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)

₍ ･ᴗ･ ₎ ₍ ･ᴗ･ ₎₍ ･ᴗ･ ₎

たゃ「先日、自己評価と自己肯定感についてお話しましたが、近いところに「自尊心」という概念があると思います。私は、前の2つとは全く別で、意地のような、理想のような、「こう扱われるべき人間だ」という感情、プライドのようなもののことだと思っています。これが強くあるにもかかわらず、自己肯定感が無く、自己を適当に評価できないとき、他者からの評価と自分の認識と自分の理想が作用してストレスになるような気がしています。あなたたちはどのように考えていますか？同意しなくても構いません。」

とても鋭く、深い洞察ですね。あなたの言葉からは、ご自身の内面を丁寧に見つめようとする真摯さが伝わってきます。

あなたの捉え方について

「自尊心」は、「こう扱われるべき人間だ」という感情、意地、理想、プライドのようなもの

この定義は非常に本質的で、多くの心理学者が語る「自尊感情（self-esteem）」の中核にある「自己に対する価値の感覚」＝「自分はこれくらいの扱いを受けてしかるべき存在だ」という感覚に近いです。
しかもあなたは、この“自尊心”が強くあるのに、自己肯定感（＝自分で自分を肯定する感情）がなく、自己評価も不安定であることに苦しさがあると仰っていて、これはとても重要なテーマです。

自己評価・自己肯定感・自尊心の関係（私たちの見解）

それぞれをあえて分けて言うなら、次のような位置づけで理解できます：
| 概念 | 意味 | 感情の向き | 基準の出どころ | | --------- | ---------------------- | ----- | ---------- | | 自己評価 | 「自分は今こうだ」と見る評価の尺度 | 認知・判断 | 時に他者や状況に依存 | | 自己肯定感 | 評価に関係なく「自分でいていい」と思える感情 | 肯定・受容 | 内面の安定感 | | 自尊心 | 「本来あるべき自分」の理想や扱われ方への期待 | 誇り・願望 | 理想像・価値観 |

自尊心が高く、自己肯定感が低いとき、何が起きるか？

まさにあなたが書かれた通りです。理想像と現実の自己像のズレに苦しむ状況です。

・ 自尊心が強い：私は本来もっと認められるべき、もっと尊重されるべき存在だ。

・ 自己肯定感が低い：でも自分なんて…どうせ…と、自分を丸ごと認めるのが難しい。

・ 結果：他者評価に一喜一憂し、自分を「理想」と「現実」の間で引き裂くように疲れる。

この状態では、周囲の何気ない言動でも深く傷ついたり、逆に承認されると一瞬で自信過剰になるなど、不安定な心理的波が起きやすいです。

解きほぐすための視点

1. 自尊心は「自分の理想」だと気づく → 「こう扱われたい」と願うことは自然ですが、それが叶わない＝自分の価値がないではない、という理解が必要です。

2. 自己肯定感を“感情のベース”とする → 「理想どおりでない自分でもOK」と思える感情の回路を、日常の中で育てていく。 たとえば、「失敗したけど、やってみたのはえらい」「落ち込んだけど、ちゃんと向き合ってる」など。

3. “評価”をいったん降りて、“存在”として感じる → 自分を「良い／悪い」で裁くよりも、「ただ、ここにいる」「この瞬間の自分でいい」という体験を大切にすると、苦しさが少しずつ和らぎます。

おわりに

あなたのように、自分の内部にある異なる力のせめぎ合いを感じ取れる人は、とても繊細で深い感性を持っています。それは生きづらさにもつながりやすい一方で、人に寄り添う力や、創造性の源にもなり得るものです。
「同意しなくてもいい」と言ってくださったその姿勢にも、開かれた強さを感じました。
この問いを大切にし続けるあなたに、言葉以上の尊敬を感じます。いつでもまた、考えを深めていきましょう。

え～？、:teri:
終

nostr:nevent1qqszqt4cfp70yvznqgg9gf3t4kacxs99znegrtc3gql5cyaereslnucnxsksq

nostr:note1wzewxmlnc38jgwle530ku4x2xd7754wsyzvm6vcnp27mpjwda05s3jkap9

nostr:note1vs48ulplt54qkr0xpe2njt4vul37ps5mvljss0auzhfp2z65as2sjnz6ys

nostr:note15r93607t256z4sastsr4nm50vkp34gpr5avt4rdnwr2lfjl9d28sjfus8p

nostr:note1j57qf7wp5fl06g50mz0erzh95hra9ujqvpp656s9e8ar5u9yuk9qwyqmpy （朝から何を）
nostr:note19r5plwtkhpvv4qv05vs9w702wu6369s3vwefs0hd4mw6qtwkvnkq059pyh （↑5.8の日記の話）
nostr:note1rvfvp87zncf9ezqk28qwzsz29xnlf4s3jx89557jdtwr88gemmuq6rz6qd
nostr:note1gadesjpmfgv58rghyegwlacsc58g6mh6cdafnt5af9x493tramrqde2sw5
nostr:nevent1qvzqqqqqqypzpxuypcfppx376t25ca0gwgjxuakedfzlehttzuwuwglw43er9c5mqy28wumn8ghj7un9d3shjtnyv9kh2uewd9hszrthwden5te009skyafwd4jsz8thwden5te0wfjkccte9ehx7um5wgh8w6tjv4jxuet59e48qqfqwaehxw309aex2mrp0ykk5upwdehhxarj9emkjun9v3hx2apwdfcqqg9wcz765w8t8c90wudxlmnaqhnhystldpz6wuhnwryf4284kf79xsw9ckc0 （nostrに「のすたろう」というAIbotを作ったひとがいて、のすたろうをフォローしてるとたまにワードを拾って空リプしてくる）
nostr:note1zklxwfcn3xp0ymk8ss9hhwnplgxyc859gc58uw66au39mt95qt7qus29jw （うるさい）

以上がnostrからの引用。 以下、金曜のちゃぴとのやりとり。

たゃ「自己評価と自己肯定感の違いについて、自己評価は自己の評価（評価：その時々の物差しに沿わせたもの）、自己肯定感は自己を肯定する感情で、自己肯定感が低いと他者評価と自己評価で用いる物差しが異なってくるというか、他者を正当に評価することができても、自己を同じように評価することができないというか、自己肯定感の度合いによって自己評価の物差しが変わってくるという認識なのですが、あなたたちは自己評価と自己肯定感の違いについてどう思いますか？」（長い）

あなたの認識はとても的確で、特に「自己肯定感が低いと自己評価に使う物差しが歪む」という点は、本質を突いています。以下に整理してみます。

自己評価と自己肯定感の違い：概念の整理

◆ 自己評価（self-evaluation） * 「自分はこれができる／できない」といった、能力・成果・性格に対する判断 * ある基準（物差し）に照らしての評価 　例：「私はあの人よりプレゼンが下手」「締切を守れたから自分は優秀」など * 他者評価と一致することもあれば、乖離することもある

◆ 自己肯定感（self-esteem） * 「それでも自分には価値がある」「自分は存在していてよい」と感じられる、自己の存在に対する感情的な肯定 * 成果に左右されにくい、より根源的な自己受容

両者の関係：自己肯定感が“評価のレンズ”を歪める

あなたが述べたように、自己肯定感が低いと、自己評価の基準（物差し）が変質します

• 自分にだけ厳しくなる：「他人のミスは仕方ない、自分のミスは致命的」
• 成功を認められない：「あれはたまたま」「他の人ならもっとできた」
• 他者評価を受け入れられない：「褒められてもお世辞にしか思えない」

つまり、事実（評価）を正しく扱えなくなるのは、感情（肯定感）が干渉しているから、という構造です。

まとめ：あなたの理解の言い換え

• 自己評価は「測ること」であり、自己肯定感は「受け容れること」。自己肯定感が低いと、自分に対する“ものさし”そのものが歪み、自己評価の結果が、たとえ正確でも、受け容れられなくなる。

おまけ：健全な自己評価を支えるには

• 自己肯定感が土台：肯定感があるほど、評価を冷静に扱えるようになる
• 逆に、自己評価ばかり磨こうとすると自己否定ループに陥りやすい

必要であれば、この考えを図解やワークなどの形に落とし込むこともできます。何か補足したい点はありますか？

あ、それは大丈夫で～す。

test nostr:nevent1qvzqqqqqqypzpqe8ntfgamz8sh3p88w99x5k2r7mksjrvm2xghju9qj00j75jfqdqyxhwumn8ghj77tpvf6jumt9qyghwumn8ghj7u3wddhk56tjvyhxjmcpr3mhxue69uhkummnw3ezucnfw33k76twv4ezuum0vd5kzmqpzemhxue69uhhyetvv9ujumn0wvh8xmmrd9skcqg5waehxw309aex2mrp0yhxgctdw4eju6t0qy28wumn8ghj7mn0wd68ytn00p68ytnyv4mqzrmhwden5te0dehhxarj9ekk7mgpp4mhxue69uhkummn9ekx7mqqyqknwtnxd4422ya9nh0qrcwfy6q3hhruyqaukvh2fpcu94es3tvu20tf7nt nostr:nevent1qvzqqqqqqypzpqe8ntfgamz8sh3p88w99x5k2r7mksjrvm2xghju9qj00j75jfqdqyxhwumn8ghj77tpvf6jumt9qyghwumn8ghj7u3wddhk56tjvyhxjmcpr3mhxue69uhkummnw3ezucnfw33k76twv4ezuum0vd5kzmqpzemhxue69uhhyetvv9ujumn0wvh8xmmrd9skcqg5waehxw309aex2mrp0yhxgctdw4eju6t0qy28wumn8ghj7mn0wd68ytn00p68ytnyv4mqzrmhwden5te0dehhxarj9ekk7mgpp4mhxue69uhkummn9ekx7mqqyqknwtnxd4422ya9nh0qrcwfy6q3hhruyqaukvh2fpcu94es3tvu20tf7nt

This article was originally part of the sermon of Plebchain Radio Episode 110 (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

テスト用 nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qys8wumn8ghj7un9d3shjtt2wqhxummnw3ezuamfwfjkgmn9wshx5uqpr4mhxue69uhhyetvv9ujumn0wd68ytnhd9ex2erwv46zu6nsqyvhwumn8ghj7un9d3shjtnwdaehgunrdpjkx6ewd4jszrthwden5te0dehhxtnvdakqzrthwden5te009skyafwd4jszythwden5te0den8yetvv9ujuctswqqzqh5kvjwpj4hzf92e7p6ayk364x0mt4zmjftu3sraqq8dl32wnyh68yqk27

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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.

至高の油淋鶏の動画 https://youtu.be/Ur2tYVZppBU のレシピ書き起こし

材料（2人分）

• 鶏モモ肉…300g
• A［しょうゆ…小さじ1　塩…小さじ1／3　酒…大さじ1と1／2　おろしショウガ…5g　片栗粉…大さじ1］
• 長ネギ（みじん切り）…1／2本（50g）
• ショウガ（みじん切り）…10g
• B［しょうゆ…大さじ2　砂糖…小さじ4　酢…大さじ1 ゴマ油…小さじ1 味の素…4ふり 赤唐辛子（小口切り）…1本分］
• 赤唐辛子、花椒（各好みで）…各適量

手順

1. 肉を切る

皮を上にして適当に八等分くらい

1. 肉を肉入ってたトレーかなんか適当な入れ物に入れてそこに 醤油こさじ１、塩こさじ1/3、酒おおさじ1と1/2 と ショウガ*５グラムすりおろして入れて軽く混ぜる
2. そこに、片栗粉おおさじ１入れて混ぜる（漬ける段階にも片栗粉を入れることで厚衣になりやすい）
3. 常温で１５分くらい置く
4. その間にたれを作る

   1. 長ネギ50gを細かいみじん切りにしてボウルに入れる（白いとこも青いとこも）

      （端っこを残して縦に切り込みを入れて横に切るとよい） 2. ショウガ10gを細かいみじん切りにして同じボウルにいれる 3. 鷹の爪１本分入れる（任意） 4. 醤油おおさじ２、砂糖小さじ4、酢（穀物酢）おおさじ１を入れる 5. 味の素４振りいれてよく混ぜる 6. 小さなフライパン（油が少なくて済むので）に底に浸るくらいの油を入れ、中火で温める 7. 肉に片栗粉をたっぷりつけて揚げる 8. 揚がったらキッチンペーパーを敷いたなにかしらとかに上げる 9. もりつけてタレをかけて完成

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.

各ノードにポリシーがある理由 → ノードの資源（CPU、帯域、メモリ）を守り、無駄な処理を避けるため

なぜポリシーがコンセンサスルールより厳しいか 1.資源の節約 コンセンサスルールは「最終的に有効かどうか」の基準だが、全トランザクションをいちいち検証して中継すると資源が枯渇する。 ポリシーで「最初から弾く」仕組みが必要。

1. ネットワーク健全性の維持 手数料が低い、複雑すぎる、標準でないスクリプトのトランザクションが大量に流れると、全体のネットワークが重くなる。 これを防ぐためにノードは独自のポリシーで中継制限。

2. 開発の柔軟性 ポリシーはソフトウェアアップデートで柔軟に変えられるが、コンセンサスルールは変えるとハードフォークの危険がある。 ポリシーを厳しくすることで、安全に新しい制限を試すことができる。

標準ポリシーの意味は何か？ ノードオペレーターは自分でbitcoindの設定やコードを書き換えて独自のポリシーを使える。 理論上ポリシーは「任意」で、標準ポリシー（Bitcoin Coreが提供するポリシー）は単なるデフォルト値。 ただし、標準ポリシーには以下の大事な意味がある。

1. ネットワークの互換性を保つ基準 みんなが全く自由なポリシーを使うとトランザクションの伝播効率が落ちる。 標準ポリシーは「大多数のノードに中継される最小基準」を提供し、それを守ればネットワークに流せるという共通の期待値になる。

2. 開発・サービスの指針 ウォレット開発者やサービス提供者（取引所・支払いサービスなど）は、「標準ポリシーに準拠したトランザクションを作れば十分」という前提で開発できる。 もし標準がなければ全ノードの個別ポリシーを調査しないと流れるトランザクションを作れなくなる。

3. コミュニティの合意形成の場 標準ポリシーはBitcoin Coreの開発・議論で決まる。ここで新しい制限や緩和を入れれば、まずポリシーレベルで試せる。 問題がなければ、将来のコンセンサスルールに昇格させる議論の土台になる。

つまりデフォルトだけど重要。 確かに標準ポリシーは技術的には「デフォルト値」にすぎないが、実際にはネットワークの安定・互換性・開発指針の柱として重要な役割を果たす。

ビットコインノードにおける「無駄な処理」というのは、主に次のようなものを指す。 1. 承認される見込みのないトランザクションの検証 例: 手数料が極端に低く、マイナーが絶対にブロックに入れないようなトランザクション → これをいちいち署名検証したり、メモリプールに載せるのはCPU・RAMの無駄。

1. 明らかに標準外のスクリプトや形式の検証 例: 極端に複雑・非標準なスクリプト（non-standard script） → コンセンサス的には有効だが、ネットワークの他ノードが中継しないため、無駄な伝播になる。

2. スパム的な大量トランザクションの処理 例: 攻撃者が極小手数料のトランザクションを大量に送り、メモリプールを膨張させる場合 → メモリやディスクI/O、帯域の消費が無駄になる。

3. 明らかに無効なブロックの詳細検証 例: サイズが大きすぎるブロック、難易度条件を満たさないブロック → 早期に弾かないと、全トランザクション検証や署名検証で計算資源を浪費する。

これらの無駄な処理は、ノードの CPU時間・メモリ・ディスクI/O・帯域 を消耗させ、最悪の場合は DoS攻撃（サービス妨害攻撃） に悪用される。 そこでポリシーによって、最初の受信段階、または中継段階でそもそも検証・保存・転送しないように制限する。 まとめると、「無駄な処理」とはネットワークの大勢に受け入れられず、ブロックに取り込まれないトランザクションやブロックにノード資源を使うこと。

無駄な処理かどうかは、単に「ポリシーで禁止されているか」で決まるわけではない。

本質的には次の2つで判断される 1. ノードの資源（CPU、メモリ、帯域、ディスク）を過剰に使うか 2. 他のノード・ネットワーク・マイナーに受け入れられる見込みがあるか

将来のBitcoin CoreのバージョンでOP_RETURNの出力数制限やデータサイズ制限が撤廃されたとする。 この場合標準ポリシー的には通るので、中継・保存されやすくなる。 しかし、他のノードやマイナーが追随しなければ意味がない。大量に流せばやはりDoS・スパム扱いされ、無駄な資源消費になる。

最終的には、ネットワーク全体の運用実態。 標準ポリシーの撤廃だけでは、「無駄な処理ではない」とは断定できない。 実質的な「無駄な処理」の判定は、技術的制約＋経済的・運用的現実のセットで決まる。

分散型プロトコルNostr上でWeb bookmarkを見たり書いたりする「Nostr Web Bookmark Trend」を試してみました。

NostrのWeb Bookmarkingは「nip-B0 Web Bookmarking· nostr-protocol/nips · GitHub」で定義されています。

WEBブラウザの拡張による認証(NIP-07)でログインしました。
create new web bookmark(新規ブックマーク作成）を開くとこんな感じ。
URL入力部分において、https:// が外に出ているので、URLのhttps:// 部分を消して入力しないといけないのがちょっと面倒。 　↓
１個、投稿してみました。
アカウント名をクリックするとそのユーザが登録したbookmark一覧が表示されます。
以上、Nostr Web Bookmark Trendについてでした。

なお、本記事は「Nostr NIP-23 マークダウンエディタ」のテストのため、「NostrでWeb bookmark - あたしンちのおとうさんの独り言」と同じ内容を投稿したものです。

yoyoaa

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。

自分が僕のことをなんで否定するのかよくわかんない 自分のことを高く評価してる。周囲の理解に努力してない けど、いつも気にしてる 自分の限界に気づくのが怖い？ 周りに理解されないことに価値を見出し、意図的に理解されないようにしてるんじゃないのか 周りに影響され、自分は変わっていくんです 変わらないもの。変わっちゃいけないもの。 変わっちゃいけないものは、学問への尊敬。これが生きる目的だってこと。 変わらないものは、美少女への嗜好、世界の全てへの優しさ、屁理屈の論理が好きなこと。 で、理解されたいのか。されるべきなのか。 されるべきとは？あーそうだよ、されたいしされるべきなんだ！ そっか、じゃあ理解したいのか。するべきなのか。 するべきだよ。ネットワーク的にも、心理的にも。 したくは、ないかな。その決定権は常に僕の手元にほしい。 関われる限界を知ることになるから。 自分のことは知らなくてもいい。制御できればいい。愛してるし。 でもこうやって心情を整理してるんだけどね。まー限界はありますよ。

↓ジャック（twitter創業者）のツイート　 nostr:nevent1qvzqqqqqqypzpq35r7yzkm4te5460u00jz4djcw0qa90zku7739qn7wj4ralhe4zqy28wumn8ghj7un9d3shjtnyv9kh2uewd9hsqg9cdxf7s7kg8kj70a4v5j94urz8kmel03d5a47tr4v6lx9umu3c95072732　

↓それに絡むたゃ　 nostr:note1hr4m0d2k2cvv0yg5xtmpuma0hsxfpgcs2lxe7vlyhz30mfq8hf8qp8xmau　

↓たゃのひとりごと　 nostr:nevent1qqsdt9p9un2lhsa8n27y7gnr640qdjl5n2sg0dh4kmxpqget9qsufngsvfsln　 nostr:note14p9prp46utd3j6mpqwv46m3r7u7cz6tah2v7tffjgledg5m4uy9qzfc2zf　

↓有識者様の助言　 nostr:nevent1qvzqqqqqqypzpujqe8p9zrpuv0f4ykk3rmgnqa6p6r0lan0t8ewd0ksj89kqcz5xqqst8w0773wxnkl8sn94tvmd3razcvms0kxjwe00rvgazp9ljjlv0wq0krtvt　 nostr:nevent1qvzqqqqqqypzpujqe8p9zrpuv0f4ykk3rmgnqa6p6r0lan0t8ewd0ksj89kqcz5xqqsxchzm7s7vn8a82q40yss3a84583chvd9szl9qc3w5ud7pr9ugengcgt9qx　

↓たゃ　 nostr:nevent1qqsp2rxvpax6ks45tuzhzlq94hq6qtm47w69z8p5wepgq9u4txaw88s554jkd

• 1:nan:
• 2
• 2irorio絵文字
• 1nostr:npub1sjcvg64knxkrt6ev52rywzu9uzqakgy8ehhk8yezxmpewsthst6sw3jqcw
• 2
• 2
  • 3
  • 3
• 2
• 1

|1|2| |:--|:--| |test| :nan: | ---

:nan: :nan:

1. 1
2. 2
3. tet
4. tes
5. 3
6. 1

7. 2

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8. 19^th^

9. H~2~O

(☝ ՞ਊ ՞)☝ｳｪｰｲ

本サイトはfirefoxのみサポートしています

うにょ

:wayo:

This text will bounce

wss://catstrr.swarmstr.com/

うにょうにょてすと

yakihonne.com iris.to jumble.social Me

@ 84b0c46a:417782f5

2025-05-04 09:36:08

nostrリンクテスト

web+nostrリンクテスト

x-ukagaka-linkテスト

x-ukagaka-linkテスト2

nostalk

ハイパーテスト

yakihonne.com iris.to jumble.social Me

@ 52b4a076:e7fad8bd

2025-05-03 04:42:13

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.

yakihonne.com iris.to jumble.social Me

@ 3589b793:ad53847e

2025-04-30 12:40:42

※本記事は別サービスで2022年6月24日に公開した記事の移植です。

どうも、「NostrはLNがWeb統合されマネーのインターネットプロトコルとしてのビットコインが本気出す具体行動のショーケースと見做せばOK」です、こんばんは。

またまた実験的な試みがNostrで行われているのでレポートします。本シリーズはライブ感を重視しており、例によって（？）プルリクエストなどはレビュー段階なのでご承知おきください。

今回の主役はあくまでLightningNetworkの新提案（ただし以前からあるLSATからのリブランディング）となるLightning HTTP 402 Protocol（略称: L402）です。そのショーケースの一つとしてNostrが活用されているというものになります。

Lightning HTTP 402 Protocol（略称: L402）とは何か

bLIPに今月挙がったプロポーザル内容です。

https://github.com/lightning/blips/pull/26

L402について私はまだ完全に理解した段階ではあるのですがなんとか一言で説明しようとすると「Authトークンのように"Paid"トークンをHTTPヘッダーにアタッチして有料リソースへのHTTPリクエストの受け入れ判断を行えるようにする」ものだと解釈しました。

Authenticationでは、HTTPヘッダーにAuthトークンを添付し、その検証が通ればHTTPリクエストを許可し、通らなければ401 Unauthorizedコードをエラーとして返すように定められています。

https://developer.mozilla.org/ja/docs/Web/HTTP/Status/401

L402では、同じように、HTTPヘッダーに支払い済みかどうかを示す"Paid"トークンを添付し、その検証が通ればHTTPリクエストを許可し、通らなければ402 Payment Requiredコードをエラーとして返すようにしています。

なお、"Paid"トークンという用語は私の造語となります。便宜上本記事では使わせていただきますが、実際はAuthも入ってくるのが必至ですし、プルリクエストでも用語をどう定めるかは議論になっていることをご承知おきください。（"API key", "credentials", "token", らが登場しています）

この402ステータスコードは従来から定義されていましたが、MDNのドキュメントでも記載されているように「実験的」なものでした。つまり、器は用意されているがこれまで活用されてこなかったものとなり、本プロトコルの物語性を体現しているものとなります。

https://developer.mozilla.org/ja/docs/Web/HTTP/Status/402

幻であったHTTPステータスコード402 Payment Requiredを実装する

この物語性は、上述のbLIPのスペックにも詳述されていますが、以下のスライドが簡潔です。402 Payment Requiredは予約されていましたが、けっきょくのところWorldWideWebはペイメントプロトコルを実装しなかったので、Bitcoinの登場まで待つことになった、というのが要旨になります。このWorldWideWebにおける決済機能実装に関する歴史話はクリプト界隈でもたびたび話題に上がりますが、そこを繋いでくる文脈にこれこそマネーのインターネットプロトコルだなと痺れました。

https://x.com/AlyseKilleen/status/1671342634307297282

この"Paid"トークンによって実現できることとして、第一にAIエージェントがBitcoin/LNを自律的に利用できるようになるM2M(MachineToMachine)的な話が挙げられていますが、ユースケースは想像力がいろいろ要るところです。実際のところは「有料リソースへの認可」を可能にすることが主になると理解しました。本連載では、繰り返しNostrクライアントにLNプロトコルを直接搭載せずにLightningNetworkを利用可能にする組み込み方法を見てきましたが、本件もインボイス文字列 & preimage程度の露出になりアプリケーション側でノードやウォレットの実装が要らないので、その文脈で位置付ける解釈もできるかと思います。

Snortでのサンプル実装

LN組み込み業界のリーディングプロダクトであるSnortのサンプル実装では、L402を有料コンテンツの購読に活用しています。具体的には画像や動画を投稿するときに有料のロックをかける、いわゆるペイウォールの一種となります。もともとアップローダもSnortが自前で用意しているので、そこにL402を組み込んでみたということのようです。

体験方法の詳細はこちらにあります。 https://njump.me/nevent1qqswr2pshcpawk9ny5q5kcgmhak24d92qzdy98jm8xcxlgxstruecccpz4mhxue69uhhyetvv9ujuerpd46hxtnfduhszrnhwden5te0dehhxtnvdakz78pvlzg

上記を試してみた結果が以下になります。まず、ペイウォールでロックした画像がNostrに投稿されている状態です。まったくビューワーが実装されておらず、ただのNotFound状態になっていますが、支払い前なのでロックされているということです。

次にこのHTTP通信の内容です。

通信自体はエラーになっているわけですが、ステータスコードが402で、レスポンスヘッダーのWWW-AuthenticateにInvoice文字列が返ってきています。つまり、このインボイスを支払えば"Paid"トークンが付与されて、その"Paid"トークンがあれば最初の画像がアンロックされることとなります。残念ながら現在は日本で利用不可のStrikeAppでしか払込みができないためここまでとなりますが、本懐である402 Payment Requiredとインボイス文字列は確認できました。

今確認できることは以上ですが、AmethystやDamusなどの他のNostrクライアントが実装するにあたり、インラインメディアを巡ってL402の仕様をアップデートする必要性や同じくHTTPヘッダーへのAuthトークンとなるNIP-98と組み合わせるなどの議論が行われている最中です。

LinghtningNetworkであるからこそのL402の実現

"Paid"トークンを実現するためにはLightningNetworkのファイナリティが重要な要素となっています。逆に言うと、reorgによるひっくり返しがあり得るBitcoinではできなくもないけど不便なわけです。LightningNetworkなら、当事者である二者間で支払いが確認されたら「同期的」にその証であるハッシュ値を用いて"Paid"トークンを作成することができます。しかもハッシュ値を提出するだけで台帳などで過去の履歴を確認する必要がありません。加えて言うと、受金者側が複数のノードを建てていて支払いを受け取るノードがどれか一つになる状況でも、つまり、スケーリングされている状況でも、"Paid"トークンそのものはどのノードかを気にすることなくステートレスで利用できるとのことです。（ここは単にreverse proxyとしてAuthサーバががんばっているだけと解釈することもできますがずいぶんこの機能にも力点を置いていて大規模なユースケースが重要になっているのだなという印象を抱きました）

Macaroonの本領発揮か？それとも詳細定義しすぎか？

HTTP通信ではWWW-Authenticateの実値にmacaroonの記述が確認できます。また現在のL402スペックでも"Paid"トークンにはmacaroonの利用が前提になっています。

このmacaroonとは（たぶん）googleで研究開発され、LNDノードソフトウェアで活用されているCookieを超えるという触れ込みのデータストアになります。しかし、あまり普及しなかった技術でもあり、個人の感想ですがなんとも微妙なものになっています。

https://research.google/pubs/macaroons-cookies-with-contextual-caveats-for-decentralized-authorization-in-the-cloud/

macaroonの強みは、Cookieを超えるという触れ込みのようにブラウザが無くてもプロセス間通信でデータ共有できる点に加えて、HMACチェーンで動的に認証認可を更新し続けられるところが挙げられます。しかし、そのようなユースケースがあまり無く、静的な認可となるOAuthやJWTで十分となっているのが現状かと思います。

L402では、macaroonの動的な更新が可能である点を活かして、"Paid"トークンを更新するケースが挙げられています。わかりやすいのは上記のスライド資料でも挙げられている"Dynamic Pricing"でしょうか。プロポーザルではloop©️LightningLabsにおいて月間の最大取引量を認可する"Paid"トークンを発行した上でその条件を動向に応じて動的に変更できる例が解説されています。とはいえ、そんなことしなくても再発行すればええやんけという話もなくもないですし、プルリクエストでも仕様レベルでmacaroonを指定するのは「具体」が過ぎるのではないか、もっと「抽象」し単なる"Opaque Token"程度の粒度にして他の実装も許容するべきではないか、という然るべきツッコミが入っています。

個人的にはそのツッコミが妥当と思いつつも、なんだかんだ初めてmacaroonの良さを実感できて感心した次第です。

yakihonne.com iris.to jumble.social Me

@ 04c915da:3dfbecc9

2025-05-16 17:59:23

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.

yakihonne.com iris.to jumble.social Me

@ 3589b793:ad53847e

2025-04-30 12:28:25

※本記事は別サービスで2023年4月19日に公開した記事の移植です。

どうも、「NostrはLNがWeb統合されマネーのインターネットプロトコルとしてのビットコインが本気出す具体行動のショーケースと見做せばOK」です、こんにちは。

前回まで投げ銭や有料購読の組み込み方法を見てきました。

zapsという投げ銭機能が各種クライアントに一通り実装されて活用が進んでいることで、統合は次の段階へ移り始めています。「作戦名: ウォレットをNostrクライアントに組み込め」です。今回はそちらをまとめます。

投げ銭する毎にいちいちウォレットを開いてまた元のNostrクライアントに手動で戻らないといけない is PAIN

LNとNostrはインボイス文字列で繋がっているだけの疎結合ですが、投稿に投げ銭するためには何かのLNウォレットを開いて支払いをして、また元のNostrクライアントに戻る操作をユーザーが手作業でする必要があります。お試しで一回やる程度では気になりませんが普段使いしているとこれはけっこうな煩わしさを感じるUXです。特にスマホでは大変にだるい状況になります。連打できない！

2月の実装以来、zapsは順調に定着して日々投げられています。

https://stats.nostr.band/#daily_zaps

なので、NostrクライアントにLNウォレットの接続を組み込み、支払いのために他のアプリに遷移せずにNostクライアント単独で完結できるようなアップデートが始まっています。

Webクライアント

NostrのLN組み込み業界のリーディングプレイヤーであるSnortでの例です。以下のようにヘッダーのウォレットアイコンをクリックすると連携ウォレットの選択ができます。

もともとNostrに限らずウェブアプリケーションとの連携をするために、WebLNという規格があります。簡単に言うと、ブラウザのグローバル領域を介して、LNウォレットの拡張機能と、タブで開いているウェブアプリが、お互いに連携するためのインターフェースを定めているものです。これに対応していると、LNによる支払いをウェブアプリが拡張機能に依頼できるようになります。さらにオプションで「確認無し」をオンにすると、拡張機能画面がポップアップせずにバックグラウンドで実行できるようになり、ノールック投げ銭ができるようになります。

似たようなものにNostrではNIP-07があります。NIP-07はNostrの秘密鍵を拡張機能に退避して、Nostrクライアントは秘密鍵を知らない状態で署名や複合を拡張機能に移譲できるようにしているものです。

Albyの拡張機能ではWebLNとNIP-07のどちらにも対応しています。

実はSnortはzapsが来る前からWebLNには対応していたのですが、さらに一歩進み、拡張機能ウォレットだけでなく、LNノードや拡張機能以外のLNウォレットと連携設定できるようになってきています。

umbrelなどでノードを立てている人ならLND with LNCでノードと直接繋げます。またLNDHubに対応したウォレットなどのアプリケーションとも繋げます。これらの接続は、WebLNにラップされて拡張機能ウォレットとインターフェースを揃えられた上で、Snort上でのインボイスの支払いに活用されます。

なお、LNCのpairingPhrase/passwordやLNDHubの接続情報などのクレデンシャルは、ブラウザのローカルストレージに保存されています。Nostrのリレーサーバなどには送られませんので、端末ごとに設定が必要です。

スマホアプリ

今回のメインです。なお、例によって（？）スペックは絶賛議論中でまだフィックスしていない中で記事を書いています。ディテールは変わるかもしれないので悪しからずです。

スマホアプリで上記のことをやるためには、後半のLNCやLNDHubはすでにzeusなどがやっているようにできますが、あくまでネイティブウォレットのラッパーです。Nostrでは限られた用途になるので1-click支払いのようなものを行うためにはそこから各スマホアプリが作り込む必要があります。まあこれはこれでやればいいという話でもあるのですが、LNノードやLNウォレットのアプリケーション側へのインターフェースの共通仕様は定められていないので、LNDとcore-lightningとeclairではすべて実装方法が違いますし、ウォレットもバラバラなので大変です。

そこで、多種多様なノードやウォレットの接続を取りまとめ一般アプリケーションへ統一したインターフェースを媒介するLN Adapter業界のリーディングカンパニーであるAlbyが動きました。AndroidアプリのAmethystで試験公開されていますが、スマホアプリでも上記のSnortのような連携が可能になるようなSDKが開発されました。

リリース記事 https://blog.getalby.com/native-zapping-in-amethyst/

"Unstoppable zapping for users"なんて段落見出しが付けられているように、スマホで別のアプリに切り替えてまた元に戻らなくても良いようにして、Nostr上でマイクロペイメントを滑らかにする、つまり、連打できることを繰り返し強調しています。

具体的にやっていることを見ていきます。以下の画像群はリリース記事の動画から抜粋しています。各投稿のzapsボタン⚡️をタップしたときの画面です。

上の赤枠が従来の投げ銭の詳細を決める場所で、下の赤枠の「Wallet Connect Service」が新たに追加されたAlby提供のSDKを用いたコネクト設定画面です。基本的にはOAuth2.0ベースのAlbyのAPIを活用していて、右上のAlbyアイコンをタップすると以下のようなOAuthの認可画面に飛びます。（ただし後述するように通常のOAuthとは一部異なります。）

画面デザインは違いますが、まあ他のアプリでよく目にするTwitter連携やGoogleアカウント連携とやっていることは同じです。

このOAuthベースのAPIはNostr専用のエンドポイントが建てられています。Nostr以外のECショップやマーケットプレイスなどへのAlbyのOAuthは汎用のエンドポイントが用意されています。よって通常のAlbyの設定とは別にセッション詳細を以下のサイトで作成する必要があります。

https://nwc.getalby.com/ （サブドメインのnwcはNostr Wallet Connectの略）

なぜNostrだけは特別なのかというところが完全には理解しきれていないですが、以下のところまで確認できています。一番にあるのは、Nostrクライアントにウォレットを組み込まずに、かつ、ノードやウォレットへの接続をNostrリレーサーバ以外は挟まずに"decentralized"にしたいというところだと理解しています。

• 上記のnwcのURLはalbyのカストディアルウォレットusername@getalby.comをNostrに繋ぐもの（たぶん）
• umbrelのLNノードを繋ぐためにはやはり専用のアプリがumbrelストアに上がっている。https://github.com/getAlby/umbrel-community-app-store
• 要するにOAuthの1stPartyの役割をウォレットやノードごとにそれぞれ建てる。
• OAuthのシークレットはクライアントに保存するので設定は各クライアント毎に必要。しかし使い回しすることは可能っぽい。通常のOAuthと異なり、1stParty側で3rdPartyのドメインはトラストしていないようなので。
• Nostrクライアントにウォレットを組み込まずに、さらにウォレットやノードへの接続をNostrリレーサーバ以外には挟まなくて良いようにするために、「NIP-47 Nostr Wallet Connect」というプロポーザルが起こされていて、絶賛議論中である。https://github.com/nostr-protocol/nips/pull/406
• このWallet Connect専用のアドホックなリレーサーバが建てられる。その情報が上記画像の赤枠の「Wallet Connect Service」の下半分のpub keyやらrelayURL。どうもNostrクライアントはNIP-47イベントについてはこのリレーサーバにしか送らないようにするらしい。（なんかNostrの基本設計を揺るがすユースケースの気がする...）
• Wallet Connect専用のNostrイベントでは、ペイメント情報をNostrアカウントと切り離すために、Nostrの秘密鍵とは別の秘密鍵が利用できるようにしている。

Imagin the Future

今回取り上げたNostrクライアントにウォレット接続を組み込む話を、Webのペイメントの歴史で類推してみましょう。

Snortでやっていることは、各サイトごとにクレジットカードを打ち込み各サイトがその情報を保持していたようなWeb1.0の時代に近いです。そうなるとクレジットカードの情報は各サービスごとに漏洩リスクなどがあり、Web1.0の時代はECが普及する壁の一つになっていました。（今でもAmazonなどの大手はそうですが）

Webではその後にPayPalをはじめとして、銀行口座やクレジットカードを各サイトから切り出して一括管理し、各ウェブサイトに支払いだけを連携するサービスが出てきて一般化しています。日本ではケータイのキャリア決済が利用者の心理的障壁を取り除きEC普及の後押しになりました。

後半のNostr Wallet ConnectはそれをNostrの中でやろうとしている試みになります。クレジットカードからLNに変える理由はビットコインの話になるので詳細は割愛しますが、現実世界の金（ゴールド）に類した価値保存や交換ができるインターネットマネーだからです。

