ถ้า y เป็นเลขคี่ ซึ่งช่วยให้ซอฟต์แวร์สามารถอนุมานพิกัด y จากพิกัด x และคลายการบีบอัดของ public key ไปยังพิกัดเต็มของจุดได้อย่างถูกต้อง ดังภาพประกอบต่อไปนี้

นี่คือ public key เดียวกันกับที่ยกตัวอย่างไว้ข้างต้นซึ่งแสดงให้เห็นในรูป compressed public key ที่เก็บใน 264 บิต (66 ตัวอักษรเลขฐานสิบหก) โดยมีตัวนำหน้า 03 ซึ่งบ่งชี้ว่าพิกัด y เป็นเลขคี่: K = 03F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A compressed public key สอดคล้องกับ private key เดียวกันกับ uncompressed public key หมายความว่ามันถูกสร้างจาก private key เดียวกัน แต่อย่างไรก็ตาม มันก็มีส่วนที่แตกต่างจาก uncompressed public key นั้นคือ หากเราแปลง compressed public key เป็น commitment โดยใช้ฟังก์ชัน HASH160 (RIPEMD160(SHA256(K))) มันจะสร้าง commitment ที่แตกต่างจาก uncompressed public key และจะนำไปสู่ bitcoin address ที่แตกต่างกันในที่สุด สิ่งนี้อาจทำให้สับสนเพราะหมายความว่า private key เดียวสามารถสร้าง public key ในสองรูปแบบที่แตกต่างกัน (แบบบีบอัดและแบบไม่บีบอัด) ซึ่งสร้าง bitcoin address ที่แตกต่างกัน

compressed public key เป็นค่าเริ่มต้นในซอฟต์แวร์บิตคอยน์เกือบทั้งหมดในปัจจุบัน และถูกกำหนดให้ใช้กับคุณสมบัติใหม่บางอย่างที่เพิ่มในการอัปเกรดโปรโตคอลในภายหลัง

อย่างไรก็ตาม ซอฟต์แวร์บางตัวยังคงต้องรองรับ uncompressed public key เช่น แอปพลิเคชันกระเป๋าเงินที่นำเข้า private key จากกระเป๋าเงินเก่า เมื่อกระเป๋าเงินใหม่สแกนบล็อกเชนสำหรับผลลัพธ์และอินพุต P2PKH เก่า มันจำเป็นต้องรู้ว่าควรสแกนกุญแจขนาด 65 ไบต์ (และ commitment ของกุญแจเหล่านั้น) หรือกุญแจขนาด 33 ไบต์ (และ commitment ของกุญแจเหล่านั้น) หากไม่สแกนหาประเภทที่ถูกต้อง อาจทำให้ผู้ใช้ไม่สามารถใช้ยอดคงเหลือทั้งหมดได้ เพื่อแก้ไขปัญหานี้ เมื่อส่งออก private key จากกระเป๋าเงิน WIF ที่ใช้แสดง private key ในกระเป๋าเงินบิตคอยน์รุ่นใหม่จะถูกนำไปใช้แตกต่างกันเล็กน้อยเพื่อบ่งชี้ว่า private key เหล่านี้ถูกใช้ในการสร้าง compressed public key

Legacy: Pay to Script Hash (P2SH)

ตามที่เราได้เห็นในส่วนก่อนหน้านี้ ผู้รับบิตคอยน์ สามารถกำหนดให้การชำระเงินที่ส่งมาให้เขานั้นมีเงื่อนไขบางอย่างในสคริปต์เอาต์พุตได้โดยจะต้องปฏิบัติตามเงื่อนไขเหล่านั้นโดยใช้สคริปต์อินพุตเมื่อเขาใช้จ่ายบิตคอยน์เหล่านั้น ในส่วน IP Addresses: The Original Address for Bitcoin (P2PK) เงื่อนไขก็คือสคริปต์อินพุตต้องให้ลายเซ็นที่เหมาะสม ในส่วน Legacy Addresses for P2PKH นั้นจำเป็นต้องมี public key ที่เหมาะสมด้วย

ส่วนสำหรับผู้ส่งก็จะวางเงื่อนไขที่ผู้รับต้องการในสคริปต์เอาต์พุตที่ใช้จ่ายให้กับผู้รับ โดยผู้รับจะต้องสื่อสารเงื่อนไขเหล่านั้นให้ผู้ส่งทราบ ซึ่งคล้ายกับปัญหาที่บ๊อบต้องสื่อสาร public key ของเขาให้อลิซทราบ และเช่นเดียวกับปัญหานั้นที่ public key อาจมีขนาดค่อนข้างใหญ่ เงื่อนไขที่บ๊อบใช้ก็อาจมีขนาดใหญ่มากเช่นกัน—อาจมีขนาดหลายพันไบต์ นั่นไม่เพียงแต่เป็นข้อมูลหลายพันไบต์ที่ต้องสื่อสารให้อลิซทราบ แต่ยังเป็นข้อมูลหลายพันไบต์ที่เธอต้องจ่ายค่าธรรมเนียมธุรกรรมทุกครั้งที่ต้องการใช้จ่ายเงินให้บ๊อบ อย่างไรก็ตาม การใช้ฟังก์ชันแฮชเพื่อสร้าง commitment ขนาดเล็กสำหรับข้อมูลขนาดใหญ่ก็สามารถนำมาใช้ได้ในกรณีนี้เช่นกัน

ในเวลาต่อมานั้น การอัปเกรด BIP16 สำหรับโปรโตคอลบิตคอยน์ในปี 2012 ได้อนุญาตให้สคริปต์เอาต์พุตสร้าง commitment กับ redemption script (redeem script) ได้ แปลว่าเมื่อบ๊อบใช้จ่ายบิตคอยน์ของเขา ภายในสคริปต์อินพุตของเขานั้นจะต้องให้ redeem script ที่ตรงกับ commitment และข้อมูลที่จำเป็นเพื่อให้เป็นไปตาม redeem script (เช่น ลายเซ็น) เริ่มต้นด้วยการจินตนาการว่าบ๊อบต้องการให้มีลายเซ็นสองอันเพื่อใช้จ่ายบิตคอยน์ของเขา หนึ่งลายเซ็นจากกระเป๋าเงินบนเดสก์ท็อปและอีกหนึ่งจากอุปกรณ์เซ็นแบบฮาร์ดแวร์ เขาใส่เงื่อนไขเหล่านั้นลงใน redeem script: <public key 1> OP_CHECKSIGVERIFY <public key 2> OP_CHECKSIG จากนั้นเขาสร้าง commitment กับ redeem script โดยใช้กลไก HASH160 เดียวกับที่ใช้สำหรับ commitment แบบ P2PKH, RIPEMD160(SHA256(script)) commitment นั้นถูกวางไว้ในสคริปต์เอาต์พุตโดยใช้เทมเพลตพิเศษ: OP_HASH160 <commitment> OP_EQUAL

คำเตือน: เมื่อใช้ pay to script hash (P2SH) คุณต้องใช้เทมเพลต P2SH โดยเฉพาะ ซึ่งจะไม่มีข้อมูลหรือเงื่อนไขเพิ่มเติมในสคริปต์เอาต์พุต หากสคริปต์เอาต์พุตไม่ได้เป็น OP_HASH160 <20 ไบต์> OP_EQUAL แน่นอนว่า redeem script จะไม่ถูกใช้และบิตคอยน์ใด ๆ อาจไม่สามารถใช้จ่ายได้หรืออาจถูกใช้จ่ายได้โดยทุกคน (หมายความว่าใครก็สามารถนำไปใช้ได้)

เมื่อบ๊อบต้องการจ่ายเงินที่เขาได้รับผ่าน commitment สำหรับสคริปต์ของเขา เขาจะใช้สคริปต์อินพุตที่รวมถึง redeem script ซึ่งถูกแปลงให้เป็นข้อมูลอีลิเมนต์เดียว นอกจากนี้เขายังให้ลายเซ็นที่จำเป็นเพื่อให้เป็นไปตาม redeem script โดยเรียงลำดับตามที่จะถูกใช้โดย opcodes: <signature2> <signature1> <redeem script> เมื่อโหนดของบิตคอยน์ได้รับการใช้จ่ายของบ๊อบพวกมันจะตรวจสอบว่า redeem script ที่ถูกแปลงเป็นค่าแฮชแล้วมีค่าเดียวกันกับ commitment มั้ย หลังจากนั้นพวกมันจะแทนที่มันบนสแต็คด้วยค่าที่ถอดรหัสแล้ว: <signature2> <signature1> <pubkey1> OP_CHECKSIGVERIFY <pubkey2> OP_CHECKSIG สคริปต์จะถูกประมวลผล และหากผ่านการตรวจสอบและรายละเอียดธุรกรรมอื่น ๆ ทั้งหมดถูกต้อง ธุรกรรมก็จะถือว่าใช้ได้

address สำหรับ P2SH ก็ถูกสร้างด้วย base58check เช่นกัน คำนำหน้าเวอร์ชันถูกตั้งเป็น 5 ซึ่งทำให้ที่อยู่ที่เข้ารหัสแล้วขึ้นต้นด้วยเลข 3 ตัวอย่างของที่อยู่ P2SH คือ 3F6i6kwkevjR7AsAd4te2YB2zZyASEm1HM

TIP: P2SH ไม่จำเป็นต้องเหมือนกับธุรกรรมแบบหลายลายเซ็น (multisignature) เสมอไป ถึง address P2SH ส่วนใหญ่ แทนสคริปต์แบบหลายลายเซ็นก็ตาม แต่อาจแทนสคริปต์ที่เข้ารหัสธุรกรรมประเภทอื่น ๆ ได้ด้วย

P2PKH และ P2SH เป็นสองเทมเพลตสคริปต์เท่านั้นที่ใช้กับการเข้ารหัสแบบ base58check พวกมันเป็นที่รู้จักในปัจจุบันว่าเป็น address แบบ legacy และกลายเป็นรูปแบบที่พบน้อยลงเรื่อยๆ address แบบ legacy ถูกแทนที่ด้วยaddress ตระกูล bech32