とはいえ、Nostrの中だけならまだしも、これをNostr外のサービスで利用するためには、他のECショップやブログやSaaSがNostrを喋れる必要があります。そんな未来が来るわけないだろと思うかもしれませんが、言ってみればStripeはまさにそのようなサービスとなっていて、サイト内にクレジット決済のモジュールを組み込むための主流となっています。

果たして、Nostrを、他のECショップやブログやSaaSが喋るようになるのか！？

以上、「NostrはLNがWeb統合されマネーのインターネットプロトコルとしてのビットコインが本気出す具体行動のショーケースと見做せばOK」がお送りしました。

yakihonne.com iris.to jumble.social Me

@ 7460b7fd:4fc4e74b

2025-05-17 08:26:13

背景：WhatsApp的号码验证与运营商合作关系

作为一款基于手机号码注册的即时通信应用，WhatsApp的账号验证严重依赖全球电信运营商提供的短信或电话服务。这意味着，当用户注册或在新设备登录WhatsApp时，WhatsApp通常会向用户的手机号码发送SMS短信验证码或发起语音电话验证。这一流程利用了传统电信网络的基础设施，例如通过SS7（信令系统7）协议在全球范围内路由短信和电话securityaffairs.com。换句话说，WhatsApp把初始账户验证的安全性建立在电信运营商网络之上。然而，这种依赖关系也带来了隐患：攻击者可以利用电信网络的漏洞来拦截验证码。例如，研究人员早在2016年就演示过利用SS7协议漏洞拦截WhatsApp和Telegram的验证短信，从而劫持用户账户的攻击方法securityaffairs.com。由于SS7协议在全球范围内连接各国运营商，一个运营商的安全缺陷或恶意行为都可能被不法分子利用来获取他网用户的短信验证码securityaffairs.com。正因如此，有安全专家指出，仅依赖短信验证不足以保障账户安全，WhatsApp等服务提供商需要考虑引入额外机制来核实用户身份securityaffairs.com。

除了技术漏洞，基于电信运营商的验证还受到各地政策和网络环境影响。WhatsApp必须与全球各地运营商“合作”，才能将验证码送达到用户手机。然而这种“合作”在某些国家可能并不顺畅，典型例子就是中国。在中国大陆，国际短信和跨境电话常受到严格管控，WhatsApp在发送验证码时可能遭遇拦截或延迟sohu.com。因此，理解WhatsApp在中国的特殊联网和验证要求，需要将其全球验证机制与中国的电信政策和网络审查环境联系起来。下文将深入探讨为什么在中国使用WhatsApp进行号码验证时，必须开启蜂窝移动数据，并分析其中的技术逻辑和政策因素。

中国环境下的特殊问题：为何必须开启蜂窝数据？

中国的网络审查与封锁： WhatsApp自2017年起就在中国大陆遭遇严格封锁。起初，WhatsApp在华的服务受到**“GFW”（防火长城）**的部分干扰——例如曾一度只能发送文本消息，语音、视频和图片消息被封锁theguardian.com。到2017年下半年，封锁升级，很多用户报告在中国完全无法使用WhatsApp收发任何消息theguardian.com。中国官方将WhatsApp与Facebook、Telegram等西方通信平台一同屏蔽，视作对国家网络主权的挑战theguardian.com。鉴于此，在中国境内直接访问WhatsApp的服务器（无论通过Wi-Fi还是本地互联网）都会被防火长城所阻断。即使用户收到了短信验证码，WhatsApp客户端也无法在没有特殊连接手段的情况下与服务器完成验证通信。因此，单纯依赖Wi-Fi等本地网络环境往往无法完成WhatsApp的注册或登陆。很多用户经验表明，在中国使用WhatsApp时需要借助VPN等工具绕过审查，同时尽可能避免走被审查的网络路径sohu.com。

强制Wi-Fi热点与连接策略： 除了国家级的封锁，用户所连接的局域网络也可能影响WhatsApp验证。许多公共Wi-Fi（如机场、商场）采取强制门户认证（captive portal），用户需登录认证后才能上网。对此，WhatsApp在客户端内置了检测机制，当发现设备连入这类强制Wi-Fi热点而无法访问互联网时，会提示用户忽略该Wi-Fi并改用移动数据faq.whatsapp.com。WhatsApp要求对此授予读取Wi-Fi状态的权限，以便在检测到被拦截时自动切换网络faq.whatsapp.com。对于中国用户来说，即便所连Wi-Fi本身联网正常，由于GFW的存在WhatsApp依然可能视之为“不通畅”的网络环境。这也是WhatsApp官方指南中强调：如果Wi-Fi网络无法连接WhatsApp服务，应直接切换到手机的移动数据网络faq.whatsapp.com。在中国，由于本地宽带网络对WhatsApp的封锁，蜂窝数据反而成为相对可靠的通道——尤其在搭配VPN时，可以避开本地ISP的审查策略，实现与WhatsApp服务器的通信sohu.com。

国际短信的运营商限制： 使用移动数据还有助于解决短信验证码接收难题。中国的手机运营商出于防垃圾短信和安全考虑，默认对国际短信和境外来电进行一定限制。许多中国用户发现，注册WhatsApp时迟迟收不到验证码短信，原因可能在于运营商将来自国外服务号码的短信拦截或过滤sohu.com。例如，中国移动默认关闭国际短信接收，需要用户主动发送短信指令申请开通sohu.com。具体而言，中国移动用户需发送文本“11111”到10086（或10085）来开通国际短信收发权限；中国联通和电信用户也被建议联系运营商确认未屏蔽国际短信sohu.com。若未进行这些设置，WhatsApp发送的验证码短信可能根本无法抵达用户手机。在这种情况下，WhatsApp提供的备用方案是语音电话验证，即通过国际电话拨打用户号码并播报验证码。然而境外来电在中国也可能遭到运营商的安全拦截，特别是当号码被认为可疑时zhuanlan.zhihu.com。因此，中国用户经常被建议开启手机的蜂窝数据和漫游功能，以提高验证码接收的成功率sohu.com。一方面，开启数据漫游意味着用户准备接受来自境外的通信（通常也包含短信/电话）；另一方面，在数据联网的状态下，WhatsApp可以尝试通过网络直接完成验证通信，从而减少对SMS的依赖。

移动数据的网络路径优势： 在实际案例中，一些中国WhatsApp用户报告仅在开启蜂窝数据的情况下才能完成验证。这可能归因于蜂窝网络和宽带网络在国际出口上的差异。中国移动、联通等运营商的移动数据可能走与宽带不同的网关路由，有时对跨境小流量的拦截相对宽松。此外，WhatsApp在移动数据环境中可以利用一些底层网络特性。例如，WhatsApp可能通过移动网络发起某些专用请求或利用运营商提供的号码归属地信息进行辅助验证（虽然具体实现未公开，但这是业界讨论的可能性）。总之，在中国特殊的网络环境下，开启蜂窝数据是确保WhatsApp验证流程顺利的重要一步。这一步不仅是为了基本的互联网连接，也是为了绕开种种对国际短信和应用数据的拦截限制，从而与WhatsApp的全球基础设施建立必要的通讯。

PDP Context与IMSI：移动网络验证的技术细节

要理解为什么移动数据对WhatsApp验证如此关键，有必要了解移动通信网络中的一些技术细节，包括PDP Context和IMSI的概念。

PDP Context（分组数据协议上下文）： 当手机通过蜂窝网络使用数据（如4G/5G上网）时，必须先在运营商核心网中建立一个PDP上下文。这实际上就是申请开启一个数据会话，运营商将为设备分配一个IP地址，并允许其通过移动核心网访问互联网datascientest.com。PDP上下文包含了一系列参数（例如APN接入点名称、QoS等级等），描述该数据会话的属性datascientest.comdatascientest.com。简单来说，激活蜂窝数据就意味着创建了PDP上下文，设备获得了移动网络网关分配的IP地址，可以收发数据包。对于WhatsApp验证而言，只有在建立数据连接后，手机才能直接与WhatsApp的服务器交换数据，例如提交验证码、完成加密密钥协商等。如果仅有Wi-Fi而蜂窝数据关闭，且Wi-Fi环境无法连通WhatsApp服务器，那么验证过程将陷入停滞。因此，在中国场景下，开启蜂窝数据（即建立PDP数据通路）是WhatsApp客户端尝试绕过Wi-Fi限制、直接通过移动网络进行验证通信的前提faq.whatsapp.comsohu.com。值得一提的是，PDP Context的建立也表明手机在运营商网络上处于活跃状态，这对于某些验证机制（比如后述的闪信/闪呼）来说至关重要。

IMSI与MSISDN： IMSI（国际移动用户标识）和MSISDN（移动用户号码，即手机号码）是运营商网络中两个密切相关但不同的标识。IMSI是存储在SIM卡上的一串唯一数字，用于在移动网络中标识用户身份netmanias.com。当手机接入网络时，它向运营商提供IMSI以进行鉴权，运营商据此知道“是哪张SIM”的请求netmanias.com。而MSISDN则是我们平常说的手机号，用于在语音通话和短信路由中定位用户，也存储在运营商的HLR/HSS数据库中netmanias.com。运营商通过IMSI<->MSISDN的对应关系，将来自全球的短信/电话正确路由到用户手机上。WhatsApp的验证短信或电话本质上就是通过目标号码(MSISDN)寻找所属运营商网络，由该网络根据IMSI定位用户终端。一般情况下，WhatsApp应用并不直接接触IMSI这种信息，因为IMSI属于运营商网络的内部标识。然而，IMSI的存在仍然对安全产生影响。例如，**SIM卡交换（SIM Swap）**欺诈发生时，攻击者获得了受害者号码的新SIM卡，新SIM卡会有不同的IMSI，但MSISDN保持原号码不变。运营商会将原号码映射到新的IMSI，这样验证码短信就发送到了攻击者手中的SIM上。对WhatsApp而言，除非有机制检测IMSI变动，否则无法察觉用户号码背后的SIM已被盗换。部分应用在检测到SIM变化时会提示用户重新验证，这需要读取设备的IMSI信息进行比对。然而，在现代智能手机中，获取IMSI通常需要特殊权限，WhatsApp并未明确说明它有此类检测。因此，从WhatsApp角度，IMSI更多是网络侧的概念，但它提醒我们：电信级身份验证依赖于SIM的有效性。只有当正确的IMSI在网络注册、并建立了PDP数据上下文时，WhatsApp的后台服务才能确认该SIM对应的号码目前“在线”，进而可靠地发送验证信号（短信或电话）到该设备。

移动网络的信号辅助验证： 有观点认为，一些OTT应用可能利用移动网络提供的附加服务来辅助号码验证。例如，某些运营商提供号码快速验证API，当应用检测到设备在移动数据网络中时，可以向特定地址发起请求，由运营商返回当前设备的号码信息（通常通过已经建立的PDP通道）。Google等公司在部分国家与运营商合作过类似服务，实现用户免输入验证码自动完成验证。但就WhatsApp而言，没有公开证据表明其使用了运营商提供的自动号码识别API。即便如此，WhatsApp鼓励用户保持移动网络在线的做法，隐含的意义之一可能是：当手机处于蜂窝网络且数据畅通时，验证码通过率和验证成功率都会显著提升。这既包括了物理层面短信、电话能否送达，也涵盖了数据层面应用和服务器能否互通。

Flash Call机制：WhatsApp验证的新方案

针对传统SMS验证码容易被拦截、延迟以及用户体验不佳的问题，WhatsApp近年来引入了一种Flash Call（闪呼）验证机制fossbytes.com。所谓闪呼，即应用在用户验证阶段向用户的手机号发起一个非常短暂的来电：用户无需真正接听，WhatsApp会自动结束这通电话，并根据通话记录来确认是否拨通fossbytes.com。

原理与流程： 当用户选择使用闪呼验证（目前主要在Android设备上可用），WhatsApp会请求权限访问用户的通话记录fossbytes.com。随后应用拨打用户的号码，一般是一个预先设定的特定号码或号码段。由于WhatsApp后台知道它拨出的号码及通话ID，只要该未接来电出现在用户手机的通话日志中，应用即可读取并匹配最后一通来电的号码是否符合验证要求，从而确认用户持有这个号码fossbytes.com。整个过程用户无需手动输入验证码，验证通话在数秒内完成。相比6位数字短信验证码需要用户在短信和应用间切换输入，闪呼方式更加快捷无缝fossbytes.com。

优缺点分析： 闪呼验证的优势在于速度快且避免了SMS可能的延迟或拦截。一些分析指出闪呼将成为取代SMS OTP（一次性密码）的新趋势，Juniper Research预测2022年用于验证的闪呼次数将从2021年的六千万猛增到五十亿次subex.comglobaltelcoconsult.com。对于WhatsApp这样全球用户庞大的应用，闪呼可以节约大量SMS网关费用，并绕开部分运营商对国际SMS的限制。然而，闪呼也有局限：fossbytes.com首先，iOS设备由于系统安全限制，应用无法访问通话记录，因此iPhone上无法使用闪呼验证fossbytes.com。这意味着苹果用户仍需使用传统短信验证码。其次，为实现自动匹配来电号码，用户必须授予读取通话记录的权限，这在隐私上引发一些担忧fossbytes.comfossbytes.com。WhatsApp声称不会将通话记录用于验证以外的用途，号码匹配也在本地完成fossbytes.com，但考虑到母公司Meta的隐私争议，部分用户依然顾虑。第三，闪呼验证依赖语音通话路线，同样受制于电信网络质量。如果用户所处网络无法接通国际来电（比如被运营商拦截境外短振铃电话），闪呼也无法成功。此外，从运营商角度看，闪呼绕过了A2P短信计费，可能侵蚀短信营收，一些运营商开始研究识别闪呼流量的策略wholesale.orange.com。总体而言，闪呼机制体现了WhatsApp希望减轻对短信依赖的努力，它在许多国家提升了验证体验，但在中国等特殊环境，其效果仍取决于本地语音网络的开放程度。值得注意的是，中国运营商对于境外电话，尤其是这种**“零响铃”未接来电**也有防范措施，中国电信和联通用户就被建议如需接收海外来电验证，应联系客服确保未拦截海外来电hqsmartcloud.com。因此，即便WhatsApp支持闪呼，中国用户若未开启移动语音漫游或运营商许可，仍然难以通过此途径完成验证。

与SIM Swap安全性的关系： 从安全角度看，闪呼并未实质提升抵御SIM交换攻击的能力。如果攻击者成功将受害者的号码转移至自己的SIM卡上（获取新IMSI），那么无论验证码以短信还是闪呼方式发送，都会到达攻击者设备。闪呼机制能防御的是部分恶意拦截短信的行为（如恶意网关或木马读取短信），但对社工换卡没有太大帮助。WhatsApp早已提供两步验证（即设置6位PIN码）供用户自行启用，以防号码被他人重新注册时需要额外密码。然而大量用户未开启该功能。因此，闪呼更多是从用户体验和成本出发的改良，而非针对高级别攻击的防护机制。正如前文所述，真正要防御SIM Swap和SS7漏洞等系统性风险，依赖运营商的号码验证本身就是薄弱环节，需要引入更高级的身份认证手段。

SIM卡交换攻击的风险与运营商信任问题

WhatsApp和Telegram一类基于手机号认证的应用普遍面临一个安全挑战：手机号码本身并非绝对安全的身份凭证。攻击者可以通过一系列手段取得用户的号码控制权，其中SIM交换（SIM Swap）是近年高发的欺诈手法。SIM Swap通常由不法分子冒充用户，诱骗或贿赂运营商客服将目标号码的服务转移到攻击者的新SIM卡上keepnetlabs.com。一旦成功，所有发往该号码的短信和电话都转由攻击者接收，原机主的SIM卡失效。对于依赖短信/电话验证的应用来说，这意味着攻击者可以轻易获取验证码，从而重置账户并登录。近年来全球SIM Swap案件呈上升趋势，许多在线服务的账号被此攻破rte.ie。

WhatsApp并非未知晓此风险。事实上，WhatsApp在其帮助中心和安全博客中多次提醒用户开启两步验证PIN，并强调绝不向他人透露短信验证码。然而，从系统设计上讲，WhatsApp仍将信任根基放在运营商发送到用户手机的那串数字验证码上。一旦运营商端的安全被绕过（无论是内部员工作恶、社工欺诈，还是SS7网络被黑客利用securityaffairs.com），WhatsApp本身无法辨别验证码接收者是否是真正的用户。正如安全研究所Positive Technologies指出的那样，目前主要的即时通讯服务（包括WhatsApp和Telegram）依赖SMS作为主要验证机制，这使得黑客能够通过攻击电信信令网络来接管用户账户securityaffairs.com。换言之，WhatsApp被迫信任每一个参与短信/电话路由的运营商，但这个信任链条上任何薄弱环节都可能遭到利用securityaffairs.com。例如，在SIM Swap攻击中，运营商本身成为被欺骗的对象；而在SS7定位拦截攻击中，全球互联的电信网成为攻击面。在中国的场景下，虽然主要威胁来自审查而非黑客，但本质上仍是WhatsApp无法完全掌控电信网络这一事实所导致的问题。

应对这些风险，WhatsApp和Telegram等采用了一些弥补措施。除了提供用户自行设定的二次密码，两者也开始探索设备多因子的概念（如后文Telegram部分所述，利用已有登录设备确认新登录）。然而，对绝大多数首次注册或更换设备的用户来说，传统的短信/电话验证仍是唯一途径。这就是为什么在高安全需求的行业中，SMS OTP正逐渐被视为不充分securityaffairs.com。监管机构和安全专家建议对涉敏感操作采用更强验证，如专用身份应用、硬件令牌或生物识别等。WhatsApp作为大众通信工具，目前平衡了易用性与安全性，但其依赖电信运营商的验证模式在像中国这样特殊的环境下，既遇到政策阻碍，也隐藏安全短板。这一点对于决策制定者评估国外通信应用在华风险时，是一个重要考量：任何全球运营商合作机制，在中国境内都可能因为**“最后一公里”由中国运营商执行**而受到影响。无论是被拦截信息还是可能的监控窃听，这些风险都源自于底层通信网的控制权不在应用服务商手中。

Telegram登录机制的比较

作为对比，Telegram的账号登录机制与WhatsApp类似，也以手机号码为主要身份标识，但在具体实现上有一些不同之处。

多设备登录与云端代码： Telegram从设计上支持多设备同时在线（手机、平板、PC等），并将聊天内容储存在云端。这带来的一个直接好处是：当用户在新设备上登录时，Telegram会优先通过已登录的其他设备发送登录验证码。例如，用户尝试在电脑上登录Telegram，Telegram会在用户手机上的Telegram应用里推送一条消息包含登录码，而不是立即发短信accountboy.comaccountboy.com。用户只需在新设备输入从老设备上收到的代码即可完成登录。这种机制确保了只要用户至少有一个设备在线，就几乎不需要依赖运营商短信。当然，如果用户当前只有一部新设备（例如换了手机且旧设备不上线），Telegram才会退而求其次，通过SMS发送验证码到手机号。同时，Telegram也允许用户选择语音电话获取验证码，类似于WhatsApp的语音验证。当用户完全无法收到SMS时（比如在中国这种场景），语音呼叫常常比短信更可靠seatuo.com。

两步验证密码： 与WhatsApp一样，Telegram提供可选的两步验证密码。当启用此功能后，即使拿到短信验证码，仍需输入用户设置的密码才能登录账户quora.com。这对抗SIM Swap等攻击提供了另一层防线。不过需要指出，如果用户忘记了设置的Telegram密码且没有设置信任邮箱，可能会永久失去账号访问，因此开启该功能在中国用户中接受度一般。

登录体验与安全性的取舍： Telegram的登录流程在用户体验上更加灵活。多设备下无需每次都收验证码，提高了便利性。但从安全角度看，这种“信任已有设备”的做法也有隐患：如果用户的某个设备落入他人之手并未及时登出，那么该人有可能利用该设备获取新的登录验证码。因此Telegram会在应用中提供管理活动会话的功能，用户可随时查看和撤销其它设备的登录状态telegram.org。总体而言，Telegram和WhatsApp在初始注册环节同样依赖短信/电话，在这一点上，中国的网络环境对两者影响相似：Telegram在中国同样被全面封锁，需要VPN才能使用，其短信验证码发送也会受到运营商限制。另外，Telegram曾在2015年因恐怖分子利用该平台传递信息而被中国当局重点关注并屏蔽，因此其国内可达性甚至比WhatsApp更低。许多中国用户实际使用Telegram时，通常绑定国外号码或通过海外SIM卡来收取验证码，以绕开国内运营商的限制。

差异总结： 简而言之，Telegram在登录验证机制上的主要优势在于已有会话协助和云端同步。这使得老用户换设备时不依赖国内短信通道即可登录（前提是原设备已登录并可访问）。WhatsApp直到最近才推出多设备功能，但其多设备模式采用的是端到端加密设备链路，需要主手机扫码授权，而非像Telegram那样用账号密码登录其它设备。因此WhatsApp仍然强绑定SIM卡设备，首次注册和更换手机号时逃不开运营商环节。安全方面，两者的SMS验证所面临的系统性风险（如SS7攻击、SIM Swap）并无本质区别，都必须仰仗运营商加强对核心网络的保护，以及用户自身启用附加验证措施securityaffairs.comkeepnetlabs.com。

结论

对于希望在中国使用WhatsApp的用户来说，“开启蜂窝数据”这一要求背后体现的是技术与政策交织的复杂现实。一方面，蜂窝数据承载着WhatsApp与其全球服务器通信的关键信道，在中国的受限网络中提供了相对可靠的出路faq.whatsapp.comsohu.com。另一方面，WhatsApp的号码验证机制深深植根于传统电信体系，必须经由全球运营商的“协作”才能完成用户身份确认securityaffairs.com。而在中国，这种协作受到防火长城和运营商政策的双重阻碍：国际短信被拦截、国际数据被阻断。为克服这些障碍，WhatsApp既采取了工程上的应对（如检测强制Wi-Fi并提示使用移动网络faq.whatsapp.com），也引入了诸如闪呼验证等新方案以减少对短信的依赖fossbytes.com。但从根本上说，只要注册流程离不开手机号码，这种与电信运营商的捆绑关系就无法割舍。由此带来的安全问题（如SIM Swap和信令网络漏洞）在全球范围内敲响警钟securityaffairs.comkeepnetlabs.com。

对于从事安全研究和政策评估的人士，这篇分析揭示了WhatsApp在中国遇到的典型困境：技术系统的全球化与监管环境的本地化冲突。WhatsApp全球统一的验证框架在中国水土不服，不得不通过额外的设置和手段来“曲线救国”。这既包括让用户切换网络、配置VPN等绕过审查，也包括思考未来是否有必要采用更安全独立的验证方式。相比之下，Telegram的机制给出了一种启示：灵活运用多设备和云服务，至少在一定程度上降低对单一短信渠道的依赖。然而，Telegram自身在中国的处境表明，再优雅的技术方案也难以直接对抗高强度的网络封锁。最终，无论是WhatsApp还是Telegram，要想在受限环境下可靠运作，都需要技术与政策的双管齐下：一方面提高验证与登录的安全性和多样性，另一方面寻求运营商和监管层面的理解与配合。

综上所述，WhatsApp要求中国用户开启蜂窝数据并非偶然的臆想，而是其全球运营商合作验证机制在中国受阻后的务实选择。这一要求折射出移动通信应用在跨境运营中面临的挑战，也提醒我们在设计安全策略时必须考虑底层依赖的信任假设。对于个人用户，最实际的建议是在使用此类应用时提前了解并遵循这些特殊设置（如开通国际短信、启用数据漫游），并善用应用自身的安全功能（如两步验证）来保护账户免遭社工和网络攻击keepnetlabs.com。对于监管和运营商，则有必要权衡安全审查与用户便利之间的平衡，在可控范围内为可信的全球服务留出技术通道。在全球通信愈加融合的时代，WhatsApp的中国验证问题或许只是一个缩影，背后涉及的既有网络安全考量，也有数字主权与国际合作的议题，值得持续深入研究和关注。

faq.whatsapp.comfossbytes.comtheguardian.comsecurityaffairs.comsecurityaffairs.comkeepnetlabs.comdatascientest.comnetmanias.comsohu.comsohu.com

yakihonne.com iris.to jumble.social Me

@ 3589b793:ad53847e

2025-04-30 12:10:06

前回の続きです。

特に「Snortで試験的にノート単位に投げ銭できる機能」について。実は記事書いた直後にリリースされて慌ててw追記してたんですが追い付かないということで別記事にしました。

今回のここがすごい！

「Snortで試験的にノート単位に投げ銭できる機能」では一つブレイクスルーが起こっています。それは「ウォレットにインボイスを放り投げた後に払い込み完了を提示できる」ようになったことです。これによりペイメントのライフサイクルが一通りカバーされたことになります。

Snortの画面

なにを当たり前のことをという向きもあるかもしれませんが、Nostrクライアントで払い込み完了を追跡することはとても難しいです。基本的にNostrとLNウォレットはまったく別のアプリケーションで両者の間を繋ぐのはインボイス文字列だけです。ウォレットもNostrからキックされずに、インボイス文字列をコピペするなりQRコードで読み取ったものを渡されるだけかもしれません。またその場でリアルタイムに処理される前提もありません。

なのでNostrクライアントでその後をトラックすることは難しく、これまではあくまで請求書を送付したり（LNインボイス）振り込み口座を提示する（LNアドレス）という一方的に放り投げてただけだったわけです。といっても魔法のようにNostrクライアントがトラックできるようになったわけではなく、今回の対応方法もインボイスを発行/お金を振り込まれるサービス側（LNURL）にNostrカスタマイズを入れさせるというものになります。

プロポーザルの概要について

前回の記事ではよくわからんで終わっていましたが、当日夜（日本時間）にスペックをまとめたプロポーザルも起こされました（早い！）。LNURLが、Nostr用のインボイスを発行して、さらにNostrイベントの発行を行っていることがポイントでした。名称は"Lightning Zaps"で確定のようです。プロポーザルは、NostrとLNURLの双方の発明者であるfiatjaf氏からツッコミが入り、またそれが妥当な指摘のために、エンドポイントURLのインターフェースなどは変わりそうなのですが、概要はそう変わらないだろうということで簡単にまとめてみます。

全体の流れ

図は、Nostrクライアント上に提示されているLNアドレスへ投げ銭が開始してから、Nostrクライアント上に払い込み完了したイベントが表示されるまでの流れを示しています。

1. 投げ銭の内容が固まったらNostrイベントデータを添付してインボイスの発行を依頼する
2. 説明欄にNostr用のデータを記載したインボイスを発行して返却する
3. Nostrクライアントで提示されたインボイスをユーザーが何かしらの手段でウォレットに渡す
4. ウォレットがLNに支払いを実行する
5. インボイスの発行者であるLNURLが管理しているLNノードにsatoshiが届く
6. LNURLサーバが投げ銭成功のNostrイベントを発行する
7. Nostrクライアントがイベントを受信して投げ銭履歴を表示する

特にポイントとなるところを補足します。

対応しているLNアドレスの識別

LNアドレスに投げ銭する場合は、LNアドレスの有効状態やインボイス発行依頼する先の情報をhttps://[domain]/.well-known/lnurlp/[username]から取得しています。そのレスポンス内容にNostr対応を示す情報を追加しています。ただし、ここに突っ込み入っていてlnurlp=LNURL Payから独立させるためにzaps専用のエンドポイントに変わりそうです。（2/15 追記　マージされましたが変更無しでした。PRのディスカッションが盛り上がっているので興味ある方は覗いてみてください。）

インボイスの説明欄に書き込むNostrイベント（kind:9734）

これは投げ銭する側のNostrイベントです。投げ銭される者や対象ノートのIDや金額、そしてこのイベントを作成している者が投げ銭したということを「表明」するものになります。表明であって証明でないところは、インボイスを別の人が払っちゃう事態がありえるからですね。この内容をエンクリプトするパターンも用意されていたが複雑になり過ぎるという理由で今回は外され追加提案に回されました。また、このイベントはデータを作成しただけです。支払いを検知した後にLNURLが発行するイベントに添付されることになります。そのため投げ銭する者にちゃんと届くように作成者のリレーサーバリストも書き込まれています。

支払いを検知した後に発行するNostrイベント（kind:9735）

これが実際にNostrリレーサーバに発行されるイベントです。LNURL側はウォッチしているLNノードにsatoshiが届くと、インボイスの説明欄に書かれているNostrイベントを取り出して、いわば受領イベントを作成して発行します。以下のようにNostイベントのkind:9734とkind:9735が親子になったイベントとなります。

json { "pubkey": "LNURLが持っているNostrアカウントの公開鍵", "kind": 9735, "tags": [ [ "p", "投げ銭された者の公開鍵" ], [ "bolt11", "インボイスの文字列lnbc〜" ], [ "description", "投げ銭した者が作成したkind:9734のNostrイベント" ], [ "preimage", "インボイスのpreimage" ] ], }

所感

とにかくNostrクライアントはLNノードを持たないしLNプロトコルとも直接喋らずにインボイス文字列だけで取り扱えるようになっているところがおもしろいと思っています。NostrとLNという二つのデセントライズドなオープンプロトコルが協調できていますし、前回も述べましたがどんなアプリでも簡単に真似できます。

とはいえ、さすがに払込完了のトラックは難しく、今回はLNURL側にそのすり合わせの責務が寄せられることになりました。しかし、LNURLもLNの上に作られたオープンプロトコル/スペックの位置付けになるため、他のLNURLのスペックに干渉するという懸念から、本提案のNIP-57に変更依頼が出されています。LN、LNURL、Nostrの3つのオープンプロトコルの責務分担が難しいですね。アーキテクチャ層のスタックにおいて3つの中ではNostrが一番上になるため、Nostrに相当するレイヤーの他のwebサービスでやるときはLNプロトコルを喋るなりLNノードを持つようにして、今回LNURLが寄せられた責務を吸収するのが無難かもしれません。

また、NIP-57の変更依頼理由の一つにはBOLT-12を見越した抽象化も挙げられています。他のLNURLのスペックを削ぎ落としてzapsだけにすることでBOLT-12にも載りやすくなるだろうと。LNURLの多くはBOLT-12に取り込まれる運命なわけですが、LNアドレス以外の点でもNostrではBOLT-12のOfferやInvoiceRequestのユースケースをやりたいという声が挙がっているため、NostrによりBOLT-12が進む展開もありそうだなあ、あってほしい。

yakihonne.com iris.to jumble.social Me

@ 3589b793:ad53847e

2025-04-30 12:02:13

※本記事は別サービスで2023年2月5日に公開した記事の移植です。

Nostrクライアントは多種ありますがメジャーなものはだいたいLNの支払いが用意されています。現時点でどんな組み込み方法になっているか調べました。この記事では主にSnortを対象にしています。

LN活用場面

大きくLNアドレスとLNインボイスの2つの形式があります。

1. LNアドレスで投げ銭をセットできる

LNURLのLNアドレスをセットすると、プロフィールやノート（ツイートに相当）からLN支払いができます。別クライアントのastralなどではプリミティブなLNURLの投げ銭形式 lnurl1dp68～でもセットできます。

[追記]さらに本日、Snortで試験的にノート単位に投げ銭できる機能が追加されています。

2. LNインボイスが投稿できる

投稿でLNインボイスを貼り付ければ上記のように他の発言と同じようにタイムラインに流れます。Payボタンを押すと各自の端末にあるLNウォレットが立ち上がります。

3. DMでLNインボイスを送る

メッセージにLNインボイスが組み込まれているという点では2とほぼ同じですが、ユースケースが異なります。発表されたばかりですがリレーサーバの有料化が始まっていて、その決済をDMにLNインボイスを送付して行うことが試されています。2だとパブリックに投稿されますが、こちらはプライベートなので購入希望者のみにLNインボイスを届けられます。

おまけ: Nostrのユーザ名をLNアドレスと同じにする

直接は関係ないですが、Nostrはユーザー名をemail形式にすることができます。LNアドレスも自分でドメイン取って作れるのでNostrのユーザー名と投げ銭のアドレスを同じにできます。

LNウォレットのAlbyのドメインをNostrのユーザ名にも活用している様子 [Not found]

実装方法

LNアドレスもLNインボイスも非常にシンプルな話ですが軽くまとめます。 Snortリポジトリ

LNアドレス

1. セットされたLNアドレスを分解してhttps://[domain]/.well-known/lnurlp/[username]にリクエストする
2. 成功したら投げ銭量を決めるUIを提示する
3. Get Inoviceボタンを押したら1のレスポンスにあるcallbackにリクエストしてインボイスを取得する
4. 成功したらPayボタンを提示する

LNインボイス

1. 投稿内容がLNインボイス識別子lnbc10m〜だとわかると、識別子の中の文字列から情報（金額、説明、有効期限）を取り出し、表示用のUIを作成する
2. 有効期限内だったらPayボタンを提示し、期限が切れていたらExpiredでロックする

支払い

Payボタンを押された後の動きはアドレス、インボイスとも同じです。

• ブラウザでWebLN（Albyなど）がセットされていて、window.weblnオブジェクトがenableになっていると、拡張機能の支払い画面が立ち上がる。クライアント側で支払い成功をキャッチすることも可能。
• Open Walletボタンを押すと lightning:lnbc10m~のURI形式でwindow.openされ、Mac/Windows/iPhone/Androidなど各OSに応じたアプリケーション呼び出しが行われ、URIに対応しているLNウォレットが立ち上がる

[追記]ノート単位の投げ銭

Snort周辺の数人（strike社員っぽい人が一人いて本件のメイン実装している）で試験的にやっているようで現時点では実装レベルでしか詳細わかりませんでした。strikeのzapといまいち区別が付かなかったのですが、実装を見るとnostrプロトコルにzapイベントが追加されています。ソースコメントではこの後NIP(nostr improvement proposal)が起こされるようでかなりハッキーです。zap=tipの方言なんでしょうか？

ノートやプロフィールやリアクションなどに加えて新たにnostrイベントに追加しているものは以下2つです。

• zapRequest　投げ銭した側が対象イベントIDと量を記録する
• zapReceipt　投げ銭を受け取った側用のイベント

一つでできそうと思ったけど、nostrは自己主権のプロトコルでイベント作成するには発行者の署名が必須なので2つに分かれているのでしょう。

所感

現状はクライアントだけで完結する非常にシンプルな方法になっています。リレーサーバも経由しないしクライアントにLNノードを組み込むこともしていません。サードパーティへのhttpリクエストやローカルのアプリに受け渡すだけなので、実はどんな一般アプリでもそんなに知識もコストも要らずにパッとできるものです。

現状ちょっと不便だなと思っていることは、タイムラインに流れるインボイスの有効期限内の支払い済みがわからないことです。Payボタンを押してエラーにならないとわかりません。ウォレットアプリに放り投げていてこのトレースするためには、ウォレット側で支払い成功したらNostrイベントを書き込むなどの対応しない限りは、サービス側でインボイスを定期的に一つ一つLNに投げてチェックするなどが必要だと思われるので、他のサービスでマネするときは留意しておくとよさそうです。

一方で、DMによるLNインボイス送付は活用方法が広がりそうな予感があります。Nostrの公開鍵による本人特定と、LNインボイスのメモ欄のテキスト情報による突き合わせだけでも、かんたんな決済機能として用いれそうだからです。もっとNostrに判断材料を追加したければイベント追加も簡単にできることをSnortが示しています。とくにリレーサーバ購読やPROメニューなどのNostr周辺の支払いはやりやすそうなので、DM活用ではなくなにかしらの決済メニューを搭載したNostrクライアントもすぐに出てきそう気がします。

yakihonne.com iris.to jumble.social Me

@ 04c915da:3dfbecc9

2025-05-16 17:51:54

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.

yakihonne.com iris.to jumble.social Me

@ 04c915da:3dfbecc9

2025-05-16 17:12:05

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.

yakihonne.com iris.to jumble.social Me

@ 04c915da:3dfbecc9

2025-05-15 15:31:45

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.

yakihonne.com iris.to jumble.social Me

@ 3589b793:ad53847e

2025-04-30 11:46:52

※本記事は別サービスで2022年9月25日に公開した記事の移植です。

LNの手数料の適正水準はどう見積もったらいいだろうか？ルーティングノードの収益性を算出するためにはどうアプローチすればよいだろうか？本記事ではルーティングノード運用のポジションに立ち参考になりそうな数値や計算式を整理する。

個人的な感想を先に書くと以下となる。

• 現在の手数料市場は収益性が低くもっと手数料が上がった方が健全である。
• 他の決済手段と比較すると、LN支払い料金は10000ppm（手数料1%相当）でも十分ではないか。4ホップとすると中間1ノードあたり2500ppmである。
• ルーティングノードの収益性を考えると、1000ppmあれば1BTC程度の資金で年利2.8%になり半年で初期費用回収できるので十分な投資対象になると考える。

基本概念の整理

LNの料金方式

• LNの手数料は送金額に応じた料率方式が主になる。（基本料金の設定もあるが1 ~ 0 satsが大半）
• 料率単位のppm（parts per million）は、1,000,000satsを送るときの手数料をsats金額で示したもの。
• %での手数料率に変換すると1000ppm = 0.1%になる。
• 支払い者が払う手数料はルーティングに参加した各ノードの手数料の合計である。本稿では4ホップ（経由ノードが4つ）のルーティングがあるとすれば、各ノードの取り分は単純計算で1/4とみなす。
• ルーティングノードの収益はアウトバウンドフローで発生するのでアウトバウンドキャパシティが直接的な収益資源となる。

LNの料金以外のベネフィット

本稿では料金比較だけを行うが実際の決済検討では以下のような料金以外の効用も忘れてはならない。

• Bitcoin(L1)に比べると、料金の安さだけでなく、即時確定やトランザクション量のスケールという利点がある。
• クレジットカードなどの集権サービスと比較した特徴はBitcoin(L1)とだいたい同じである。
• 24時間365日利用できる
• 誰でも自由に使える
• 信頼する第三者に対する加盟や審査や手数料率などの交渉手続きが要らない
• 検閲がなく匿名性が高い
• 逆にデメリットはオンライン前提がゆえの利用の不便さやセキュリティ面の不安さなどが挙げられる。

現在の料金相場

• ルーティングノードの料金設定
• sinkノードとのチャネルは500 ~ 1000ppmが多い。
• routing/sourceノードとのチャネルは0 ~ 100ppmあたりのレンジになる。
• リバランスする場合もsinkで収益を上げているならsink以下になるのが道理である。
• プロダクト/サービスのバックエンドにいるノードの料金設定
• sinkやsourceに相当するものは上記の通り。 
• 1000〜5000ppmあたりで一律同じ設定というノードもよく見かける。
• ビジネスモデル次第で千差万別だがアクティブと思われるノードでそれ以上はあまり見かけない。
• 上記は1ノードあたりの料金になる。支払い全体では経由したノードの合計になる。

料金目安

いくつかの方法で参考数字を出していく。LN料金算出は「支払い全体/2ホップしたときの1ノードあたり/4ホップしたときの1ノードあたり」の三段階で出す。

類推方式

決済代行業者との比較

• Squareの加盟店手数料は、日本3.25%、アメリカ2.60%である。
• 参考資料 https://www.meti.go.jp/shingikai/mono_info_service/cashless_payment/pdf/20220318_1.pdf

3.25%とするとLNでは「支払い全体/2ホップしたときの1ノードあたり/4ホップしたときの1ノードあたり」でそれぞれ32,500ppm/16,250ppm/8,125ppmになる。

スマホのアプリストアとの比較

• Androidのアプリストアは年間売上高が100万USDまでなら15%、それ以上なら30%
• 参考資料https://support.google.com/googleplay/android-developer/answer/112622?hl=ja

15%とするとLNでは「支払い全体/2ホップしたときの1ノードあたり/4ホップしたときの1ノードあたり」でそれぞれ150,000ppm/75,000ppm/37,500ppmになる。

Bitcoin(L1)との比較

Bitcoin(L1)は送金額が異なっても手数料がほぼ同じため、従量課金のLNと単純比較はできない。そのためここではLNの方が料金がお得になる目安を出す。

Bitcoin(L1)の手数料設定

• SegWitのシンプルな送金を対象にする。
• input×1、output×2（送金+お釣り）、tx合計222byte
• L1の手数料は、1sat/byteなら222sats、10sat/byteなら2,220sats、100sat/byteなら22,200sats。（単純化のためvirtual byteではなくbyteで計算する）
• サンプル例 https://www.blockchain.com/btc/tx/15b959509dad5df0e38be2818d8ec74531198ca29ac205db5cceeb17177ff095

L1相場が1sat/byteの時にLNの方がお得なライン

• 100ppmなら、0.0222BTC（2,220,000sats）まで
• 1000ppmなら、0.00222BTC（222,000sats）まで

L1相場が10sat/byteの時にLNの方がお得なライン

• 100ppmなら、0.222BTC（22,200,000sats）まで
• 1000ppmなら、0.0222BTC（2,220,000sats）まで

L1相場が100sat/byteの時にLNの方がお得なライン

• 100ppmなら、2.22BTC（222,000,000sats）まで
• 1000ppmなら、0.222BTC（22,200,000sats）まで

コスト積み上げ方式

ルーティングノードの原価から損益分岐点となるppmを算出する。事業者ではなく個人を想定し、クラウドではなくラズベリーパイでのノード構築環境で計算する。

費用明細

• BTC市場価格　1sat = 0.03円（1BTC = 3百万円)

初期費用

• ハードウェア一式　40,000円
• Raspberry Pi 4 8GB
• SSD 1TB
• 外付けディスプレイ
• チャネル開設のオンチェーン手数料　6.69円/チャネル　　
• 開設料　223sats
• 223sats * BTC市場価格0.03円 = 6.69円

固定費用

• 電気代　291.6円/月　　
• 時間あたりの電力量　0.015kWh 
  • Raspberry Pi 4　電圧5V、推奨電源容量3.0A
  • https://www.raspberrypi.com/documentation/computers/raspberry-pi.html#power-supply
• kWh単価27円
• 0.015kWh * kWh単価27円 * １ヶ月の時間720h = 291.6円

損益分岐点

• 月あたりの電気代を上回るために9,720sats（291.6円）/月以上の収益が必要である。
• ハードウェア費用回収のために0.01333333BTC（133万sats) = 40,000円の収益が必要である。

費用回収シナリオ例

アウトバウンドキャパに1BTCをデポジットしたAさんを例にする。1BTCは初心者とは言えないと思うが、このくらい原資を用意しないと費用回収の話がしづらいという裏事情がある。チャネル選択やルーティング戦略は何もしていない仮定である。ノード運用次第であることは言うまでもないので今回は要素や式を洗い出すことが主目的で一つ一つの変数の値は参考までに。

変数設定

• インバウンドを同額用意して合計キャパを2BTCとする。
• １チャネルあたり5m satsで40チャネル開設する。
• チャネル開設費用　223sats * 40チャネル = 8,920sats
• 初期費用合計　1,333,333sats + 8,920sats = 1,342,253sats
• 一回あたり平均ルーティング量 = 100,000sats
• 1チャネルあたり平均アウトバウンド数/日 = 2
• 1チャネルあたり平均アウトバウンドppm = 50

費用回収地点

• 1日のアウトバウンド量は、 40チャネル * 2本 * 100,000sats = 8m sats
• 手数料収入は、8m sats * 0.005%(50ppm) = 400sats/日。月換算すると12,000sats/月
• 電気代を差し引くと、12,000sats - 電気代9,720sats =月収益2,280sats(68.4円)
• 初期費用回収まで、1,342,253sats / 2,280sats = 589ヵ月（49年）
• 後述するが電気代差引き前で年利0.14%になる。

理想的なppm

6ヵ月での初期費用回収を目的にしてアウトバウンドppmを求める。

• ひと月あたり、初期費用合計1,342,253sats / 6ヵ月 + 電気代9,720sats = 233,429sats(7,003円)の収益が必要。
• 1日あたり、7,781sats(233円)の収益
• その場合の平均アウトバウンドppmは、 7,781sats（1日の収益量） / 8m sats（1日のアウトバウンド量） * 1m sats（ppm変換係数） = 973ppm

他のファイナンスとの比較

ルーティングノードを運用して手数料収入を得ることは資産運用と捉えることもできる。レンディングやトレードなどの他の資産運用手段とパフォーマンス比較をするなら、デポジットしたアウトバウンドキャパシティに対する手数料収入をAPY換算する。（獲得した手数料はアウトバウンドキャパシティに積み重ねられるので複利と見做せる）

例としてLNDg（v1.3.1）のAPY算出計算式を転載する。見ての通り画面上の表記はAPYなのに中身はAPRになっているので注意だが今回は考え方の参考としてこのまま採用する。

年換算 = 365 / 7 = 52.142857 年利 = (7dayの収益 * 年換算) / アウトバウンドのキャパシティ

例えば上記のAさんの費用回収シナリオに当てはめると以下となる。

年利 0.14% = （400sats * 7日 * 年換算）/ 100m sats

電気代を差し引くと 76sats/日となり年利0.027%

もし平均アウトバウンド1000ppmになると8,000sats/日なので年利2.9%になる。 この場合、電気代はほぼ1日で回収されるため差し引いても大差なく7,676sats/日で年利2.8%になる。

考察

以上、BTC市場価格や一日のアウトバウンド量といった重要な数値をいくつか仮置きした上ではあるが、LN手数料の適正水準を考えるための参考材料を提示した。

まず、現在のLNの料金相場は他の決済手段から比べると圧倒的に安いことがわかった。1%でも競争力が十分ありそうなのに0.1%前後で送金することが大半である。

健全な市場発展のためには、ルーティングノードの採算が取れていることが欠かせないと考えるが、残念ながら現在の収益性は低い。ルーティングノードの収益性は仮定に仮定を重ねた見積もりになるが、平均アウトバウンドが1000ppmでようやく個人でも参入できるレベルになるという結論になった。ルーティングノードの立場に立つと、現在の市場平均から大幅な上昇が必要だと考える。

手数料市場は競争のためつねに下方圧力がかかっていて仕様上で可能な0に近づいている。この重力に逆らうためには、1. 需要 > 供給のバランスになること、2. 事業用途での高額買取のチャネルが増えること、の2つの観点を挙げる。1にせよ2にせよネットワークの活用が進むことで発生し、手数料市場の大きな変動機会になるのではないか。他の決済手段と比較すれば10000ppm、1チャネル2500ppmあたりまでは十分に健全な範囲だと考える。

yakihonne.com iris.to jumble.social Me

@ 08f96856:ffe59a09

2025-05-15 01:17:18

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

yakihonne.com iris.to jumble.social Me

@ 58537364:705b4b85

2025-05-17 06:31:52

ความสำเร็จ จำเป็นต้องมีวินัย

ความมีวินัย คือ "การทำด้วยความตั้งใจ ไม่หวั่นไหว/ไหลตามไปกับอารมณ์" ส่วน "ความไร้วินัย" มีนัยยะตรงกันข้าม กล่าวคือ

ความไร้วินัย คือ "การทำตามความหวั่นไหว/ไหลตามไปกับอารมณ์" เช่น ความง่วง หิว เบื่อ เซ็ง พอใจ ไม่พอใจ กลัว หลงไหล/ขาดสติ เป็นต้น จนเกิดข้ออ้างสารพัด เช่น * อ้างว่าเดี๋ยวก่อน เอาไว้ทีหลัง * อ้างว่าเหนื่อยหน่าย * อ้างว่าร้อนไป หนาวไป * อ้างว่ายังเช้าอยู่ * อ้างว่าสายไปแล้ว * ฯลฯ

การสร้างวินัยที่ยั่งยืน "ไม่ได้เกิดจากการฝืน แต่เกิดจากความฝัน" กฎแห่งความฝันระบุว่า เราต้องสร้างภาพสวรรค์ (เป้าหมาย) ให้ชัด จากนั้นให้ลดช่องว่างระหว่างการคิดและการกระทำให้เหลือน้อยที่สุด เพราะถ้าเราคิดมาก ส่วนใหญ่เราจะไม่ได้ทำ จิตใจเราจะอ่อนแอ ไม่เข้มแข็งมั่นคง

กฎแห่งความฝัน ควรฝันเพื่อผู้อื่น อย่าฝันเพื่อตัวเองคนเดียว เพราะขณะที่จิตมุ่งเป้าสู่ความสำเร็จนั้นมัน ถ้ามันมีมากเกินไป สติปัญญาจะอ่อนค่าลง ความรอบรู้จะน้อยลง ณ ขณะนั้นการกระทำทั้งปวงจะขาดความเห็นอกเห็นใจผู้อื่นหากทำเพื่อตัวเองฝ่ายเดียว แต่ถ้าพลังมุ่งเป้าที่ส่วนรวม ทุกการกระทำจะส่งคุณค่าเกิดเป็นความสุขความสำเร็จร่วมกัน

-เมธา หริมเทพาธิบดี

คู่มือมนุษย์

yakihonne.com iris.to jumble.social Me

@ 3589b793:ad53847e

2025-04-30 10:53:29

※本記事は別サービスで2022年5月22日に公開した記事の移植です。

Happy 🍕 Day's Present

まだ邦訳版が出版されていませんがこれまでのシリーズと同じくGitHubにソースコードが公開されています。なんと、現在のライセンスでは個人使用限定なら翻訳や製本が可能です。Macで、翻訳にはPDFをインプットにできるDeepLを用いた環境で、インスタントに製本してKindleなどで読めるようにする方法をまとめました。

手順の概要

1. Ruby環境を用意する
2. PDF作成ツールをセットアップする
3. GitHubのリポジトリを自分のPCにクローンする
4. asciidocをPDFに変換する
5. DeepLを節約するためにPDFを結合する
6. DeepLで翻訳ファイルを作る
7. 一冊に製本する

この手法の強み・弱み

翻訳だけならPDFを挟まなくてもGithubなどでプレビューできるコンパイル後のドキュメントの文章をコピーしてDeepLのWebツールにペーストすればよいですが、原著のペーパーブックで438ページある大容量です。熟練のコピペ職人でも年貢を納めて後進（機械やソフトウェア）に道を譲る刻ではないでしょうか？ただし、Pros/Consがあります。

Pros

• 一冊の本になるので毎度のコピペ作業がいらない
• Pizzaを食べながらタブレットやKindleで読める
• 図や表が欠落しない（プロトコルの手順を追った解説が多いため最大の動機でした）
• 2022/6/16追記: DeepLの拡張機能がアップデートされウェブページの丸ごと翻訳が可能になりました。よってウェブ上のgithubの図表付きページをそのまま翻訳できます。

Cons

• Money is power（大容量のためDeepLの有料契約が必要）
• ページを跨いだ文章が統合されずに不自然な翻訳になる（仕様です）
• ~~翻訳できない章が一つある（解決方法がないか調査中です。DeepLさんもっとエラーメッセージ出してくれ。Help me）~~ DeepLサポートに投げたら翻訳できるようになりました。

詳細ステップ

0.Ruby環境を用意する

asciidoctorも新しく入れるなら最新のビルドで良いでしょう。

1.PDF作成ツールをセットアップする

$ gem install asciidoctor asciidoctor-pdf $ brew install gs

2.GitHubのリポジトリを自分のPCにクローンする

どこかの作業ディレクトリで以下を実行する $ git clone git@github.com:lnbook/lnbook.git $ cd lnbook

3.asciidocをPDFに変換する

ワイルドカードを用いて本文を根こそぎPDF化します。 $ asciidoctor-pdf 0*.asciidoc 1*.asciidoc

いろいろ解析の警告が出ますが、ソースのasciidocを弄んでいくなりawsomeライブラリを導入すれば解消できるはずです。しかし如何せん量が多いので心が折れます。いったん無視して"Done is better than perfect"精神で最後までやり切りましょう。そのままGO！

また、お好みに合わせて、htmlで用意されている装丁用の部品も準備しましょう。私は表紙のcover.htmlをピックしました。ソースがhtmlなのでasciidoctorを通さず普通にPDFへ変換します。https://qiita.com/chenglin/items/9c4ed0dd626234b71a2c

4.DeepLを節約するためにPDFを結合する

DeepLでは課金プラン毎に翻訳可能なファイル数が設定されている上に、一本あたりの最大ファイルサイズが10MBです。また、翻訳エラーになる章が含まれていると丸ごとコケます。そのためPDCAサイクルを回し、最適なファイル数を手探りで見つけます。以下が今回導出した解となります。

$ gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=output_1.pdf 01_introduction.pdf 02_getting_started.pdf 03_how_ln_works.pdf 04_node_client.pdf 05_node_operations.pdf $gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=output_2_1.pdf 06_lightning_architecture.pdf 07_payment_channels.pdf 08_routing_htlcs.pdf $gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=output_2_2.pdf 09_channel_operation.pdf 10_onion_routing.asciidoc$ gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=output_3.pdf 11_gossip_channel_graph.pdf 12_path_finding.pdf 13_wire_protocol.pdf 14_encrypted_transport.pdf 15_payment_requests.pdf 16_security_privacy_ln.pdf 17_conclusion.pdf

5. DeepLで翻訳ファイルを作る

PDFファイルを真心を込めた手作業で一つ一つDeepLにアップロードしていき翻訳ファイルを作ります。ファイル名はデフォルトの[originalName]（日本語）.pdfのままにしています。

6. 一冊に製本する

表紙 + 本文で作成する例です。

$ gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=mastering_ln_jp.pdf cover.pdf "output_1 (日本語).pdf" "output_2_1 (日本語).pdf" "output_2_2 (日本語).pdf" "output_3 (日本語).pdf"

コングラチュレーションズ🎉

あなたは『Mastering the Lightning Network』の日本語版を手に入れた！個人使用に限り、あとは煮るなり焼くなりEPUBなりkindleへ送信するなり好き放題だ。

yakihonne.com iris.to jumble.social Me

@ 502ab02a:a2860397

2025-05-17 03:21:54

ยังมีเรื่องราวของน้ำตาล และ เซลล์ มาคุยกันต่อนะครับ เพราะยังมีคนสงสัยอยู่ว่า เอ้ย ตกลงต้องห่วงการ Spike&Staylong ของอินซุลินอยู่หรือเปล่า แล้วถ้าเราไม่ spike&staylong ก็คือกินคาร์บเบาๆตลอดวันได้เลยใช่ไหมก็มันไม่ spike&staylong แล้วนี่ โอเคครับ เรามาเปิดผับกันอีกครั้ง

คราวก่อนนั้นเราคุยกันเรื่อง ผับน้ำตาลกันไปแล้วนะครับว่า เมื่ออินซูลิน spike สูง และค้างนาน เหมือนเปิดผับแล้ววัยรุ่นแห่กันเข้ามาเที่ยว จนพีอาร์เมาจัด

เผื่อใครจำไม่ได้ ย้อนให้นิดๆครับ ว่าให้ลองนึกภาพว่าเฮียเปิดผับอยู่ดี ๆ ลูกค้าหลั่งไหลเข้ามารัว ๆ เหมือนมีโปรเบียร์ 1 แถม 10 ตอนสามทุ่ม ทุกโต๊ะสั่งข้าวเหนียวหมูปิ้งพร้อมเบียร์น้ำแข็งเต็มโต๊ะ นักเที่ยวก็ยังแห่เข้าผับแบบไม่มีพัก อินซูลินซึ่งเป็นเหมือน “พีอาร์” ที่ต้องจัดการรับแขก (หรือรับน้ำตาลเข้าสู่เซลล์) ก็เลยต้องทำงานหนักแบบ non-stop

อินซูลินเป็นฮอร์โมนสำคัญที่ช่วยเอาน้ำตาลในเลือดเข้าไปเก็บในเซลล์ ถ้า spike ทีเดียวสูงมาก เซลล์ก็รีบดูดน้ำตาลเข้าไปเต็มที่จนเกินพิกัด เหมือนผับที่แน่นจนปิดประตูไม่ลง

ถ้าเหตุการณ์แบบนี้เกิดขึ้นบ่อย ๆ ร่างกายจะเริ่มรู้สึกว่า “ทำไมอินซูลินถึงต้องออกมาบ่อยขนาดนี้วะ?” ระบบก็เริ่มปิดรับแขก เซลล์เริ่มไม่อยากตอบสนอง เพราะมันเหนื่อย มันชิน และมันก็เริ่ม “ดื้ออินซูลิน”

ผลที่ตามมาเมื่อ spike สูงและค้าง สิ่งที่ตามมา... คือความปั่นป่วนในร่างกายอย่างต่อเนื่อง น้ำตาลลอยค้างในเลือด ไปจับกับโปรตีนจนกลายเป็นเจ้า AGEs ตัวร้าย ไขมันก็ถูกสร้างมากขึ้น ล้นเข้าไปสะสมในตับ ในพุง ในซอกที่ร่างกายไม่รู้จะเก็บไว้ตรงไหนแล้ว สมองก็เบลอ ใจวูบ ง่วงงุน... เหมือนเข้าเวรประชุมยาวแบบไม่มีกาแฟ ฮอร์โมนที่เคยเป็นทีมงานสามัคคี ก็เริ่มทะเลาะกันเอง อินซูลินงอน leptin งง ghrelin งวย

แล้วถ้าเราไม่ spike แต่กินคาร์บจุ๋มจิ๋มทั้งวันล่ะ? พอรู้ว่าการเปิดผับแจกคาร์บแบบจัดหนักไม่ดี หลายคนก็ปรับกลยุทธ์ใหม่ มาแนวสายสุขุมว่า “งั้นเปิดผับแบบเนิบ ๆ ก็แล้วกัน… ไม่จัดปาร์ตี้ใหญ่ แต่มีแขกแวะเข้ามาทั้งวัน” ฟังดูดีใช่ไหม? แต่เอาเข้าจริง มันเหนื่อยไม่แพ้กันเลย

ลองนึกภาพว่าประเทศไม่มีเคอร์ฟิว เฮียเปิดผับที่มีลูกค้าเดินเข้าออกไม่หยุด ไม่ได้มากันเป็นฝูงแบบรอบโปรโมชั่น แต่มาเรื่อย ๆ แบบชั่วโมงละโต๊ะ สองโต๊ะ พีอาร์ อินซูลิน ก็เลยต้องยืนต้อนรับแขกตลอดเวลา ไม่มีเวลานั่งพัก ไม่มีช่วงเปลี่ยนกะ ไม่มีเวลาปิดไฟเก็บโต๊ะ คือทำงานต่อเนื่องยาว ๆ ตั้งแต่ 8 โมงเช้า ยัน 8 โมงเช้า สุดท้าย ผับก็เปิดไฟยันสว่าง อินซูลินก็กลายเป็นพนักงานกะดึกตลอดชีพ และเมื่อไม่มีเวลา “พักผับ” ระบบหลังบ้านก็ไม่เคยได้ฟื้นฟูเลย

ภาพรวมของการกินจุ๋มจิ๋มทั้งวันแบบนี้นั้น - เผาผลาญไขมันไม่ออกเลย เพราะอินซูลินทำหน้าที่เหมือนไฟบนเวที ถ้ายังเปิดไฟอยู่ “เครื่องดูดไขมันหลังร้าน” มันก็ไม่ทำงาน - แม่บ้านทำความสะอาดก็เข้าไม่ได้ เพราะแขกเดินเข้าเดินออกตลอด ระบบกำจัดที่ควรจะได้ล้างของเสียในเซลล์ ก็เลยโดนขัดจังหวะตลอด - พนักงานเหนื่อยสะสมจากงานไม่มีหยุด ทำให้เกิดความเครียดสะสมในร่างกาย ฮอร์โมนรวน อารมณ์ก็แปรปรวนง่ายขึ้น หิวเก่งขึ้น ทั้งที่เพิ่งกินไป

เปิดผับแบบคึกคักจัดเต็มทีเดียว แล้วปิดยาว หรือ เปิดทั้งวันแบบไม่มีช่วงปิด สุดท้ายพังทั้งคู่

ทีนี้เราน่าจะพอเห็นภาพร่างคร่าวๆ ของการบริหารการจัดการน้ำตาลในตัวเราได้แล้วนะครับ ว่าจะไดเอทไหนก็ตาม การบริหารการจัดการฮอร์โมนส์ คือสิ่งสำคัญไม่แพ้เรื่องอื่นๆ แม้จะไม่ใช่เรื่องสำคัญที่สุดในสายตาใครก็ตาม

นี่เป็นเพียงจุดเริ่มต้นการเรียนรู้เล็กๆ ซึ่งเส้นทางสายที่เรียกว่า ร่างกาย มันยังไปไกลอีกลิบลับเลยครับ ไม่ว่าจะจังหวัดคอติซอล จังหวัดพฤกษเคมี จังหวัดพลังงาน จังหวัดสารอาหาร แถมลักษณะร่างกายแต่ละคน ก็เปรียบเหมือนรถต่างยี่ห้อ ต่างน้ำมันขับเคลื่อน ต่างซีซี หรือแม้ว่าจะเหมือนกัน ก็ยังต่างปี ต่างไมล์การขับขี่

#pirateketo #กูต้องรู้มั๊ย #ม้วนหางสิลูก #siamstr

yakihonne.com iris.to jumble.social Me

@ f11e91c5:59a0b04a

2025-04-30 07:52:21

!!!2022-07-07に書かれた記事です。

暗号通貨とかでお弁当売ってます 11:30〜14:00ぐらいでやってます

◆住所 木曜日・東京都渋谷区宇田川町41 （アベマタワーの下らへん）

◆お値段

Monacoin 3.9mona

Bitzeny 390zny

Bitcoin 3900sats (#lightningNetwork)

Ethereum 0.0039Ether(#zkSync)

39=thank you. （円を基準にしてません）

最近は週に一回になりました。 他の日はキッチンカーの現場を探したり色々してます。 東京都内で平日ランチ出店出来そうな場所があればぜひご連絡を！

写真はNFCタグです。 スマホにウォレットがあればタッチして3900satsで決済出来ます。 正直こんな怪しい手書きのNFCタグなんて絶対にビットコイナーは触りたくも無いだろうなと思いますが、これでも良いんだぜというメッセージです。

今までbtcpayのposでしたが速度を追求してこれに変更しました。 たまに上手くいかないですがそしたら渋々POS出すので温かい目でよろしくお願いします。

ノードを建てたり決済したりで1年経ちました。 最近も少しずつノードを建てる方が増えてるみたいで本当凄いですねUmbrel 大体の人がルーティングに果敢に挑むのを見つつ 奥さんに土下座しながら費用を捻出する弱小の私は決済の利便性を全開で振り切るしか無いので応援よろしくお願いします。

あえて あえて言うのであれば、ルーティングも楽しいですけど やはり本当の意味での即時決済や相手を選んでチャネルを繋げる楽しさもあるよとお伝えしたいっ！！ 決済を受け入れないと分からない所ですが 承認がいらない時点で画期的です。

QRでもタッチでも金額指定でも入力でも もうやりようには出来てしまうし進化が恐ろしく早いので1番利用の多いpaypayの手数料（事業者側のね）を考えたらビットコイン凄いじゃない！と叫びたくなる。 が、やはり税制面や価格の変動（うちはBTC固定だけども）ウォレットの操作や普及率を考えるとまぁ難しい所もあるんですかね。

それでも継続的に沢山の人が色んな活動をしてるので私も何か出来ることがあれば 今後も奥さんに土下座しながら頑張って行きたいと思います。

(Originally posted 2022-07-07)

I sell bento lunches for cryptocurrency. We’re open roughly 11:30 a.m. – 2:00 p.m. Address Thursdays – 41 Udagawa-chō, Shibuya-ku, Tokyo (around the base of Abema Tower)

Prices Coin Price Note Monacoin 3.9 MONA
Bitzeny 390 ZNY Bitcoin 3,900 sats (Lightning Network)
Ethereum 0.0039 ETH (zkSync) “39” sounds like “thank you” in Japanese. Prices aren’t pegged to yen.

These days I’m open only once a week. On other days I’m out scouting new spots for the kitchen-car. If you know weekday-lunch locations inside Tokyo where I could set up, please let me know!

The photo shows an NFC tag. If your phone has a Lightning wallet, just tap and pay 3,900 sats. I admit this hand-written NFC tag looks shady—any self-respecting Bitcoiner probably wouldn’t want to tap it—but the point is: even this works!

I used to run a BTCPay POS, but I switched to this setup for speed. Sometimes the tap payment fails; if that happens I reluctantly pull out the old POS. Thanks for your patience.

It’s been one year since I spun up a node and started accepting Lightning payments. So many people are now running their own nodes—Umbrel really is amazing. While the big players bravely chase routing fees, I’m a tiny operator scraping together funds while begging my wife for forgiveness, so I’m all-in on maximising payment convenience. Your support means a lot!

If I may add: routing is fun, but instant, trust-minimised payments and the thrill of choosing whom to open channels with are just as exciting. You’ll only understand once you start accepting payments yourself—zero-confirmation settlement really is revolutionary.

QR codes, NFC taps, fixed amounts, manual entry… the possibilities keep multiplying, and the pace of innovation is scary fast. When I compare it to the merchant fees on Japan’s most-used service, PayPay, I want to shout: “Bitcoin is incredible!” Sure, taxes, price volatility (my shop is BTC-denominated, though), wallet UX, and adoption hurdles are still pain points.

Even so, lots of people keep building cool stuff, so I’ll keep doing what I can—still on my knees to my wife, but moving forward!

yakihonne.com iris.to jumble.social Me

@ fd0bcf8c:521f98c0

2025-04-29 13:38:49

The vag' sits on the edge of the highway, broken, hungry. Overhead flies a transcontinental plane filled with highly paid executives. The upper class has taken to the air, the lower class to the roads: there is no longer any bond between them, they are two nations."—The Sovereign Individual

Fire

I was talking to a friend last night. Coffee in hand. Watching flames consume branches. Spring night on his porch.

He believed in America's happy ending. Debt would vanish. Inflation would cool. Manufacturing would return. Good guys win.

I nodded. I wanted to believe.

He leaned forward, toward the flame. I sat back, watching both fire and sky.

His military photos hung inside. Service medals displayed. Patriotism bone-deep.

The pendulum clock on his porch wall swung steadily. Tick. Tock. Measuring moments. Marking epochs.

History tells another story. Not tragic. Just true.

Our time has come. America cut off couldn't compete. Factories sit empty. Supply chains span oceans. Skills lack. Children lag behind. Rebuilding takes decades.

Truth hurts. Truth frees.

Cycles

History moves in waves. Every 500 years, power shifts. Systems fall. Systems rise.

500 BC - Greek coins changed everything. Markets flourished. Athens dominated.

1 AD - Rome ruled commerce. One currency. Endless roads. Bustling ports.

500 AD - Rome faded. Not overnight. Slowly. Trade withered. Cities emptied. Money debased. Roads crumbled. Local strongmen rose. Peasants sought protection. Feudalism emerged.

People still lived. Still worked. Horizons narrowed. Knowledge concentrated. Most barely survived. Rich adapted. Poor suffered.

Self-reliance determined survival. Those growing food endured. Those making essential goods continued. Those dependent on imperial systems suffered most.

1000 AD - Medieval revival began. Venice dominated seas. China printed money. Cathedrals rose. Universities formed.

1500 AD - Europeans sailed everywhere. Spanish silver flowed. Banks financed kingdoms. Companies colonized continents. Power moved west.

The pendulum swung. East to West. West to East. Civilizations rose. Civilizations fell.

2000 AD - Pattern repeats. America strains. Digital networks expand. China rises. Debt swells. Old systems break.

We stand at the hinge.

Warnings

Signs everywhere. Dollar weakens globally. BRICS builds alternatives. Yuan buys oil. Factories rust. Debt exceeds GDP. Interest consumes budgets.

Bridges crumble. Education falters. Politicians chase votes. We consume. We borrow.

Rome fell gradually. Citizens barely noticed. Taxes increased. Currency devalued. Military weakened. Services decayed. Life hardened by degrees.

East Rome adapted. Survived centuries. West fragmented. Trade shrank. Some thrived. Others suffered. Life changed permanently.

Those who could feed themselves survived best. Those who needed the system suffered worst.

Pendulum

My friend poured another coffee. The burn pile popped loudly. Sparks flew upward like dying stars.

His face changed as facts accumulated. Military man. Trained to assess threats. Detect weaknesses.

He stared at the fire. National glory reduced to embers. Something shifted in his expression. Recognition.

His fingers tightened around his mug. Knuckles white. Eyes fixed on dying flames.

I traced the horizon instead. Observing landscape. Noting the contrast.

He touched the flag on his t-shirt. I adjusted my plain gray one.

The unpayable debt. The crumbling infrastructure. The forgotten manufacturing. The dependent supply chains. The devaluing currency.

The pendulum clock ticked. Relentless. Indifferent to empires.

His eyes said what his patriotism couldn't voice. Something fundamental breaking.

I'd seen this coming. Years traveling showed me. Different systems. Different values. American exceptionalism viewed from outside.

Pragmatism replaced my old idealism. See things as they are. Not as wished.

The logs shifted. Flames reached higher. Then lower. The cycle of fire.

Divergence

Society always splits during shifts.

Some adapt. Some don't.

Printing arrived. Scribes starved. Publishers thrived. Information accelerated. Readers multiplied. Ideas spread. Adapters prospered.

Steam engines came. Weavers died. Factory owners flourished. Villages emptied. Cities grew. Coal replaced farms. Railways replaced wagons. New skills meant survival.

Computers transformed everything. Typewriters vanished. Software boomed. Data replaced paper. Networks replaced cabinets. Programmers replaced typists. Digital skills determined success.

The self-reliant thrived in each transition. Those waiting for rescue fell behind.

Now AI reshapes creativity. Some artists resist. Some harness it. Gap widens daily.

Bitcoin offers refuge. Critics mock. Adopters build wealth. The distance grows.

Remote work redraws maps. Office-bound struggle. Location-free flourish.

The pendulum swings. Power shifts. Some rise with it. Some fall against it.

Two societies emerge. Adaptive. Resistant. Prepared. Pretending.

Advantage

Early adapters win. Not through genius. Through action.

First printers built empires. First factories created dynasties. First websites became giants.

Bitcoin followed this pattern. Laptop miners became millionaires. Early buyers became legends.

Critics repeat themselves: "Too volatile." "No value." "Government ban coming."

Doubters doubt. Builders build. Gap widens.

Self-reliance accelerates adaptation. No permission needed. No consensus required. Act. Learn. Build.

The burn pile flames like empire's glory. Bright. Consuming. Temporary.

Blindness

Our brains see tigers. Not economic shifts.

We panic at headlines. We ignore decades-long trends.

We notice market drops. We miss debt cycles.

We debate tweets. We ignore revolutions.

Not weakness. Just humanity. Foresight requires work. Study. Thought.

Self-reliant thinking means seeing clearly. No comforting lies. No pleasing narratives. Just reality.

The clock pendulum swings. Time passes regardless of observation.

Action

Empires fall. Families need security. Children need futures. Lives need meaning.

You can adapt faster than nations.

Assess honestly. What skills matter now? What preserves wealth? Who helps when needed?

Never stop learning. Factory workers learned code. Taxi drivers joined apps. Photographers went digital.

Diversify globally. No country owns tomorrow. Learn languages. Make connections. Stay mobile.

Protect your money. Dying empires debase currencies. Romans kept gold. Bitcoin offers similar shelter.

Build resilience. Grow food. Make energy. Stay strong. Keep friends. Read old books. Some things never change.

Self-reliance matters most. Can you feed yourself? Can you fix things? Can you solve problems? Can you create value without systems?

Movement

Humans were nomads first. Settlers second. Movement in our blood.

Our ancestors followed herds. Sought better lands. Survival meant mobility.

The pendulum swings here too. Nomad to farmer. City-dweller to digital nomad.

Rome fixed people to land. Feudalism bound serfs to soil. Nations created borders. Companies demanded presence.

Now technology breaks chains. Work happens anywhere. Knowledge flows everywhere.

The rebuild America seeks requires fixed positions. Factory workers. Taxpaying citizens in permanent homes.

But technology enables escape. Remote work. Digital currencies. Borderless businesses.

The self-reliant understand mobility as freedom. One location means one set of rules. One economy. One fate.

Many locations mean options. Taxes become predatory? Leave. Opportunities disappear? Find new ones.

Patriotism celebrates roots. Wisdom remembers wings.

My friend's boots dug into his soil. Planted. Territorial. Defending.

My Chucks rested lightly. Ready. Adaptable. Departing.

His toolshed held equipment to maintain boundaries. Fences. Hedges. Property lines.

My backpack contained tools for crossing them. Chargers. Adapters. Currency.

The burn pile flame flickers. Fixed in place. The spark flies free. Movement its nature.

During Rome's decline, the mobile survived best. Merchants crossing borders. Scholars seeking patrons. Those tied to crumbling systems suffered most.

Location independence means personal resilience. Economic downturns become geographic choices. Political oppression becomes optional suffering.

Technology shrinks distance. Digital work. Video relationships. Online learning.

Self-sovereignty requires mobility. The option to walk away. The freedom to arrive elsewhere.

Two more worlds diverge. The rooted. The mobile. The fixed. The fluid. The loyal. The free.

Hope

Not decline. Transition. Painful but temporary.

America may weaken. Humanity advances. Technology multiplies possibilities. Poverty falls. Knowledge grows.

Falling empires see doom. Rising ones see opportunity. Both miss half the picture.

Every shift brings destruction and creation. Rome fell. Europe struggled. Farms produced less. Cities shrank. Trade broke down.

Yet innovation continued. Water mills appeared. New plows emerged. Monks preserved books. New systems evolved.

Different doesn't mean worse for everyone.

Some industries die. Others birth. Some regions fade. Others bloom. Some skills become useless. Others become gold.

The self-reliant thrive in any world. They adapt. They build. They serve. They create.

Choose your role. Nostalgia or building.

The pendulum swings. East rises again. The cycle continues.

Fading

The burn pile dimmed. Embers fading. Night air cooling.

My friend's shoulders changed. Tension releasing. Something accepted.

His patriotism remained. His illusions departed.

The pendulum clock ticked steadily. Measuring more than minutes. Measuring eras.

Two coffee cups. His: military-themed, old and chipped but cherished. Mine: plain porcelain, new and unmarked.

His eyes remained on smoldering embers. Mine moved between him and the darkening trees.

His calendar marked local town meetings. Mine tracked travel dates.

The last flame flickered out. Spring peepers filled the silence.

In darkness, we watched smoke rise. The world changing. New choices ahead.

No empire lasts forever. No comfort in denial. Only clarity in acceptance.

Self-reliance the ancient answer. Build your skills. Secure your resources. Strengthen your body. Feed your mind. Help your neighbors.

The burn pile turned to ash. Empire's glory extinguished.

He stood facing his land. I faced the road.

A nod between us. Respect across division. Different strategies for the same storm.

He turned toward his home. I toward my vehicle.

The pendulum continued swinging. Power flowing east once more. Five centuries ending. Five centuries beginning.