การโจมตี P2SH แบบ Collision

address ทั้งหมดที่อิงกับฟังก์ชันแฮชมีความเสี่ยงในทางทฤษฎีต่อผู้โจมตีที่อาจค้นพบอินพุตเดียวกันที่สร้างเอาต์พุตฟังก์ชันแฮช (commitment) โดยอิสระ ในกรณีของบิตคอยน์ หากพวกเขาค้นพบอินพุตในวิธีเดียวกับที่ผู้ใช้ดั้งเดิมทำ พวกเขาจะรู้ private key ของผู้ใช้และสามารถใช้จ่ายบิตคอยน์ของผู้ใช้นั้นได้ โอกาสที่ผู้โจมตีจะสร้างอินพุตสำหรับ commitment ที่มีอยู่แล้วโดยอิสระนั้นขึ้นอยู่กับความแข็งแกร่งของอัลกอริทึมแฮช สำหรับอัลกอริทึมที่ปลอดภัย 160 บิตอย่าง HASH160 ความน่าจะเป็นอยู่ที่ 1 ใน 2^160 นี่เรียกว่าการโจมตีแบบ preimage attack

ผู้โจมตีสามารถพยายามสร้างข้อมูลนำเข้าสองชุดที่แตกต่างกัน (เช่น redeem scripts) ที่สร้างการเข้ารหัสแบบเดียวกันได้ สำหรับ address ที่สร้างโดยฝ่ายเดียวทั้งหมด โอกาสที่ผู้โจมตีจะสร้างข้อมูลนำเข้าที่แตกต่างสำหรับการเข้ารหัสที่มีอยู่แล้วมีประมาณ 1 ใน 2^160 สำหรับอัลกอริทึม HASH160 นี่คือการโจมตีแบบ second preimage attack

อย่างไรก็ตาม สถานการณ์จะเปลี่ยนไปเมื่อผู้โจมตีสามารถมีอิทธิพลต่อค่าข้อมูลนำเข้าดั้งเดิมได้ ตัวอย่างเช่น ผู้โจมตีมีส่วนร่วมในการสร้างสคริปต์แบบหลายลายเซ็น (multisignature script) ซึ่งพวกเขาไม่จำเป็นต้องส่ง public key ของตนจนกว่าจะทราบ public key ของฝ่ายอื่นทั้งหมด ในกรณีนั้น ความแข็งแกร่งของอัลกอริทึมการแฮชจะลดลงเหลือรากที่สองของมัน สำหรับ HASH160 ความน่าจะเป็นจะกลายเป็น 1 ใน 2^80 นี่คือการโจมตีแบบ collision attack

เพื่อให้เข้าใจตัวเลขเหล่านี้ในบริบทที่ชัดเจน ข้อมูล ณ ต้นปี 2023 นักขุดบิตคอยน์ทั้งหมดรวมกันสามารถประมวลผลฟังก์ชันแฮชประมาณ 2^80 ทุกชั่วโมง พวกเขาใช้ฟังก์ชันแฮชที่แตกต่างจาก HASH160 ดังนั้นฮาร์ดแวร์ที่มีอยู่จึงไม่สามารถสร้างการโจมตีแบบ collision attack สำหรับมันได้ แต่การมีอยู่ของเครือข่ายบิตคอยน์พิสูจน์ว่าการโจมตีแบบชนกันต่อฟังก์ชัน 160 บิตอย่าง HASH160 สามารถทำได้จริงในทางปฏิบัติ นักขุดบิตคอยน์ได้ลงทุนเทียบเท่ากับหลายพันล้านดอลลาร์สหรัฐในฮาร์ดแวร์พิเศษ ดังนั้นการสร้างการโจมตีแบบ collision attack จึงไม่ใช่เรื่องถูก แต่มีองค์กรที่คาดหวังว่าจะได้รับบิตคอยน์มูลค่าหลายพันล้านดอลลาร์ไปยัง address ที่สร้างโดยกระบวนการที่เกี่ยวข้องกับหลายฝ่าย ซึ่งอาจทำให้การโจมตีนี้มีกำไร

มีโปรโตคอลการเข้ารหัสที่เป็นที่ยอมรับอย่างดีในการป้องกันการโจมตีแบบ collision attack แต่วิธีแก้ปัญหาที่ง่ายโดยไม่ต้องใช้ความรู้พิเศษจากผู้พัฒนากระเป๋าเงินคือการใช้ฟังก์ชันแฮชที่แข็งแกร่งกว่า การอัปเกรดบิตคอยน์ในภายหลังทำให้เป็นไปได้ และ address บิตคอยน์ใหม่ให้ความต้านทานการชนกันอย่างน้อย 128 บิต การดำเนินการแฮช 2^128 ครั้งจะใช้เวลานักขุดบิตคอยน์ปัจจุบันทั้งหมดประมาณ 32 พันล้านปี

แม้ว่าเราไม่เชื่อว่ามีภัยคุกคามเร่งด่วนต่อผู้ที่สร้าง address P2SH ใหม่ แต่เราแนะนำให้กระเป๋าเงินใหม่ทั้งหมดใช้ที่อยู่ประเภทใหม่เพื่อขจัดความกังวลเกี่ยวกับการโจมตีแบบ collision attack ของ P2SH address

Bech32 Addresses

ในปี 2017 โปรโตคอลบิตคอยน์ได้รับการอัปเกรด เพื่อป้องกันไม่ให้ตัวระบุธุรกรรม (txids) ไม่สามารถเปลี่ยนแปลงได้ โดยไม่ได้รับความยินยอมจากผู้ใช้ที่ทำการใช้จ่าย (หรือองค์ประชุมของผู้ลงนามเมื่อต้องมีลายเซ็นหลายรายการ) การอัปเกรดนี้เรียกว่า segregated witness (หรือเรียกสั้นๆ ว่า segwit) ซึ่งยังให้ความสามารถเพิ่มเติมสำหรับข้อมูลธุรกรรมในบล็อกและประโยชน์อื่น ๆ อีกหลายประการ แต่อย่างไรก็ตาม หากมีผู้ใช้เก่าที่ต้องการเข้าถึงประโยชน์ของ segwit โดยตรงต้องยอมรับการชำระเงินไปยังสคริปต์เอาต์พุตใหม่

ตามที่ได้กล่าวไว้ใน p2sh หนึ่งในข้อดีของเอาต์พุตประเภท P2SH คือผู้จ่ายไม่จำเป็นต้องรู้รายละเอียดของสคริปต์ที่ผู้รับใช้ การอัปเกรด segwit ถูกออกแบบมาให้ใช้กลไกนี้ได้ดังเดิม จึง ทำให้ผู้จ่ายสามารถเริ่มเข้าถึงประโยชน์ใหม่ ๆ หลายอย่างได้ทันทีโดยใช้ที่อยู่ P2SH แต่เพื่อให้ผู้รับสามารถเข้าถึงประโยชน์เหล่านั้นได้ พวกเขาจำเป็นจะต้องให้กระเป๋าเงินของผู้จ่ายจ่ายเงินให้เขาโดยใช้สคริปต์ประเภทอื่นแทน ซึ่งจะต้องอาศัยการอัปเกรดกระเป๋าเงินของผู้จ่ายเพื่อรองรับสคริปต์ใหม่เหล่านี้

ในช่วงแรก เหล่านักพัฒนาบิตคอยน์ได้นำเสนอ BIP142 ซึ่งจะยังคงใช้ base58check ร่วมกับไบต์เวอร์ชันใหม่ คล้ายกับการอัปเกรด P2SH แต่การให้กระเป๋าเงินทั้งหมดอัปเกรดไปใช้สคริปต์ใหม่ที่มีเวอร์ชัน base58check ใหม่นั้น คาดว่าจะต้องใช้ความพยายามเกือบเท่ากับการให้พวกเขาอัปเกรดไปใช้รูปแบบ address ที่เป็นแบบใหม่ทั้งหมด ด้วยเหตุนี้้เอง ผู้สนับสนุนบิตคอยน์หลายคนจึงเริ่มออกแบบรูปแบบ address ที่ดีที่สุดเท่าที่เป็นไปได้ พวกเขาระบุปัญหาหลายอย่างกับ base58check ไว้ดังนี้:

• การที่ base58check ใช้อักษรที่มีทั้งตัวพิมพ์ใหญ่และตัวพิมพ์เล็กทำให้ไม่สะดวกในการอ่านออกเสียงหรือคัดลอก ลองอ่าน address แบบเก่าในบทนี้ให้เพื่อนฟังและให้พวกเขาคัดลอก คุณจะสังเกตว่าคุณต้องระบุคำนำหน้าทุกตัวอักษรด้วยคำว่า "ตัวพิมพ์ใหญ่" และ "ตัวพิมพ์เล็ก" และเมื่อคุณตรวจสอบสิ่งที่พวกเขาเขียน คุณจะพบว่าตัวพิมพ์ใหญ่และตัวพิมพ์เล็กของตัวอักษรบางตัวอาจดูคล้ายกันในลายมือของคนส่วนใหญ่
• รูปแบบนี้สามารถตรวจจับข้อผิดพลาดได้ แต่ไม่สามารถช่วยผู้ใช้แก้ไขข้อผิดพลาดเหล่านั้น ตัวอย่างเช่น หากคุณสลับตำแหน่งตัวอักษรสองตัวโดยไม่ตั้งใจเมื่อป้อน address ด้วยตนเอง กระเป๋าเงินของคุณจะเตือนว่ามีข้อผิดพลาดเกิดขึ้นแน่นอน แต่จะไม่ช่วยให้คุณค้นพบว่าข้อผิดพลาดอยู่ที่ไหน คุณอาจต้องใช้เวลาหลายนาทีที่น่าหงุดหงิดเพื่อค้นหาข้อผิดพลาดในที่สุด
• การใช้ตัวอักษรที่มีทั้งตัวพิมพ์ใหญ่และตัวพิมพ์เล็กยังต้องใช้พื้นที่เพิ่มเติมในการเข้ารหัสใน QR code ซึ่งนิยมใช้ในการแชร์ address และ invoice ระหว่างกระเป๋าเงิน พื้นที่เพิ่มเติมนี้หมายความว่า QR code จำเป็นต้องมีขนาดใหญ่ขึ้นที่ความละเอียดเดียวกัน หรือไม่เช่นนั้นก็จะยากต่อการสแกนอย่างรวดเร็ว
• การที่ต้องการให้กระเป๋าเงินผู้จ่ายทุกใบอัปเกรดเพื่อรองรับคุณสมบัติโปรโตคอลใหม่ เช่น P2SH และ segwit แม้ว่าการอัปเกรดเองอาจไม่ต้องใช้โค้ดมากนัก แต่ประสบการณ์แสดงให้เห็นว่าผู้พัฒนากระเป๋าเงินหลายรายมักยุ่งกับงานอื่น ๆ และบางครั้งอาจล่าช้าในการอัปเกรดเป็นเวลาหลายปี สิ่งนี้ส่งผลเสียต่อทุกคนที่ต้องการใช้คุณสมบัติใหม่ ๆ เหล่านี้