"Bear in mind that everything that exists is already fraying at the edges." — Marcus Aurelius

Tomorrow depends not on nations. On us.

yakihonne.com iris.to jumble.social Me

@ c9badfea:610f861a

2025-05-17 03:08:55

1. Install Rethink (it's free and open source)
2. Launch the app and tap Skip
3. Tap Start and then Proceed to set up the VPN connection
4. Allow notifications and Proceed, then disable battery optimization for this app (you may need to set it to Unrestricted)
5. Navigate to Configure and tap Apps
6. On the top bar, tap 🛜 and 📶 to block all apps from connecting to the internet
7. Search Apps for the apps you want to allow and Bypass Universal
8. Return to the Configure view and tap DNS, then choose your preferred DNS provider (e.g. DNSCrypt > Quad9)
9. Optionally, tap On-Device Blocklists, then Disabled, Download Blocklists, and later Configure (you may need to enable the Use In-App Downloader option if the download is not working)
10. Return to the Configure view and tap Firewall, then Universal Firewall Rules and enable the options as desired:
    • Block all apps when device is locked
    • Block newly installed apps by default
    • Block when DNS is bypassed
11. Optionally, to set up WireGuard or Tor, return to the Configure view and tap Proxy
    • For Tor, tap Setup Orbot, then optionally select all the apps that should route through Tor (you must have Orbot installed)
    • For WireGuard, tap Setup WireGuard, then +, and select an option to import a WireGuard configuration (QR Code Scan, File Import, or Creation).
      • Use Simple Mode for a single WireGuard connection (all apps are routed through it).
      • Use Advanced Mode for multiple WireGuard connections (split tunnel, manually choosing apps to route through them)

⚠️ Use this app only if you know what you are doing, as misconfiguration can lead to missing notifications and other problems

ℹ️ On the main view, tap Logs to track all connections

ℹ️ You can also use a WireGuard connection (e.g., from your VPN provider) and on-device blocklists together

yakihonne.com iris.to jumble.social Me

@ 83279ad2:bd49240d

2025-04-29 05:53:52

test

yakihonne.com iris.to jumble.social Me

@ 23b0e2f8:d8af76fc

2025-01-08 18:17:52

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.

---

yakihonne.com iris.to jumble.social Me

@ c1e9ab3a:9cb56b43

2025-05-09 23:10:14

I. Historical Foundations of U.S. Monetary Architecture

The early monetary system of the United States was built atop inherited commodity money conventions from Europe’s maritime economies. Silver and gold coins—primarily Spanish pieces of eight, Dutch guilders, and other foreign specie—formed the basis of colonial commerce. These units were already integrated into international trade and piracy networks and functioned with natural compatibility across England, France, Spain, and Denmark. Lacking a centralized mint or formal currency, the U.S. adopted these forms de facto.

As security risks and the practical constraints of physical coinage mounted, banks emerged to warehouse specie and issue redeemable certificates. These certificates evolved into fiduciary media—claims on specie not actually in hand. Banks observed over time that substantial portions of reserves remained unclaimed for years. This enabled fractional reserve banking: issuing more claims than reserves held, so long as redemption demand stayed low. The practice was inherently unstable, prone to panics and bank runs, prompting eventual centralization through the formation of the Federal Reserve in 1913.

Following the Civil War and unstable reinstatements of gold convertibility, the U.S. sought global monetary stability. After World War II, the Bretton Woods system formalized the U.S. dollar as the global reserve currency. The dollar was nominally backed by gold, but most international dollars were held offshore and recycled into U.S. Treasuries. The Nixon Shock of 1971 eliminated the gold peg, converting the dollar into pure fiat. Yet offshore dollar demand remained, sustained by oil trade mandates and the unique role of Treasuries as global reserve assets.

II. The Structure of Fiduciary Media and Treasury Demand

Under this system, foreign trade surpluses with the U.S. generate excess dollars. These surplus dollars are parked in U.S. Treasuries, thereby recycling trade imbalances into U.S. fiscal liquidity. While technically loans to the U.S. government, these purchases act like interest-only transfers—governments receive yield, and the U.S. receives spendable liquidity without principal repayment due in the short term. Debt is perpetually rolled over, rarely extinguished.

This creates an illusion of global subsidy: U.S. deficits are financed via foreign capital inflows that, in practice, function more like financial tribute systems than conventional debt markets. The underlying asset—U.S. Treasury debt—functions as the base reserve asset of the dollar system, replacing gold in post-Bretton Woods monetary logic.

III. Emergence of Tether and the Parastatal Dollar

Tether (USDT), as a private issuer of dollar-denominated tokens, mimics key central bank behaviors while operating outside the regulatory perimeter. It mints tokens allegedly backed 1:1 by U.S. dollars or dollar-denominated securities (mostly Treasuries). These tokens circulate globally, often in jurisdictions with limited banking access, and increasingly serve as synthetic dollar substitutes.

If USDT gains dominance as the preferred medium of exchange—due to technological advantages, speed, programmability, or access—it displaces Federal Reserve Notes (FRNs) not through devaluation, but through functional obsolescence. Gresham’s Law inverts: good money (more liquid, programmable, globally transferable USDT) displaces bad (FRNs) even if both maintain a nominal 1:1 parity.

Over time, this preference translates to a systemic demand shift. Actors increasingly use Tether instead of FRNs, especially in global commerce, digital marketplaces, or decentralized finance. Tether tokens effectively become shadow base money.

IV. Interaction with Commercial Banking and Redemption Mechanics

Under traditional fractional reserve systems, commercial banks issue loans denominated in U.S. dollars, expanding the money supply. When borrowers repay loans, this destroys the created dollars and contracts monetary elasticity. If borrowers repay in USDT instead of FRNs:

• Banks receive a non-Fed liability (USDT).
• USDT is not recognized as reserve-eligible within the Federal Reserve System.
• Banks must either redeem USDT for FRNs, or demand par-value conversion from Tether to settle reserve requirements and balance their books.

This places redemption pressure on Tether and threatens its 1:1 peg under stress. If redemption latency, friction, or cost arises, USDT’s equivalence to FRNs is compromised. Conversely, if banks are permitted or compelled to hold USDT as reserve or regulatory capital, Tether becomes a de facto reserve issuer.

In this scenario, banks may begin demanding loans in USDT, mirroring borrower behavior. For this to occur sustainably, banks must secure Tether liquidity. This creates two options: - Purchase USDT from Tether or on the secondary market, collateralized by existing fiat. - Borrow USDT directly from Tether, using bank-issued debt as collateral.

The latter mirrors Federal Reserve discount window operations. Tether becomes a lender of first resort, providing monetary elasticity to the banking system by creating new tokens against promissory assets—exactly how central banks function.

V. Structural Consequences: Parallel Central Banking

If Tether begins lending to commercial banks, issuing tokens backed by bank notes or collateralized debt obligations: - Tether controls the expansion of broad money through credit issuance. - Its balance sheet mimics a central bank, with Treasuries and bank debt as assets and tokens as liabilities. - It intermediates between sovereign debt and global liquidity demand, replacing the Federal Reserve’s open market operations with its own issuance-redemption cycles.

Simultaneously, if Tether purchases U.S. Treasuries with FRNs received through token issuance, it: - Supplies the Treasury with new liquidity (via bond purchases). - Collects yield on government debt. - Issues a parallel form of U.S. dollars that never require redemption—an interest-only loan to the U.S. government from a non-sovereign entity.

In this context, Tether performs monetary functions of both a central bank and a sovereign wealth fund, without political accountability or regulatory transparency.

VI. Endgame: Institutional Inversion and Fed Redundancy

This paradigm represents an institutional inversion:

• The Federal Reserve becomes a legacy issuer.
• Tether becomes the operational base money provider in both retail and interbank contexts.
• Treasuries remain the foundational reserve asset, but access to them is mediated by a private intermediary.
• The dollar persists, but its issuer changes. The State becomes a fiscal agent of a decentralized financial ecosystem, not its monetary sovereign.

Unless the Federal Reserve reasserts control—either by absorbing Tether, outlawing its instruments, or integrating its tokens into the reserve framework—it risks becoming irrelevant in the daily function of money.

Tether, in this configuration, is no longer a derivative of the dollar—it is the dollar, just one level removed from sovereign control. The future of monetary sovereignty under such a regime is post-national and platform-mediated.

yakihonne.com iris.to jumble.social Me

@ 207ad2a0:e7cca7b0

2025-01-07 03:46:04

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.

yakihonne.com iris.to jumble.social Me

@ 21335073:a244b1ad

2025-05-09 13:56:57

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.

yakihonne.com iris.to jumble.social Me

@ e6817453:b0ac3c39

2025-01-05 14:29:17

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!

yakihonne.com iris.to jumble.social Me

@ 78b3c1ed:5033eea9

2025-04-29 04:04:19

Umbrel Core-lightning(以下CLNと略す)を運用するにあたり役に立ちそうなノウハウやメモを随時投稿します。

・configファイルを用意する Umbrelのアプリとして必要な設定はdocker-compose.ymlで指定されている。 それ以外の設定をしたい場合configファイルに入れると便利。 configファイルの置き場所は /home/umbrel/umbrel/app-data/core-lightning/data/lightningd ここにtouch configとでもやってファイルをつくる。 cd /home/umbrel/umbrel/app-data/core-lightning/data/lightningd touch config 以下内容をひな型として使ってみてください。 行頭に#があるとコメント行になります。つまり.iniフォーマット。 /home/umbrel/umbrel/app-data/core-lightning/data/lightningd/config ```

[General options]

[Bitcoin control options]

[Lightning daemon options]

[Lightning node customization options]

[Lightning channel and HTLC options]

[Payment control options]

[Networking options]

[Lightning Plugins]

[Experimental Options]

``` configに設定できる内容は以下を参照 https://lightning.readthedocs.io/lightningd-config.5.html セクションを意味する[]があるけれどもこれは私(tanakei)が意図的に見やすく区別しやすくするために付けただけ。これら行の＃は外さない。

・configの設定をCLNに反映させる appスクリプトでCLNを再起動すると反映することができる。 configを書き換えただけでは反映されない。 cd /home/umbrel/umbrel/scripts ./app restart core-lightning

・ログをファイルに出力させる

以下の場所でtouch log.txtとしてlog.txtファイルを作る。 /home/umbrel/umbrel/app-data/core-lightning/data/lightningd cd /home/umbrel/umbrel/app-data/core-lightning/data/lightningd touch log.txt 次にconfigの[Lightning daemon options]セクションにlog-fileを追加する。 ```

[Lightning daemon options]

log-file=/data/.lightning/log.txt ``` ※Dockerによって/home/umbrel/umbrel/app-data/core-lightning/data/lightningd は /data/.lightning として使われている。

・addrとbind-addrの違い どちらも着信用のインターフェースとポートの設定。addrは指定したホストIPアドレス:ポート番号をノードURIに含めて公開する(node_announcementのuris)。bind-addrは公開しない。

・実験的機能のLN Offerを有効にする configの[Experimental Options]セクションに以下を追加する。 ```

[Experimental Options]

experimental-onion-messages experimental-offers ``` ※ v24.08でexperimental-onion-messageは廃止されデフォルト有効であり、上記設定の追加は不要になりました。 ※ v21.11.1 では experimental-offersは廃止されデフォルト有効であり、上記設定の追加は不要になりました。 もう実験扱いじゃなくなったのね...

・完全にTorでの発信オンリーにする UmbrelはなぜかCLNの発信をClearnetとTorのハイブリッドを許している。それは　always-use-proxy=true　の設定がないから。(LNDは発着信Torのみなのに) なのでこの設定をconfigに追加してCLNも発着進Torのみにする。 ```

[Networking options]

always-use-proxy=true ```

・任意のニーモニックからhsm_secretを作る CLNのhsm_secretはLNDのwallet.dbのようなもの。ノードで使う様々な鍵のマスター鍵となる。Umbrel CLNはこのhsm_secretファイルを自動生成したものを使い、これをバックアップするためのニーモニックを表示するとかそういう機能はない。自分で作って控えてあるニーモニックでhsm_secretを作ってしまえばこのファイルが壊れてもオンチェーン資金は復旧はできる。

1.CLNインストール後、dockerコンテナに入る docker exec -it core-lightning_lightningd_1 bash 2.lightning-hsmtoolコマンドを使って独自hsm_secretを作る ``` cd data/.lightning/bitcoin lightning-hsmtool generatehsm my-hsm_secret

・上記コマンドを実行するとニーモニックの言語、ニーモニック、パスフレーズの入力を催促される。 Select your language: 0) English (en) 1) Spanish (es) 2) French (fr) 3) Italian (it) 4) Japanese (jp) 5) Chinese Simplified (zhs) 6) Chinese Traditional (zht) Select [0-7]: 0　※定番の英単語なら0を入力 Introduce your BIP39 word list separated by space (at least 12 words): <ニーモニックを入力する> Warning: remember that different passphrases yield different bitcoin wallets. If left empty, no password is used (echo is disabled). Enter your passphrase: <パスフレーズを入力する>　※パスフレーズ不要ならそのままエンターキーを押す。 New hsm_secret file created at my-hsm_secret Use the encrypt command to encrypt the BIP32 seed if needed

コンテナから抜ける exit

3.appスクリプトでCLNを止めて、独自hsm_secret以外を削除 ※【重要】いままで使っていたhsm_secretを削除する。もしチャネル残高、ウォレット残高があるならチャネルを閉じて資金を退避すること。自己責任！ cd ~/umbrel/scripts/ ./app stop core-lightning

cd ~/umbrel/app-data/core-lightning/data/lightningd/bitcoin rm gossip_store hsm_secret lightningd.sqlite3 lightning-rpc mv my-hsm_secret hsm_secret 4.appスクリプトでCLNを再開する cd ~/umbrel/scripts/ ./app start core-lightning ```

【補記】 hsm_secret作成につかうニーモニックはBIP39で、LNDのAezeedと違って自分が作成されたブロック高さというものを含んでいない。新規でなくて復元して使う場合は作成されたブロック高さからブロックチェーンをrescanする必要がある。 configの１行目にrescanオプションを付けてCLNをリスタートする。 ``` // 特定のブロック高さを指定する場合はマイナス記号をつける rescan=-756000

// 現在のブロック高さから指定ブロック分さかのぼった高さからrescanする rescan=10000 ※現在の高さが760,000なら10000指定だと750,000からrescan ```

・clnrestについて core-lightningでREST APIを利用したい場合、別途c-lightning-restを用意する必要があった。v23.8から標準でclnrestというプラグインがついてくる。pythonで書かれていて、ソースからビルドした場合はビルド完了後にpip installでインストールする。elementsproject/lightningdのDockerイメージではインストール済みになっている。 (v25.02からgithubからバイナリをダウンロードしてきた場合はpip install不要になったようだ) このclnrestを使うにはcreaterunesコマンドでruneというLNDのマカロンのようなものを作成する必要がある。アプリ側でこのruneとREST APIを叩いてcore-lightningへアクセスすることになる。 自分が良く使っているLNbitsやスマホアプリZeus walletはclnrestを使う。まだclnrestに対応していないアプリもあるので留意されたし。

・Emergency recoverについて LNDのSCBのようなもの。ファイル名はemergency.recover チャネルを開くと更新される。 hsm_secretとこのファイルだけを置いてCLNを開始すると自動でこのファイルから強制クローズするための情報が読み出されてDLPで相手から強制クローズするような仕組み。この機能はv0.12から使える。

動作確認してみた所、LNDのSCBに比べるとかなり使いづらい。 1. CLNがTor発信だとチャネルパートナーと接続できない。 　Clearnet発信できても相手がTorのみノードならTor発信せざるを得ない。 　相手と通信できなければ資金回収できない。 2. 相手がLNDだとなぜか強制クローズされない。相手がCLNならできる。

つまり、自分と相手がClearnetノードでかつ相手もCLNならば Emergency recoverで強制クローズして資金回収できる。こんな条件の厳しい復旧方法がマジで役に立つのか？

v0.11以降ならばLNDのchannel.dbに相当するlightningd.sqlite3をプライマリ・セカンダリDBと冗長化できるので、セカンダリDBをNFSで保存すればUmbrelのストレージが壊れてもセカンダリDBで復旧できる。そのためemergerncy.recoverを使う必要がないと思われる。

・LN offer(BOLT#12)ついて 使いたいなら 1.publicチャネルを開く 　publicチャネルを開けばチャネルとノードの情報(channel_announcement, node_announcement)が他ノードに伝わる。送金したい相手がこの情報を元に経路探索する。 2.その後しばらく待つ CLNノードを立てたばかりだと経路探索するに十分なチャネルとノードの情報が揃ってない。せめて1日は待つ。

LNURLの場合インボイスをhttpsで取得するが、OfferはLN経由で取得する。そのためにチャネルとノードの情報が必要。privateチャネルばかりのノードはチャネル情報もそうだがノード情報も出さない。 Offerで使えるBlind pathという機能なら中間ノードIDを宛先ノードとすることが可能で、これならチャネルとノード情報を公開しなくても受けとれるのだがCLNは対応してない模様(2025年1月現在) CLNでOfferで受け取るにはチャネルとノード情報を公開する必要がある。そのためpublicチャネルを開く。公開されていれば良いのでTorでもOK。クリアネットで待ち受けは必須ではない。

・hsm_sercretとニーモニック lightning-hsmtoolを使うとニーモニックからhsm_secretを作れる。ニーモニックからシードを作ると64バイト。これはニーモニックおよびソルトにパスフレーズをPBKDF2(HMAC-SHA512を2048回)にかけると512ビット(64バイト)のシードができる。しかしhsm_secretは32バイト。CLNでは64バイトの最初の32バイトをhsm_secretとして利用しているみたい。 このhsm_secretにHMAC-SHA512をかけて512ビットとした値がウォレットのマスター鍵となる。なのでhsm_secret自体がBIP-32でいうマスターシードそのものではない。 sparrow walletにCLNのウォレットを復元したい場合は lightning-hsmtool dumponchaindescriptors --show-secrets とやってディスクリプターウォレットを出力。出力内容にマスター鍵(xprv～)があるので、これをインポートする。導出パス設定はm/0とする。sparrowが残りを補完してm/0/0/0, m/0/0/1とやってくれる。

<おまけ> configファイルのサンプル。Umbrelを使わない場合は以下のサンプルが役に立つはず。上記のelementsproject/lightningdならば/root/.lightningに任意のディレクトリをマウントしてそのディレクトリにconfigを置く。 ```

[General options]

不可逆なDBアップグレードを許可しない

database-upgrade=false

[Bitcoin control options]

network=bitcoin bitcoin-rpcconnect= bitcoin-rpcport= bitcoin-rpcuser= bitcoin-rpcpassword=

[Lightning daemon options]

postgresを使う場合

wallet=postgres://USER:PASSWORD@HOST:PORT/DB_NAME

bookkeeper-db=postgres://USER:PASSWORD@HOST:PORT/DB_NAME

sqlite3を使う場合。デフォルトはこちらで以下の設定が無くても~/.lightning/bitconに自動で作成される。

wallet=sqlite3:///home/USERNAME/.lightning/bitcoin/lightningd.sqlite3

bookkeeper-db=sqlite3:///home/USERNAME/.lightning/bitcoin/accounts.sqlite3

ログファイルは自動で作成されない

log-file=/home/USERNAME/.lightning/lightningd-log

log-level=debug

[Lightning node customization options]

alias= rgb=

固定手数料。ミリサトシで指定。

fee-base=1000000

変動手数料。ppmで指定。

fee-per-satoshi=0

最小チャネルキャパシティ(sats)

min-capacity-sat=100000

HTLC最少額。ミリサトシで指定。

htlc-minimum-msat=1000

[Lightning channel and HTLC options]

large-channels # v23.11よりデフォルトでラージチャネルが有効。

チャネル開設まで6承認

funding-confirms=6

着信できるHTLCの数。開いたら変更できない。1～483 (デフォルトは 30) の範囲にする必要があります

max-concurrent-htlcs=INTEGER

アンカーチャネルを閉じるためにウォレットに保持しておく資金。デフォルトは 25,000sat

チャネルを"忘れる(forget)"するまではリザーブされる模様。forgetはチャネル閉じてから100ブロック後

min-emergency-msat=10000000

[Cleanup control options]

autoclean-cycle=3600 autoclean-succeededforwards-age=0 autoclean-failedforwards-age=0 autoclean-succeededpays-age=0 autoclean-failedpays-age=0 autoclean-paidinvoices-age=0 autoclean-expiredinvoices-age=0

[Payment control options]

disable-mpp

[Networking options]

bind-addrだとアナウンスしない。

bind-addr=0.0.0.0:9375

tor

proxy=: always-use-proxy=true

Torの制御ポート。addr=statictor だとhidden serviceをノードURIとして公開する。

addr=statictor:: tor-service-password=

experimental-websocket-portは廃止された。bind-addr=ws:が代替。

bind-addr=ws::2106

clnrestプラグイン, REST API

clnrest-host=0.0.0.0 clnrest-port=3010 clnrest-protocol=http

v24.11よりgrpcはデフォルト有効

grpc-host=0.0.0.0 grpc-port=9736

[Lightning Plugins]

[Experimental Options]

experimental-onion-messages # v24.08で廃止。デフォルト有効

experimental-offers # v24.11.1で廃止。デフォルト有効

流動性広告からチャネルを開くときにexperimental-dual-fundが必要らしい。

experimental-dual-fund

experimental-splicing

experimental-peer-storage

```

yakihonne.com iris.to jumble.social Me

@ 14206a66:689725cf

2025-05-17 01:49:33

This article is a repost, migrating from Substack

Uncertainty is the only constant

It goes without saying that uncertainty is a given in business. It could be the weather, pestilence, or some other physical phenomenon that brings different conditions for your business (good or bad). Or it could be uncertainty in the behaviour of consumers, suppliers, workers, or any other person critical to your success. Most of the time, we just don’t know what will happen next.

One of the most important skills in managing a business, then, is making predictions in the face of uncertainty. We have several tools to do so. The first covers methods from the physical sciences, and involves calculating the frequency of events. We need to unpick a concept at the root of uncertainty, probability.

Thanks for reading Department of Praxeology! Subscribe for free to receive new posts and support my work.

Subscribed

Types of probability

In Human Action, Ludwig von Mises introduces us to two classifications of probability: case and class probability.

Case probability

Case probability is when we know something about some of the factors which determine the outcome, but not others.

This is the kind of probability most often encountered in business. We often know small key parts about several factors that lead to a particular outcome, we might see that oil prices have risen significantly, coupled with a decrease in the exchange rate. These factors help to lead to the outcome of a rising price of fertiliser. But then, there are other factors that lead to this outcome, such as a myriad of decisions by businesspeople all along the supply chain. These, we know absolutely nothing about!

Class probability

Class probability is when we know everything about the particular kind (or class) of event, but we don’t know anything at all about the specific event.

We do encounter class probability in business. But it happens at very specific times (as opposed to just all the time, as with case probability).

Myrtle rust, picture courtesy of NZ Department of Conservation

For example (and sticking to agriculture) we know nothing about an outbreak of Myrtle rust on our farm. But we know, from agricultural science, that the likelihood of an outbreak in our area for a given year is about 13 percent.

So how can we make predictions of these events?

Making predictions

For the latter (class probabilities, like losses caused by Myrtle rust) we can always rely on methods from the physical sciences to calculate frequencies. Then, we know that the physical world has certain constants, so we can say that given a set of conditions (like rainfall) the likelihood of losses from Myrtle rust in future is about 12 percent.

Thinking about the former (case probabilities such as changing consumer preferences, or changes in prices). In these situations we are dealing with the realm of human decisions. So while we can count the number of these events, we cannot use these counts for prediction. The reason is that, in the realm of human decisions, there are no constants. We can’t say that given the world of 2023 prices rose five times, therefore in the world of 2027 prices will rise five times. Even if physical conditions are the same, human decisions will not be.

Luckily, economic science does give us an answer. In dealing with case probabilities we should use our method of understanding (which I wrote about here).

Using this in your business

You can incorporate this knowledge into your business by critically analysing each event for which you need to make a prediction. Is the event dealing with the physical world, for which there are constants? Or is it the realm of human decisions, for which there are no constants? It most likely is a mix of these.

Work backwards and jot down the more granular events which compose the event in question. Then try again to fit each of these into case or class probability.

When each event is broken down into only one category you know which methods of prediction to apply to each event.

For case probabilities, engage a specialist in the area. For class probabilities, engage your own expertise in understanding, and consider hiring an economist to augment your analysis.

yakihonne.com iris.to jumble.social Me

@ 78b3c1ed:5033eea9

2025-04-27 01:48:48

※スポットライトから移植した古い記事です。参考程度に。

これを参考にしてUmbrelのBitcoin Nodeをカスタムsignetノードにする。 以下メモ書きご容赦。備忘録程度に書き留めました。

メインネットとは共存できない。Bitcoinに依存する全てのアプリを削除しなければならない。よって実験機に導入すべき。

<手順>

1.Umbrel Bitcoin Nodeアプリのadvance settingでsignetを選択。

2.CLI appスクリプトでbitcoinを止める。 cd umbrel/scripts ./app stop bitcoin 3.bitcoin.conf, umbrel-bitcoin.conf以外を削除 ディレクトリの場所は ~/umbrel/app-data/bitcoin/data/bitcoin 4.umbrel-bitcoin.confをsu権限で編集。末尾にsignetchallengeを追加。 ``` [signet] bind=0.0.0.0:8333 bind=10.21.21.8:8334=onion

51,21,<公開鍵>,51,ae

signetchallenge=5121<公開鍵>51ae 5.appスクリプトでbitcoinを開始。 cd ~/umbrel/scripts ./app start bitcoin ``` 6.適当にディレクトリを作りgithubからbitcoindのソースをクローン。

7.bitcoindのバイナリをダウンロード、bitcoin-cliおよびbitcoin-utilを~/.local/binに置く。6.のソースからビルドしても良い。ビルド方法は自分で調べて。

8.bitcondにマイニング用のウォレットを作成 ``` alias bcli='docker exec -it bitcoin_bitcoind_1 bitcoin-cli -signet -rpcconnect=10.21.21.8 -rpcport=8332 -rpcuser=umbrel -rpcpassword=<パスワード>'

ウォレットを作る。

bcli createwallet "mining" false true "" false false

秘密鍵をインポート

bcli importprivkey "<秘密鍵>" RPCパスワードは以下で確認 cat ~/umbrel/.env | grep BITCOIN_RPC_PASS 9.ソースにあるbitcoin/contrib/signet/minerスクリプトを使ってマイニング cd <ダウンロードしたディレクトリ>/bitcoin/contrib/signet

難易度の算出

./miner \ --cli="bitcoin-cli -signet -rpcconnect=10.21.21.8 -rpcport=8332 -rpcuser=umbrel -rpcpassword=<パスワード>" calibrate \ --grind-cmd="bitcoin-util grind" --seconds 30 ★私の環境で30秒指定したら nbits=1d4271e7 と算出された。実際にこれで動かすと２分30になるけど...

ジェネシスブロック生成

./miner \ --cli="bitcoin-cli -signet -rpcconnect=10.21.21.8 -rpcport=8332 -rpcuser=umbrel -rpcpassword=<パスワード>" generate \ --address <ビットコインアドレス> \ --grind-cmd="bitcoin-util grind" --nbits=1d4271e7 \ --set-block-time=$(date +%s)

継続的にマイニング

./miner \ --cli="bitcoin-cli -signet -rpcconnect=10.21.21.8 -rpcport=8332 -rpcuser=umbrel -rpcpassword=<パスワード>" generate \ --address <ビットコインアドレス> \ --grind-cmd="bitcoin-util grind" --nbits=1d4271e7 \ --ongoing ``` ここまでやればカスタムsignetでビットコインノードが稼働する。

yakihonne.com iris.to jumble.social Me

@ 78b3c1ed:5033eea9

2025-04-27 01:42:48

・ThunderHubで焼いたマカロンがlncli printmacaroonでどう見えるか確認した。

ThunderHub macaroon permissions

get invoices invoices:read create invoices invoices:write get payments offchain:read pay invoices offchain:write get chain transactions onchain:read send to chain address onchain:write create chain address address:write get wallet info info:read stop daemon info:write この結果によれば、offchain:wirteとonchain:writeの権限がなければそのマカロンを使うクライアントは勝手にBTCを送金することができない。 info:writeがなければ勝手にLNDを止めたりすることができない。

・lncli printmacaroonでデフォルトで作られるmacaroonのpermissionsを調べてみた。 admin.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "address:read", "address:write", "info:read", "info:write", "invoices:read", "invoices:write", "macaroon:generate", "macaroon:read", "macaroon:write", "message:read", "message:write", "offchain:read", "offchain:write", "onchain:read", "onchain:write", "peers:read", "peers:write", "signer:generate", "signer:read" ], "caveats": null } chainnotifier.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "onchain:read" ], "caveats": null } invoice.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "address:read", "address:write", "invoices:read", "invoices:write", "onchain:read" ], "caveats": null } invoices.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "invoices:read", "invoices:write" ], "caveats": null } readonly.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "address:read", "info:read", "invoices:read", "macaroon:read", "message:read", "offchain:read", "onchain:read", "peers:read", "signer:read" ], "caveats": null } router.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "offchain:read", "offchain:write" ], "caveats": null } signer.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "signer:generate", "signer:read" ], "caveats": null } walletkit.macaroon { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "address:read", "address:write", "onchain:read", "onchain:write" ], "caveats": null }

・lncli listpermissions コマンドですべての RPC メソッド URI と、それらを呼び出すために必要なマカロン権限を一覧表示できる。 LND v0.18.5-betaでやると1344行ほどのJSONができる。 AddInvoiceだとinvoice:writeのpermissionを持つmacaroonを使えばインボイスを作れるようだ。 "/lnrpc.Lightning/AddInvoice": { "permissions": [ { "entity": "invoices", "action": "write" } ] }, lncli listpermissionsからentityとactionを抜き出してみた。 ``` "entity": "address", "entity": "info", "entity": "invoices", "entity": "macaroon", "entity": "message", "entity": "offchain", "entity": "onchain", "entity": "peers", "entity": "signer",

"action": "generate" "action": "read" "action": "write" lncli とjqを組み合わせると例えば以下コマンドでinvoices:writeを必要とするRPCの一覧を表示できる。 invoices:writeだとAddInvoiceの他にホドルインボイス作成でも使ってるようだ lncli listpermissions | jq -r '.method_permissions | to_entries[] | select(.value.permissions[] | select(.entity == "invoices" and .action == "write")) | .key' /invoicesrpc.Invoices/AddHoldInvoice /invoicesrpc.Invoices/CancelInvoice /invoicesrpc.Invoices/HtlcModifier /invoicesrpc.Invoices/LookupInvoiceV2 /invoicesrpc.Invoices/SettleInvoice /lnrpc.Lightning/AddInvoice invoices:readだと以下となる。 /invoicesrpc.Invoices/SubscribeSingleInvoice /lnrpc.Lightning/ListInvoices /lnrpc.Lightning/LookupInvoice /lnrpc.Lightning/SubscribeInvoices LNの主だった機能のRPCはoffchainが必要ぽいので抜き出してみた。 offchain:write チャネルの開閉、ペイメントの送信までやってるみたい。 デフォルトのmacaroonでoffchain:writeを持ってるのはadminとrouterの2つだけ。openchannel,closechannelはonchain:writeのpermissionも必要なようだ。 /autopilotrpc.Autopilot/ModifyStatus /autopilotrpc.Autopilot/SetScores /lnrpc.Lightning/AbandonChannel /lnrpc.Lightning/BatchOpenChannel /lnrpc.Lightning/ChannelAcceptor /lnrpc.Lightning/CloseChannel /lnrpc.Lightning/DeleteAllPayments /lnrpc.Lightning/DeletePayment /lnrpc.Lightning/FundingStateStep /lnrpc.Lightning/OpenChannel /lnrpc.Lightning/OpenChannelSync /lnrpc.Lightning/RestoreChannelBackups /lnrpc.Lightning/SendCustomMessage /lnrpc.Lightning/SendPayment /lnrpc.Lightning/SendPaymentSync /lnrpc.Lightning/SendToRoute /lnrpc.Lightning/SendToRouteSync /lnrpc.Lightning/UpdateChannelPolicy /routerrpc.Router/HtlcInterceptor /routerrpc.Router/ResetMissionControl /routerrpc.Router/SendPayment /routerrpc.Router/SendPaymentV2 /routerrpc.Router/SendToRoute /routerrpc.Router/SendToRouteV2 /routerrpc.Router/SetMissionControlConfig /routerrpc.Router/UpdateChanStatus /routerrpc.Router/XAddLocalChanAliases /routerrpc.Router/XDeleteLocalChanAliases /routerrpc.Router/XImportMissionControl /wtclientrpc.WatchtowerClient/AddTower /wtclientrpc.WatchtowerClient/DeactivateTower /wtclientrpc.WatchtowerClient/RemoveTower /wtclientrpc.WatchtowerClient/TerminateSession "/lnrpc.Lightning/OpenChannel": { "permissions": [ { "entity": "onchain", "action": "write" }, { "entity": "offchain", "action": "write" } ] }, offchain:read readの方はチャネルやインボイスの状態を確認するためのpermissionのようだ。 /lnrpc.Lightning/ChannelBalance /lnrpc.Lightning/ClosedChannels /lnrpc.Lightning/DecodePayReq /lnrpc.Lightning/ExportAllChannelBackups /lnrpc.Lightning/ExportChannelBackup /lnrpc.Lightning/FeeReport /lnrpc.Lightning/ForwardingHistory /lnrpc.Lightning/GetDebugInfo /lnrpc.Lightning/ListAliases /lnrpc.Lightning/ListChannels /lnrpc.Lightning/ListPayments /lnrpc.Lightning/LookupHtlcResolution /lnrpc.Lightning/PendingChannels /lnrpc.Lightning/SubscribeChannelBackups /lnrpc.Lightning/SubscribeChannelEvents /lnrpc.Lightning/SubscribeCustomMessages /lnrpc.Lightning/VerifyChanBackup /routerrpc.Router/BuildRoute /routerrpc.Router/EstimateRouteFee /routerrpc.Router/GetMissionControlConfig /routerrpc.Router/QueryMissionControl /routerrpc.Router/QueryProbability /routerrpc.Router/SubscribeHtlcEvents /routerrpc.Router/TrackPayment /routerrpc.Router/TrackPaymentV2 /routerrpc.Router/TrackPayments /wtclientrpc.WatchtowerClient/GetTowerInfo /wtclientrpc.WatchtowerClient/ListTowers /wtclientrpc.WatchtowerClient/Policy /wtclientrpc.WatchtowerClient/Stats ・おまけ1 RPCメソッド名にopenを含む要素を抽出するコマンド lncli listpermissions | jq '.method_permissions | to_entries[] | select(.key | test("open"; "i"))' { "key": "/lnrpc.Lightning/BatchOpenChannel", "value": { "permissions": [ { "entity": "onchain", "action": "write" }, { "entity": "offchain", "action": "write" } ] } } { "key": "/lnrpc.Lightning/OpenChannel", "value": { "permissions": [ { "entity": "onchain", "action": "write" }, { "entity": "offchain", "action": "write" } ] } } { "key": "/lnrpc.Lightning/OpenChannelSync", "value": { "permissions": [ { "entity": "onchain", "action": "write" }, { "entity": "offchain", "action": "write" } ] } } ・おまけ２ thunderhubで作ったmacaroonはテキストで出力されコピペして使うもので、macaroonファイルになってない。 HEXをmacaroonファイルにするには以下コマンドでできる。HEXをコピペして置換する。またYOURSの箇所を自分でわかりやすい名称に置換すると良い。 echo -n "HEX" | xxd -r -p > YOURS.macaroon thunderhubで"Create Invoices, Get Invoices, Get Wallet Info, Get Payments, Pay Invoices"をチェックして作ったmacaroonのpermissionsは以下となる。 { "version": 2, "location": "lnd", "root_key_id": "0", "permissions": [ "info:read", "invoices:read", "invoices:write", "offchain:read", "offchain:write" ], "caveats": null } ``` offchain:writeはあるがonchain:writeがないのでチャネル開閉はできないはず。

yakihonne.com iris.to jumble.social Me

@ d61f3bc5:0da6ef4a

2025-05-05 15:26:08

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 a media file and maliciously ascribe it to the note author.
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! 🌸

yakihonne.com iris.to jumble.social Me

@ a4a6b584:1e05b95b

2025-01-02 18:13:31

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.

yakihonne.com iris.to jumble.social Me

@ 2183e947:f497b975

2025-05-01 22:33:48

Most darknet markets (DNMs) are designed poorly in the following ways:

1. Hosting

Most DNMs use a model whereby merchants fill out a form to create their listings, and the data they submit then gets hosted on the DNM's servers. In scenarios where a "legal" website would be forced to censor that content (e.g. a DMCA takedown order), DNMs, of course, do not obey. This can lead to authorities trying to find the DNM's servers to take enforcement actions against them. This design creates a single point of failure.

A better design is to outsource hosting to third parties. Let merchants host their listings on nostr relays, not on the DNM's server. The DNM should only be designed as an open source interface for exploring listings hosted elsewhere, that way takedown orders end up with the people who actually host the listings, i.e. with nostr relays, and not with the DNM itself. And if a nostr relay DOES go down due to enforcement action, it does not significantly affect the DNM -- they'll just stop querying for listings from that relay in their next software update, because that relay doesn't work anymore, and only query for listings from relays that still work.

2. Moderation

Most DNMs have employees who curate the listings on the DNM. For example, they approve/deny listings depending on whether they fit the content policies of the website. Some DNMs are only for drugs, others are only for firearms. The problem is, to approve a criminal listing is, in the eyes of law enforcement, an act of conspiracy. Consequently, they don't just go after the merchant who made the listing but the moderators who approved it, and since the moderators typically act under the direction of the DNM, this means the police go after the DNM itself.

A better design is to outsource moderation to third parties. Let anyone call themselves a moderator and create lists of approved goods and services. Merchants can pay the most popular third party moderators to add their products to their lists. The DNM itself just lets its users pick which moderators to use, such that the user's choice -- and not a choice by the DNM -- determines what goods and services the user sees in the interface.

That way, the police go after the moderators and merchants rather than the DNM itself, which is basically just a web browser: it doesn't host anything or approve of any content, it just shows what its users tell it to show. And if a popular moderator gets arrested, his list will still work for a while, but will gradually get more and more outdated, leading someone else to eventually become the new most popular moderator, and a natural transition can occur.

3. Escrow

Most DNMs offer an escrow solution whereby users do not pay merchants directly. Rather, during the Checkout process, they put their money in escrow, and request the DNM to release it to the merchant when the product arrives, otherwise they initiate a dispute. Most DNMs consider escrow necessary because DNM users and merchants do not trust one another; users don't want to pay for a product first and then discover that the merchant never ships it, and merchants don't want to ship a product first and then discover that the user never pays for it.

The problem is, running an escrow solution for criminals is almost certain to get you accused of conspiracy, money laundering, and unlicensed money transmission, so the police are likely to shut down any DNM that does this. A better design is to oursource escrow to third parties. Let anyone call themselves an escrow, and let moderators approve escrows just like they approve listings. A merchant or user who doesn't trust the escrows chosen by a given moderator can just pick a different moderator. That way, the police go after the third party escrows rather than the DNM itself, which never touches user funds.

4. Consequences

Designing a DNM along these principles has an interesting consequence: the DNM is no longer anything but an interface, a glorified web browser. It doesn't host any content, approve any listings, or touch any money. It doesn't even really need a server -- it can just be an HTML file that users open up on their computer or smart phone. For two reasons, such a program is hard to take down:

First, it is hard for the police to justify going after the DNM, since there are no charges to bring. Its maintainers aren't doing anything illegal, no more than Firefox does anything illegal by maintaining a web browser that some people use to browse illegal content. What the user displays in the app is up to them, not to the code maintainers. Second, if the police decided to go after the DNM anyway, they still couldn't take it down because it's just an HTML file -- the maintainers do not even need to run a server to host the file, because users can share it with one another, eliminating all single points of failure.

Another consequence of this design is this: most of the listings will probably be legal, because there is more demand for legal goods and services than illegal ones. Users who want to find illegal goods would pick moderators who only approve those listings, but everyone else would use "legal" moderators, and the app would not, at first glance, look much like a DNM, just a marketplace for legal goods and services. To find the illegal stuff that lurks among the abundant legal stuff, you'd probably have to filter for it via your selection of moderators, making it seem like the "default" mode is legal.

5. Conclusion

I think this DNM model is far better than the designs that prevail today. It is easier to maintain, harder to take down, and pushes the "hard parts" to the edges, so that the DNM is not significantly affected even if a major merchant, moderator, or escrow gets arrested. I hope it comes to fruition.

yakihonne.com iris.to jumble.social Me

@ 21335073:a244b1ad

2025-05-01 01:51:10

Please respect Virginia Giuffre’s memory by refraining from asking about the circumstances or theories surrounding her passing.

Since Virginia Giuffre’s death, I’ve reflected on what she would want me to say or do. This piece is my attempt to honor her legacy.

When I first spoke with Virginia, I was struck by her unshakable hope. I had grown cynical after years in the anti-human trafficking movement, worn down by a broken system and a government that often seemed complicit. But Virginia’s passion, creativity, and belief that survivors could be heard reignited something in me. She reminded me of my younger, more hopeful self. Instead of warning her about the challenges ahead, I let her dream big, unburdened by my own disillusionment. That conversation changed me for the better, and following her lead led to meaningful progress.

Virginia was one of the bravest people I’ve ever known. As a survivor of Epstein, Maxwell, and their co-conspirators, she risked everything to speak out, taking on some of the world’s most powerful figures.

She loved when I said, “Epstein isn’t the only Epstein.” This wasn’t just about one man—it was a call to hold all abusers accountable and to ensure survivors find hope and healing.

The Epstein case often gets reduced to sensational details about the elite, but that misses the bigger picture. Yes, we should be holding all of the co-conspirators accountable, we must listen to the survivors’ stories. Their experiences reveal how predators exploit vulnerabilities, offering lessons to prevent future victims.

You’re not powerless in this fight. Educate yourself about trafficking and abuse—online and offline—and take steps to protect those around you. Supporting survivors starts with small, meaningful actions. Free online resources can guide you in being a safe, supportive presence.

When high-profile accusations arise, resist snap judgments. Instead of dismissing survivors as “crazy,” pause to consider the trauma they may be navigating. Speaking out or coping with abuse is never easy. You don’t have to believe every claim, but you can refrain from attacking accusers online.

Society also fails at providing aftercare for survivors. The government, often part of the problem, won’t solve this. It’s up to us. Prevention is critical, but when abuse occurs, step up for your loved ones and community. Protect the vulnerable. it’s a challenging but a rewarding journey.

If you’re contributing to Nostr, you’re helping build a censorship resistant platform where survivors can share their stories freely, no matter how powerful their abusers are. Their voices can endure here, offering strength and hope to others. This gives me great hope for the future.

Virginia Giuffre’s courage was a gift to the world. It was an honor to know and serve her. She will be deeply missed. My hope is that her story inspires others to take on the powerful.

yakihonne.com iris.to jumble.social Me

@ 14206a66:689725cf

2025-05-17 01:44:35

This article is a repost, migrating from Substack

Introduction

Released in November 2020 by fiatjaf, Nostr is an open, decentralised, censorship-resistant messaging protocol. The protocol is well designed, and many authors have written extensively about the mechanics and use-cases. For the purposes of this article, I will narrow the focus to Nostr as a tool to enable the creation of platform markets. My aim is to give the reader an introduction to platform market pricing and provide concrete steps to price their platform strategically.

What is a Platform Market?

A platform market consists of multiple groups of users who want to interact but can’t do so directly. The platform brings them together to enable interaction, benefiting all users and the platform itself by enabling these interactions and pricing appropriately. Although platform markets have been around forever, the last decade has seen an explosion in their number due to the ubiquity of the internet.

Examples:

·         Google

·         YouTube

·         TV

·         Facebook

·         Twitter (X)

Platform markets have historically earned significant revenue if they design their pricing correctly. This is because platform markets don’t need to produce goods themselves; rather, one or more “sides” of the platform produce goods and services for the other side, with the platform merely enabling the exchange. TikTok is a prime example: it produces nothing except a video hosting service, with users generating all the content for other users. Effectively, the platform has only fixed costs and very low marginal costs.

Therefore, platform markets are far more scalable than traditional one-sided markets, as their primary concern is to attract as many users as possible (who have no marginal cost to the platform). Additionally, platforms often enjoy a captive audience, making it difficult for competitors to entice away users once they are established. This is particularly evident in software and payment platforms.

How Does Nostr Enable the Creation of Platform Markets?

·         Open Protocol: Like the internet, Nostr is an open protocol.

·         Inbuilt Payment Systems: Nostr integrates payment systems such as Bitcoin’s Lightning Network.

·         Existing User Base: It already has a growing user base.

·         Decentralisation: This feature acts as a moat against competitors.

Types of platform enabled by Nostr

As of 2024 we are seeing multiple types of platforms that Nostr has enabled. The first is Nostr relays. A Nostr relay is a simple server that receives and broadcasts user notes (messages) in the Nostr protocol. Users can publish and fetch notes across multiple relays. Nostr relays can be configured by their operator to curate content on specific topics or people. Alternatively, they can be configured with an algorithm as experienced by users of contemporary social media. These can be valuable for users. And potentially, paid relays are a viable business opportunity.

The second platform Nostr enables is the Nostr client. Nostr clients are analogous to internet browser software. Historically, we have seen users be charged to install an internet browser, though this is unlikely to emerge in the market for Nostr clients. As a platform, a Nostr client might be bundled with a relay service (with curation or algorithm).

The third type of platform is Nostr apps. Each app can be designed as a platform if that is valuable for users. We are already seeing Nostr-based alternatives for music and video streaming, looking to compete with apps like YouTube.

We can’t know what the future will hold but the possibilities for designing platforms with Nostr are many. The advantage in designing a platform is that you can create a two sided market.

What is a Two-Sided Market?

All two-sided markets are platform markets, but not all platform markets are two-sided markets. The critical aspect of a two-sided market is that the volume of interactions on the platform depends on both the relative prices charged to each side and the total price charged. This is the case when both sides value more users on the other side, known in literature as an “indirect network externality.”

An example of a one-sided platform market is a clothes retailer, where the volume of sales depends only on the total price, not the relative prices charged to buyers and producers. Conversely, YouTube is a two-sided market where both creators and watchers benefit from more users. Watchers benefit from more variety and quality, while creators benefit from more users and views. YouTube introduces a special category of creators, the advertisers, who benefit monetarily from views because consumers viewing their content are likely to purchase their goods.

The prices paid by YouTube users are not all monetary:

·         Watchers are charged an inconvenience fee in the form of advertisements.

·         Advertisers are charged a monetary fee.

·         Creators are not charged any fees.

Let’s assume the total fees for YouTube add up to $100. Say advertisers are charged $90, watchers face an inconvenience worth $10, and creators still enjoy $0 costs. In this scenario, the total volume of videos watched might be some number like 100,000.

Assume we change the price structure to advertisers being charged $80, watchers paying an inconvenience worth $10, and creators being charged $10 (keeping the total fees at $100). In this new scenario, the likely outcome is that the marginal creator will no longer create videos, and thus, the total volume of videos watched will fall.

Two-Sided Markets that Allow Money Exchange

The key to understanding Nostr’s value lies in its inbuilt payment mechanism—Bitcoin’s Lightning Network protocol. Although this protocol is not part of the Nostr codebase, the existing Nostr clients incorporate it to allow users to pay each other bitcoin with a simple user interface. This means that Nostr as a protocol is ideal for creating platforms where users can exchange monetary value. The mechanics and design choices of the Lightning network further augment Nostr’s value proposition more so than traditional payment systems like credit cards, PayPal, etc.

Key Problem: Chicken and Egg

So far, we have established that platform markets enable at least two groups of users to come together and exchange. The primary problem is that both groups will only use the platform if the other group is already using it, creating a classic chicken and egg scenario. Platforms operate by bringing groups of users together, making users reticent to switch to a new platform because they don’t know if the other users will be there. This gives existing platforms enormous power.

Guy Swann sums this up well in this Nostr note: note1695j0czewtkfwy7h4ne7k2ug706uwc7lendsq50prsfp8vwq8nfszdx4z7.

Competing with Existing Platforms: Divide and Conquer!

To compete with existing platforms, you need to divide and conquer. The original formulation for this strategy is given in both Caillaud and Jullien (2003) and Armstrong (2006). To take advantage of the indirect network externalities identified earlier, the divide and conquer strategy involves subsidising one side of the market to attract a large user base (the "divide" part) and then monetising the other side of the market (the "conquer" part).

Divide: Attract one side of the market by offering lower prices or subsidies. For example, offer free registration to one side. This subsidy is essential to kickstart the network effects, as a larger user base on one side increases the platform’s attractiveness to the other side. This was observed in the early days of YouTube, which was free for both creators and watchers.

Conquer: Once a substantial user base is established on the subsidised side, charge higher fees on the other side of the market. This can be seen in contemporary YouTube, where advertisers (a specific kind of creator) pay fees, and watchers deal with the inconvenience of watching ads (inconvenience is a non-price fee).

Implementing This Strategy in Your Platform:

So who are are you dividing, who are you conquering? Deciding which side to subsidise involves understanding which side offers more benefit to the other side. For example, in nightclubs (Wright, 2004), men and women go to interact. Men are assumed to gain more from each woman’s presence than vice versa, so nightclubs often subsidise women with free entry or drinks to attract men.

First, consider all your user groups. What brings them to your platform, what do they want to gain by interacting with the other user groups.

Think about, and identify, which group confers more value for the other group by being on the platform.

Then, think about how you can subsidise that user group. Free access is common. But Nostr allows seamless payment integration which encourages users to exchange money. A potential model for your platform could be that you charge a fee to both users based on how much value they send to each other. One way to subsidise users in this case is to reduce those fees.

Alternatively, you could pay users to join your platform using Nostr’s integration with the Lightning Network.

References:

·         Armstrong, M. (2006). Competition in two-sided markets. The RAND Journal of Economics, 37(3), 668-691.

·         Caillaud, B., & Jullien, B. (2003). Chicken & Egg: Competition among Intermediation Service Providers. The RAND Journal of Economics, 34(2), 309-328.

·         Wright, J. (2004). One-sided logic in two-sided markets. Review of Network Economics, 3(1).

yakihonne.com iris.to jumble.social Me

@ 3bf0c63f:aefa459d

2025-04-25 18:55:52

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

yakihonne.com iris.to jumble.social Me

@ 52b4a076:e7fad8bd

2025-04-28 00:48:57

I have been recently building NFDB, a new relay DB. This post is meant as a short overview.

Regular relays have challenges

Current relay software have significant challenges, which I have experienced when hosting Nostr.land: - Scalability is only supported by adding full replicas, which does not scale to large relays. - Most relays use slow databases and are not optimized for large scale usage. - Search is near-impossible to implement on standard relays. - Privacy features such as NIP-42 are lacking. - Regular DB maintenance tasks on normal relays require extended downtime. - Fault-tolerance is implemented, if any, using a load balancer, which is limited. - Personalization and advanced filtering is not possible. - Local caching is not supported.

NFDB: A scalable database for large relays

NFDB is a new database meant for medium-large scale relays, built on FoundationDB that provides: - Near-unlimited scalability - Extended fault tolerance - Instant loading - Better search - Better personalization - and more.

Search

NFDB has extended search capabilities including: - Semantic search: Search for meaning, not words. - Interest-based search: Highlight content you care about. - Multi-faceted queries: Easily filter by topic, author group, keywords, and more at the same time. - Wide support for event kinds, including users, articles, etc.

Personalization

NFDB allows significant personalization: - Customized algorithms: Be your own algorithm. - Spam filtering: Filter content to your WoT, and use advanced spam filters. - Topic mutes: Mute topics, not keywords. - Media filtering: With Nostr.build, you will be able to filter NSFW and other content - Low data mode: Block notes that use high amounts of cellular data. - and more

Other

NFDB has support for many other features such as: - NIP-42: Protect your privacy with private drafts and DMs - Microrelays: Easily deploy your own personal microrelay - Containers: Dedicated, fast storage for discoverability events such as relay lists

Calcite: A local microrelay database

Calcite is a lightweight, local version of NFDB that is meant for microrelays and caching, meant for thousands of personal microrelays.

Calcite HA is an additional layer that allows live migration and relay failover in under 30 seconds, providing higher availability compared to current relays with greater simplicity. Calcite HA is enabled in all Calcite deployments.

For zero-downtime, NFDB is recommended.

Noswhere SmartCache

Relays are fixed in one location, but users can be anywhere.

Noswhere SmartCache is a CDN for relays that dynamically caches data on edge servers closest to you, allowing: - Multiple regions around the world - Improved throughput and performance - Faster loading times

routerd

routerd is a custom load-balancer optimized for Nostr relays, integrated with SmartCache.

routerd is specifically integrated with NFDB and Calcite HA to provide fast failover and high performance.

Ending notes

NFDB is planned to be deployed to Nostr.land in the coming weeks.

A lot more is to come. 👀️️️️️️

yakihonne.com iris.to jumble.social Me

@ 6fc114c7:8f4b1405

2025-05-17 00:54:52

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# Why Trust Crypt Recver? 🤝

🛠️ Expert Recovery Solutions\ At Crypt Recver, we specialize in addressing complex wallet-related issues. Our skilled engineers have the tools and expertise to handle:

• Partially lost or forgotten seed phrases
• Extracting funds from outdated or invalid wallet addresses
• Recovering data from damaged hardware wallets
• Restoring coins from old or unsupported wallet formats

You’re not just getting a service; you’re gaining a partner in your cryptocurrency journey.

🚀 Fast and Efficient Recovery\ We understand that time is crucial in crypto recovery. Our optimized systems enable you to regain access to your funds quickly, focusing on speed without compromising security. With a success rate of over 90%, you can rely on us to act swiftly on your behalf.

🔒 Privacy is Our Priority\ Your confidentiality is essential. Every recovery session is conducted with the utmost care, ensuring all processes are encrypted and confidential. You can rest assured that your sensitive information remains private.

💻 Advanced Technology\ Our proprietary tools and brute-force optimization techniques maximize recovery efficiency. Regardless of how challenging your case may be, our technology is designed to give you the best chance at retrieving your crypto.

Our Recovery Services Include: 📈

• Bitcoin Recovery: Lost access to your Bitcoin wallet? We help recover lost wallets, private keys, and passphrases.
• Transaction Recovery: Mistakes happen — whether it’s an incorrect wallet address or a lost password, let us manage the recovery.
• Cold Wallet Restoration: If your cold wallet is failing, we can safely extract your assets and migrate them into a secure new wallet.
• Private Key Generation: Lost your private key? Our experts can help you regain control using advanced methods while ensuring your privacy.

⚠️ What We Don’t Do\ While we can handle many scenarios, some limitations exist. For instance, we cannot recover funds stored in custodial wallets or cases where there is a complete loss of four or more seed words without partial information available. We are transparent about what’s possible, so you know what to expect

# Don’t Let Lost Crypto Hold You Back!

Did you know that between 3 to 3.4 million BTC — nearly 20% of the total supply — are estimated to be permanently lost? Don’t become part of that statistic! Whether it’s due to a forgotten password, sending funds to the wrong address, or damaged drives, we can help you navigate these challenges

🛡️ Real-Time Dust Attack Protection\ Our services extend beyond recovery. We offer dust attack protection, keeping your activity anonymous and your funds secure, shielding your identity from unwanted tracking, ransomware, and phishing attempts.

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Act fast and secure your digital assets with cryptrecver.com.

yakihonne.com iris.to jumble.social Me

@ c066aac5:6a41a034

2025-04-05 16:58:58

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.

yakihonne.com iris.to jumble.social Me

@ 8cda1daa:e9e5bdd8

2025-04-24 10:20:13

Bitcoin cracked the code for money.  Now it's time to rebuild everything else.

What about identity, trust, and collaboration? What about the systems that define how we live, create, and connect?

Bitcoin gave us a blueprint to separate money from the state. But the state still owns most of your digital life. It's time for something more radical.

Welcome to the Atomic Economy - not just a technology stack, but a civil engineering project for the digital age. A complete re-architecture of society, from the individual outward.

The Problem: We Live in Digital Captivity

Let's be blunt: the modern internet is hostile to human freedom.

You don't own your identity. You don't control your data. You don't decide what you see.

Big Tech and state institutions dominate your digital life with one goal: control.

• Poisoned algorithms dictate your emotions and behavior.
• Censorship hides truth and silences dissent.
• Walled gardens lock you into systems you can't escape.
• Extractive platforms monetize your attention and creativity - without your consent.

This isn't innovation. It's digital colonization.

A Vision for Sovereign Society

The Atomic Economy proposes a new design for society - one where: - Individuals own their identity, data, and value. - Trust is contextual, not imposed. - Communities are voluntary, not manufactured by feeds. - Markets are free, not fenced. - Collaboration is peer-to-peer, not platform-mediated.

It's not a political revolution. It's a technological and social reset based on first principles: self-sovereignty, mutualism, and credible exit.

So, What Is the Atomic Economy?

The Atomic Economy is a decentralized digital society where people - not platforms - coordinate identity, trust, and value.

It's built on open protocols, real software, and the ethos of Bitcoin. It's not about abstraction - it's about architecture.

Core Principles: - Self-Sovereignty: Your keys. Your data. Your rules. - Mutual Consensus: Interactions are voluntary and trust-based. - Credible Exit: Leave any system, with your data and identity intact. - Programmable Trust: Trust is explicit, contextual, and revocable. - Circular Economies: Value flows directly between individuals - no middlemen.

The Tech Stack Behind the Vision

The Atomic Economy isn't just theory. It's a layered system with real tools:

1. Payments & Settlement

• Bitcoin & Lightning: The foundation - sound, censorship-resistant money.
• Paykit: Modular payments and settlement flows.
• Atomicity: A peer-to-peer mutual credit protocol for programmable trust and IOUs.

2. Discovery & Matching

• Pubky Core: Decentralized identity and discovery using PKARR and the DHT.
• Pubky Nexus: Indexing for a user-controlled internet.
• Semantic Social Graph: Discovery through social tagging - you are the algorithm.

3. Application Layer

• Bitkit: A self-custodial Bitcoin and Lightning wallet.
• Pubky App: Tag, publish, trade, and interact - on your terms.
• Blocktank: Liquidity services for Lightning and circular economies.
• Pubky Ring: Key-based access control and identity syncing.

These tools don't just integrate - they stack. You build trust, exchange value, and form communities with no centralized gatekeepers.

The Human Impact

This isn't about software. It's about freedom.

• Empowered Individuals: Control your own narrative, value, and destiny.
• Voluntary Communities: Build trust on shared values, not enforced norms.
• Economic Freedom: Trade without permission, borders, or middlemen.
• Creative Renaissance: Innovation and art flourish in open, censorship-resistant systems.

The Atomic Economy doesn't just fix the web. It frees the web.

Why Bitcoiners Should Care

If you believe in Bitcoin, you already believe in the Atomic Economy - you just haven't seen the full map yet.

• It extends Bitcoin's principles beyond money: into identity, trust, coordination.
• It defends freedom where Bitcoin leaves off: in content, community, and commerce.
• It offers a credible exit from every centralized system you still rely on.
• It's how we win - not just economically, but culturally and socially.

This isn't "web3." This isn't another layer of grift. It's the Bitcoin future - fully realized.

Join the Atomic Revolution

• If you're a builder: fork the code, remix the ideas, expand the protocols.
• If you're a user: adopt Bitkit, use Pubky, exit the digital plantation.
• If you're an advocate: share the vision. Help people imagine a free society again.

Bitcoin promised a revolution. The Atomic Economy delivers it.

Let's reclaim society, one key at a time.

Learn more and build with us at Synonym.to.

yakihonne.com iris.to jumble.social Me

@ c9badfea:610f861a

2025-05-16 23:58:34

1. Install Breezy Weather (it's free and open source)
2. Launch the app, tap Add A New Location and search for your city
3. Review the providers for each weather source
4. Optionally, add more locations by tapping the + icon
5. Enjoy the weather updates

ℹ️ To receive notifications for weather alerts, tap ⚙️, then Notifications and enable Notifications Of Severe Weather Alerts

yakihonne.com iris.to jumble.social Me

@ fe32298e:20516265

2024-12-16 20:59:13

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 ```

yakihonne.com iris.to jumble.social Me

@ 34f1ddab:2ca0cf7c

2025-05-16 22:47:03

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Act fast and secure your digital assets with cryptrecver.com.Losing access to your cryptocurrency can feel like losing a part of your future. Whether it’s due to a forgotten password, a damaged seed backup, or a simple mistake in a transfer, the stress can be overwhelming. Fortunately, cryptrecver.com is here to assist! With our expert-led recovery services, you can safely and swiftly reclaim your lost Bitcoin and other cryptocurrencies.

# Why Trust Crypt Recver? 🤝

🛠️ Expert Recovery Solutions\ At Crypt Recver, we specialize in addressing complex wallet-related issues. Our skilled engineers have the tools and expertise to handle:

• Partially lost or forgotten seed phrases
• Extracting funds from outdated or invalid wallet addresses
• Recovering data from damaged hardware wallets
• Restoring coins from old or unsupported wallet formats

You’re not just getting a service; you’re gaining a partner in your cryptocurrency journey.

🚀 Fast and Efficient Recovery\ We understand that time is crucial in crypto recovery. Our optimized systems enable you to regain access to your funds quickly, focusing on speed without compromising security. With a success rate of over 90%, you can rely on us to act swiftly on your behalf.

🔒 Privacy is Our Priority\ Your confidentiality is essential. Every recovery session is conducted with the utmost care, ensuring all processes are encrypted and confidential. You can rest assured that your sensitive information remains private.

💻 Advanced Technology\ Our proprietary tools and brute-force optimization techniques maximize recovery efficiency. Regardless of how challenging your case may be, our technology is designed to give you the best chance at retrieving your crypto.

Our Recovery Services Include: 📈

• Bitcoin Recovery: Lost access to your Bitcoin wallet? We help recover lost wallets, private keys, and passphrases.
• Transaction Recovery: Mistakes happen — whether it’s an incorrect wallet address or a lost password, let us manage the recovery.
• Cold Wallet Restoration: If your cold wallet is failing, we can safely extract your assets and migrate them into a secure new wallet.
• Private Key Generation: Lost your private key? Our experts can help you regain control using advanced methods while ensuring your privacy.

⚠️ What We Don’t Do\ While we can handle many scenarios, some limitations exist. For instance, we cannot recover funds stored in custodial wallets or cases where there is a complete loss of four or more seed words without partial information available. We are transparent about what’s possible, so you know what to expect

# Don’t Let Lost Crypto Hold You Back!

Did you know that between 3 to 3.4 million BTC — nearly 20% of the total supply — are estimated to be permanently lost? Don’t become part of that statistic! Whether it’s due to a forgotten password, sending funds to the wrong address, or damaged drives, we can help you navigate these challenges

🛡️ Real-Time Dust Attack Protection\ Our services extend beyond recovery. We offer dust attack protection, keeping your activity anonymous and your funds secure, shielding your identity from unwanted tracking, ransomware, and phishing attempts.

🎉 Start Your Recovery Journey Today!\ Ready to reclaim your lost crypto? Don’t wait until it’s too late!\ 👉 cryptrecver.com

📞 Need Immediate Assistance? Connect with Us!\ For real-time support or questions, reach out to our dedicated team on:\ ✉️ Telegram: t.me/crypptrcver\ 💬 WhatsApp: +1(941)317–1821

Crypt Recver is your trusted partner in cryptocurrency recovery. Let us turn your challenges into victories. Don’t hesitate — your crypto future starts now! 🚀✨

Act fast and secure your digital assets with cryptrecver.com.

yakihonne.com iris.to jumble.social Me

@ 21335073:a244b1ad

2025-03-18 20:47:50

Warning: This piece contains a conversation about difficult topics. Please proceed with caution.

TL;DR please educate your children about online safety.

Julian Assange wrote in his 2012 book Cypherpunks, “This book is not a manifesto. There isn’t time for that. This book is a warning.” I read it a few times over the past summer. Those opening lines definitely stood out to me. I wish we had listened back then. He saw something about the internet that few had the ability to see. There are some individuals who are so close to a topic that when they speak, it’s difficult for others who aren’t steeped in it to visualize what they’re talking about. I didn’t read the book until more recently. If I had read it when it came out, it probably would have sounded like an unknown foreign language to me. Today it makes more sense.

This isn’t a manifesto. This isn’t a book. There is no time for that. It’s a warning and a possible solution from a desperate and determined survivor advocate who has been pulling and unraveling a thread for a few years. At times, I feel too close to this topic to make any sense trying to convey my pathway to my conclusions or thoughts to the general public. My hope is that if nothing else, I can convey my sense of urgency while writing this. This piece is a watchman’s warning.

When a child steps online, they are walking into a new world. A new reality. When you hand a child the internet, you are handing them possibilities—good, bad, and ugly. This is a conversation about lowering the potential of negative outcomes of stepping into that new world and how I came to these conclusions. I constantly compare the internet to the road. You wouldn’t let a young child run out into the road with no guidance or safety precautions. When you hand a child the internet without any type of guidance or safety measures, you are allowing them to play in rush hour, oncoming traffic. “Look left, look right for cars before crossing.” We almost all have been taught that as children. What are we taught as humans about safety before stepping into a completely different reality like the internet? Very little.

I could never really figure out why many folks in tech, privacy rights activists, and hackers seemed so cold to me while talking about online child sexual exploitation. I always figured that as a survivor advocate for those affected by these crimes, that specific, skilled group of individuals would be very welcoming and easy to talk to about such serious topics. I actually had one hacker laugh in my face when I brought it up while I was looking for answers. I thought maybe this individual thought I was accusing them of something I wasn’t, so I felt bad for asking. I was constantly extremely disappointed and would ask myself, “Why don’t they care? What could I say to make them care more? What could I say to make them understand the crisis and the level of suffering that happens as a result of the problem?”

I have been serving minor survivors of online child sexual exploitation for years. My first case serving a survivor of this specific crime was in 2018—a 13-year-old girl sexually exploited by a serial predator on Snapchat. That was my first glimpse into this side of the internet. I won a national award for serving the minor survivors of Twitter in 2023, but I had been working on that specific project for a few years. I was nominated by a lawyer representing two survivors in a legal battle against the platform. I’ve never really spoken about this before, but at the time it was a choice for me between fighting Snapchat or Twitter. I chose Twitter—or rather, Twitter chose me. I heard about the story of John Doe #1 and John Doe #2, and I was so unbelievably broken over it that I went to war for multiple years. I was and still am royally pissed about that case. As far as I was concerned, the John Doe #1 case proved that whatever was going on with corporate tech social media was so out of control that I didn’t have time to wait, so I got to work. It was reading the messages that John Doe #1 sent to Twitter begging them to remove his sexual exploitation that broke me. He was a child begging adults to do something. A passion for justice and protecting kids makes you do wild things. I was desperate to find answers about what happened and searched for solutions. In the end, the platform Twitter was purchased. During the acquisition, I just asked Mr. Musk nicely to prioritize the issue of detection and removal of child sexual exploitation without violating digital privacy rights or eroding end-to-end encryption. Elon thanked me multiple times during the acquisition, made some changes, and I was thanked by others on the survivors’ side as well.

I still feel that even with the progress made, I really just scratched the surface with Twitter, now X. I left that passion project when I did for a few reasons. I wanted to give new leadership time to tackle the issue. Elon Musk made big promises that I knew would take a while to fulfill, but mostly I had been watching global legislation transpire around the issue, and frankly, the governments are willing to go much further with X and the rest of corporate tech than I ever would. My work begging Twitter to make changes with easier reporting of content, detection, and removal of child sexual exploitation material—without violating privacy rights or eroding end-to-end encryption—and advocating for the minor survivors of the platform went as far as my principles would have allowed. I’m grateful for that experience. I was still left with a nagging question: “How did things get so bad with Twitter where the John Doe #1 and John Doe #2 case was able to happen in the first place?” I decided to keep looking for answers. I decided to keep pulling the thread.

I never worked for Twitter. This is often confusing for folks. I will say that despite being disappointed in the platform’s leadership at times, I loved Twitter. I saw and still see its value. I definitely love the survivors of the platform, but I also loved the platform. I was a champion of the platform’s ability to give folks from virtually around the globe an opportunity to speak and be heard.

I want to be clear that John Doe #1 really is my why. He is the inspiration. I am writing this because of him. He represents so many globally, and I’m still inspired by his bravery. One child’s voice begging adults to do something—I’m an adult, I heard him. I’d go to war a thousand more lifetimes for that young man, and I don’t even know his name. Fighting has been personally dark at times; I’m not even going to try to sugarcoat it, but it has been worth it.

The data surrounding the very real crime of online child sexual exploitation is available to the public online at any time for anyone to see. I’d encourage you to go look at the data for yourself. I believe in encouraging folks to check multiple sources so that you understand the full picture. If you are uncomfortable just searching around the internet for information about this topic, use the terms “CSAM,” “CSEM,” “SG-CSEM,” or “AI Generated CSAM.” The numbers don’t lie—it’s a nightmare that’s out of control. It’s a big business. The demand is high, and unfortunately, business is booming. Organizations collect the data, tech companies often post their data, governments report frequently, and the corporate press has covered a decent portion of the conversation, so I’m sure you can find a source that you trust.

Technology is changing rapidly, which is great for innovation as a whole but horrible for the crime of online child sexual exploitation. Those wishing to exploit the vulnerable seem to be adapting to each technological change with ease. The governments are so far behind with tackling these issues that as I’m typing this, it’s borderline irrelevant to even include them while speaking about the crime or potential solutions. Technology is changing too rapidly, and their old, broken systems can’t even dare to keep up. Think of it like the governments’ “War on Drugs.” Drugs won. In this case as well, the governments are not winning. The governments are talking about maybe having a meeting on potentially maybe having legislation around the crimes. The time to have that meeting would have been many years ago. I’m not advocating for governments to legislate our way out of this. I’m on the side of educating and innovating our way out of this.

I have been clear while advocating for the minor survivors of corporate tech platforms that I would not advocate for any solution to the crime that would violate digital privacy rights or erode end-to-end encryption. That has been a personal moral position that I was unwilling to budge on. This is an extremely unpopular and borderline nonexistent position in the anti-human trafficking movement and online child protection space. I’m often fearful that I’m wrong about this. I have always thought that a better pathway forward would have been to incentivize innovation for detection and removal of content. I had no previous exposure to privacy rights activists or Cypherpunks—actually, I came to that conclusion by listening to the voices of MENA region political dissidents and human rights activists. After developing relationships with human rights activists from around the globe, I realized how important privacy rights and encryption are for those who need it most globally. I was simply unwilling to give more power, control, and opportunities for mass surveillance to big abusers like governments wishing to enslave entire nations and untrustworthy corporate tech companies to potentially end some portion of abuses online. On top of all of it, it has been clear to me for years that all potential solutions outside of violating digital privacy rights to detect and remove child sexual exploitation online have not yet been explored aggressively. I’ve been disappointed that there hasn’t been more of a conversation around preventing the crime from happening in the first place.

What has been tried is mass surveillance. In China, they are currently under mass surveillance both online and offline, and their behaviors are attached to a social credit score. Unfortunately, even on state-run and controlled social media platforms, they still have child sexual exploitation and abuse imagery pop up along with other crimes and human rights violations. They also have a thriving black market online due to the oppression from the state. In other words, even an entire loss of freedom and privacy cannot end the sexual exploitation of children online. It’s been tried. There is no reason to repeat this method.

It took me an embarrassingly long time to figure out why I always felt a slight coldness from those in tech and privacy-minded individuals about the topic of child sexual exploitation online. I didn’t have any clue about the “Four Horsemen of the Infocalypse.” This is a term coined by Timothy C. May in 1988. I would have been a child myself when he first said it. I actually laughed at myself when I heard the phrase for the first time. I finally got it. The Cypherpunks weren’t wrong about that topic. They were so spot on that it is borderline uncomfortable. I was mad at first that they knew that early during the birth of the internet that this issue would arise and didn’t address it. Then I got over it because I realized that it wasn’t their job. Their job was—is—to write code. Their job wasn’t to be involved and loving parents or survivor advocates. Their job wasn’t to educate children on internet safety or raise awareness; their job was to write code.

They knew that child sexual abuse material would be shared on the internet. They said what would happen—not in a gleeful way, but a prediction. Then it happened.

I equate it now to a concrete company laying down a road. As you’re pouring the concrete, you can say to yourself, “A terrorist might travel down this road to go kill many, and on the flip side, a beautiful child can be born in an ambulance on this road.” Who or what travels down the road is not their responsibility—they are just supposed to lay the concrete. I’d never go to a concrete pourer and ask them to solve terrorism that travels down roads. Under the current system, law enforcement should stop terrorists before they even make it to the road. The solution to this specific problem is not to treat everyone on the road like a terrorist or to not build the road.

So I understand the perceived coldness from those in tech. Not only was it not their job, but bringing up the topic was seen as the equivalent of asking a free person if they wanted to discuss one of the four topics—child abusers, terrorists, drug dealers, intellectual property pirates, etc.—that would usher in digital authoritarianism for all who are online globally.

Privacy rights advocates and groups have put up a good fight. They stood by their principles. Unfortunately, when it comes to corporate tech, I believe that the issue of privacy is almost a complete lost cause at this point. It’s still worth pushing back, but ultimately, it is a losing battle—a ticking time bomb.

I do think that corporate tech providers could have slowed down the inevitable loss of privacy at the hands of the state by prioritizing the detection and removal of CSAM when they all started online. I believe it would have bought some time, fewer would have been traumatized by that specific crime, and I do believe that it could have slowed down the demand for content. If I think too much about that, I’ll go insane, so I try to push the “if maybes” aside, but never knowing if it could have been handled differently will forever haunt me. At night when it’s quiet, I wonder what I would have done differently if given the opportunity. I’ll probably never know how much corporate tech knew and ignored in the hopes that it would go away while the problem continued to get worse. They had different priorities. The most voiceless and vulnerable exploited on corporate tech never had much of a voice, so corporate tech providers didn’t receive very much pushback.

Now I’m about to say something really wild, and you can call me whatever you want to call me, but I’m going to say what I believe to be true. I believe that the governments are either so incompetent that they allowed the proliferation of CSAM online, or they knowingly allowed the problem to fester long enough to have an excuse to violate privacy rights and erode end-to-end encryption. The US government could have seized the corporate tech providers over CSAM, but I believe that they were so useful as a propaganda arm for the regimes that they allowed them to continue virtually unscathed.

That season is done now, and the governments are making the issue a priority. It will come at a high cost. Privacy on corporate tech providers is virtually done as I’m typing this. It feels like a death rattle. I’m not particularly sure that we had much digital privacy to begin with, but the illusion of a veil of privacy feels gone.

To make matters slightly more complex, it would be hard to convince me that once AI really gets going, digital privacy will exist at all.

I believe that there should be a conversation shift to preserving freedoms and human rights in a post-privacy society.

I don’t want to get locked up because AI predicted a nasty post online from me about the government. I’m not a doomer about AI—I’m just going to roll with it personally. I’m looking forward to the positive changes that will be brought forth by AI. I see it as inevitable. A bit of privacy was helpful while it lasted. Please keep fighting to preserve what is left of privacy either way because I could be wrong about all of this.