นักพัฒนาที่ทำงานเกี่ยวกับรูปแบบ address สำหรับ segwit ได้พบวิธีแก้ปัญหาเหล่านี้ทั้งหมดในรูปแบบ address แบบใหม่ที่เรียกว่า bech32 (ออกเสียงด้วย "ch" อ่อน เช่นใน "เบช สามสิบสอง") คำว่า "bech" มาจาก BCH ซึ่งเป็นอักษรย่อของบุคคลสามคนที่ค้นพบรหัสวนนี้ในปี 1959 และ 1960 ซึ่งเป็นพื้นฐานของ bech32 ส่วน "32" หมายถึงจำนวนตัวอักษรในชุดตัวอักษร bech32 (คล้ายกับ 58 ใน base58check):

• Bech32 ใช้เฉพาะตัวเลขและตัวอักษรรูปแบบเดียว (โดยปกติจะแสดงเป็นตัวพิมพ์เล็ก) แม้ว่าชุดตัวอักษรของมันจะมีขนาดเกือบครึ่งหนึ่งของชุดตัวอักษรใน base58check ก็ตามแต่ address bech32 สำหรับสคริปต์ pay to witness public key hash (P2WPKH) ก็ยังยาวกว่า legacy address และมีขนาดเท่ากันกับสคริปต์ P2PKH

• Bech32 สามารถทั้งตรวจจับและช่วยแก้ไขข้อผิดพลาดได้ ใน address ที่มีความยาวตามที่คาดหวังได้ และสามารถรับประกันทางคณิตศาสตร์ได้ว่าจะตรวจพบข้อผิดพลาดใด ๆ ที่ส่งผลกระทบต่อตัวอักษร 4 ตัวหรือน้อยกว่า ซึ่งเชื่อถือได้มากกว่า base58check ส่วนสำหรับข้อผิดพลาดที่ยาวกว่านั้น จะไม่สามารถตรวจพบได้ (โอกาสเกิดน้อยกว่าหนึ่งครั้งในหนึ่งพันล้าน) ซึ่งมีความเชื่อถือได้ประมาณเท่ากับ base58check ยิ่งไปกว่านั้น สำหรับ adddress ที่พิมพ์โดยมีข้อผิดพลาดเพียงเล็กน้อย มันสามารถบอกผู้ใช้ได้ว่าข้อผิดพลาดเหล่านั้นเกิดขึ้นที่ไหน ช่วยให้พวกเขาสามารถแก้ไขข้อผิดพลาดจากการคัดลอกเล็ก ๆ น้อย ๆ ได้อย่างรวดเร็ว

• ตัวอย่างที่ 3 Bech32 address ที่มีข้อผิดพลาด Address: bc1p9nh05ha8wrljf7ru236awn4t2x0d5ctkkywmv9sclnm4t0av2vgs4k3au7 ข้อผิดพลาดที่ตรวจพบแสดงเป็นตัวหนาและขีดเส้นใต้ สร้างโดยใช้โปรแกรมสาธิตการถอดรหัส bech32 address

• bech32 address นิยมเขียนด้วยตัวอักษรพิมพ์เล็กเท่านั้น แต่ตัวอักษรพิมพ์เล็กเหล่านี้สามารถแทนที่ด้วยตัวอักษรพิมพ์ใหญ่ก่อนการเข้ารหัส address ในรหัส QR ได้ วิธีนี้ช่วยให้สามารถใช้โหมดการเข้ารหัส QR แบบพิเศษที่ใช้พื้นที่น้อยกว่า คุณจะสังเกตเห็นความแตกต่างในขนาดและความซับซ้อนของรหัส QR ทั้งสองสำหรับที่อยู่เดียวกันในรูปภาพข้างล่างนี้

- Bech32 ใช้ประโยชน์จากกลไกการอัปเกรดที่ออกแบบมาเป็นส่วนหนึ่งของ segwit เพื่อทำให้กระเป๋าเงินผู้จ่ายสามารถจ่ายเงินไปยังประเภทเอาต์พุตที่ยังไม่ได้ใช้งานได้ โดยมีเป้าหมายคือการอนุญาตให้นักพัฒนาสร้างกระเป๋าเงินในวันนี้ที่สามารถใช้จ่ายไปยัง bech32 address และทำให้กระเป๋าเงินนั้นยังคงสามารถใช้จ่ายไปยัง bech32address ได้สำหรับผู้ใช้คุณสมบัติใหม่ที่เพิ่มในการอัปเกรดโปรโตคอลในอนาคต โดยที่มีความหวังว่าเราอาจไม่จำเป็นต้องผ่านรอบการอัปเกรดทั้งระบบอีกต่อไป ซึ่งจำเป็นสำหรับการให้ผู้คนใช้งาน P2SH และ segwit ได้อย่างเต็มรูปแบบ

• Problems with Bech32 Addresses

  address แบบ bech32 ประสบความสำเร็จในทุกด้านยกเว้นปัญหาหนึ่ง คือการรับประกันทางคณิตศาสตร์เกี่ยวกับความสามารถในการตรวจจับข้อผิดพลาดจะใช้ได้เฉพาะเมื่อความยาวของ address ที่คุณป้อนเข้าไปในกระเป๋าเงินมีความยาวเท่ากับ address ดั้งเดิมเท่านั้น หากคุณเพิ่มหรือลบตัวอักษรใด ๆ ระหว่างการคัดลอกจะทำให้ไม่สามารถตรวจจับได้ การรับประกันนี้จะไม่มีผล และกระเป๋าเงินของคุณอาจใช้จ่ายเงินไปยัง address ที่ไม่ถูกต้อง แต่อย่างไรก็ตาม แม้จะไม่มีคุณสมบัตินี้ มีความเชื่อว่าเป็นไปได้ยากมากที่ผู้ใช้ที่เพิ่มหรือลบตัวอักษรจะสร้างสตริงที่มีผลรวมตรวจสอบที่ถูกต้อง ซึ่งช่วยให้มั่นใจได้ว่าเงินของผู้ใช้จะปลอดภัย

น่าเสียดายที่การเลือกใช้ค่าคงที่ตัวหนึ่งในอัลกอริทึม bech32 บังเอิญทำให้การเพิ่มหรือลบตัวอักษร "q" ในตำแหน่งที่สองจากท้ายของ address ที่ลงท้ายด้วยตัวอักษร "p" เป็นเรื่องง่ายมาก ในกรณีเหล่านั้น คุณยังสามารถเพิ่มหรือลบตัวอักษร "q" หลายครั้งได้ด้วย ข้อผิดพลาดนี้จะถูกตรวจจับโดยผลรวมตรวจสอบ (checksum) ในบางครั้ง แต่จะถูกมองข้ามบ่อยกว่าความคาดหวังหนึ่งในพันล้านสำหรับข้อผิดพลาดจากการแทนที่ของ bech32 อย่างมาก สำหรับตัวอย่างสามารถดูได้ในรูปภาพข้างล่างนี้

ตัวอย่างที่ 4. การขยายความยาวของ bech32 address โดยไม่ทำให้ผลรวมตรวจสอบเป็นโมฆะ ``` bech32 address ที่ถูกต้อง: bc1pqqqsq9txsqp

address ที่ไม่ถูกต้องแต่มีผลรวมตรวจสอบที่ถูกต้อง: bc1pqqqsq9txsqqqqp bc1pqqqsq9txsqqqqqqp bc1pqqqsq9txsqqqqqqqqp bc1pqqqsq9txsqqqqqqqqqp bc1pqqqsq9txsqqqqqqqqqqqp ```

จากตัวอย่างนี้ คุณจะเห็นว่าแม้มีการเพิ่มตัวอักษร "q" เข้าไปหลายตัวก่อนตัวอักษร "p" ตัวสุดท้าย ระบบตรวจสอบก็ยังคงยอมรับว่า address เหล่านี้ถูกต้อง นี่เป็นข้อบกพร่องสำคัญของ bech32 เพราะอาจทำให้เงินถูกส่งไปยัง address ที่ไม่มีใครเป็นเจ้าของจริง ๆ หรือ address ที่ไม่ได้ตั้งใจจะส่งไป

สำหรับเวอร์ชันเริ่มต้นของ segwit (เวอร์ชัน 0) ปัญหานี้ไม่ใช่ความกังวลในทางปฏิบัติ เพราะมีความยาวที่ถูกต้องมีเพียงสองแบบที่กำหนดไว้สำหรับเอาต์พุต นั้นคือ 22 Byte และ 34 Byte ซึ่งสอดคล้องกับ bech32 address ที่มีความยาวยาวที่ 42 หรือ 62 ตัวอักษร ดังนั้นคนจะต้องเพิ่มหรือลบตัวอักษร "q" จากตำแหน่งที่สองจากท้ายของ bech32 address ถึง 20 ครั้งเพื่อส่งเงินไปยัง address ที่ไม่ถูกต้องโดยที่กระเป๋าเงินไม่สามารถตรวจจับได้ อย่างไรก็ตาม มันอาจกลายเป็นปัญหาสำหรับผู้ใช้ในอนาคตหากมีการนำการอัปเกรดบนพื้นฐานของ segwit มาใช้