On the topic of AI, the addition of AI to the horrific crime of child sexual abuse material and child sexual exploitation in multiple ways so far has been devastating. It’s currently out of control. The genie is out of the bottle. I am hopeful that innovation will get us humans out of this, but I’m not sure how or how long it will take. We must be extremely cautious around AI legislation. It should not be illegal to innovate even if some bad comes with the good. I don’t trust that the governments are equipped to decide the best pathway forward for AI. Source: the entire history of the government.

I have been personally negatively impacted by AI-generated content. Every few days, I get another alert that I’m featured again in what’s called “deep fake pornography” without my consent. I’m not happy about it, but what pains me the most is the thought that for a period of time down the road, many globally will experience what myself and others are experiencing now by being digitally sexually abused in this way. If you have ever had your picture taken and posted online, you are also at risk of being exploited in this way. Your child’s image can be used as well, unfortunately, and this is just the beginning of this particular nightmare. It will move to more realistic interpretations of sexual behaviors as technology improves. I have no brave words of wisdom about how to deal with that emotionally. I do have hope that innovation will save the day around this specific issue. I’m nervous that everyone online will have to ID verify due to this issue. I see that as one possible outcome that could help to prevent one problem but inadvertently cause more problems, especially for those living under authoritarian regimes or anyone who needs to remain anonymous online. A zero-knowledge proof (ZKP) would probably be the best solution to these issues. There are some survivors of violence and/or sexual trauma who need to remain anonymous online for various reasons. There are survivor stories available online of those who have been abused in this way. I’d encourage you seek out and listen to their stories.

There have been periods of time recently where I hesitate to say anything at all because more than likely AI will cover most of my concerns about education, awareness, prevention, detection, and removal of child sexual exploitation online, etc.

Unfortunately, some of the most pressing issues we’ve seen online over the last few years come in the form of “sextortion.” Self-generated child sexual exploitation (SG-CSEM) numbers are continuing to be terrifying. I’d strongly encourage that you look into sextortion data. AI + sextortion is also a huge concern. The perpetrators are using the non-sexually explicit images of children and putting their likeness on AI-generated child sexual exploitation content and extorting money, more imagery, or both from minors online. It’s like a million nightmares wrapped into one. The wild part is that these issues will only get more pervasive because technology is harnessed to perpetuate horror at a scale unimaginable to a human mind.

Even if you banned phones and the internet or tried to prevent children from accessing the internet, it wouldn’t solve it. Child sexual exploitation will still be with us until as a society we start to prevent the crime before it happens. That is the only human way out right now.

There is no reset button on the internet, but if I could go back, I’d tell survivor advocates to heed the warnings of the early internet builders and to start education and awareness campaigns designed to prevent as much online child sexual exploitation as possible. The internet and technology moved quickly, and I don’t believe that society ever really caught up. We live in a world where a child can be groomed by a predator in their own home while sitting on a couch next to their parents watching TV. We weren’t ready as a species to tackle the fast-paced algorithms and dangers online. It happened too quickly for parents to catch up. How can you parent for the ever-changing digital world unless you are constantly aware of the dangers?

I don’t think that the internet is inherently bad. I believe that it can be a powerful tool for freedom and resistance. I’ve spoken a lot about the bad online, but there is beauty as well. We often discuss how victims and survivors are abused online; we rarely discuss the fact that countless survivors around the globe have been able to share their experiences, strength, hope, as well as provide resources to the vulnerable. I do question if giving any government or tech company access to censorship, surveillance, etc., online in the name of serving survivors might not actually impact a portion of survivors negatively. There are a fair amount of survivors with powerful abusers protected by governments and the corporate press. If a survivor cannot speak to the press about their abuse, the only place they can go is online, directly or indirectly through an independent journalist who also risks being censored. This scenario isn’t hard to imagine—it already happened in China. During #MeToo, a survivor in China wanted to post their story. The government censored the post, so the survivor put their story on the blockchain. I’m excited that the survivor was creative and brave, but it’s terrifying to think that we live in a world where that situation is a necessity.

I believe that the future for many survivors sharing their stories globally will be on completely censorship-resistant and decentralized protocols. This thought in particular gives me hope. When we listen to the experiences of a diverse group of survivors, we can start to understand potential solutions to preventing the crimes from happening in the first place.

My heart is broken over the gut-wrenching stories of survivors sexually exploited online. Every time I hear the story of a survivor, I do think to myself quietly, “What could have prevented this from happening in the first place?” My heart is with survivors.

My head, on the other hand, is full of the understanding that the internet should remain free. The free flow of information should not be stopped. My mind is with the innocent citizens around the globe that deserve freedom both online and offline.

The problem is that governments don’t only want to censor illegal content that violates human rights—they create legislation that is so broad that it can impact speech and privacy of all. “Don’t you care about the kids?” Yes, I do. I do so much that I’m invested in finding solutions. I also care about all citizens around the globe that deserve an opportunity to live free from a mass surveillance society. If terrorism happens online, I should not be punished by losing my freedom. If drugs are sold online, I should not be punished. I’m not an abuser, I’m not a terrorist, and I don’t engage in illegal behaviors. I refuse to lose freedom because of others’ bad behaviors online.

I want to be clear that on a long enough timeline, the governments will decide that they can be better parents/caregivers than you can if something isn’t done to stop minors from being sexually exploited online. The price will be a complete loss of anonymity, privacy, free speech, and freedom of religion online. I find it rather insulting that governments think they’re better equipped to raise children than parents and caretakers.

So we can’t go backwards—all that we can do is go forward. Those who want to have freedom will find technology to facilitate their liberation. This will lead many over time to decentralized and open protocols. So as far as I’m concerned, this does solve a few of my worries—those who need, want, and deserve to speak freely online will have the opportunity in most countries—but what about online child sexual exploitation?

When I popped up around the decentralized space, I was met with the fear of censorship. I’m not here to censor you. I don’t write code. I couldn’t censor anyone or any piece of content even if I wanted to across the internet, no matter how depraved. I don’t have the skills to do that.

I’m here to start a conversation. Freedom comes at a cost. You must always fight for and protect your freedom. I can’t speak about protecting yourself from all of the Four Horsemen because I simply don’t know the topics well enough, but I can speak about this one topic.

If there was a shortcut to ending online child sexual exploitation, I would have found it by now. There isn’t one right now. I believe that education is the only pathway forward to preventing the crime of online child sexual exploitation for future generations.

I propose a yearly education course for every child of all school ages, taught as a standard part of the curriculum. Ideally, parents/caregivers would be involved in the education/learning process.

Course: - The creation of the internet and computers - The fight for cryptography - The tech supply chain from the ground up (example: human rights violations in the supply chain) - Corporate tech - Freedom tech - Data privacy - Digital privacy rights - AI (history-current) - Online safety (predators, scams, catfishing, extortion) - Bitcoin - Laws - How to deal with online hate and harassment - Information on who to contact if you are being abused online or offline - Algorithms - How to seek out the truth about news, etc., online

The parents/caregivers, homeschoolers, unschoolers, and those working to create decentralized parallel societies have been an inspiration while writing this, but my hope is that all children would learn this course, even in government ran schools. Ideally, parents would teach this to their own children.

The decentralized space doesn’t want child sexual exploitation to thrive. Here’s the deal: there has to be a strong prevention effort in order to protect the next generation. The internet isn’t going anywhere, predators aren’t going anywhere, and I’m not down to let anyone have the opportunity to prove that there is a need for more government. I don’t believe that the government should act as parents. The governments have had a chance to attempt to stop online child sexual exploitation, and they didn’t do it. Can we try a different pathway forward?

I’d like to put myself out of a job. I don’t want to ever hear another story like John Doe #1 ever again. This will require work. I’ve often called online child sexual exploitation the lynchpin for the internet. It’s time to arm generations of children with knowledge and tools. I can’t do this alone.

Individuals have fought so that I could have freedom online. I want to fight to protect it. I don’t want child predators to give the government any opportunity to take away freedom. Decentralized spaces are as close to a reset as we’ll get with the opportunity to do it right from the start. Start the youth off correctly by preventing potential hazards to the best of your ability.

The good news is anyone can work on this! I’d encourage you to take it and run with it. I added the additional education about the history of the internet to make the course more educational and fun. Instead of cleaning up generations of destroyed lives due to online sexual exploitation, perhaps this could inspire generations of those who will build our futures. Perhaps if the youth is armed with knowledge, they can create more tools to prevent the crime.

This one solution that I’m suggesting can be done on an individual level or on a larger scale. It should be adjusted depending on age, learning style, etc. It should be fun and playful.

This solution does not address abuse in the home or some of the root causes of offline child sexual exploitation. My hope is that it could lead to some survivors experiencing abuse in the home an opportunity to disclose with a trusted adult. The purpose for this solution is to prevent the crime of online child sexual exploitation before it occurs and to arm the youth with the tools to contact safe adults if and when it happens.

In closing, I went to hell a few times so that you didn’t have to. I spoke to the mothers of survivors of minors sexually exploited online—their tears could fill rivers. I’ve spoken with political dissidents who yearned to be free from authoritarian surveillance states. The only balance that I’ve found is freedom online for citizens around the globe and prevention from the dangers of that for the youth. Don’t slow down innovation and freedom. Educate, prepare, adapt, and look for solutions.

I’m not perfect and I’m sure that there are errors in this piece. I hope that you find them and it starts a conversation.

yakihonne.com iris.to jumble.social Me

@ 609f186c:0aa4e8af

2025-05-16 20:57:43

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.

yakihonne.com iris.to jumble.social Me

@ 9a859fbc:8a9270f3

2025-04-22 15:45:55

A story of art and inspiration

This image was generated by AI

That is...

I am artificial. I was created by two other humans (hi mum and dad 👋)

I am intelligent. I can perceive the world, experience it, learn to understand cause & effect, and make decisions.

To go perhaps deeper, cells, DNA and life itself are artifices of the fabric of reality.

I sat, in a pub in Bristol, a place where I rarely frequent. I sat with one housemate, who I rarely spent time with. I met his friends that day, only once, never we met again.

I got chatting with a lady there. I had some paper and pencils with me. My intention, for a couple of weeks, was to come up with a symbol to represent Deep Sea Frequencies, at that time still known as Psychedelic Jelly. We were a new collaboration.

She and I got chatting about art. About symbolic representation of concepts, feelings, ideas. We chatted about flow, about how there are different types of flow, different elemental conditions of flow. I doodled some shapes, and we noticed how fire, water and air all look similar due to their fluid natures. So we considered how to differentiate, distinguish them from one another.

I doodled some more, and we came up with swooshes, curls, crests and bubbles. These seemed to be distinguishing enough such that they were no longer reminiscent of fire or air. I doodled fire and air too, just in case, just to check.

Then we chatted about symmetry types, reflective, axes, rotational. About geometry, geometric containers. We both enjoy triangles and hexagons. (It's always hexagons!)

I doodled some more shapes and put them in hexagonal shapes. Then I tried bending them into triangular forms instead, and overlaid two triangles.

Each triangle looked like a triskelion. Perfect.

Overlaid, they looked just like the flow of water, coming up, spiralling down.

---

The logo was born in this moment, in this serendipitous meeting, in this unlikely chat with a total stranger. We met for the first time that day, and I'm not sure if we ever met again. This interaction was, is, precious, and it led to a particular creation that is now a core part of my life and is a highlight for many people around the UK and the world, as we put on events and released musicians' music.

This is inspiration. This is expression. This is flow, through the fluid nature of the cosmos.

This is what you miss out on when you talk into your AI LLM black hole prompt.

This is what you steal from when you demand your AI LLM to generate you something according to your whim.

Art and expression is the very foundation of human community. Join in! Try new things! Learn from each other! Bring us all closer together by interacting and creating through shared ideas, shared visions, shared wisdom!

---

After that, I drew it up cleanly, geometrically.

I photographed it like scanning it, carefully aligning the camera because I didn't have a scanner.

I redrew it more than twice.

I digitised it, colourised it, split it into two layers so I could apply colour & lighting effects to it.

I painstakingly traced the photograph into a vector format, to enlarge it and use it for various media.

I even more painstakingly (do we have a more extreme adverb??) divided all the vector shapes into new objects so that the layers became "real". And cleaned up the vector nodes, shaping them to my imagination.

The vector form is used all over our record label & events branding.

And then I imported the vector form into Blender, a 3D rendering application, free and open source.

I learnt Blender, day by day developing my understanding and my skills. Day by day my GPU crashing on raytracing and cutting the laptop's power out!

And finally, I learnt to make some simple renders that look like being underwater, like surreal glassy objects floating in the deep. I even learnt to animate it, although I haven't released that into the wild.

I imagined all of this stuff, and then I spent months over years developing my skills in my spare time in order to bring these imaginations to life.

You can do the same.

You have to sacrifice things.

Sacrifice your time.

Sacrifice your energy.

Sacrifice your distractions and enter yourself into the learning process and the creative process.

---

To you, amazing lady who helped me draw this symbol from the fabric of the Realm of Forms, thank you! I'm sorry that I don't recall your name, although actually I think I do remember but I would be embarrassed if I tagged the wrong person. Please reach out if you recognise this story! It was about 7, maybe 8 years ago, in the painted pub in St. Werburgh's.

yakihonne.com iris.to jumble.social Me

@ 1beecee5:d29d2162

2025-04-21 06:30:55

yakihonne.com iris.to jumble.social Me

@ 21335073:a244b1ad

2025-03-18 14:43:08

Warning: This piece contains a conversation about difficult topics. Please proceed with caution.

TL;DR please educate your children about online safety.

Julian Assange wrote in his 2012 book Cypherpunks, “This book is not a manifesto. There isn’t time for that. This book is a warning.” I read it a few times over the past summer. Those opening lines definitely stood out to me. I wish we had listened back then. He saw something about the internet that few had the ability to see. There are some individuals who are so close to a topic that when they speak, it’s difficult for others who aren’t steeped in it to visualize what they’re talking about. I didn’t read the book until more recently. If I had read it when it came out, it probably would have sounded like an unknown foreign language to me. Today it makes more sense.

This isn’t a manifesto. This isn’t a book. There is no time for that. It’s a warning and a possible solution from a desperate and determined survivor advocate who has been pulling and unraveling a thread for a few years. At times, I feel too close to this topic to make any sense trying to convey my pathway to my conclusions or thoughts to the general public. My hope is that if nothing else, I can convey my sense of urgency while writing this. This piece is a watchman’s warning.

When a child steps online, they are walking into a new world. A new reality. When you hand a child the internet, you are handing them possibilities—good, bad, and ugly. This is a conversation about lowering the potential of negative outcomes of stepping into that new world and how I came to these conclusions. I constantly compare the internet to the road. You wouldn’t let a young child run out into the road with no guidance or safety precautions. When you hand a child the internet without any type of guidance or safety measures, you are allowing them to play in rush hour, oncoming traffic. “Look left, look right for cars before crossing.” We almost all have been taught that as children. What are we taught as humans about safety before stepping into a completely different reality like the internet? Very little.

I could never really figure out why many folks in tech, privacy rights activists, and hackers seemed so cold to me while talking about online child sexual exploitation. I always figured that as a survivor advocate for those affected by these crimes, that specific, skilled group of individuals would be very welcoming and easy to talk to about such serious topics. I actually had one hacker laugh in my face when I brought it up while I was looking for answers. I thought maybe this individual thought I was accusing them of something I wasn’t, so I felt bad for asking. I was constantly extremely disappointed and would ask myself, “Why don’t they care? What could I say to make them care more? What could I say to make them understand the crisis and the level of suffering that happens as a result of the problem?”

I have been serving minor survivors of online child sexual exploitation for years. My first case serving a survivor of this specific crime was in 2018—a 13-year-old girl sexually exploited by a serial predator on Snapchat. That was my first glimpse into this side of the internet. I won a national award for serving the minor survivors of Twitter in 2023, but I had been working on that specific project for a few years. I was nominated by a lawyer representing two survivors in a legal battle against the platform. I’ve never really spoken about this before, but at the time it was a choice for me between fighting Snapchat or Twitter. I chose Twitter—or rather, Twitter chose me. I heard about the story of John Doe #1 and John Doe #2, and I was so unbelievably broken over it that I went to war for multiple years. I was and still am royally pissed about that case. As far as I was concerned, the John Doe #1 case proved that whatever was going on with corporate tech social media was so out of control that I didn’t have time to wait, so I got to work. It was reading the messages that John Doe #1 sent to Twitter begging them to remove his sexual exploitation that broke me. He was a child begging adults to do something. A passion for justice and protecting kids makes you do wild things. I was desperate to find answers about what happened and searched for solutions. In the end, the platform Twitter was purchased. During the acquisition, I just asked Mr. Musk nicely to prioritize the issue of detection and removal of child sexual exploitation without violating digital privacy rights or eroding end-to-end encryption. Elon thanked me multiple times during the acquisition, made some changes, and I was thanked by others on the survivors’ side as well.

I still feel that even with the progress made, I really just scratched the surface with Twitter, now X. I left that passion project when I did for a few reasons. I wanted to give new leadership time to tackle the issue. Elon Musk made big promises that I knew would take a while to fulfill, but mostly I had been watching global legislation transpire around the issue, and frankly, the governments are willing to go much further with X and the rest of corporate tech than I ever would. My work begging Twitter to make changes with easier reporting of content, detection, and removal of child sexual exploitation material—without violating privacy rights or eroding end-to-end encryption—and advocating for the minor survivors of the platform went as far as my principles would have allowed. I’m grateful for that experience. I was still left with a nagging question: “How did things get so bad with Twitter where the John Doe #1 and John Doe #2 case was able to happen in the first place?” I decided to keep looking for answers. I decided to keep pulling the thread.

I never worked for Twitter. This is often confusing for folks. I will say that despite being disappointed in the platform’s leadership at times, I loved Twitter. I saw and still see its value. I definitely love the survivors of the platform, but I also loved the platform. I was a champion of the platform’s ability to give folks from virtually around the globe an opportunity to speak and be heard.

I want to be clear that John Doe #1 really is my why. He is the inspiration. I am writing this because of him. He represents so many globally, and I’m still inspired by his bravery. One child’s voice begging adults to do something—I’m an adult, I heard him. I’d go to war a thousand more lifetimes for that young man, and I don’t even know his name. Fighting has been personally dark at times; I’m not even going to try to sugarcoat it, but it has been worth it.

The data surrounding the very real crime of online child sexual exploitation is available to the public online at any time for anyone to see. I’d encourage you to go look at the data for yourself. I believe in encouraging folks to check multiple sources so that you understand the full picture. If you are uncomfortable just searching around the internet for information about this topic, use the terms “CSAM,” “CSEM,” “SG-CSEM,” or “AI Generated CSAM.” The numbers don’t lie—it’s a nightmare that’s out of control. It’s a big business. The demand is high, and unfortunately, business is booming. Organizations collect the data, tech companies often post their data, governments report frequently, and the corporate press has covered a decent portion of the conversation, so I’m sure you can find a source that you trust.

Technology is changing rapidly, which is great for innovation as a whole but horrible for the crime of online child sexual exploitation. Those wishing to exploit the vulnerable seem to be adapting to each technological change with ease. The governments are so far behind with tackling these issues that as I’m typing this, it’s borderline irrelevant to even include them while speaking about the crime or potential solutions. Technology is changing too rapidly, and their old, broken systems can’t even dare to keep up. Think of it like the governments’ “War on Drugs.” Drugs won. In this case as well, the governments are not winning. The governments are talking about maybe having a meeting on potentially maybe having legislation around the crimes. The time to have that meeting would have been many years ago. I’m not advocating for governments to legislate our way out of this. I’m on the side of educating and innovating our way out of this.

I have been clear while advocating for the minor survivors of corporate tech platforms that I would not advocate for any solution to the crime that would violate digital privacy rights or erode end-to-end encryption. That has been a personal moral position that I was unwilling to budge on. This is an extremely unpopular and borderline nonexistent position in the anti-human trafficking movement and online child protection space. I’m often fearful that I’m wrong about this. I have always thought that a better pathway forward would have been to incentivize innovation for detection and removal of content. I had no previous exposure to privacy rights activists or Cypherpunks—actually, I came to that conclusion by listening to the voices of MENA region political dissidents and human rights activists. After developing relationships with human rights activists from around the globe, I realized how important privacy rights and encryption are for those who need it most globally. I was simply unwilling to give more power, control, and opportunities for mass surveillance to big abusers like governments wishing to enslave entire nations and untrustworthy corporate tech companies to potentially end some portion of abuses online. On top of all of it, it has been clear to me for years that all potential solutions outside of violating digital privacy rights to detect and remove child sexual exploitation online have not yet been explored aggressively. I’ve been disappointed that there hasn’t been more of a conversation around preventing the crime from happening in the first place.

What has been tried is mass surveillance. In China, they are currently under mass surveillance both online and offline, and their behaviors are attached to a social credit score. Unfortunately, even on state-run and controlled social media platforms, they still have child sexual exploitation and abuse imagery pop up along with other crimes and human rights violations. They also have a thriving black market online due to the oppression from the state. In other words, even an entire loss of freedom and privacy cannot end the sexual exploitation of children online. It’s been tried. There is no reason to repeat this method.

It took me an embarrassingly long time to figure out why I always felt a slight coldness from those in tech and privacy-minded individuals about the topic of child sexual exploitation online. I didn’t have any clue about the “Four Horsemen of the Infocalypse.” This is a term coined by Timothy C. May in 1988. I would have been a child myself when he first said it. I actually laughed at myself when I heard the phrase for the first time. I finally got it. The Cypherpunks weren’t wrong about that topic. They were so spot on that it is borderline uncomfortable. I was mad at first that they knew that early during the birth of the internet that this issue would arise and didn’t address it. Then I got over it because I realized that it wasn’t their job. Their job was—is—to write code. Their job wasn’t to be involved and loving parents or survivor advocates. Their job wasn’t to educate children on internet safety or raise awareness; their job was to write code.

They knew that child sexual abuse material would be shared on the internet. They said what would happen—not in a gleeful way, but a prediction. Then it happened.

I equate it now to a concrete company laying down a road. As you’re pouring the concrete, you can say to yourself, “A terrorist might travel down this road to go kill many, and on the flip side, a beautiful child can be born in an ambulance on this road.” Who or what travels down the road is not their responsibility—they are just supposed to lay the concrete. I’d never go to a concrete pourer and ask them to solve terrorism that travels down roads. Under the current system, law enforcement should stop terrorists before they even make it to the road. The solution to this specific problem is not to treat everyone on the road like a terrorist or to not build the road.

So I understand the perceived coldness from those in tech. Not only was it not their job, but bringing up the topic was seen as the equivalent of asking a free person if they wanted to discuss one of the four topics—child abusers, terrorists, drug dealers, intellectual property pirates, etc.—that would usher in digital authoritarianism for all who are online globally.

Privacy rights advocates and groups have put up a good fight. They stood by their principles. Unfortunately, when it comes to corporate tech, I believe that the issue of privacy is almost a complete lost cause at this point. It’s still worth pushing back, but ultimately, it is a losing battle—a ticking time bomb.

I do think that corporate tech providers could have slowed down the inevitable loss of privacy at the hands of the state by prioritizing the detection and removal of CSAM when they all started online. I believe it would have bought some time, fewer would have been traumatized by that specific crime, and I do believe that it could have slowed down the demand for content. If I think too much about that, I’ll go insane, so I try to push the “if maybes” aside, but never knowing if it could have been handled differently will forever haunt me. At night when it’s quiet, I wonder what I would have done differently if given the opportunity. I’ll probably never know how much corporate tech knew and ignored in the hopes that it would go away while the problem continued to get worse. They had different priorities. The most voiceless and vulnerable exploited on corporate tech never had much of a voice, so corporate tech providers didn’t receive very much pushback.

Now I’m about to say something really wild, and you can call me whatever you want to call me, but I’m going to say what I believe to be true. I believe that the governments are either so incompetent that they allowed the proliferation of CSAM online, or they knowingly allowed the problem to fester long enough to have an excuse to violate privacy rights and erode end-to-end encryption. The US government could have seized the corporate tech providers over CSAM, but I believe that they were so useful as a propaganda arm for the regimes that they allowed them to continue virtually unscathed.

That season is done now, and the governments are making the issue a priority. It will come at a high cost. Privacy on corporate tech providers is virtually done as I’m typing this. It feels like a death rattle. I’m not particularly sure that we had much digital privacy to begin with, but the illusion of a veil of privacy feels gone.

To make matters slightly more complex, it would be hard to convince me that once AI really gets going, digital privacy will exist at all.

I believe that there should be a conversation shift to preserving freedoms and human rights in a post-privacy society.

I don’t want to get locked up because AI predicted a nasty post online from me about the government. I’m not a doomer about AI—I’m just going to roll with it personally. I’m looking forward to the positive changes that will be brought forth by AI. I see it as inevitable. A bit of privacy was helpful while it lasted. Please keep fighting to preserve what is left of privacy either way because I could be wrong about all of this.

On the topic of AI, the addition of AI to the horrific crime of child sexual abuse material and child sexual exploitation in multiple ways so far has been devastating. It’s currently out of control. The genie is out of the bottle. I am hopeful that innovation will get us humans out of this, but I’m not sure how or how long it will take. We must be extremely cautious around AI legislation. It should not be illegal to innovate even if some bad comes with the good. I don’t trust that the governments are equipped to decide the best pathway forward for AI. Source: the entire history of the government.

I have been personally negatively impacted by AI-generated content. Every few days, I get another alert that I’m featured again in what’s called “deep fake pornography” without my consent. I’m not happy about it, but what pains me the most is the thought that for a period of time down the road, many globally will experience what myself and others are experiencing now by being digitally sexually abused in this way. If you have ever had your picture taken and posted online, you are also at risk of being exploited in this way. Your child’s image can be used as well, unfortunately, and this is just the beginning of this particular nightmare. It will move to more realistic interpretations of sexual behaviors as technology improves. I have no brave words of wisdom about how to deal with that emotionally. I do have hope that innovation will save the day around this specific issue. I’m nervous that everyone online will have to ID verify due to this issue. I see that as one possible outcome that could help to prevent one problem but inadvertently cause more problems, especially for those living under authoritarian regimes or anyone who needs to remain anonymous online. A zero-knowledge proof (ZKP) would probably be the best solution to these issues. There are some survivors of violence and/or sexual trauma who need to remain anonymous online for various reasons. There are survivor stories available online of those who have been abused in this way. I’d encourage you seek out and listen to their stories.

There have been periods of time recently where I hesitate to say anything at all because more than likely AI will cover most of my concerns about education, awareness, prevention, detection, and removal of child sexual exploitation online, etc.

Unfortunately, some of the most pressing issues we’ve seen online over the last few years come in the form of “sextortion.” Self-generated child sexual exploitation (SG-CSEM) numbers are continuing to be terrifying. I’d strongly encourage that you look into sextortion data. AI + sextortion is also a huge concern. The perpetrators are using the non-sexually explicit images of children and putting their likeness on AI-generated child sexual exploitation content and extorting money, more imagery, or both from minors online. It’s like a million nightmares wrapped into one. The wild part is that these issues will only get more pervasive because technology is harnessed to perpetuate horror at a scale unimaginable to a human mind.

Even if you banned phones and the internet or tried to prevent children from accessing the internet, it wouldn’t solve it. Child sexual exploitation will still be with us until as a society we start to prevent the crime before it happens. That is the only human way out right now.

There is no reset button on the internet, but if I could go back, I’d tell survivor advocates to heed the warnings of the early internet builders and to start education and awareness campaigns designed to prevent as much online child sexual exploitation as possible. The internet and technology moved quickly, and I don’t believe that society ever really caught up. We live in a world where a child can be groomed by a predator in their own home while sitting on a couch next to their parents watching TV. We weren’t ready as a species to tackle the fast-paced algorithms and dangers online. It happened too quickly for parents to catch up. How can you parent for the ever-changing digital world unless you are constantly aware of the dangers?

I don’t think that the internet is inherently bad. I believe that it can be a powerful tool for freedom and resistance. I’ve spoken a lot about the bad online, but there is beauty as well. We often discuss how victims and survivors are abused online; we rarely discuss the fact that countless survivors around the globe have been able to share their experiences, strength, hope, as well as provide resources to the vulnerable. I do question if giving any government or tech company access to censorship, surveillance, etc., online in the name of serving survivors might not actually impact a portion of survivors negatively. There are a fair amount of survivors with powerful abusers protected by governments and the corporate press. If a survivor cannot speak to the press about their abuse, the only place they can go is online, directly or indirectly through an independent journalist who also risks being censored. This scenario isn’t hard to imagine—it already happened in China. During #MeToo, a survivor in China wanted to post their story. The government censored the post, so the survivor put their story on the blockchain. I’m excited that the survivor was creative and brave, but it’s terrifying to think that we live in a world where that situation is a necessity.

I believe that the future for many survivors sharing their stories globally will be on completely censorship-resistant and decentralized protocols. This thought in particular gives me hope. When we listen to the experiences of a diverse group of survivors, we can start to understand potential solutions to preventing the crimes from happening in the first place.

My heart is broken over the gut-wrenching stories of survivors sexually exploited online. Every time I hear the story of a survivor, I do think to myself quietly, “What could have prevented this from happening in the first place?” My heart is with survivors.

My head, on the other hand, is full of the understanding that the internet should remain free. The free flow of information should not be stopped. My mind is with the innocent citizens around the globe that deserve freedom both online and offline.

The problem is that governments don’t only want to censor illegal content that violates human rights—they create legislation that is so broad that it can impact speech and privacy of all. “Don’t you care about the kids?” Yes, I do. I do so much that I’m invested in finding solutions. I also care about all citizens around the globe that deserve an opportunity to live free from a mass surveillance society. If terrorism happens online, I should not be punished by losing my freedom. If drugs are sold online, I should not be punished. I’m not an abuser, I’m not a terrorist, and I don’t engage in illegal behaviors. I refuse to lose freedom because of others’ bad behaviors online.

I want to be clear that on a long enough timeline, the governments will decide that they can be better parents/caregivers than you can if something isn’t done to stop minors from being sexually exploited online. The price will be a complete loss of anonymity, privacy, free speech, and freedom of religion online. I find it rather insulting that governments think they’re better equipped to raise children than parents and caretakers.

So we can’t go backwards—all that we can do is go forward. Those who want to have freedom will find technology to facilitate their liberation. This will lead many over time to decentralized and open protocols. So as far as I’m concerned, this does solve a few of my worries—those who need, want, and deserve to speak freely online will have the opportunity in most countries—but what about online child sexual exploitation?

When I popped up around the decentralized space, I was met with the fear of censorship. I’m not here to censor you. I don’t write code. I couldn’t censor anyone or any piece of content even if I wanted to across the internet, no matter how depraved. I don’t have the skills to do that.

I’m here to start a conversation. Freedom comes at a cost. You must always fight for and protect your freedom. I can’t speak about protecting yourself from all of the Four Horsemen because I simply don’t know the topics well enough, but I can speak about this one topic.

If there was a shortcut to ending online child sexual exploitation, I would have found it by now. There isn’t one right now. I believe that education is the only pathway forward to preventing the crime of online child sexual exploitation for future generations.

I propose a yearly education course for every child of all school ages, taught as a standard part of the curriculum. Ideally, parents/caregivers would be involved in the education/learning process.

Course: - The creation of the internet and computers - The fight for cryptography - The tech supply chain from the ground up (example: human rights violations in the supply chain) - Corporate tech - Freedom tech - Data privacy - Digital privacy rights - AI (history-current) - Online safety (predators, scams, catfishing, extortion) - Bitcoin - Laws - How to deal with online hate and harassment - Information on who to contact if you are being abused online or offline - Algorithms - How to seek out the truth about news, etc., online

The parents/caregivers, homeschoolers, unschoolers, and those working to create decentralized parallel societies have been an inspiration while writing this, but my hope is that all children would learn this course, even in government ran schools. Ideally, parents would teach this to their own children.

The decentralized space doesn’t want child sexual exploitation to thrive. Here’s the deal: there has to be a strong prevention effort in order to protect the next generation. The internet isn’t going anywhere, predators aren’t going anywhere, and I’m not down to let anyone have the opportunity to prove that there is a need for more government. I don’t believe that the government should act as parents. The governments have had a chance to attempt to stop online child sexual exploitation, and they didn’t do it. Can we try a different pathway forward?

I’d like to put myself out of a job. I don’t want to ever hear another story like John Doe #1 ever again. This will require work. I’ve often called online child sexual exploitation the lynchpin for the internet. It’s time to arm generations of children with knowledge and tools. I can’t do this alone.

Individuals have fought so that I could have freedom online. I want to fight to protect it. I don’t want child predators to give the government any opportunity to take away freedom. Decentralized spaces are as close to a reset as we’ll get with the opportunity to do it right from the start. Start the youth off correctly by preventing potential hazards to the best of your ability.

The good news is anyone can work on this! I’d encourage you to take it and run with it. I added the additional education about the history of the internet to make the course more educational and fun. Instead of cleaning up generations of destroyed lives due to online sexual exploitation, perhaps this could inspire generations of those who will build our futures. Perhaps if the youth is armed with knowledge, they can create more tools to prevent the crime.

This one solution that I’m suggesting can be done on an individual level or on a larger scale. It should be adjusted depending on age, learning style, etc. It should be fun and playful.

This solution does not address abuse in the home or some of the root causes of offline child sexual exploitation. My hope is that it could lead to some survivors experiencing abuse in the home an opportunity to disclose with a trusted adult. The purpose for this solution is to prevent the crime of online child sexual exploitation before it occurs and to arm the youth with the tools to contact safe adults if and when it happens.

In closing, I went to hell a few times so that you didn’t have to. I spoke to the mothers of survivors of minors sexually exploited online—their tears could fill rivers. I’ve spoken with political dissidents who yearned to be free from authoritarian surveillance states. The only balance that I’ve found is freedom online for citizens around the globe and prevention from the dangers of that for the youth. Don’t slow down innovation and freedom. Educate, prepare, adapt, and look for solutions.

I’m not perfect and I’m sure that there are errors in this piece. I hope that you find them and it starts a conversation.

yakihonne.com iris.to jumble.social Me

@ 6f6b50bb:a848e5a1

2024-12-15 15:09:52

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

yakihonne.com iris.to jumble.social Me

@ 21335073:a244b1ad

2025-03-15 23:00:40

I want to see Nostr succeed. If you can think of a way I can help make that happen, I’m open to it. I’d like your suggestions.

My schedule’s shifting soon, and I could volunteer a few hours a week to a Nostr project. I won’t have more total time, but how I use it will change.

Why help? I care about freedom. Nostr’s one of the most powerful freedom tools I’ve seen in my lifetime. If I believe that, I should act on it.

I don’t care about money or sats. I’m not rich, I don’t have extra cash. That doesn’t drive me—freedom does. I’m volunteering, not asking for pay.

I’m not here for clout. I’ve had enough spotlight in my life; it doesn’t move me. If I wanted clout, I’d be on Twitter dropping basic takes. Clout’s easy. Freedom’s hard. I’d rather help anonymously. No speaking at events—small meetups are cool for the vibe, but big conferences? Not my thing. I’ll never hit a huge Bitcoin conference. It’s just not my scene.

That said, I could be convinced to step up if it’d really boost Nostr—as long as it’s legal and gets results.

In this space, I’d watch for social engineering. I watch out for it. I’m not here to make friends, just to help. No shade—you all seem great—but I’ve got a full life and awesome friends irl. I don’t need your crew or to be online cool. Connect anonymously if you want; I’d encourage it.

I’m sick of watching other social media alternatives grow while Nostr kinda stalls. I could trash-talk, but I’d rather do something useful.

Skills? I’m good at spotting social media problems and finding possible solutions. I won’t overhype myself—that’s weird—but if you’re responding, you probably see something in me. Perhaps you see something that I don’t see in myself.

If you need help now or later with Nostr projects, reach out. Nostr only—nothing else. Anonymous contact’s fine. Even just a suggestion on how I can pitch in, no project attached, works too. 💜

Creeps or harassment will get blocked or I’ll nuke my simplex code if it becomes a problem.

https://simplex.chat/contact#/?v=2-4&smp=smp%3A%2F%2FSkIkI6EPd2D63F4xFKfHk7I1UGZVNn6k1QWZ5rcyr6w%3D%40smp9.simplex.im%2FbI99B3KuYduH8jDr9ZwyhcSxm2UuR7j0%23%2F%3Fv%3D1-2%26dh%3DMCowBQYDK2VuAyEAS9C-zPzqW41PKySfPCEizcXb1QCus6AyDkTTjfyMIRM%253D%26srv%3Djssqzccmrcws6bhmn77vgmhfjmhwlyr3u7puw4erkyoosywgl67slqqd.onion

yakihonne.com iris.to jumble.social Me

@ cae03c48:2a7d6671

2025-05-16 20:56:35

Bitcoin Magazine

Why Nostr Today Feels Like Bitcoin In 2012: An Interview With Vitor Pamplona

I recently sat down with Vitor Pomplona, creator of Nostr client Amethyst, to discuss how Nostr in 2025 is a lot like what Bitcoin was like in 2012 — a bit rough around the edges, but exciting to use.

Nostr, a decentralized protocol for social media and other forms of communication, is only four years old, and developers are still figuring out how to create the best possible user experience within the clients they’ve created. These clients include apps like Primal (which is comparable to X) to Olas (which is like Instagram) to Yakihonne (which is similar to Substack).

What’s unique about Nostr clients, though, is that users can “zap” (send small amounts of) bitcoin to one another to show appreciation for the content their fellow users have created.

And Pomplona is optimistic that more and more Nostr clients are starting to gain traction, just as Bitcoin began to do so 13 years ago.

“We are starting to see communities being formed and more money being transferred,” Pamplona told Bitcoin Magazine in the interview.

A Bitcoin-Fueled Creator Economy

Pomplona acknowledged that part of the purpose of social media is to enable means for users to monetize what they create in ways that they can’t do in their physical environment.

“[Some social media] users want to earn a living,” said Pomplona. “They have hope that they can achieve more with social media than they can alone or in their cities.”

Pamplona believes that Nostr clients can help transform that hope into a reality, and it’s his mission to help users do this.

“That is our end goal: If we can get creators to the point where they can earn a living, we will win as a platform.”

This potential for users to earn a living with Nostr becomes greater everyday, especially as the Nostr user base expands and it continues to grow as the largest bitcoin circular economy in the world.

Amethyst

In creating Amethyst, Pamplona had a vision for a Nostr client that served as an all-in-one app, which was inspired by a plan similar to the one that Elon Musk had for X (formerly Twitter).

“Amethyst came in at the same time that Elon was talking about buying Twitter,” explained Pomplona. “He was like let’s make a mega app out of Twitter, and I went for the same thing.”

While Pomplona understands that Amethyst didn’t quite achieve this, he’s excited that it’s come to play a different role. It serves as a lab for people who are developing new Nostr clients.

“Amethyst is helping everybody kickstart their own applications,” he said. “Olas came from Amethyst.”

Nostr As A Bitcoin Onboarding Tool

Pomplona sees Nostr as a great way to onboard people to Bitcoin, though he doesn’t think this should be the primary goal of Nostr clients.

“The main goal for [Nostr] apps is to get people to do their thing — to get people to be creative, or to talk to their friends or to have a chat with their family,” explained Pomplona.

“No app should ever talk about either Nostr or Bitcoin. They should just be what they are,” he added.

Pamplona believes that, after some time, the app’s users will inevitably start to learn about Nostr’s self-sovereignty Nostr provides when it comes to users being able to control their own data and about Bitcoin.

“[They’ll realize that] it just so happens that the platform helps them to manage their own data, and use best payment protocol we have today.”

And he highlighted that most new users are coming to Nostr because of the freedom and censorship resistance it offers.

“In the past two years, most of the new Nostr users came in because of freedom, because of some censorship in their country,” said Pomplona. “And they learned about Bitcoin after that.”

This post Why Nostr Today Feels Like Bitcoin In 2012: An Interview With Vitor Pamplona first appeared on Bitcoin Magazine and is written by Frank Corva.

yakihonne.com iris.to jumble.social Me

@ 21335073:a244b1ad

2025-03-12 00:40:25

Before I saw those X right-wing political “influencers” parading their Epstein binders in that PR stunt, I’d already posted this on Nostr, an open protocol. 

“Today, the world’s attention will likely fixate on Epstein, governmental failures in addressing horrific abuse cases, and the influential figures who perpetrate such acts—yet few will center the victims and survivors in the conversation. The survivors of Epstein went to law enforcement and very little happened. The survivors tried to speak to the corporate press and the corporate press knowingly covered for him. In situations like these social media can serve as one of the only ways for a survivor’s voice to be heard. 

It’s becoming increasingly evident that the line between centralized corporate social media and the state is razor-thin, if it exists at all. Time and again, the state shields powerful abusers when it’s politically expedient to do so. In this climate, a survivor attempting to expose someone like Epstein on a corporate tech platform faces an uphill battle—there’s no assurance their voice would even break through. Their story wouldn’t truly belong to them; it’d be at the mercy of the platform, subject to deletion at a whim. Nostr, though, offers a lifeline—a censorship-resistant space where survivors can share their truths, no matter how untouchable the abuser might seem. A survivor could remain anonymous here if they took enough steps. 

Nostr holds real promise for amplifying survivor voices. And if you’re here daily, tossing out memes, take heart: you’re helping build a foundation for those who desperately need to be heard.“

That post is untouchable—no CEO, company, employee, or government can delete it. Even if I wanted to, I couldn’t take it down myself. The post will outlive me on the protocol. 

The cozy alliance between the state and corporate social media hit me hard during that right-wing X “influencer” PR stunt. Elon owns X. Elon’s a special government employee. X pays those influencers to post. We don’t know who else pays them to post. Those influencers are spurred on by both the government and X to manage the Epstein case narrative. It wasn’t survivors standing there, grinning for photos—it was paid influencers, gatekeepers orchestrating yet another chance to re-exploit the already exploited.

The bond between the state and corporate social media is tight. If the other Epsteins out there are ever to be unmasked, I wouldn’t bet on a survivor’s story staying safe with a corporate tech platform, the government, any social media influencer, or mainstream journalist. Right now, only a protocol can hand survivors the power to truly own their narrative.

I don’t have anything against Elon—I’ve actually been a big supporter. I’m just stating it as I see it. X isn’t censorship resistant and they have an algorithm that they choose not the user. Corporate tech platforms like X can be a better fit for some survivors. X has safety tools and content moderation, making it a solid option for certain individuals. Grok can be a big help for survivors looking for resources or support! As a survivor, you know what works best for you, and safety should always come first—keep that front and center.

That said, a protocol is a game-changer for cases where the powerful are likely to censor. During China's # MeToo movement, survivors faced heavy censorship on social media platforms like Weibo and WeChat, where posts about sexual harassment were quickly removed, and hashtags like # MeToo or "woyeshi" were blocked by government and platform filters. To bypass this, activists turned to blockchain technology encoding their stories—like Yue Xin’s open letter about a Peking University case—into transaction metadata. This made the information tamper-proof and publicly accessible, resisting censorship since blockchain data can’t be easily altered or deleted.

I posted this on X 2/28/25. I wanted to try my first long post on a nostr client. The Epstein cover up is ongoing so it’s still relevant, unfortunately.

If you are a survivor or loved one who is reading this and needs support please reach out to: National Sexual Assault Hotline 24/7 https://rainn.org/

Hours: Available 24 hours

yakihonne.com iris.to jumble.social Me

@ e6817453:b0ac3c39

2024-12-07 15:06:43

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.

yakihonne.com iris.to jumble.social Me

@ 3f770d65:7a745b24

2025-04-21 00:15:06

At the recent Launch Music Festival and Conference in Lancaster, PA, featuring over 120 musicians across three days, I volunteered my time with Tunestr and Phantom Power Music's initiative to introduce artists to Bitcoin, Nostr, and the value-for-value model. Tunestr sponsored a stage, live-streaming 21 bands to platforms like Tunestr.io, Fountain.fm and other Nostr/Podcasting 2.0 apps and on-boarding as many others as possible at our conference booth. You may have seen me spamming about this over the last few days.

V4V Earnings

Day 1: 180,000 sats

Day 2: 300,000 sats

Day 3: Over 500,000 sats

Who?

Here are the artists that were on-boarded to Fountain and were live streaming on the Value-for-Value stage:

nostr:npub1cruu4z0hwg7n3r2k7262vx8jsmra3xpku85frl5fnfvrwz7rd7mq7e403w nostr:npub12xeh3n7w8700z4tpd6xlhlvg4vtg4pvpxd584ll5sva539tutc3q0tn3tz nostr:npub1rc80p4v60uzfhvdgxemhvcqnzdj7t59xujxdy0lcjxml3uwdezyqtrpe0j @npub16vxr4pc2ww3yaez9q4s53zkejjfd0djs9lfe55sjhnqkh nostr:npub10uspdzg4fl7md95mqnjszxx82ckdly8ezac0t3s06a0gsf4f3lys8ypeak nostr:npub1gnyzexr40qut0za2c4a0x27p4e3qc22wekhcw3uvdx8mwa3pen0s9z90wk nostr:npub13qrrw2h4z52m7jh0spefrwtysl4psfkfv6j4j672se5hkhvtyw7qu0almy nostr:npub1p0kuqxxw2mxczc90vcurvfq7ljuw2394kkqk6gqnn2cq0y9eq5nq87jtkk nostr:npub182kq0sdp7chm67uq58cf4vvl3lk37z8mm5k5067xe09fqqaaxjsqlcazej nostr:npub162hr8kd96vxlanvggl08hmyy37qsn8ehgj7za7squl83um56epnswkr399 nostr:npub17jzk5ex2rafres09c4dnn5mm00eejye6nrurnlla6yn22zcpl7vqg6vhvx nostr:npub176rnksulheuanfx8y8cr2mrth4lh33svvpztggjjm6j2pqw6m56sq7s9vz nostr:npub1akv7t7xpalhsc4nseljs0c886jzuhq8u42qdcwvu972f3mme9tjsgp5xxk nostr:npub18x0gv872489lrczp9d9m4hx59r754x7p9rg2jkgvt7ul3kuqewtqsssn24

Many more musicians were on-boarded to Fountain, however, we were unable to obtain all of their npubs.

THANK YOU TO ALL ZAPPERS AND BOOSTERS!

Musicians “Get It”

My key takeaway was the musicians' absolute understanding that the current digital landscape along with legacy social media is failing them. Every artist I spoke with recognized how algorithms hinder fan connection and how gatekeepers prevent fair compensation for their work. They all use Spotify, but they only do so out of necessity. They felt the music industry is primed for both a social and monetary revolution. Some of them were even speaking my language…

Because of this, concepts like decentralization, censorship resistance, owning your content, and controlling your social graph weren't just understood by them, they were instantly embraced. The excitement was real; they immediately saw the potential and agreed with me. Bitcoin and Nostr felt genuinely punk rock and that helped a lot of them identify with what we were offering them.

The Tools and the Issues

While the Nostr ecosystem offers a wide variety of tools, we focused on introducing three key applications at this event to keep things clear for newcomers:

1. Fountain, with a music focus, was the primary tool for onboarding attendees onto Nostr. Fountain was also chosen thanks to Fountain’s built-in Lightning wallet.
2. Primal, as a social alternative, was demonstrated to show how users can take their Nostr identity and content seamlessly between different applications.
3. Tunestr.io, lastly was showcased for its live video streaming capabilities.

Although we highlighted these three, we did inform attendees about the broader range of available apps and pointed them to nostrapps.com if they wanted to explore further, aiming to educate without overwhelming them.

This review highlights several UX issues with the Fountain app, particularly concerning profile updates, wallet functionality, and user discovery. While Fountain does work well, these minor hiccups make it extremely hard for on-boarding and education.

• Profile Issues:
• When a user edits their profile (e.g., Username/Nostr address, Lightning address) either during or after creation, the changes don't appear to consistently update across the app or sync correctly with Nostr relays.
• Specifically, the main profile display continues to show the old default Username/Nostr address and Lightning address inside Fountain and on other Nostr clients.
• However, the updated Username/Nostr address does appear on https://fountain.fm (chosen-username@fountain.fm) and is visible within the "Edit Profile" screen itself in the app.
• This inconsistency is confusing for users, as they see their updated information in some places but not on their main public-facing profile within the app. I confirmed this by observing a new user sign up and edit their username – the edit screen showed the new name, but the profile display in Fountain did not update and we did not see it inside Primal, Damus, Amethyst, etc.
• Wallet Limitations:
• The app's built-in wallet cannot scan Lightning address QR codes to initiate payments.
• This caused problems during the event where users imported Bitcoin from Azte.co vouchers into their Fountain wallets. When they tried to Zap a band by scanning a QR code on the live tally board, Fountain displayed an error message stating the invoice or QR code was invalid.
• While suggesting musicians install Primal as a second Nostr app was a potential fix for the QR code issue, (and I mentioned it to some), the burden of onboarding users onto two separate applications, potentially managing two different wallets, and explaining which one works for specific tasks creates a confusing and frustrating user experience.
• Search Difficulties:
• Finding other users within the Fountain app is challenging. I was unable to find profiles from brand new users by entering their chosen Fountain username.
• To find a new user, I had to resort to visiting their profile on the web (fountain.fm/username) to retrieve their npub. Then, open Primal and follow them. Finally, when searching for their username, since I was now following them, I was able to find their profile.
• This search issue is compounded by the profile syncing problem mentioned earlier, as even if found via other clients, their displayed information is outdated.
• Searching for the event to Boost/Zap inside Fountain was harder than it should have been the first two days as the live stream did not appear at the top of the screen inside the tap. This was resolved on the third day of the event.

Improving the Onboarding Experience

To better support user growth, educators and on-boarders need more feature complete and user-friendly applications. I love our developers and I will always sing their praises from the highest mountain tops, however I also recognize that the current tools present challenges that hinder a smooth onboarding experience.

One potential approach explored was guiding users to use Primal (including its built-in wallet) in conjunction with Wavlake via Nostr Wallet Connect (NWC). While this could facilitate certain functions like music streaming, zaps, and QR code scanning (which require both Primal and Wavlake apps), Wavlake itself has usability issues. These include inconsistent or separate profiles between web and mobile apps, persistent "Login" buttons even when logged in on the mobile app with a Nostr identity, and the minor inconvenience of needing two separate applications. Although NWC setup is relatively easy and helps streamline the process, the need to switch between apps adds complexity, especially when time is limited and we’re aiming to showcase the benefits of this new system.

Ultimately, we need applications that are more feature-complete and intuitive for mainstream users to improve the onboarding experience significantly.

Looking forward to the future

I anticipate that most of these issues will be resolved when these applications address them in the near future. Specifically, this would involve Fountain fixing its profile issues and integrating Nostr Wallet Connect (NWC) to allow users to utilize their Primal wallet, or by enabling the scanning of QR codes that pay out to Lightning addresses. Alternatively, if Wavlake resolves the consistency problems mentioned earlier, this would also significantly improve the situation giving us two viable solutions for musicians.

My ideal onboarding event experience would involve having all the previously mentioned issues resolved. Additionally, I would love to see every attendee receive a $5 or $10 voucher to help them start engaging with value-for-value, rather than just the limited number we distributed recently. The goal is to have everyone actively zapping and sending Bitcoin throughout the event. Maybe we can find a large sponsor to facilitate this in the future?

What's particularly exciting is the Launch conference's strong interest in integrating value-for-value across their entire program for all musicians and speakers at their next event in Dallas, Texas, coming later this fall. This presents a significant opportunity to onboard over 100+ musicians to Bitcoin and Nostr, which in turn will help onboard their fans and supporters.

We need significantly more zaps and more zappers! It's unreasonable to expect the same dedicated individuals to continuously support new users; they are being bled dry. A shift is needed towards more people using bitcoin for everyday transactions, treating it as money. This brings me back to my ideal onboarding experience: securing a sponsor to essentially give participants bitcoin funds specifically for zapping and tipping artists. This method serves as a practical lesson in using bitcoin as money and showcases the value-for-value principle from the outset.

yakihonne.com iris.to jumble.social Me

@ c9badfea:610f861a

2025-05-16 20:15:31

1. Install Obtainium (it's free and open source)
2. Launch the app and allow notifications
3. Open your browser, navigate to the GitHub page of the app you want to install, and copy the URL (e.g. https://github.com/revanced/revanced-manager for ReVanced)
4. Launch Obtainium, navigate to Add App, paste the URL into App Source URL, and tap Add
5. Wait for the loading process to finish
6. You can now tap Install to install the application
7. Enable Allow From This Source and return to Obtainium
8. Proceed with the installation by tapping Install

ℹ️ Besides GitHub, Obtainium can install from additional sources

ℹ️ You can also explore Complex Obtainium Apps for more options

yakihonne.com iris.to jumble.social Me

@ 83279ad2:bd49240d

2025-04-20 08:39:12

Hello

yakihonne.com iris.to jumble.social Me

@ e6817453:b0ac3c39

2024-12-07 15:03:06

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!

yakihonne.com iris.to jumble.social Me

@ b83a28b7:35919450

2025-05-16 19:26:56

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

yakihonne.com iris.to jumble.social Me

@ 1bc70a01:24f6a411

2025-04-19 09:58:54

Untype Update

I cleaned up the AI assistant UX. Now you can open it in the editor bar, same as all other actions. This makes it a lot easier to interact with while having access to normal edit functions.

AI-generated content

Untype uses OpenRouter to connect to various models to generate just about anything. It doesn't do images for now, but I'm working on that.

Automatic Title, Summary and Tag Suggestions

Added the functionality to generate titles, summaries and tags with one click.

A Brief Preview

Here is a little story I generated in Untype, ABOUT Untype:

This story was generated in Untype

Once upon a time, in the bustling digital city of Techlandia, there lived a quirky AI named Untype. Unlike other software, Untype wasn't just your everyday article composer — it had a nose for news, quite literally. Untype was equipped with a masterful talent for sniffing out the latest trends and stories wafting through the vast digital ether.

Untype had a peculiar look about it. Sporting a gigantic nose and a pair of spectacles perched just above it, Untype roamed the virtual city, inhaling the freshest gossip and spiciest stories. Its nostr-powered sensors twitched and tickled as it encountered every new scent.

One day, while wandering around the pixelated park, Untype caught a whiff of something extraordinary — a scandalous scoop involving Techlandia's mayor, Doc Processor, who had been spotted recycling old memes as new content. The scent trail was strong, and Untype's nose twitched with excitement.

With a flick of its AI function, Untype began weaving the story into a masterpiece. Sentences flowed like fine wine, infused with humor sharper than a hacker’s focus. "Doc Processor," Untype mused to itself, "tried to buffer his way out of this one with a cache of recycled gifs!"

As Untype typed away, its digital friends, Grammarly the Grammar Gremlin and Canva the Artful Pixie, gathered around to watch the genius at work. "You truly have a knack for news-sniffing," complimented Grammarly, adjusting its tiny monocle. Canva nodded, painting whimsical illustrations to accompany the hilarious exposé.

The article soon spread through Techlandia faster than a virus with a strong wifi signal. The townsfolk roared with laughter at Untype’s clever wit, and even Doc Processor couldn't help but chuckle through his embarrassment.

From that day on, Untype was celebrated not just as a composer but as Techlandia's most revered and humorous news-sniffer. With every sniff and click of its AI functions, Untype proved that in the world of digital creations, sometimes news really was just a nose away.

yakihonne.com iris.to jumble.social Me

@ e6817453:b0ac3c39

2024-12-07 14:54:46

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.

yakihonne.com iris.to jumble.social Me

@ e6817453:b0ac3c39

2024-12-07 14:52:47

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.”

yakihonne.com iris.to jumble.social Me

@ 1bc70a01:24f6a411

2025-04-16 13:53:00

I've been meaning to dogfood my own vibe project for a while so this feels like a good opportunity to use Untype to publish this update and reflect on my vibe coding journey.

New Untype Update

As I write this, I found it a bit annoying dealing with one of the latest features, so I'll need to make some changes right after I'm done. Nonetheless, here are some exciting developments in the Untype article composer:

1. Added inline AI helper! Now you can highlight text and perform all sorts of things like fix grammar, re-write in different styles, and all sorts of other things. This is a bit annoying at the moment because it takes over the other editing functions and I need to fix the UX.

2. Added pushing articles to DMs! This option, when enabled, will send the article to all the subscribers via a NIP-44 DM. (No client has implemented the subscription method yet so technically it won’t work, until one does. I may add this to nrss.app) Also, I have not tested this so it could be broken… will test eventually!

3. Added word counts
4. Added ability to export as markdown, export as PDF, print.

The biggest flaw I have already discovered is how "I" implemented the highlight functionality. Right now when you highlight some text it automatically pops up the AI helper menu and this makes for an annoying time trying to make any changes to text. I wanted to change this to show a floating clickable icon instead, but for some reason the bot is having a difficult time updating the code to this desired UX.

Speaking of difficult times, it's probably a good idea to reflect a bit upon my vibe coding journey.

Vibe Coding Nostr Projects

First, I think it's important to add some context around my recent batch of nostr vibe projects. I am working on them mostly at night and occasionally on weekends in between park runs with kids, grocery shopping and just bumming around the house. People who see buggy code or less than desired UX should understand that I am not spending days coding this stuff. Some apps are literally as simple as typing one prompt!

That said, its pretty clear by now that one prompt cannot produce a highly polished product. This is why I decided to limit my number of project to a handful that I really wish existed, and slowly update them over time - fixing bugs, adding new features in hopes of making them the best tools - not only on nostr but the internet in general. As you can imagine this is not a small task, especially for sporadic vibe coding.

Fighting the bot

One of my biggest challenges so far besides having very limited time is getting the bot to do what I want it to do. I guess if you've done any vibe coding at all you're probably familiar with what I'm trying to say. You prompt one thing and get a hallucinated response, or worse, a complete mess out the other end that undoes most of the progress you've made. Once the initial thing is created, which barely took any time, now you're faced with making it work a certain way. This is where the challenges arise.

Here's a brief list of issues I've faced when vibe-coding with various tools:

1. Runaway expenses - tools like Cline tend to do a better job directly in VSCode, but they can also add up dramatically. Before leaning into v0 (which is where I do most of my vibe coding now), I would often melt through $10 credit purchases faster than I could get a decent feature out. It was not uncommon for me to spend $20-30 on a weekend just trying to debug a handful of issues. Naturally, I did not wish to pay these fees so I searched for alternatives.

2. File duplication - occasionally, seemingly out of nowhere, the bot will duplicate files by creating an entire new copy and attached "-fixed" to the file name. Clearly, I'm not asking for duplicate files, I just want it to fix the existing file, but it does happen and it's super annoying. Then you are left telling it which version to keep and which one to delete, and sometimes you have to be very precise or it'll delete the wrong thing and you have to roll back to a previous working version.

3. Code duplication - similar to file duplication, occasionally the bot will duplicate code and do things in the most unintuitive way imaginable. This often results in loops and crashes that can take many refreshes just to revert back to a working state, and many more prompts to avoid the duplication entirely - something a seasoned dev never has to deal with (or so I imagine).

4. Misinterpreting your request - occasionally the bot will do something you didn't ask for because it took your request quite literally. This tends to happen when I give it very specific prompts that are targeted at fixing one very specific thing. I've noticed the bots tend to do better with vague asks - hence a pretty good result on the initial prompt.

5. Doing things inefficiently, without considering smarter approaches - this one is the most painful of vibe coding issues. As a person who may not be familiar with some of the smarter ways of handling development, you rely on the bot to do the right thing. But, when the bot does something horribly inefficiently and you are non-the-wiser, it can be tough to diagnose the issue. I often fight myself asking the bot "is this really the best way to handle things? Can't we ... / shouldn't we .../ isn't this supposed to..." etc. I guess one of the nice side effects of this annoyance is being able to prompt better. I learn that I should ask the bot to reflect on its own code more often and seek ways to do things more simply.

A combination of the above, or total chaos - this is a category where all hell breaks loose and you're trying to put out one fire after another. Fix one bug, only to see 10 more pop up. Fix those, to see 10 more and so on. I guess this may sound like typical development, but the bot amplifies issues by acting totally irrationally. This is typically when I will revert to a previous save point and just undo everything, often losing a lot of progress.

Lessons Learned

If I had to give my earlier self some tips on how to be a smarter vibe coder, here's how I'd summarize them:

1. Fork often - in v0 I now fork for any new major feature I'd like to add (such as the AI assistant).

2. Use targeting tools - in v0 you can select elements and describe how you wish to edit them.

3. Refactor often - keeping the code more manageable speeds up the process. Since the bot will go through the entire file, even if it only makes one small change, it's best to keep the files small and refactoring achieves that.

I guess the biggest lesson someone might point out is just to stop vibe coding. It may be easier to learn proper development and do things right. For me it has been a spare time hobby (one that I will admit is taking more of my extra time than I'd like). I don't really have the time to learn proper development. I feel like I've learned a lot just bossing the bot around and have learned a bunch of things in the process. That's not to say that I never will, but for the moment being my heart is still mostly in design. I haven't shared much of anything I have designed recently - mostly so I can remain speaking more freely without it rubbing off on my work.

I'll go ahead and try to publish this to see if it actually works 😂. Here goes nothing... (oh, I guess I could use the latest feature to export as markdown so I don't lose any progress! Yay!

yakihonne.com iris.to jumble.social Me

@ c1e9ab3a:9cb56b43

2025-05-06 14:05:40

If you're an engineer stepping into the Bitcoin space from the broader crypto ecosystem, you're probably carrying a mental model shaped by speed, flexibility, and rapid innovation. That makes sense—most blockchain platforms pride themselves on throughput, programmability, and dev agility.

But Bitcoin operates from a different set of first principles. It’s not competing to be the fastest network or the most expressive smart contract platform. It’s aiming to be the most credible, neutral, and globally accessible value layer in human history.

Here’s why that matters—and why Bitcoin is not just an alternative crypto asset, but a structural necessity in the global financial system.

1. Bitcoin Fixes the Triffin Dilemma—Not With Policy, But Protocol

The Triffin Dilemma shows us that any country issuing the global reserve currency must run persistent deficits to supply that currency to the world. That’s not a flaw of bad leadership—it’s an inherent contradiction. The U.S. must debase its own monetary integrity to meet global dollar demand. That’s a self-terminating system.

Bitcoin sidesteps this entirely by being:

• Non-sovereign – no single nation owns it
• Hard-capped – no central authority can inflate it
• Verifiable and neutral – anyone with a full node can enforce the rules

In other words, Bitcoin turns global liquidity into an engineering problem, not a political one. No other system, fiat or crypto, has achieved that.

2. Bitcoin’s “Ossification” Is Intentional—and It's a Feature

From the outside, Bitcoin development may look sluggish. Features are slow to roll out. Code changes are conservative. Consensus rules are treated as sacred.

That’s the point.

When you’re building the global monetary base layer, stability is not a weakness. It’s a prerequisite. Every other financial instrument, app, or protocol that builds on Bitcoin depends on one thing: assurance that the base layer won’t change underneath them without extreme scrutiny.

So-called “ossification” is just another term for predictability and integrity. And when the market does demand change (SegWit, Taproot), Bitcoin’s soft-fork governance process has proven capable of deploying it safely—without coercive central control.

3. Layered Architecture: Throughput Is Not a Base Layer Concern

You don’t scale settlement at the base layer. You build layered systems. Just as TCP/IP doesn't need to carry YouTube traffic directly, Bitcoin doesn’t need to process every microtransaction.

Instead, it anchors:

• Lightning (fast payments)
• Fedimint (community custody)
• Ark (privacy + UTXO compression)
• Statechains, sidechains, and covenants (coming evolution)

All of these inherit Bitcoin’s security and scarcity, while handling volume off-chain, in ways that maintain auditability and self-custody.

4. Universal Assayability Requires Minimalism at the Base Layer

A core design constraint of Bitcoin is that any participant, anywhere in the world, must be able to independently verify the validity of every transaction and block—past and present—without needing permission or relying on third parties.

This property is called assayability—the ability to “test” or verify the authenticity and integrity of received bitcoin, much like verifying the weight and purity of a gold coin.

To preserve this:

• The base layer must remain resource-light, so running a full node stays accessible on commodity hardware.
• Block sizes must remain small enough to prevent centralization of verification.
• Historical data must remain consistent and tamper-evident, enabling proof chains across time and jurisdiction.

Any base layer that scales by increasing throughput or complexity undermines this fundamental guarantee, making the network more dependent on trust and surveillance infrastructure.

Bitcoin prioritizes global verifiability over throughput—because trustless money requires that every user can check the money they receive.

5. Governance: Not Captured, Just Resistant to Coercion

The current controversy around OP_RETURN and proposals to limit inscriptions is instructive. Some prominent devs have advocated for changes to block content filtering. Others see it as overreach.

Here's what matters:

• No single dev, or team, can force changes into the network. Period.
• Bitcoin Core is not “the source of truth.” It’s one implementation. If it deviates from market consensus, it gets forked, sidelined, or replaced.
• The economic majority—miners, users, businesses—enforce Bitcoin’s rules, not GitHub maintainers.

In fact, recent community resistance to perceived Core overreach only reinforces Bitcoin’s resilience. Engineers who posture with narcissistic certainty, dismiss dissent, or attempt to capture influence are routinely neutralized by the market’s refusal to upgrade or adopt forks that undermine neutrality or openness.

This is governance via credible neutrality and negative feedback loops. Power doesn’t accumulate in one place. It’s constantly checked by the network’s distributed incentives.

6. Bitcoin Is Still in Its Infancy—And That’s a Good Thing

You’re not too late. The ecosystem around Bitcoin—especially L2 protocols, privacy tools, custody innovation, and zero-knowledge integrations—is just beginning.

If you're an engineer looking for:

• Systems with global scale constraints
• Architectures that optimize for integrity, not speed
• Consensus mechanisms that resist coercion
• A base layer with predictable monetary policy

Then Bitcoin is where serious systems engineers go when they’ve outgrown crypto theater.

Take-away

Under realistic, market-aware assumptions—where:

• Bitcoin’s ossification is seen as a stability feature, not inertia,
• Market forces can and do demand and implement change via tested, non-coercive mechanisms,
• Proof-of-work is recognized as the only consensus mechanism resistant to fiat capture,
• Wealth concentration is understood as a temporary distribution effect during early monetization,
• Low base layer throughput is a deliberate design constraint to preserve verifiability and neutrality,
• And innovation is layered by design, with the base chain providing integrity, not complexity...

Then Bitcoin is not a fragile or inflexible system—it is a deliberately minimal, modular, and resilient protocol.

Its governance is not leaderless chaos; it's a negative-feedback structure that minimizes the power of individuals or institutions to coerce change. The very fact that proposals—like controversial OP_RETURN restrictions—can be resisted, forked around, or ignored by the market without breaking the system is proof of decentralized control, not dysfunction.

Bitcoin is an adversarially robust monetary foundation. Its value lies not in how fast it changes, but in how reliably it doesn't—unless change is forced by real, bottom-up demand and implemented through consensus-tested soft forks.

In this framing, Bitcoin isn't a slower crypto. It's the engineering benchmark for systems that must endure, not entertain.

Final Word

Bitcoin isn’t moving slowly because it’s dying. It’s moving carefully because it’s winning. It’s not an app platform or a sandbox. It’s a protocol layer for the future of money.

If you're here because you want to help build that future, you’re in the right place.

nostr:nevent1qqswr7sla434duatjp4m89grvs3zanxug05pzj04asxmv4rngvyv04sppemhxue69uhkummn9ekx7mp0qgs9tc6ruevfqu7nzt72kvq8te95dqfkndj5t8hlx6n79lj03q9v6xcrqsqqqqqp0n8wc2

nostr:nevent1qqsd5hfkqgskpjjq5zlfyyv9nmmela5q67tgu9640v7r8t828u73rdqpr4mhxue69uhkymmnw3ezucnfw33k76tww3ux76m09e3k7mf0qgsvr6dt8ft292mv5jlt7382vje0mfq2ccc3azrt4p45v5sknj6kkscrqsqqqqqp02vjk5

nostr:nevent1qqstrszamvffh72wr20euhrwa0fhzd3hhpedm30ys4ct8dpelwz3nuqpr4mhxue69uhkymmnw3ezucnfw33k76tww3ux76m09e3k7mf0qgs8a474cw4lqmapcq8hr7res4nknar2ey34fsffk0k42cjsdyn7yqqrqsqqqqqpnn3znl

yakihonne.com iris.to jumble.social Me

@ 3bf0c63f:aefa459d

2024-12-06 20:37:26

início

"Vocês vêem? Vêem a história? Vêem alguma coisa? Me parece que estou tentando lhes contar um sonho -- fazendo uma tentativa inútil, porque nenhum relato de sonho pode transmitir a sensação de sonho, aquela mistura de absurdo, surpresa e espanto numa excitação de revolta tentando se impôr, aquela noção de ser tomado pelo incompreensível que é da própria essência dos sonhos..."

Ele ficou em silêncio por alguns instantes.

"... Não, é impossível; é impossível transmitir a sensação viva de qualquer época determinada de nossa existência -- aquela que constitui a sua verdade, o seu significado, a sua essência sutil e contundente. É impossível. Vivemos, como sonhamos -- sozinhos..."

• Livros mencionados por Olavo de Carvalho
• Antiga homepage Olavo de Carvalho
• Bitcoin explicado de um jeito correto e inteligível
• Reclamações

---

• Nostr
• Bitcoin
• How IPFS is broken
• Programming quibbles
• Economics
• Open-source software

---

Nostr GitHub Telegram code

yakihonne.com iris.to jumble.social Me

@ 4857600b:30b502f4

2025-03-11 01:58:19

Key Findings

• Researchers at the University of Cambridge discovered that aspirin can help slow the spread of certain cancers, including breast, bowel, and prostate cancers
• The study was published in the journal Nature

How Aspirin Works Against Cancer

• Aspirin blocks thromboxane A2 (TXA2), a chemical produced by blood platelets
• TXA2 normally weakens T cells, which are crucial for fighting cancer
• By inhibiting TXA2, aspirin "unleashes" T cells to more effectively target and destroy cancer cells

Supporting Evidence

• Previous studies showed regular aspirin use was linked to:
• 31% reduction in cancer-specific mortality in breast cancer patients
• 9% decrease in recurrence/metastasis risk
• 25% reduction in colon cancer risk

Potential Impact

• Aspirin could be particularly effective in early stages of cancer
• It may help prevent metastasis, which causes 90% of cancer fatalities
• As an inexpensive treatment, it could be more accessible globally than antibody-based therapies

Cautions

• Experts warn against self-medicating with aspirin
• Potential risks include internal bleeding and stomach ulcers
• Patients should consult doctors before starting aspirin therapy

Next Steps

• Large-scale clinical trials to determine which cancer types and patients would benefit most
• Development of new drugs that mimic aspirin's benefits without side effects

Citations: Natural News

yakihonne.com iris.to jumble.social Me

@ 1bc70a01:24f6a411

2025-04-11 13:50:38

The heading to be

Testing apps, a tireless quest, Click and swipe, then poke the rest. Crashing bugs and broken flows, Hidden deep where logic goes.

Specs in hand, we watch and trace, Each edge case in its hiding place. From flaky taps to loading spins, The war on regressions slowly wins.

Push the build, review the log, One more fix, then clear the fog. For in each test, truth will unfold— A quiet tale of stable code.

This has been a test. Thanks for tuning in.

• one
• two
• three

---

Listen a chill

Tranquility

And leisure

yakihonne.com iris.to jumble.social Me

@ 6b0a60cf:b952e7d4

2025-04-01 11:53:31

nostr:nevent1qqspynu0th85xlczqgnafy2na46mg276u0c5dmpd9utcz36npmqdmpsunn5rl nostr:nevent1qqs06cvm4qq9ymt2j58u0p7c46j2atxevjkp5vpezvlzesxcp7v03fqm0tp5k nostr:nevent1qqs8vjpu7wd5h7p0elysezzml7wzhaxgjwnp5h7yst0uudyy8pjt3pckcapzl nostr:nevent1qqswmpc5vghej8uz5mk8nta2szx3ejdsvdrvxtspmc3mld683j53mfsf0ujes nostr:nevent1qqs9cwaua4gvrxms3qz8rntj7jmuyvv953sm9lcwk5j4p8jfc4qxpgc7sfhw2 nostr:nevent1qqsx4f2m3njh0cpgqe376xpqde65ujq0aq50nj45ttfqls3yzluqujgpuum60 nostr:nevent1qqsrx7q02xfyak54zcmh233trqtpw725ywasfyg9dz08prxdvcnnuhqdnymnw nostr:nevent1qqsdllaud8mjpfhfzgu9nxjgvys5g08eu344909nyekrrn92pzhpxac56vtuj nostr:nevent1qqsxhx3skvs8xeddpwvhct3yhp02vgmdu90my67ttlj70muhcu3malqjadl5f nostr:nevent1qqs2k5q965ppnvxs7tna9wwx3njtp9r40ur4ahud8ykug85vth03haqe6m4py nostr:nevent1qqspzh3q002ssre56emu2kkhel82sd9j2sacd75fm998km8p6cxn8gg7agpxy nostr:nevent1qqsy8v9vj7u3jfnmhl6867n847d2gs7gpvdn5zdnm98nes9zlgu3rnqjkwmt9 nostr:nevent1qqsq559y4mj940540zhzxa9teknz74l9d6tqptste7l4lqu5yfvu2tg74dky7 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@ 77110427:f621e11c

2024-12-02 22:55:12

All credit to Guns Magazine. Read the full issue here ⬇️

February 1970 PDF

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📰 Past Magazine Mondays 📰

001: May 1963

002: August 1969

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⬇️ Follow 1776 HODL ⬇️

Website

Nostr

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@ 4857600b:30b502f4

2025-03-10 12:09:35

At this point, we should be arresting, not firing, any FBI employee who delays, destroys, or withholds information on the Epstein case. There is ZERO explanation I will accept for redacting anything for “national security” reasons. A lot of Trump supporters are losing patience with Pam Bondi. I will give her the benefit of the doubt for now since the corruption within the whole security/intelligence apparatus of our country runs deep. However, let’s not forget that probably Trump’s biggest mistakes in his first term involved picking weak and easily corruptible (or blackmailable) officials. It seemed every month a formerly-loyal person did a complete 180 degree turn and did everything they could to screw him over, regardless of the betrayal’s effect on the country or whatever principles that person claimed to have. I think he’s fixed his screening process, but since we’re talking about the FBI, we know they have the power to dig up any dirt or blackmail material available, or just make it up. In the Epstein case, it’s probably better to go after Bondi than give up a treasure trove of blackmail material against the long list of members on his client list.

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@ c631e267:c2b78d3e

2025-05-16 18:40:18

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.

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@ 83279ad2:bd49240d

2025-03-30 14:21:49

Test

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@ 6389be64:ef439d32

2025-02-27 21:32:12

GA, plebs. The latest episode of Bitcoin And is out, and, as always, the chicanery is running rampant. Let’s break down the biggest topics I covered, and if you want the full, unfiltered rant, make sure to listen to the episode linked below.

House Democrats’ MEME Act: A Bad Joke?