Bech32m

แม้ว่า bech32 จะทำงานได้ดีสำหรับ segwit v0 แต่นักพัฒนาไม่ต้องการจำกัดขนาดเอาต์พุตโดยไม่จำเป็นในเวอร์ชันหลังๆ ของ segwit หากไม่มีข้อจำกัด การเพิ่มหรือลบตัวอักษร "q" เพียงตัวเดียวใน bech32 address อาจทำให้ผู้ใช้ส่งเงินโดยไม่ตั้งใจไปยังเอาต์พุตที่ไม่สามารถใช้จ่ายได้หรือสามารถใช้จ่ายได้โดยทุกคน (ทำให้บิตคอยน์เหล่านั้นถูกนำไปโดยทุกคนได้) นักพัฒนาได้วิเคราะห์ปัญหา bech32 อย่างละเอียดและพบว่าการเปลี่ยนค่าคงที่เพียงตัวเดียวในอัลกอริทึมของพวกเขาจะขจัดปัญหานี้ได้ ทำให้มั่นใจว่าการแทรกหรือลบตัวอักษรสูงสุดห้าตัวจะไม่ถูกตรวจจับน้อยกว่าหนึ่งครั้งในหนึ่งพันล้านเท่านั้น

เวอร์ชันของ bech32 ที่มีค่าคงที่เพียงหนึ่งตัวที่แตกต่างกันเรียกว่า bech32 แบบปรับแต่ง (bech32m) ตัวอักษรทั้งหมดใน address แบบ bech32 และ bech32m สำหรับข้อมูลพื้นฐานเดียวกันจะเหมือนกันทั้งหมด ยกเว้นหกตัวสุดท้าย (ซึ่งเป็นส่วนของ checksum) นั่นหมายความว่ากระเป๋าเงินจำเป็นต้องรู้ว่ากำลังใช้เวอร์ชันใดเพื่อตรวจสอบความถูกต้องของ checksum แต่ address ทั้งสองประเภทมีไบต์เวอร์ชันภายในที่ทำให้การระบุเวอร์ชันที่ใช้อยู่เป็นเรื่องที่ง่าย ในการทำงานกับทั้ง bech32 และ bech32m เราจะพิจารณากฎการเข้ารหัสและการแยกวิเคราะห์สำหรับ address บิตคอยน์แบบ bech32m เนื่องจากพวกมันครอบคลุมความสามารถในการแยกวิเคราะห์บน address แบบ bech32 และเป็นรูปแบบ address ที่แนะนำในปัจจุบันสำหรับกระเป๋าเงินบิตคอยน์

ข้อความจากหลาม: คือผมว่าตรงนี้เขาเขียนไม่รู้เรื่อง แต่เดาว่าเขาน่าจะสื่อว่า เราควรเรียนรู้วิธีการทำงานกับ bech32m เพราะมันเป็นรูปแบบที่แนะนำให้ใช้ในปัจจุบัน และมันมีข้อดีเพราะbech32m สามารถรองรับการอ่าน address แบบ bech32 แบบเก่าได้ด้วย ง่ายๆ คือ ถ้าคุณเรียนรู้วิธีทำงานกับ bech32m คุณจะสามารถทำงานกับทั้ง bech32m และ bech32 ได้ทั้งสองแบบ

bech32m address ริ่มต้นด้วยส่วนที่มนุษย์อ่านได้ (Human Readable Part: HRP) BIP173 มีกฎสำหรับการสร้าง HRP ของคุณเอง แต่สำหรับบิตคอยน์ คุณเพียงแค่จำเป็นต้องรู้จัก HRP ที่ถูกเลือกไว้แล้วตามที่แสดงในตารางข้างล่างนี้

ส่วน HRP ตามด้วยตัวคั่น ซึ่งก็คือเลข "1" ในข้อเสนอก่อนหน้านี้สำหรับตัวคั่นโปรโตคอลได้ใช้เครื่องหมายทวิภาค (colon) แต่ระบบปฏิบัติการและแอปพลิเคชันบางตัวที่อนุญาตให้ผู้ใช้ดับเบิลคลิกคำเพื่อไฮไลต์สำหรับการคัดลอกและวางนั้นจะไม่ขยายการไฮไลต์ไปถึงและผ่านเครื่องหมายทวิภาค

การใช้ตัวเลขช่วยให้มั่นใจได้ว่าการไฮไลต์ด้วยดับเบิลคลิกจะทำงานได้กับโปรแกรมใดๆ ที่รองรับสตริง bech32m โดยทั่วไป (ซึ่งรวมถึงตัวเลขอื่นๆ ด้วย) เลข "1" ถูกเลือกเพราะสตริง bech32 ไม่ได้ใช้เลข 1 ในกรณีอื่น เพื่อป้องกันการแปลงโดยไม่ตั้งใจระหว่างเลข "1" กับตัวอักษรพิมพ์เล็ก "l"

และส่วนอื่นของ bech32m address เรียกว่า "ส่วนข้อมูล" (data part) ซึ่งประกอบด้วยสามองค์ประกอบ:

• Witness version: ไบต์ถัดไปหลังจากตัวคั่นตัวอักษรนี้แทนเวอร์ชันของ segwit ตัวอักษร "q" คือการเข้ารหัสของ "0" สำหรับ segwit v0 ซึ่งเป็นเวอร์ชันแรกของ segwit ที่มีการแนะนำที่อยู่ bech32 ตัวอักษร "p" คือการเข้ารหัสของ "1" สำหรับ segwit v1 (หรือเรียกว่า taproot) ซึ่งเริ่มมีการใช้งาน bech32m มีเวอร์ชันที่เป็นไปได้ทั้งหมด 17 เวอร์ชันของ segwit และสำหรับ Bitcoin จำเป็นต้องให้ไบต์แรกของส่วนข้อมูล bech32m ถอดรหัสเป็นตัวเลข 0 ถึง 16 (รวมทั้งสองค่า)
• Witness program: คือตำแหน่งหลังจาก witnessversion ตั้งแต่ตำแหน่ง 2 ถึง 40 Byte สำหรับ segwit v0 นี้ต้องมีความยาว 20 หรือ 32 Byte ไม่สามารถ ffมีขนาดอื่นได้ สำหรับ segwit v1 ความยาวเดียวที่ถูกกำหนดไว้ ณ เวลาที่เขียนนี้คือ 32 ไบต์ แต่อาจมีการกำหนดความยาวอื่น ๆ ได้ในภายหลัง
• Checksum: มีความยาว 6 ตัวอักษร โดยส่วนนี้ถูกสร้างขึ้นโดยใช้รหัส BCH ซึ่งเป็นประเภทของรหัสแก้ไขข้อผิดพลาด (error corection code) (แต่อย่างไรก็ตาม สำหรับ address บิตคอยน์ เราจะเห็นในภายหลังว่าเป็นสิ่งสำคัญที่จะใช้ checksum เพื่อการตรวจจับข้อผิดพลาดเท่านั้น—ไม่ใช่การแก้ไข

ในส่วนต่อไปหลังจากนี้เราจะลองสร้าง address แบบ bech32 และ bech32m สำหรับตัวอย่างทั้งหมดต่อไปนี้ เราจะใช้โค้ดอ้างอิง bech32m สำหรับ Python

เราจะเริ่มด้วยการสร้างสคริปต์เอาต์พุตสี่ตัว หนึ่งตัวสำหรับแต่ละเอาต์พุต segwit ที่แตกต่างกันที่ใช้ในช่วงเวลาของการเผยแพร่ บวกกับอีกหนึ่งตัวสำหรับเวอร์ชัน segwit ในอนาคตที่ยังไม่มีความหมายที่กำหนดไว้ สคริปต์เหล่านี้แสดงอยู่ในตารางข้างล่างนี้

สำหรับเอาต์พุต P2WPKH witness program มีการผูก commitment ที่สร้างขึ้นในลักษณะเดียวกันกับ P2PKH ที่เห็นใน Legacy Addresses for P2PKH โดย public key ถูกส่งเข้าไปในฟังก์ชันแฮช SHA256 ไดเจสต์ขนาด 32 ไบต์ที่ได้จะถูกส่งเข้าไปในฟังก์ชันแฮช RIPEMD-160 ไดเจสต์ของฟังก์ชันนั้น จะถูกวางไว้ใน witness program

สำหรับเอาต์พุตแบบ pay to witness script hash (P2WSH) เราไม่ได้ใช้อัลกอริทึม P2SH แต่เราจะนำสคริปต์ ส่งเข้าไปในฟังก์ชันแฮช SHA256 และใช้ไดเจสต์ขนาด 32 ไบต์ของฟังก์ชันนั้นใน witness program สำหรับ P2SH ไดเจสต์ SHA256 จะถูกแฮชอีกครั้งด้วย RIPEMD-160 ซึ่งแน่นอนว่าอาจจะไม่ปลอดภัย ในบางกรณี สำหรับรายละเอียด ดูที่ P2SH Collision Attacks ผลลัพธ์ของการใช้ SHA256 โดยไม่มี RIPEMD-160 คือ การผูกพันแบบ P2WSH มีขนาด 32 ไบต์ (256 บิต) แทนที่จะเป็น 20 ไบต์ (160 บิต)

สำหรับเอาต์พุตแบบ pay-to-taproot (P2TR) witness program คือจุดบนเส้นโค้ง secp256k1 มันอาจเป็น public key แบบธรรมดา แต่ในกรณีส่วนใหญ่มันควรเป็น public key ที่ผูกพันกับข้อมูลเพิ่มเติมบางอย่าง เราจะเรียนรู้เพิ่มเติมเกี่ยวกับการผูกพันนั้นในหัวข้อของ taproot

สำหรับตัวอย่างของเวอร์ชัน segwit ในอนาคต เราเพียงแค่ใช้หมายเลขเวอร์ชัน segwit ที่สูงที่สุดที่เป็นไปได้ (16) และ witness program ที่มีขนาดเล็กที่สุดที่อนุญาต (2 ไบต์) โดยมีค่าเป็นศูนย์ (null value)

เมื่อเรารู้หมายเลขเวอร์ชันและ witness program แล้ว เราสามารถแปลงแต่ละอย่างให้เป็น bech32 address ได้ โดยการใช้ไลบรารีอ้างอิง bech32m สำหรับ Python เพื่อสร้าง address เหล่านั้นอย่างรวดเร็ว และจากนั้นมาดูอย่างละเอียดว่าเกิดอะไรขึ้น:

``` $ github=" https://raw.githubusercontent.com" $ wget $github/sipa/bech32/master/ref/python/segwit_addr.py $ python

from segwit_addr import * from binascii import unhexlify help(encode) encode(hrp, witver, witprog) Encode a segwit address. encode('bc', 0, unhexlify('2b626ed108ad00a944bb2922a309844611d25468')) 'bc1q9d3xa5gg45q2j39m9y32xzvygcgay4rgc6aaee' encode('bc', 0, unhexlify('648a32e50b6fb7c5233b228f60a6a2ca4158400268844c4bc295ed5e8c3d626f')) 'bc1qvj9r9egtd7mu2gemy28kpf4zefq4ssqzdzzycj7zjhk4arpavfhsct5a3p' encode('bc', 1, unhexlify('2ceefa5fa770ff24f87c5475d76eab519eda6176b11dbe1618fcf755bfac5311')) 'bc1p9nh05ha8wrljf7ru236awm4t2x0d5ctkkywmu9sclnm4t0av2vgs4k3au7' encode('bc', 16, unhexlify('0000')) 'bc1sqqqqkfw08p' หากเราเปิดไฟล์ segwit_addr.py และดูว่าโค้ดกำลังทำอะไร สิ่งแรกที่เราจะสังเกตเห็นคือความแตกต่างเพียงอย่างเดียวระหว่าง bech32 (ที่ใช้สำหรับ segwit v0) และ bech32m (ที่ใช้สำหรับเวอร์ชัน segwit รุ่นหลัง) คือค่าคงที่: BECH32_CONSTANT = 1 BECH32M_CONSTANT = 0x2bc830a3 ```

และในส่วนต่อไป เราจะเห็นโค้ดที่สร้าง checksum ในขั้นตอนสุดท้ายของการสร้าง checksum ค่าคงที่ที่เหมาะสมถูกรวมเข้ากับข้อมูลอื่น ๆ โดยใช้การดำเนินการ xor ค่าเดียวนั้นคือความแตกต่างเพียงอย่างเดียวระหว่าง bech32 และ bech32m

เมื่อสร้าง checksum แล้ว อักขระ 5 บิตแต่ละตัวในส่วนข้อมูล (รวมถึง witness version, witness program และ checksum) จะถูกแปลงเป็นตัวอักษรและตัวเลข

สำหรับการถอดรหัสกลับเป็นสคริปต์เอาต์พุต เราทำงานย้อนกลับ ลองใช้ไลบรารีอ้างอิงเพื่อถอดรหัส address สอง address ของเรา: ```

help(decode) decode(hrp, addr) Decode a segwit address. _ = decode("bc", "bc1q9d3xa5gg45q2j39m9y32xzvygcgay4rgc6aaee") [0], bytes([1]).hex() (0, '2b626ed108ad00a944bb2922a309844611d25468') _ = decode("bc", "bc1p9nh05ha8wrljf7ru236awm4t2x0d5ctkkywmu9sclnm4t0av2vgs4k3au7") [0], bytes([1]).hex() (1, '2ceefa5fa770ff24f87c5475d76eab519eda6176b11dbe1618fcf755bfac5311') เราได้รับทั้ง witness version และ witness program กลับมา สิ่งเหล่านี้สามารถแทรกลงในเทมเพลตสำหรับสคริปต์เอาต์พุตของเรา: ตัวอย่างเช่น: OP_0 2b626ed108ad00a944bb2922a309844611d25468 OP_1 2ceefa5fa770ff24f87c5475d76eab519eda6176b11dbe1618fcf755bfac5311 ``` คำเตือน: ข้อผิดพลาดที่อาจเกิดขึ้นที่ควรระวังคือ witness version ที่มีค่า 0 ใช้สำหรับ OP_0 ซึ่งใช้ไบต์ 0x00—แต่เวอร์ชัน witness ที่มีค่า 1 ใช้ OP_1 ซึ่งเป็นไบต์ 0x51 เวอร์ชัน witness 2 ถึง 16 ใช้ไบต์ 0x52 ถึง 0x60 ตามลำดับ

เมื่อทำการเขียนโค้ดเพื่อเข้ารหัสหรือถอดรหัส bech32m เราขอแนะนำอย่างยิ่งให้คุณใช้เวกเตอร์ทดสอบ (test vectors) ที่มีให้ใน BIP350 เราขอให้คุณตรวจสอบให้แน่ใจว่าโค้ดของคุณผ่านเวกเตอร์ทดสอบที่เกี่ยวข้องกับการจ่ายเงินให้กับเวอร์ชัน segwit ในอนาคตที่ยังไม่ได้รับการกำหนด สิ่งนี้จะช่วยให้ซอฟต์แวร์ของคุณสามารถใช้งานได้อีกหลายปีข้างหน้า แม้ว่าคุณอาจจะไม่สามารถเพิ่มการรองรับคุณสมบัติใหม่ ๆ ของบิตคอยน์ได้ทันทีที่คุณสมบัตินั้น ๆ เริ่มใช้งานได้

Private Key Formats

private key สามารถถูกแสดงได้ในหลาย ๆ รูปแบบที่ต่างกันซึ่งสามารถแปลงเป็นตัวเลขขนาด 256 bit ชุดเดียวกันได้ ดังที่เราจะแสดงให้ดูในตารางข้างล่างนี้ รูปแบบที่แตกต่างกันถูกใช้ในสถานการณ์ที่ต่างกัน รูปแบบเลขฐานสิบหก (Hexadecimal) และรูปแบบไบนารี (raw binary) ถูกใช้ภายในซอฟต์แวร์และแทบจะไม่แสดงให้ผู้ใช้เห็น WIF ถูกใช้สำหรับการนำเข้า/ส่งออกกุญแจระหว่างกระเป๋าเงินและมักใช้ในการแสดงกุญแจส่วนตัวแบบ QR code

รูปแบบของ private key ในปัจจุบัน

ซอฟต์แวร์กระเป๋าเงินบิตคอยน์ในยุคแรกได้สร้าง private key อิสระอย่างน้อยหนึ่งดอกเมื่อกระเป๋าเงินของผู้ใช้ใหม่ถูกเริ่มต้น เมื่อชุดกุญแจเริ่มต้นถูกใช้ทั้งหมดแล้ว กระเป๋าเงินอาจสร้าง private key เพิ่มเติม private key แต่ละดอกสามารถส่งออกหรือนำเข้าได้ ทุกครั้งที่มีการสร้างหรือนำเข้า private key ใหม่ จะต้องมีการสร้างการสำรองข้อมูลกระเป๋าเงินใหม่ด้วย

กระเป๋าเงินบิตคอยน์ในยุคหลังเริ่มใช้กระเป๋าเงินแบบกำหนดได้ (deterministic wallets) ซึ่ง private key ทั้งหมดถูกสร้างจาก seed เพียงค่าเดียว กระเป๋าเงินเหล่านี้จำเป็นต้องสำรองข้อมูลเพียงครั้งเดียวเท่านั้นสำหรับการใช้งานบนเชนทั่วไป แต่อย่างไรก็ตาม หากผู้ใช้ส่งออก private key เพียงดอกเดียวจากกระเป๋าเงินเหล่านี้ และผู้โจมตีได้รับกุญแจนั้นรวมถึงข้อมูลที่ไม่ใช่ข้อมูลส่วนตัวบางอย่างเกี่ยวกับกระเป๋าเงิน พวกเขาอาจสามารถสร้างกุญแจส่วนตัวใด ๆ ในกระเป๋าเงินได้—ทำให้ผู้โจมตีสามารถขโมยเงินทั้งหมดในกระเป๋าเงินได้ นอกจากนี้ ยังไม่สามารถนำเข้ากุญแจสู่กระเป๋าเงินแบบกำหนดได้ นี่หมายความว่าแทบไม่มีกระเป๋าเงินสมัยใหม่ที่รองรับความสามารถในการส่งออกหรือนำเข้ากุญแจเฉพาะดอก ข้อมูลในส่วนนี้มีความสำคัญหลัก ๆ สำหรับผู้ที่ต้องการความเข้ากันได้กับกระเป๋าเงินบิตคอยน์ในยุคแรก ๆ

รูปแบบของ private key (รูปแบบการเข้ารหัส) private key เดียวกันในแต่ละ format รูปแบบการแสดงผลทั้งหมดเหล่านี้เป็นวิธีต่างๆ ในการแสดงเลขจำนวนเดียวกัน private key เดียวกัน พวกมันดูแตกต่างกัน แต่รูปแบบใดรูปแบบหนึ่งสามารถแปลงไปเป็นรูปแบบอื่นได้อย่างง่ายดาย

Compressed Private Keys

คำว่า compressed private key ที่ใช้กันทั่วไปนั้นเป็นคำที่เรียกผิด เพราะเมื่อ private key ถูกส่งออกไปในรูปแบบ WIF-compressed มันจะมีความยาวมากกว่า private key แบบ uncompressed 1 Byte (เลข 01 ในช่อง Hex-compressed ในตารางด้านล่างนี้) ซึ่งบ่งบอกว่า private key ตัวนี้ มาจากกระเป๋าเงินรุ่นใหม่และควรใช้เพื่อสร้าง compressed public key เท่านั้น

private key เองไม่ได้ถูกบีบอัดและไม่สามารถบีบอัดได้ คำว่า compressed private key จริงๆ แล้วหมายถึง " private key ซึ่งควรใช้สร้าง compressed public key เท่านั้น" ในขณะที่ uncompressed private key จริงๆ แล้วหมายถึง “private key ซึ่งควรใช้สร้าง uncompressed public key เท่านั้น” คุณควรใช้เพื่ออ้างถึงรูปแบบการส่งออกเป็น "WIF-compressed" หรือ "WIF" เท่านั้น และไม่ควรอ้างถึง private key ว่า "บีบอัด" เพื่อหลีกเลี่ยงความสับสนต่อไป

ตารางนี้แสดงกุญแจเดียวกันที่ถูกเข้ารหัสในรูปแบบ WIF และ WIF-compressed

ตัวอย่าง: กุญแจเดียวกัน แต่รูปแบบต่างกัน

สังเกตว่ารูปแบบ Hex-compressed มีไบต์เพิ่มเติมหนึ่งไบต์ที่ท้าย (01 ในเลขฐานสิบหก) ในขณะที่คำนำหน้าเวอร์ชันการเข้ารหัสแบบ base58 เป็นค่าเดียวกัน (0x80) สำหรับทั้งรูปแบบ WIF และ WIF-compressed การเพิ่มหนึ่งไบต์ที่ท้ายของตัวเลขทำให้อักขระตัวแรกของการเข้ารหัสแบบ base58 เปลี่ยนจาก 5 เป็น K หรือ L

คุณสามารถคิดถึงสิ่งนี้เหมือนกับความแตกต่างของการเข้ารหัสเลขฐานสิบระหว่างตัวเลข 100 และตัวเลข 99 ในขณะที่ 100 มีความยาวมากกว่า 99 หนึ่งหลัก มันยังมีคำนำหน้าเป็น 1 แทนที่จะเป็นคำนำหน้า 9 เมื่อความยาวเปลี่ยนไป มันส่งผลต่อคำนำหน้า ในระบบ base58 คำนำหน้า 5 เปลี่ยนเป็น K หรือ L เมื่อความยาวของตัวเลขเพิ่มขึ้นหนึ่งไบต์

TIPจากหลาม: ผมว่าเขาเขียนย่อหน้านี้ไม่ค่อยรู้เรื่อง แต่ความหมายมันจะประมาณว่า เหมือนถ้าเราต้องการเขียนเลข 100 ในฐาน 10 เราต้องใช้สามตำแหน่ง 100 แต่ถ้าใช้ฐาน 16 เราจะใช้แค่ 2 ตำแหน่งคือ 64 ซึ่งมีค่าเท่ากัน

ถ้ากระเป๋าเงินบิตคอยน์สามารถใช้ compressed public key ได้ มันจะใช้ในทุกธุรกรรม private key ในกระเป๋าเงินจะถูกใช้เพื่อสร้างจุด public key บนเส้นโค้ง ซึ่งจะถูกบีบอัด compressed public key จะถูกใช้เพื่อสร้าง address และ address เหล่านี้จะถูกใช้ในธุรกรรม เมื่อส่งออก private key จากกระเป๋าเงินใหม่ที่ใช้ compressed public key WIF จะถูกปรับเปลี่ยน โดยเพิ่มต่อท้ายขนาด 1 ไบต์ 01 ให้กับ private key ที่ถูกเข้ารหัสแบบ base58check ที่ได้จะเรียกว่า "WIF-compressed" และจะขึ้นต้นด้วยอักษร K หรือ L แทนที่จะขึ้นต้นด้วย "5" เหมือนกับกรณีของคีย์ที่เข้ารหัสแบบ WIF (ไม่บีบอัด) จากกระเป๋าเงินรุ่นเก่า

Advanced Keys and Addresses

ในส่วนต่อไปนี้ เราจะดูรูปแบบของคีย์และ address เช่น vanity addresses และ paper wallets

vanity addresses

vanity addresses หรือ addresses แบบกำหนดเอง คือ address ที่มีข้อความที่มนุษย์อ่านได้และสามารถใช้งานได้จริง ตัวอย่างเช่น 1LoveBPzzD72PUXLzCkYAtGFYmK5vYNR33 อย่างที่เห็นว่ามันเป็น address ที่ถูกต้องซึ่งมีตัวอักษรเป็นคำว่า Love เป็นตัวอักษร base58 สี่ตัวแรก addresses แบบกำหนดเองต้องอาศัยการสร้างและทดสอบ private key หลายพันล้านตัวจนกว่าจะพบ address ที่มีรูปแบบตามที่ต้องการ แม้ว่าจะมีการปรับปรุงบางอย่างในอัลกอริทึมการสร้าง addresses แบบกำหนดเอง แต่กระบวนการนี้ต้องใช้การสุ่มเลือก private key มาสร้าง public key และนำไปสร้าง address และตรวจสอบว่าตรงกับรูปแบบที่ต้องการหรือไม่ โดยทำซ้ำหลายพันล้านครั้งจนกว่าจะพบที่ตรงกัน

เมื่อพบ address ที่ตรงกับรูปแบบที่ต้องการแล้ว private key ที่ใช้สร้าง address นั้นสามารถใช้โดยเจ้าของเพื่อใช้จ่ายบิตคอยน์ได้เหมือนกับ address อื่น ๆ ทุกประการ address ที่กำหนดเองไม่ได้มีความปลอดภัยน้อยกว่าหรือมากกว่าที่ address ๆ พวกมันขึ้นอยู่กับการเข้ารหัสเส้นโค้งรูปวงรี (ECC) และอัลกอริทึมแฮชที่ปลอดภัย (SHA) เหมือนกับ address อื่น ๆ คุณไม่สามารถค้นหา private key ของ address ที่ขึ้นต้นด้วยรูปแบบที่กำหนดเองได้ง่ายกว่า address อื่น ๆ

ตัวอย่างเช่น ยูจีเนียเป็นผู้อำนวยการการกุศลเพื่อเด็กที่ทำงานในฟิลิปปินส์ สมมติว่ายูจีเนียกำลังจัดการระดมทุนและต้องการใช้ address ที่กำหนดเองเพื่อประชาสัมพันธ์การระดมทุน ยูจีเนียจะสร้าง address ที่กำหนดเองที่ขึ้นต้นด้วย "1Kids" เพื่อส่งเสริมการระดมทุนเพื่อการกุศลสำหรับเด็ก มาดูกันว่า address ที่กำหนดเองนี้จะถูกสร้างขึ้นอย่างไรและมีความหมายอย่างไรต่อความปลอดภัยของการกุศลของยูจีเนีย

การสร้าง address ที่กำหนดเอง

ควรเข้าใจว่า address ของบิตคอยน์เป็นเพียงตัวเลขที่แสดงด้วยสัญลักษณ์ในรูปแบบตัวอักษร base58 เท่านั้น เพราะฉะนั้นแล้ว การค้นหารูปแบบเช่น "1Kids" สามารถมองได้ว่าเป็นการค้นหาที่อยู่ในช่วงตั้งแต่ 1Kids11111111111111111111111111111 ถึง 1Kidszzzzzzzzzzzzzzzzzzzzzzzzzzzzz มีประมาณ 5829 (ประมาณ 1.4 × 1051) address ในช่วงนั้น ทั้งหมดขึ้นต้นด้วย "1Kids" ตารางด้านล่างนี้แสดงช่วงของ address ที่มีคำนำหน้า 1Kids ลองดูรูปแบบ "1Kids" ในรูปของตัวเลขและดูว่าเราอาจพบรูปแบบนี้ใน bitcoin address บ่อยแค่ไหน โดยตารางข้างล่างนี้แสดงให้เห็นถีงคอมพิวเตอร์เดสก์ท็อปทั่วไปที่ไม่มีฮาร์ดแวร์พิเศษสามารถค้นหาคีย์ได้ประมาณ 100,000 คีย์ต่อวินาที

ความถี่ของ address ที่กำหนดเอง (1KidsCharity) และเวลาค้นหาเฉลี่ยบนคอมพิวเตอร์เดสก์ท็อป

ดังที่เห็นได้ ยูจีเนียคงไม่สามารถสร้าง address แบบกำหนดเอง "1KidsCharity" ได้ในเร็ว ๆ นี้ แม้ว่าเธอจะมีคอมพิวเตอร์หลายพันเครื่องก็ตาม ทุกตัวอักษรที่เพิ่มขึ้นจะเพิ่มความยากขึ้น 58 เท่า รูปแบบที่มีมากกว่า 7 ตัวอักษรมักจะถูกค้นพบโดยฮาร์ดแวร์พิเศษ เช่น คอมพิวเตอร์เดสก์ท็อปที่สร้างขึ้นเป็นพิเศษที่มีหน่วยประมวลผลกราฟิก (GPUs) หลายตัว การค้นหา address แบบกำหนดเองบนระบบ GPU เร็วกว่าบน CPU ทั่วไปหลายเท่า

อีกวิธีหนึ่งในการหา address แบบกำหนดเองคือการจ้างงานไปยังกลุ่มคนขุด vanity addresses กลุ่มคนขุดvanity addresses เป็นบริการที่ให้ผู้ที่มีฮาร์ดแวร์ที่เร็วได้รับบิตคอยน์จากการค้นหา vanity addresses ให้กับผู้อื่น ยูจีเนียสามารถจ่ายค่าธรรมเนียมเพื่อจ้างงานการค้นหา vanity addresses ที่มีรูปแบบ 7 ตัวอักษรและได้ผลลัพธ์ในเวลาเพียงไม่กี่ชั่วโมงแทนที่จะต้องใช้ CPU ค้นหาเป็นเดือน ๆ

การสร้างที่ address แบบกำหนดเองเป็นการใช้วิธีการแบบ brute-force (ลองทุกความเป็นไปได้): ลองใช้คีย์สุ่ม ตรวจสอบ address ที่ได้ว่าตรงกับรูปแบบที่ต้องการหรือไม่ และทำซ้ำจนกว่าจะสำเร็จ

ความปลอดภัยและความเป็นส่วนตัวของ address แบบกำหนดเอง

address แบบกำหนดเองเคยเป็นที่นิยมในช่วงแรก ๆ ของบิตคอยน์ แต่แทบจะหายไปจากการใช้งานทั้งหมดในปี 2023 มีสาเหตุที่น่าจะเป็นไปได้สองประการสำหรับแนวโน้มนี้: - Deterministic wallets: ดังที่เราเห็นในพาร์ทของการกู้คืน การที่จะสำรองคีย์ทุกตัวในกระเป๋าเงินสมัยใหม่ส่วนใหญ่นั้น ทำเพียงแค่จดคำหรือตัวอักษรไม่กี่ตัว ซึ่งนี่เป็นผลจากการสร้างคีย์ทุกตัวในกระเป๋าเงินจากคำหรือตัวอักษรเหล่านั้นโดยใช้อัลกอริทึมแบบกำหนดได้ จึงไม่สามารถใช้ address แบบกำหนดเองกับ Deterministic wallets ได้ เว้นแต่ผู้ใช้จะสำรองข้อมูลเพิ่มเติมสำหรับ address แบบกำหนดเองทุก address ที่พวกเขาสร้าง ในทางปฏิบัติแล้วกระเป๋าเงินส่วนใหญ่ที่ใช้การสร้างคีย์แบบกำหนดได้ โดยไม่อนุญาตให้นำเข้าคีย์ส่วนตัวหรือการปรับแต่งคีย์จากโปรแกรมสร้าง address ที่กำหนดเอง

• การหลีกเลี่ยงการใช้ address ซ้ำซ้อน: การใช้ address แบบกำหนดเองเพื่อรับการชำระเงินหลายครั้งไปยัง address เดียวกันจะสร้างความเชื่อมโยงระหว่างการชำระเงินทั้งหมดเหล่านั้น นี่อาจเป็นที่ยอมรับได้สำหรับยูจีเนียหากองค์กรไม่แสวงหาผลกำไรของเธอจำเป็นต้องรายงานรายได้และค่าใช้จ่ายต่อหน่วยงานภาษีอยู่แล้ว แต่อย่างไรก็ตาม มันยังลดความเป็นส่วนตัวของคนที่จ่ายเงินให้ยูจีเนียหรือรับเงินจากเธอด้วย ตัวอย่างเช่น อลิซอาจต้องการบริจาคโดยไม่เปิดเผยตัวตน และบ็อบอาจไม่ต้องการให้ลูกค้ารายอื่นของเขารู้ว่าเขาให้ราคาส่วนลดแก่ยูจีเนีย

เราไม่คาดว่าจะเห็น address แบบกำหนดเองมากนักในอนาคต เว้นแต่ปัญหาที่กล่าวมาก่อนหน้านี้จะได้รับการแก้ไข

Paper Wallets

paper wallet หรือก็คือ private key ที่พิมพ์ลงในกระดาษ และโดยทั่วไปแล้วมักจะมีข้อมูลของ public key หรือ address บนกระดาษนั้นด้วยแม้ว่าจริง ๆ แล้วมันจะสามารถคำนวณได้ด้วย private key ก็ตาม

คำเตือน: paper wallet เป็นเทคโนโลยีที่ล้าสมัยแล้วและอันตรายสำหรับผู้ใช้ส่วนใหญ่ เพราะเป็นเรื่องยากที่จะสร้างมันอย่างปลอดภัย โดยเฉพาะอย่างยิ่งความเป็นไปได้ที่โค้ดที่ใช้สร้างอาจถูกแทรกแซงด้วยผู้ไม่ประสงค์ดี และอาจจะทำให้ผู้ใช้โดนขโมยบิตคอยน์ทั้งหมดไปได้ paper wallet ถูกแสดงที่นี่เพื่อวัตถุประสงค์ในการให้ข้อมูลเท่านั้นและไม่ควรใช้สำหรับเก็บบิตคอยน์

paper wallet ได้ถูกออกแบบมาเพื่อเป็นของขวัญและมีธีมตามฤดูกาล เช่น คริสต์มาสและปีใหม่ ส่วนเหตุผลอื่น ๆ ถูกออกแบบเพื่อการเก็บรักษาในตู้นิรภัยของธนาคารหรือตู้เซฟโดยมี private key ถูกซ่อนไว้ในบางวิธี ไม่ว่าจะด้วยสติกเกอร์แบบขูดที่ทึบแสงหรือพับและปิดผนึกด้วยแผ่นฟอยล์กันการงัดแงะ ส่วนการออกแบบอื่น ๆ มีสำเนาเพิ่มเติมของคีย์และ address ในรูปแบบของตอนฉีกที่แยกออกได้คล้ายกับตั๋ว ช่วยให้คุณสามารถเก็บสำเนาหลายชุดเพื่อป้องกันจากไฟไหม้ น้ำท่วม หรือภัยพิบัติทางธรรมชาติอื่น ๆ

จากการออกแบบเดิมของบิตคอยน์ที่เน้น public key ไปจนถึง address และสคริปต์สมัยใหม่อย่าง bech32m และ pay to taproot—และแม้แต่การอัพเกรดบิตคอยน์ในอนาคต—คุณได้เรียนรู้วิธีที่โปรโตคอลบิตคอยน์อนุญาตให้ผู้จ่ายเงินระบุกระเป๋าเงินที่ควรได้รับการชำระเงินของพวกเขา แต่เมื่อเป็นกระเป๋าเงินของคุณเองที่รับการชำระเงิน คุณจะต้องการความมั่นใจว่าคุณจะยังคงเข้าถึงเงินนั้นได้แม้ว่าจะเกิดอะไรขึ้นกับข้อมูลกระเป๋าเงินของคุณ ในบทต่อไป เราจะดูว่ากระเป๋าเงินบิตคอยน์ถูกออกแบบอย่างไรเพื่อปกป้องเงินทุนจากภัยคุกคามหลากหลายรูปแบบ

@ f7d424b5:618c51e8

GAMERS, Join us for a vicless episode where we talk about AI for a change and how it has been impacting our lives. I promise it's video games related.

Stuff cited:

• Look at the bags under the Marathon guy's eyes
• Evidence that Marathon stole art

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Reminder that this is a Value4Value podcast so any support you can give us via a modern podcasting app is greatly appreciated and we will never bow to corporate sponsors!

@ c631e267:c2b78d3e

Information ohne Reflexion ist geistiger Flugsand. \ Ernst Reinhardt

Der lateinische Ausdruck «Quo vadis» als Frage nach einer Entwicklung oder Ausrichtung hat biblische Wurzeln. Er wird aber auch in unserer Alltagssprache verwendet, laut Duden meist als Ausdruck von Besorgnis oder Skepsis im Sinne von: «Wohin wird das führen?»

Der Sinn und Zweck von so mancher politischen Entscheidung erschließt sich heutzutage nicht mehr so leicht, und viele Trends können uns Sorge bereiten. Das sind einerseits sehr konkrete Themen wie die zunehmende Militarisierung und die geschichtsvergessene Kriegstreiberei in Europa, deren Feindbildpflege aktuell beim Gedenken an das Ende des Zweiten Weltkriegs beschämende Formen annimmt.

Auch das hohe Gut der Schweizer Neutralität scheint immer mehr in Gefahr. Die schleichende Bewegung der Eidgenossenschaft in Richtung NATO und damit weg von einer Vermittlerposition erhält auch durch den neuen Verteidigungsminister Anschub. Martin Pfister möchte eine stärkere Einbindung in die europäische Verteidigungsarchitektur, verwechselt bei der Argumentation jedoch Ursache und Wirkung.

Das Thema Gesundheit ist als Zugpferd für Geschäfte und Kontrolle offenbar schon zuverlässig etabliert. Die hauptsächlich privat finanzierte Weltgesundheitsorganisation (WHO) ist dabei durch ein Netzwerk von sogenannten «Collaborating Centres» sogar so weit in nationale Einrichtungen eingedrungen, dass man sich fragen kann, ob diese nicht von Genf aus gesteuert werden.

Das Schweizer Bundesamt für Gesundheit (BAG) übernimmt in dieser Funktion ebenso von der WHO definierte Aufgaben und Pflichten wie das deutsche Robert Koch-Institut (RKI). Gegen die Covid-«Impfung» für Schwangere, die das BAG empfiehlt, obwohl es fehlende wissenschaftliche Belege für deren Schutzwirkung einräumt, formiert sich im Tessin gerade Widerstand.

Unter dem Stichwort «Gesundheitssicherheit» werden uns die Bestrebungen verkauft, essenzielle Dienste mit einer biometrischen digitalen ID zu verknüpfen. Das dient dem Profit mit unseren Daten und führt im Ergebnis zum Verlust unserer demokratischen Freiheiten. Die deutsche elektronische Patientenakte (ePA) ist ein Element mit solchem Potenzial. Die Schweizer Bürger haben gerade ein Referendum gegen das revidierte E-ID-Gesetz erzwungen. In Thailand ist seit Anfang Mai für die Einreise eine «Digital Arrival Card» notwendig, die mit ihrer Gesundheitserklärung einen Impfpass «durch die Hintertür» befürchten lässt.

Der massive Blackout auf der iberischen Halbinsel hat vermehrt Fragen dazu aufgeworfen, wohin uns Klimawandel-Hysterie und «grüne» Energiepolitik führen werden. Meine Kollegin Wiltrud Schwetje ist dem nachgegangen und hat in mehreren Beiträgen darüber berichtet. Wenig überraschend führen interessante Spuren mal wieder zu internationalen Großbanken, Globalisten und zur EU-Kommission.

Zunehmend bedenklich ist aber ganz allgemein auch die manifestierte Spaltung unserer Gesellschaften. Angesichts der tiefen und sorgsam gepflegten Gräben fällt es inzwischen schwer, eine zukunftsfähige Perspektive zu erkennen. Umso begrüßenswerter sind Initiativen wie die Kölner Veranstaltungsreihe «Neue Visionen für die Zukunft». Diese möchte die Diskussionskultur reanimieren und dazu beitragen, dass Menschen wieder ohne Angst und ergebnisoffen über kontroverse Themen der Zeit sprechen.

Quo vadis – Wohin gehen wir also? Die Suche nach Orientierung in diesem vermeintlichen Chaos führt auch zur Reflexion über den eigenen Lebensweg. Das ist positiv insofern, als wir daraus Kraft schöpfen können. Ob derweil der neue Papst, dessen «Vorgänger» Petrus unsere Ausgangsfrage durch die christliche Legende zugeschrieben wird, dabei eine Rolle spielt, muss jede/r selbst wissen. Mir persönlich ist allein schon ein Führungsanspruch wie der des Petrusprimats der römisch-katholischen Kirche eher suspekt.

[Titelbild: Pixabay]

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ 57d1a264:69f1fee1

Finale: once the industry-standard of music notation software, now a cautionary tale. In this video, I explore how it slowly lost its crown through decades of missed opportunities - eventually leading to creative collapse due to various bureaucratic intrigues, unforeseen technological changes and some of the jankiest UI/UX you've ever seen.

https://www.youtube.com/watch?v=Yqaon6YHzaU

originally posted at https://stacker.news/items/976219

@ 472f440f:5669301e

Marty's Bent

via me

It seems like every other day there's another company announced that is going public with the intent of competing with Strategy by leveraging capital markets to create financial instruments to acquire Bitcoin in a way that is accretive for shareholders. This is certainly a very interesting trend, very bullish for bitcoin in the short-term, and undoubtedly making it so bitcoin is top of mind in the mainstream. I won't pretend to know whether or not these strategies will ultimately be successful or fail in the short, medium or long term. However, one thing I do know is that the themes that interest me, both here at TFTC and in my role as Managing Partner at Ten31, are companies that are building good businesses that are efficient, have product-market-fit, generate revenues and profits and roll those profits into bitcoin.

While it seems pretty clear that Strategy has tapped into an arbitrage that exists in capital markets, it's not really that exciting. From a business perspective, it's actually pretty straightforward and simple; find where potential arbitrage opportunities exists between pools of capital looking for exposure to spot bitcoin or bitcoin's volatility but can't buy the actual asset, and provide them with products that give them access to exposure while simultaneously creating a cult-like retail following. Rinse and repeat. To the extent that this strategy is repeatable is yet to be seen. I imagine it can expand pretty rapidly. Particularly if we have a speculative fervor around companies that do this. But in the long run, I think the signal is falling back to first principles, looking for businesses that are actually providing goods and services to the broader economy - not focused on the hyper-financialized part of the economy - to provide value and create efficiencies that enable higher margins and profitability.

With this in mind, I think it's important to highlight the combined leverage that entrepreneurs have by utilizing bitcoin treasuries and AI tools that are emerging and becoming more advanced by the week. As I said in the tweet above, there's never been a better time to start a business that finds product-market fit and cash flows quickly with a team of two to three people. If you've been reading this rag over the last few weeks, you know that I've been experimenting with these AI tools and using them to make our business processes more efficient here at TFTC. I've also been using them at Ten31 to do deep research and analysis.

It has become abundantly clear to me that any founder or entrepreneur that is not utilizing the AI tools that are emerging is going to get left behind. As it stands today, all anyone has to do to get an idea from a thought in your head to the prototype stage to a minimum viable product is to hop into something like Claude or ChatGPT, have a brief conversation with an AI model that can do deep research about a particular niche that you want to provide a good service to and begin building.

Later this week, I will launch an app called Opportunity Cost in the Chrome and Firefox stores. It took me a few hours of work over the span of a week to ideate and iterate on the concept to the point where I had a working prototype that I handed off to a developer who is solving the last mile problem I have as an "idea guy" of getting the product to market. Only six months ago, accomplishing something like this would have been impossible for me. I've never written a line of code that's actually worked outside of the modded MySpace page I made back in middle school. I've always had a lot of ideas but have never been able to effectively communicate them to developers who can actually build them. With a combination of ChatGPT-03 and Replit, I was able to build an actual product that works. I'm using it in my browser today. It's pretty insane.

There are thousands of people coming to the same realization at the same time right now and going out there and building niche products very cheaply, with small teams, they are getting to market very quickly, and are amassing five figures, six figures, sometimes seven figures of MRR with extremely high profit margins. What most of these entrepreneurs have not really caught on to yet is that they should be cycling a portion - in my opinion, a large portion - of those profits into bitcoin. The combination of building a company utilizing these AI tools, getting it to market, getting revenue and profits, and turning those profits into bitcoin cannot be understated. You're going to begin seeing teams of one to ten people building businesses worth billions of dollars and they're going to need to store the value they create, any money that cannot be debased.

nostr:nprofile1qyx8wumn8ghj7cnjvghxjmcpz4mhxue69uhk2er9dchxummnw3ezumrpdejqqgy8fkmd9kmm8yp4lea2cx0g8fyz27g4ud7572j4edx2v6lz6aa23qmp5dth , one of the co-founders of Ten31, wrote about this in early 2024, bitcoin being the fourth lever of equity value growth for companies.

Bitcoin Treasury - The Fourth Lever to Equity Value Growth

We already see this theme playing out at Ten31 with some of our portfolio companies, most notably nostr:nprofile1qy2hwumn8ghj7etyv4hzumn0wd68ytnvv9hxgqgdwaehxw309ahx7uewd3hkcqpqex7mdykw786qxvmtuls208uyxmn0hse95rfwsarvfde5yg6wy7jqjrm2qp , which recently released some of their financials, highlighting the fact that they're extremely profitable with high margins and a relatively small team (\~75). This is extremely impressive, especially when you consider the fact that they're a global company competing with the likes of Coinbase and Block, which have each thousands of employees.

Even those who are paying attention to the developments in the AI space and how the tools can enable entrepreneurs to build faster aren't really grasping the gravity of what's at play here. Many are simply thinking of consumer apps that can be built and distributed quickly to market, but the ways in which AI can be implemented extend far beyond the digital world. Here's a great example of a company a fellow freak is building with the mindset of keeping the team small, utilizing AI tools to automate processes and quickly push profits into bitcoin.

via Cormac

Again, this is where the exciting things are happening in my mind. People leveraging new tools to solve real problems to drive real value that ultimately produce profits for entrepreneurs. The entrepreneurs who decide to save those profits in bitcoin will find that the equity value growth of their companies accelerates exponentially as they provide more value, gain more traction, and increase their profits while also riding the bitcoin as it continues on its monetization phase. The compounded leverage of building a company that leverages AI tools and sweeps profits into bitcoin is going to be one of the biggest asymmetric plays of the next decade. Personally, I also see it as something that's much more fulfilling than the pure play bitcoin treasury companies that are coming to market because consumers and entrepreneurs are able to recive and provide a ton of value in the real economy.

If you're looking to stay on top of the developments in the AI space and how you can apply the tools to help build your business or create a new business, I highly recommend you follow somebody like Greg Isenberg, whose Startup Ideas Podcast has been incredibly valuable for me as I attempt to get a lay of the land of how to implement AI into my businesses.

America's Two Economies

In my recent podcast with Lyn Alden, she outlined how our trade deficits create a cycle that's reshaping America's economic geography. As Alden explained, US trade deficits pump dollars into international markets, but these dollars don't disappear - they return as investments in US financial assets. This cycle gradually depletes industrial heartlands while enriching financial centers on the coasts, creating what amounts to two separate American economies.

"We're basically constantly taking economic vibrancy out of Michigan and Ohio and rural Pennsylvania where the steel mills were... and stuffing it back into financial assets in New York and Silicon Valley." - nostr:nprofile1qy2hwumn8ghj7mn0wd68ytndv9kxjm3wdahxcqg5waehxw309ahx7um5wfekzarkvyhxuet5qqsw4v882mfjhq9u63j08kzyhqzqxqc8tgf740p4nxnk9jdv02u37ncdhu7e3

This pattern has persisted for over four decades, accelerating significantly since the early 1980s. Alden emphasized that while economists may argue there's still room before reaching a crisis point, the political consequences are already here. The growing divide between these two Americas has fueled populist sentiment as voters who feel left behind seek economic rebalancing, even if they can't articulate the exact mechanisms causing their hardship.

Check out the full podcast here for more on China's manufacturing dominance, Trump's tariff strategy, and the future of Bitcoin as a global reserve asset. All discussed in under 60 minutes.

Headlines of the Day

Trump's Saudi Summit: Peace and Economic Ties - via X

MSTR Edges Closer To S\&P 500 With Just 89 Trading Days Left - via X

Get our new STACK SATS hat - via tftcmerch.io

Individuals Shed 247K Bitcoin As Businesses Gain 157K - via X

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Final thought...

My boys have started a game in the car where we count how many Waymos we see on the road while driving around town. Pretty crazy how innately stoked they are about that particular car.

---

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Vi recentemente um post onde a pessoa diz que aquele final do filme O Doutrinador (2019) não faz sentido porque mesmo o protagonista explodindo o Palácio dos Três Poderes, não acaba com a corrupção no Brasil.

Progressistas não sabem ler e não conseguem interpretar textos corretamente. O final de Doutrinador não tem a ver com isso, tem a ver com a relação entre o Herói e a sua Cidade.

Nas histórias em quadrinhos há uma ligação entre a cidade e o Super-Herói. Gotham City por exemplo, cria o Batman. Isso é mostrado em The Batman (2022) e em Batman: Cavaleiro das Trevas, quando aquele garoto no final, diz para o Batman não fugir, porque ele queria ver o Batman de novo. E o Comissário Gordon diz que o "Batman é o que a cidade de Gotham precisa."

Batman: Cavaleiro das Trevas Ressurge mostra a cidade de Gotham sendo tomada pela corrupção e pela ideologia do Bane. A Cidade vai definhando em imoralidade e o Bruce, ao olhar da prisão a cidade sendo destruída, decide que o Batman precisa voltar porque se Gotham for destruída, o Batman é destruído junto. E isso o da forças para consegue fugir daquele poço e voltar para salvar Gotham.

Isso também é mostrado em Demolidor. Na série Demolidor o Matt Murdock sempre fala que precisa defender a cidade Cozinha do Inferno; que o Fisk não vai dominar a cidade e fazer o que ele quiser nela. Inclusive na terceira temporada isso fica mais evidente na luta final na mansão do Fisk, onde Matt grita que agora a cidade toda vai saber o que ele fez; a cidade vai ver o mal que ele é para Hell's Kitchen, porque a gente sabe que o Fisk fez de tudo para a imagem do Demolidor entrar e descrédito perante os cidadãos, então o que acontece no final do filme O Doutrinador não significa que ele está acabando com a corrupção quando explode o Congresso, ele está praticamente interrompendo o ciclo do sistema, colocando uma falha em sua engrenagem.

Quando você ouve falar de Brasília, você pensa na corrupção dos políticos, onde a farra acontece,, onde corruptos desviam dinheiro arrecadado dos impostos, impostos estes que são centralizados na União. Então quando você ouve falarem de Brasília, sempre pensa que o pessoal que mora lá, mora junto com tudo de podre que acontece no Brasil.

Logo quando o Doutrinador explode tudo ali, ele está basicamente destruindo o mecanismo que suja Brasília. Ele está fazendo isso naquela cidade. Porque o símbolo da cidade é justamente esse, a farsa de que naquele lugar o povo será ouvido e a justiça será feita. Ele está destruindo a ideologia de que o Estado nos protege, nos dá segurança, saúde e educação. Porque na verdade o Estado só existe para privilegiar os políticos, funcionários públicos de auto escalão, suas famílias e amigos. Enquanto que o povo sofre para sustentar a elite política. O protagonista Miguel entendeu isso quando a filha dele morreu na fila do SUS.

@ a367f9eb:0633efea

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters

When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies

In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement

If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Originally published on the website of the Consumer Choice Center.