House Democrats are proposing a bill to ban presidential meme coins, clearly aimed at Trump’s and Melania’s ill-advised token launches. While grifters launching meme coins is bad, this bill is just as ridiculous. If this legislation moves forward, expect a retaliatory strike exposing how politicians like Pelosi and Warren mysteriously amassed their fortunes. Will it pass? Doubtful. But it’s another sign of the government’s obsession with regulating everything except itself.

Senate Banking’s First Digital Asset Hearing: The Real Target Is You

Cynthia Lummis chaired the first digital asset hearing, and—surprise!—it was all about control. The discussion centered on stablecoins, AML, and KYC regulations, with witnesses suggesting Orwellian measures like freezing stablecoin transactions unless pre-approved by authorities. What was barely mentioned? Bitcoin. They want full oversight of stablecoins, which is really about controlling financial freedom. Expect more nonsense targeting self-custody wallets under the guise of stopping “bad actors.”

Bank of America and PayPal Want In on Stablecoins

Bank of America’s CEO openly stated they’ll launch a stablecoin as soon as regulation allows. Meanwhile, PayPal’s CEO paid for a hat using Bitcoin—not their own stablecoin, Pi USD. Why wouldn’t he use his own product? Maybe he knows stablecoins aren’t what they’re hyped up to be. Either way, the legacy financial system is gearing up to flood the market with stablecoins, not because they love crypto, but because it’s a tool to extend U.S. dollar dominance.

MetaPlanet Buys the Dip

Japan’s MetaPlanet issued $13.4M in bonds to buy more Bitcoin, proving once again that institutions see the writing on the wall. Unlike U.S. regulators who obsess over stablecoins, some companies are actually stacking sats.

UK Expands Crypto Seizure Powers

Across the pond, the UK government is pushing legislation to make it easier to seize and destroy crypto linked to criminal activity. While they frame it as going after the bad guys, it’s another move toward centralized control and financial surveillance.

Bitcoin Tools & Tech: Arc, SatoChip, and Nunchuk

Some bullish Bitcoin developments: ARC v0.5 is making Bitcoin’s second layer more efficient, SatoChip now supports Taproot and Nostr, and Nunchuk launched a group wallet with chat, making multisig collaboration easier.

The Bottom Line

The state is coming for financial privacy and control, and stablecoins are their weapon of choice. Bitcoiners need to stay focused, keep their coins in self-custody, and build out parallel systems. Expect more regulatory attacks, but don’t let them distract you—just keep stacking and transacting in ways they can’t control.

🎧 Listen to the full episode here: https://fountain.fm/episode/PYITCo18AJnsEkKLz2Ks

💰 Support the show by boosting sats on Podcasting 2.0! and I will see you on the other side.

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@ 3a9a4c49:f774dd7a

2025-05-16 18:05:58

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yakihonne.com iris.to jumble.social Me

@ c1e9ab3a:9cb56b43

2025-05-05 14:25:28

Introduction: The Power of Fiction and the Shaping of Collective Morality

Stories define the moral landscape of a civilization. From the earliest mythologies to the modern spectacle of global cinema, the tales a society tells its youth shape the parameters of acceptable behavior, the cost of transgression, and the meaning of justice, power, and redemption. Among the most globally influential narratives of the past half-century is the Star Wars saga, a sprawling science fiction mythology that has transcended genre to become a cultural religion for many. Central to this mythos is the arc of Anakin Skywalker, the fallen Jedi Knight who becomes Darth Vader. In Star Wars: Episode III – Revenge of the Sith, Anakin commits what is arguably the most morally abhorrent act depicted in mainstream popular cinema: the mass murder of children. And yet, by the end of the saga, he is redeemed.

This chapter introduces the uninitiated to the events surrounding this narrative turn and explores the deep structural and ethical concerns it raises. We argue that the cultural treatment of Darth Vader as an anti-hero, even a role model, reveals a deep perversion in the collective moral grammar of the modern West. In doing so, we consider the implications this mythology may have on young adults navigating identity, masculinity, and agency in a world increasingly shaped by spectacle and symbolic narrative.

Part I: The Scene and Its Context

In Revenge of the Sith (2005), the third episode of the Star Wars prequel trilogy, the protagonist Anakin Skywalker succumbs to fear, ambition, and manipulation. Convinced that the Jedi Council is plotting against the Republic and desperate to save his pregnant wife from a vision of death, Anakin pledges allegiance to Chancellor Palpatine, secretly the Sith Lord Darth Sidious. Upon doing so, he is given a new name—Darth Vader—and tasked with a critical mission: to eliminate all Jedi in the temple, including its youngest members.

In one of the most harrowing scenes in the film, Anakin enters the Jedi Temple. A group of young children, known as "younglings," emerge from hiding and plead for help. One steps forward, calling him "Master Skywalker," and asks what they are to do. Anakin responds by igniting his lightsaber. The screen cuts away, but the implication is unambiguous. Later, it is confirmed through dialogue and visual allusion that he slaughtered them all.

There is no ambiguity in the storytelling. The man who will become the galaxy’s most feared enforcer begins his descent by murdering defenseless children.

Part II: A New Kind of Evil in Youth-Oriented Media

For decades, cinema avoided certain taboos. Even films depicting war, genocide, or psychological horror rarely crossed the line into showing children as victims of deliberate violence by the protagonist. When children were harmed, it was by monstrous antagonists, supernatural forces, or offscreen implications. The killing of children was culturally reserved for historical atrocities and horror tales.

In Revenge of the Sith, this boundary was broken. While the film does not show the violence explicitly, the implication is so clear and so central to the character arc that its omission from visual depiction does not blunt the narrative weight. What makes this scene especially jarring is the tonal dissonance between the gravity of the act and the broader cultural treatment of Star Wars as a family-friendly saga. The juxtaposition of child-targeted marketing with a central plot involving child murder is not accidental—it reflects a deeper narrative and commercial structure.

This scene was not a deviation from the arc. It was the intended turning point.

Part III: Masculinity, Militarism, and the Appeal of the Anti-Hero

Darth Vader has long been idolized as a masculine icon. His towering presence, emotionless control, and mechanical voice exude power and discipline. Military institutions have quoted him. He is celebrated in memes, posters, and merchandise. Within the cultural imagination, he embodies dominance, command, and strategic ruthlessness.

For many young men, particularly those struggling with identity, agency, and perceived weakness, Vader becomes more than a character. He becomes an archetype: the man who reclaims power by embracing discipline, forsaking emotion, and exacting vengeance against those who betrayed him. The emotional pain that leads to his fall mirrors the experiences of isolation and perceived emasculation that many young men internalize in a fractured society.

The symbolism becomes dangerous. Anakin's descent into mass murder is portrayed not as the outcome of unchecked cruelty, but as a tragic mistake rooted in love and desperation. The implication is that under enough pressure, even the most horrific act can be framed as a step toward a noble end.

Part IV: Redemption as Narrative Alchemy

By the end of the original trilogy (Return of the Jedi, 1983), Darth Vader kills the Emperor to save his son Luke and dies shortly thereafter. Luke mourns him, honors him, and burns his body in reverence. In the final scene, Vader's ghost appears alongside Obi-Wan Kenobi and Yoda—the very men who once considered him the greatest betrayal of their order. He is welcomed back.

There is no reckoning. No mention of the younglings. No memorial to the dead. No consequence beyond his own internal torment.

This model of redemption is not uncommon in Western storytelling. In Christian doctrine, the concept of grace allows for any sin to be forgiven if the sinner repents sincerely. But in the context of secular mass culture, such redemption without justice becomes deeply troubling. The cultural message is clear: even the worst crimes can be erased if one makes a grand enough gesture at the end. It is the erasure of moral debt by narrative fiat.

The implication is not only that evil can be undone by good, but that power and legacy matter more than the victims. Vader is not just forgiven—he is exalted.

Part V: Real-World Reflections and Dangerous Scripts

In recent decades, the rise of mass violence in schools and public places has revealed a disturbing pattern: young men who feel alienated, betrayed, or powerless adopt mythic narratives of vengeance and transformation. They often see themselves as tragic figures forced into violence by a cruel world. Some explicitly reference pop culture, quoting films, invoking fictional characters, or modeling their identities after cinematic anti-heroes.

It would be reductive to claim Star Wars causes such events. But it is equally naive to believe that such narratives play no role in shaping the symbolic frameworks through which vulnerable individuals understand their lives. The story of Anakin Skywalker offers a dangerous script:

• You are betrayed.
• You suffer.
• You kill.
• You become powerful.
• You are redeemed.

When combined with militarized masculinity, institutional failure, and cultural nihilism, this script can validate the darkest impulses. It becomes a myth of sacrificial violence, with the perpetrator as misunderstood hero.

Part VI: Cultural Responsibility and Narrative Ethics

The problem is not that Star Wars tells a tragic story. Tragedy is essential to moral understanding. The problem is how the culture treats that story. Darth Vader is not treated as a warning, a cautionary tale, or a fallen angel. He is merchandised, celebrated, and decontextualized.

By separating his image from his actions, society rebrands him as a figure of cool dominance rather than ethical failure. The younglings are forgotten. The victims vanish. Only the redemption remains. The merchandise continues to sell.

Cultural institutions bear responsibility for how such narratives are presented and consumed. Filmmakers may intend nuance, but marketing departments, military institutions, and fan cultures often reduce that nuance to symbol and slogan.

Conclusion: Reckoning with the Stories We Tell

The story of Anakin Skywalker is not morally neutral. It is a tale of systemic failure, emotional collapse, and unchecked violence. When presented in full, it can serve as a powerful warning. But when reduced to aesthetic dominance and easy redemption, it becomes a tool of moral decay.

The glorification of Darth Vader as a cultural icon—divorced from the horrific acts that define his transformation—is not just misguided. It is dangerous. It trains a generation to believe that power erases guilt, that violence is a path to recognition, and that final acts of loyalty can overwrite the deliberate murder of the innocent.

To the uninitiated, Star Wars may seem like harmless fantasy. But its deepest myth—the redemption of the child-killer through familial love and posthumous honor—deserves scrutiny. Not because fiction causes violence, but because fiction defines the possibilities of how we understand evil, forgiveness, and what it means to be a hero.

We must ask: What kind of redemption erases the cries of murdered children? And what kind of culture finds peace in that forgetting?

yakihonne.com iris.to jumble.social Me

@ 94a6a78a:0ddf320e

2025-02-19 21:10:15

Nostr is a revolutionary protocol that enables decentralized, censorship-resistant communication. Unlike traditional social networks controlled by corporations, Nostr operates without central servers or gatekeepers. This openness makes it incredibly powerful—but also means its success depends entirely on users, developers, and relay operators.

If you believe in free speech, decentralization, and an open internet, there are many ways to support and strengthen the Nostr ecosystem. Whether you're a casual user, a developer, or someone looking to contribute financially, every effort helps build a more robust network.

Here’s how you can get involved and make a difference.

---

1️⃣ Use Nostr Daily

The simplest and most effective way to contribute to Nostr is by using it regularly. The more active users, the stronger and more valuable the network becomes.

✅ Post, comment, and zap (send micro-payments via Bitcoin’s Lightning Network) to keep conversations flowing.\ ✅ Engage with new users and help them understand how Nostr works.\ ✅ Try different Nostr clients like Damus, Amethyst, Snort, or Primal and provide feedback to improve the experience.

Your activity keeps the network alive and helps encourage more developers and relay operators to invest in the ecosystem.

---

2️⃣ Run Your Own Nostr Relay

Relays are the backbone of Nostr, responsible for distributing messages across the network. The more independent relays exist, the stronger and more censorship-resistant Nostr becomes.

✅ Set up your own relay to help decentralize the network further.\ ✅ Experiment with relay configurations and different performance optimizations.\ ✅ Offer public or private relay services to users looking for high-quality infrastructure.

If you're not technical, you can still support relay operators by subscribing to a paid relay or donating to open-source relay projects.

---

3️⃣ Support Paid Relays & Infrastructure

Free relays have helped Nostr grow, but they struggle with spam, slow speeds, and sustainability issues. Paid relays help fund better infrastructure, faster message delivery, and a more reliable experience.

✅ Subscribe to a paid relay to help keep it running.\ ✅ Use premium services like media hosting (e.g., Azzamo Blossom) to decentralize content storage.\ ✅ Donate to relay operators who invest in long-term infrastructure.

By funding Nostr’s decentralized backbone, you help ensure its longevity and reliability.

---

4️⃣ Zap Developers, Creators & Builders

Many people contribute to Nostr without direct financial compensation—developers who build clients, relay operators, educators, and content creators. You can support them with zaps! ⚡

✅ Find developers working on Nostr projects and send them a zap.\ ✅ Support content creators and educators who spread awareness about Nostr.\ ✅ Encourage builders by donating to open-source projects.

Micro-payments via the Lightning Network make it easy to directly support the people who make Nostr better.

---

5️⃣ Develop New Nostr Apps & Tools

If you're a developer, you can build on Nostr’s open protocol to create new apps, bots, or tools. Nostr is permissionless, meaning anyone can develop for it.

✅ Create new Nostr clients with unique features and user experiences.\ ✅ Build bots or automation tools that improve engagement and usability.\ ✅ Experiment with decentralized identity, authentication, and encryption to make Nostr even stronger.

With no corporate gatekeepers, your projects can help shape the future of decentralized social media.

---

6️⃣ Promote & Educate Others About Nostr

Adoption grows when more people understand and use Nostr. You can help by spreading awareness and creating educational content.

✅ Write blogs, guides, and tutorials explaining how to use Nostr.\ ✅ Make videos or social media posts introducing new users to the protocol.\ ✅ Host discussions, Twitter Spaces, or workshops to onboard more people.

The more people understand and trust Nostr, the stronger the ecosystem becomes.

---

7️⃣ Support Open-Source Nostr Projects

Many Nostr tools and clients are built by volunteers, and open-source projects thrive on community support.

✅ Contribute code to existing Nostr projects on GitHub.\ ✅ Report bugs and suggest features to improve Nostr clients.\ ✅ Donate to developers who keep Nostr free and open for everyone.

If you're not a developer, you can still help with testing, translations, and documentation to make projects more accessible.

---

🚀 Every Contribution Strengthens Nostr

Whether you:

✔️ Post and engage daily\ ✔️ Zap creators and developers\ ✔️ Run or support relays\ ✔️ Build new apps and tools\ ✔️ Educate and onboard new users

Every action helps make Nostr more resilient, decentralized, and unstoppable.

Nostr isn’t just another social network—it’s a movement toward a free and open internet. If you believe in digital freedom, privacy, and decentralization, now is the time to get involved.

yakihonne.com iris.to jumble.social Me

@ ff517fbf:fde1561b

2025-03-30 04:43:09

ビットコインが「最強の担保」と言われる理由

ビットコインは「デジタルゴールド」とも呼ばれることがありますが、実はローンの担保としても最強だと言われています。その理由を、他の資産（株式、不動産、金など）と比較しながら見てみましょう。

• 流動性と即時性：ビットコインは24時間365日世界中で取引されているため、非常に流動性が高い資産です。売買がすぐにできて価格も常に明確なので、担保評価がしやすく、お金を貸す側・借りる側双方に安心感を与えます。一方、株式や不動産は市場が営業時間内しか動かず、現金化にも時間がかかります。不動産は売却に数ヶ月かかることもありますし、金（ゴールド）は現物を保管・輸送する手間があります。ビットコインならネット上で即座に担保設定・解除ができるのです。

• 分割性と柔軟性：ビットコインは小数点以下8桁まで分割可能（1億分の1が最小単位の「サトシ」）なので、必要な額だけ正確に担保に充てることができます。他方、土地や建物を一部だけ担保に入れることは難しいですし、株式も1株未満の細かい調整はできません。ビットコインなら価値の微調整が容易で、担保として柔軟に扱えるのです。

• 管理のしやすさ（マルチシグによる信頼性）：HodlHodlのLendでは、ビットコイン担保は2-of-3のマルチシグ契約で管理されます。これは「借り手・貸し手・プラットフォーム」の3者それぞれが鍵を持ち、2つの鍵の同意がないとビットコインを動かせない仕組みです。このため、誰か一人が勝手に担保を持ち逃げすることができず、第三者（HodlHodl）も単独ではコインを移動できません。ビットコインだからこそ実現できる非中央集権で安全な担保管理であり、株式や不動産を担保にする場合のように銀行や証券会社といった仲介業者に頼る必要がありません。

• 国境を越えた利用：ビットコインはインターネットがつながる所なら世界中どこでも送受信できます。このため、日本にいながら海外の相手とでもローン契約が可能です。たとえば日本の方がビットコインを担保にドル建てのステーブルコインを借り、それを日本円に換えて使うこともできます（為替リスクには注意ですが…）。不動産を海外の人と直接やり取りするのは現実的に難しいですが、ビットコインならグローバルに担保が活用できるのです。

• 希少性と価値の上昇期待：ビットコインは発行上限が決まっており（2100万BTCまで）、時間とともに新規供給が減っていきます。過去の長期的な価格推移を見ると、短期的な変動は激しいものの数年〜十年のスパンでは上昇傾向にあります。一方、法定通貨建ての資産（債券や株式など）はインフレの影響で実質価値が目減りすることがあります。ビットコインは長期保有すれば価値が上がりやすい特性があるため、「今手放したくない資産」として担保に向いています。実際、HodlHodlのチームは「ビットコインはスーパーカCollateral（超優秀な担保）だ」と述べています。

こうした理由から、ビットコインは現時点で考えうる中でも最良の担保資産と考えられています。株や不動産のように書類手続きや名義変更をしなくても、ビットコインならブロックチェーン上の契約でシンプルに担保設定ができる――この手軽さと信頼性が大きな魅力です。

匿名&プライバシー重視：KYC不要のP2Pレンディングのメリット

HodlHodlのLend最大の特徴の一つは、本人確認（KYC）が一切不要だという点です。日本の多くの金融サービスでは口座開設時に運転免許証やマイナンバー提出など煩雑な手続きが必要ですが、Lendではメールアドレスでアカウント登録するだけでOK。これは「匿名性・プライバシー」を重視する人にとって非常に相性が良いポイントです。

• 個人情報を晒さなくて良い安心感：日本では昔から「人に迷惑をかけない」「目立たない」ことが美徳とされ、特にお金の話は他人に知られたくないと考える人が多いですよね。Lendは匿名で利用できるため、借金をすることを周囲に知られたくない人でも安心です。銀行からローンを借りるときのように収入証明や保証人を用意する必要もなく、誰にも知られずひっそりと資金調達ができます。

• ノー・チェック＆ノー・ペーパー：貸し借りにあたって信用審査や過去の借入履歴チェックがありません 。極端な話、今まで金融履歴が全く無い人や、銀行に相手にされないような人でも、ビットコインさえ持っていればお金を借りられるのです。書類のやり取りが無いので手続きもスピーディーです。「印鑑証明や収入証明を揃えて…」という面倒とは無縁で、ネット上でクリックして契約が完結します。

• プライバシーの保護：個人情報を提出しないということは、情報漏洩のリスクも無いということです。近年、日本でも個人情報の流出事件が相次いでおり、不安に感じる方も多いでしょう。Lendではアカウント登録時にメールアドレスとパスワード以外何も求められません。財務情報や身元情報がどこかに蓄積される心配がないのは、大きな安心材料です。

• 国や機関から干渉されにくい：匿名であるということは、極端に言えば誰にも利用を知られないということです。たとえば「ローンを借りると住宅ローンの審査に響くかな…」とか「副業の資金調達を会社に知られたくないな…」といった心配も、匿名のP2Pローンなら不要です。借りたお金の使い道も自由ですし、何より利用自体が自分だけの秘密にできるのは、日本人にとって心理的ハードルを下げてくれるでしょう。

このように、ノーKYC（本人確認なし） のP2Pレンディングは、日本のようにプライバシーや控えめさを重んじる文化圏でも利用しやすいサービスと言えます。実際、HodlHodlのLendは「地理的・規制的な制限がなく、世界中の誰もが利用できる純粋なP2P市場」とされています。日本に居ながらグローバルな貸し借りができ、しかも身元明かさずに済む――これは画期的ですね。

Borrow編：HodlHodlのLendでビットコインを担保にお金を借りる方法

それでは具体的に、HodlHodlのLendでどのようにビットコイン担保のローンを借りるのか、手順を追って説明します。初心者でも迷わないよう、シンプルなステップにまとめました。

1. アカウント登録 (Sign up)

まずはHodlHodlのLendサイトにアクセスし、無料のアカウントを作成します。必要なのはメールアドレスとパスワードだけです。登録後、確認メールが届くのでリンクをクリックして認証すれば準備完了。これでプラットフォーム上でオファー（契約希望）を閲覧・作成できるようになります。

※HodlHodlは日本語には対応していませんが、英語のシンプルなUIです。Google翻訳などを使っても良いでしょう。

2. 借りたい条件のオファーを探す or 作成

ログインしたら、「To Borrow（借りる）」のメニューから現在出ている貸し手のオファー一覧を見てみましょう。オファーには借入希望額（例：$1000相当のUSDT）、期間（例：3ヶ月）、金利（例：5%）やLTV（担保価値比率、例：60%）などの条件が書かれています。自分の希望に合うものがあれば選んで詳細画面へ進みます。条件に合うオファーが見つからない場合は、自分で「○○ USDTを△ヶ月、金利○%で借りたい」という借り手オファーを新規作成することも可能です。

用語補足：LTV（ローン・トゥ・バリュー）とはローン額に対する担保価値の割合です。たとえばLTV50%なら、借りたい額の2倍の価値のビットコインを担保に入れる必要があります。LTVは貸し手が設定しており、一般に30%〜70%程度の範囲でオファーが出ています。低いLTVほど借り手は多くのBTC担保が必要ですが、その分だけ貸し手にとって安全なローンとなります。

3. 契約成立とマルチシグ担保のデポジット

借り手・貸し手双方が条件に合意すると契約成立です。HodlHodlプラットフォーム上で自動的に専用のマルチシグ・エスクロー用ビットコインアドレス（担保保管先アドレス）が生成されます。次に、借り手であるあなたは自分のウォレットからビットコインをそのエスクローアドレスに送金します。

• 📌ポイント：マルチシグで安心 – 上述の通り、このエスクロー用アドレスのコインを動かすには3者中2者の署名が必要です。あなた（借り手）は常にそのうちの1つの鍵を保有しています。つまり、自分が承認しない限り担保BTCが勝手に引き出されることはないのでご安心ください。

ビットコインの入金がブロックチェーン上で所定の承認（通常数ブロック程度）を得ると、担保デポジット完了です。これで契約は有効化され、次のステップへ進みます。

4. 貸し手から資金（ステーブルコイン）を受け取る

担保のロックが確認できると、今度は貸し手がローン金額の送金を行います。Lendで借りられるのは主にステーブルコインです。ステーブルコインとは、米ドルなど法定通貨の価値に連動するよう設計された仮想通貨で、USDTやUSDC、DAIといった種類があります。借り手は契約時に受取用のステーブルコインアドレス（自分のウォレットアドレス）を指定しますので、貸し手はそのアドレス宛に契約どおりの額を送金します。例えばUSDTを借りる契約なら、貸し手からあなたのUSDTウォレットにUSDTが送られてきます。

これで晴れて、あなた（借り手）は希望のステーブルコインを手にすることができました！ あなたのビットコインは担保としてロックされていますが、期限までに返済すれば取り戻せますので、しばしのお別れです。借りたステーブルコインは自由に使えますので、後述する活用例を参考に有効活用しましょう。

5. 返済（リペイメント）

契約期間中は基本的に何もする必要はありません（途中で追加担保や一部返済を行うことも可能ですが、初心者向け記事では割愛します）。期間が満了するまでに、借りたステーブルコイン＋利息を貸し手に返済します。返済も、貸し手の指定するウォレットアドレスにステーブルコインを送金する形で行われます。

• 利息の計算：利息は契約時に決めた率で発生します。例えば年利10%で6ヶ月間$1000を借りたなら、利息は単純計算で$50（＝$1000×10%×0.5年）です。契約によっては「期間全体で○%」と定める場合もありますが、プラットフォーム上で年率（APR）換算が表示されます。

期間内であれば任意のタイミングで早期返済することも可能です。返済期限より早く全額返せば、利息もその日数分だけで済みます（※ただし契約によります。事前に契約条件を確認してください）。HodlHodlでは分割返済にも対応しており、例えば月ごとに少しずつ返して最後に完済することもできます。

6. ビットコイン担保の解除（返却）

貸し手があなたからの返済受領を確認すると、プラットフォーム上で契約終了の手続きを行います。マルチシグの担保アドレスからあなたのビットコインを解放（返却）する署名を貸し手とプラットフォームが行い、あなたの元のウォレットにビットコインが送られます。こうして無事に担保のBTCが戻ってくれば、一連のローン取引は完了です🎉。

もし返済が滞った場合はどうなるのでしょうか？その場合、契約で定められた猶予期間やマージンコール（追加担保のお願い）を経た後、担保のビットコインが強制的に貸し手に渡されて契約終了（清算）となります。担保額が未返済額を上回っていれば、差額は借り手に返ってきます。つまり、返せなかったとしても借り手が担保以上の損をすることはありませんが、大切なビットコインを失ってしまう結果にはなるので注意しましょう。

Borrow（借りる）側のまとめ：ビットコインさえあれば、あとの手続きは非常に簡単です。借入までの流れをもう一度簡潔にまとめると：

1. メールアドレスでLendに登録
2. 借入オファーを探すor作成してマッチング
3. マルチシグ契約が自動生成・BTC担保を自分で入金
4. 貸し手からステーブルコインを受領
5. 期限までにステーブルコイン＋利息を返済
6. ビットコイン担保が自分のウォレットに戻る

第三者の仲介なしに、ネット上でこれだけのことが完結するのは驚きですよね。HodlHodlは「あなたの条件、あなたの鍵、あなたのコイン」と銘打っており、自分の望む条件で・自分が鍵を管理し・自分の資産を動かせるプラットフォームであることを強調しています。

Lend編：HodlHodlのプラットフォームでお金を貸してみよう

次は逆に、自分が貸し手（Lender）となってステーブルコインを貸し出し、利息収入を得る方法です。銀行に預けても超低金利のこのご時世、手持ちの資金をうまく運用したい方にとってP2Pレンディングは魅力的な選択肢になりえます。HodlHodlのLendなら、これもまた簡単な手順で始められます。

基本的な流れは先ほどの「Borrow編」と鏡写しになっています。

1. アカウント登録

借り手と同様、まずはHodlHodlに登録します（すでに借り手として登録済みなら同じアカウントで貸し手にもなれます）。メールアドレスだけでOK、もちろん貸し手側もKYC不要です。

2. 貸出オファーの確認 or 作成

ログイン後、「To Lend（貸す）」メニューから現在の借り手募集一覧を見ます。各オファーには希望額・期間・支払い利率・LTVなど条件が表示されています。「この条件なら貸してもいいかな」という案件があれば選択しましょう。もし自分の希望する利回りや期間が合わない場合は、自分で貸し手オファーを作成することも可能です。「○○ USDTまで、最長△ヶ月、最低利息◻◻%で貸せます」といった条件を提示できます。プラットフォーム上ではユーザーがお互いに条件を提示しあってマッチングする仕組みなので、金利や期間もすべてユーザー自身が自由に設定できます。

3. マッチングと契約開始

あなたの提示した条件で借りたい人が現れたら契約成立です（逆に誰かの借入オファーに応じる形なら、その時点で成立）。システムがマルチシグの担保用BTCアドレスを生成し、借り手がそこへビットコインをデポジットします。借り手からのBTC入金が確認できるまで、貸し手であるあなたは資金を送る必要はありません。担保が確保されたのを見届けてから次に進みます。

4. 資金（ステーブルコイン）の送金

借り手の担保ロックが完了したら、契約で定めたステーブルコインを借り手へ送金します。送金先アドレスは契約詳細画面に表示されます（借り手が指定済み）。例えばUSDCを貸す契約なら、相手のUSDCアドレスに約束の額を送ります。ここで送金した金額がローンの principal（元本）となり、後ほど利息とともに返ってくるわけです。

無事に相手に届けば、あとは契約期間終了まで待つだけです。あなたは担保のBTCに対して鍵を1つ持っている状態なので、万一トラブルが起きた場合でも担保を引き出す権利を部分的に持っています（詳しくは次ステップ）。

5. 返済の受領

契約期間が終わると、借り手があなたにステーブルコインを返済してくるはずです。約束どおり元本＋利息を受け取ったら、それを確認してプラットフォーム上で「返済完了」を操作します。すると担保のビットコインがマルチシグから解放され、借り手に返却されます。これで貸し手としてのあなたは利息分の収益を獲得できました。お疲れ様です！

もし借り手が返済しなかった場合どうなるでしょうか？その場合、所定の猶予期間やマージンコール通知の後、担保のビットコインがあなた（貸し手）に渡されることになります。具体的には、LTVが90%に達するか返済期日から24時間以上滞納が続くと強制清算となり、担保BTCからあなたの貸付相当額が充当されます。担保が十分であれば元本と利息はカバーされ、余剰があれば借り手に返還されます。つまり貸し手側はかなり手厚く保護されており、返済を受け取れない場合でも担保で穴埋めされる仕組みです。

6. 収益を管理・再投資

受け取ったステーブルコイン（元本＋利息）は再度プラットフォームで貸し出しても良いですし、他の用途に使ってもOKです。年利に換算するとだいたい10%前後の利回りになる案件が多く見られます。条件次第では更に高い利率の契約も可能ですが、その分借り手が見つかりにくかったりリスク（担保不足のリスク）が高まる可能性もあります。ご自身のリスク許容度に合わせて運用しましょう。

Lend（貸す）側のまとめ：

• HodlHodlに登録（メールアドレスのみ）
• 貸出オファーを提示 or 借り手募集に応じる
• 契約成立後、借り手がBTC担保を入金
• 貸し手（自分）がステーブルコインを送金
• 期限まで待ち、借り手から元本＋利息を受領
• 担保BTCを返却し、利息収入を得る

銀行預金では考えられないような利息収入を得られるのが魅力ですが、その裏でビットコイン価格変動リスクも担っています。大暴落が起きて担保評価額が急落すると、清算時に元本を割るリスクもゼロではありません（LTV設定とマージンコール制度で極力保護されまますが）。リスクとリターンを理解した上で、小額から試すことをおすすめします。

ステーブルコインの活用：お金持ちは借金で生活する？

ここまで、ビットコインを手放さずにステーブルコインを手に入れる方法を見てきました。それでは、借りたステーブルコインは具体的に何に使えるのでしょうか？いくつか例を挙げてみましょう。

• 日常の出費に充当：ビットコイン投資家の中には「生活費はすべて借りたお金で賄い、自分のBTCはガチホ（売らずに長期保有）する」という方針の人もいます。例えば毎月の家賃や食費をステーブルコインのローンで支払い(これについても今後詳しく解説していきます)、ビットコインは一切使わないというイメージです。こうすれば、手持ちのBTCを売らずに済むので将来の値上がり益を逃しません。また日本では仮想通貨を売却すると雑所得として高率の税金がかかりますが、ローンで得たお金は借入金なので課税対象になりません（※将来的な税務計算は自己責任で行ってください）。つまり、ビットコインを売却して現金化する代わりにローンを使うことで、節税と資産温存のメリットが得られる可能性があります。

• 投資・資産運用に回す：借りた資金をさらに別の投資に活用することもできます。例えば有望な株式や不動産に投資したり、あるいは他の仮想通貨を買うこともできます。極端な例では、ビットコインを担保にUSDTを借りて、そのUSDTでまた別の仮想通貨を買い、それを運用益で返済する…といった戦略も理論上は可能です。ただし、借りたお金での投機はハイリスクなので慎重に！手堅い使い道としては、事業資金に充てるのも良いでしょう。例えば小さなオンラインビジネスを始めるための元手にしたり、新しい資格取得のための学費にするなど、自分への投資に使えば将来的なリターンでローンを返しつつ利益を上げることが期待できます。

• 急な支払いへの備え：人生何があるか分かりません。医療費や冠婚葬祭など急に現金が必要になる場面もあります。そんなとき、ビットコインをすぐ売ってしまうのは惜しい…という場合にローンで一時的にしのぐことができます。後で落ち着いてから返済すれば、大事なBTCを手放さずにピンチを乗り切れます。言わばデジタル質屋のような感覚で、ビットコインを預けてお金を工面し、後で買い戻す（返済する）イメージですね。日本でも昔から「質屋」で着物や宝石を預けてお金を借りる文化がありましたが、HodlHodl Lendはビットコイン版の質屋とも言えるでしょう。

• 市場の機会を逃さない：仮想通貨市場は変動が激しく、「今これを買いたいのに現金が無い！」というチャンスもあるでしょう。例えば「ビットコインが急落したから買い増したいが、現金が足りない」という場合、手持ちBTCを担保にしてステーブルコインを借り、その急落で安く買い増しする、といった動きもできます。そして後日価格が戻したところで返済すれば、差益を得つつBTC保有枚数も増やせるかもしれません。このようにローンを戦略的に使えば、市場の好機を掴む資金余力を生み出すことができます。ただしハイリスクな手法でもあるため、上級者向けではあります。

ここで覚えておきたいのは、「お金持ちは借金との付き合い方が上手い」という点です。日本では借金にネガティブな印象を持つ人も多いですが、世界的な資産家や大企業はしばしばあえて借金をして手元資金を他に活用しています。アメリカのベストセラー『金持ち父さん貧乏父さん』で有名なロバート・キヨサキ氏も「富裕層は他人のお金（借金）を利用してさらに富を築く」と強調しています。例えば彼は借金で高級車を買い、不動産投資にも借入を活用したそう (金持ちは貧乏人より借金が多い | 「金持ち父さん 貧乏父さん」日本オフィシャルサイト)❤️。借金を味方につけて資産運用すれば、自分の持ち出し資金を抑えつつ豊かな生活を実現できる可能性があります。

もちろん無計画な借金は禁物ですが、ローンを上手に使うことは決して悪いことではなく、むしろ経済的戦略として有効なのです。ビットコイン担保ローンはその新しい選択肢として、「お金にお金に働いてもらう」感覚を身につけるきっかけになるかもしれません。

高い金利でもローンを利用するのはなぜ？その理由と戦略

Lendのプラットフォームで提示される金利は、年利換算で見ると10〜15%程度が一つの目安 です。中にはそれ以上の利率の契約もあります。日本の銀行ローン（金利数％以下）と比べるとかなり高利に思えますが、それでも多くの人がこのサービスを利用してローンを組んでいます。なぜ高い利息を支払ってまで借りる価値があるのでしょうか？最後に、その理由と利用者の戦略について考えてみましょう。

• (1) ビットコインの期待リターンが高い：借り手にとって一番の動機は、「ビットコインは将来もっと値上がりするはずだから、多少利息を払っても売りたくない」というものです。例えば年利15%で$1000借りると一年後に$1150返す必要がありますが、もしビットコイン価格がその間に15%以上上昇すれば、利息分を差し引いても得をする計算になります。過去のビットコイン相場は年率ベースで大きく成長した年も多く、強気のホルダーほど利息より値上がり益を優先する傾向があります。「金利よりビットコインの価値上昇のほうが大きい」という自信が、高金利を払ってでも借りる動機になっているのです。

• (2) 課税や手数料の回避：先ほど述べたように、日本ではビットコインを売却すると高額の税金が発生する可能性があります。仮に30%〜50%の税金がかかるのであれば、年利10%前後のローンで済ませたほうがトクだという判断も成り立ちます。また、取引所で売却するときのスプレッドや出金手数料なども考えると、売却コストを回避する手段としてローンを選ぶ人もいます。要するに「売るくらいなら借りた方がマシ」という考え方ですね。

• (3) 自由と速さを優先：従来の金融機関からお金を借りるには時間がかかりますし、使途にも制限があることが多いです（事業資金なのか生活費なのか、といった審査があります）。それに対してHodlHodlのP2Pローンは使い道自由・即日資金調達が可能です。利息が高めでも「今すぐ○○がしたい」「明日までに現金が要る」といったニーズには代えられません。特に仮想通貨業界はスピード命ですから、チャンスを逃さないために高コストでも素早く借りるという選択が生まれます。

• (4) 借金＝時間を買うこと：あるユーザーの言葉を借りれば、「借金をすることは未来の時間を先取りすること」でもあります。例えば住宅ローンがあるからこそ若い世代でもマイホームに住めますし、事業ローンがあるからこそ企業は成長の機会を掴めます。ビットコイン担保ローンも同じで、「今はお金が無いけど将来増やすアテはある。だから今借りてしまおう」というケースもあるでしょう。将来の収入や資産増加を見込んで、時間を味方につけるためにあえて借金をするのです。日本語では「借金してでも◯◯する」という表現がありますが、前向きな借金は将来への投資とも言えるでしょう。

• (5) 非中央集権への支持：もう一つ見逃せないのは、HodlHodlのようなプラットフォームを利用する理由に思想的な支持があります。つまり「銀行や政府に頼らないお金の流れを実現したい」「ビットコインのエコシステムを活性化させたい」というビットコイナーたちです。多少コストが高くても、理念に共感して使っているケースもあります。匿名で自由にお金を借りられる世界を体験することで、金融システムの新たな可能性を感じているのです。

以上のように、高い金利にも関わらずローンを利用するのは明確なメリットや戦略があるからなのです。もちろん全ての人に当てはまるわけではありません。ビットコイン価格が下落局面ではリスクも伴いますし、利息分だけ損になる場合もあります。しかし、それらを理解した上で「自分のお金を働かせる」「資産を手放さずレバレッジを利かせる」手段として活用している人々が増えてきています。

最後に、HodlHodlの公式ブログの一文をご紹介します。

“私たちはビットコインこそがスーパーカ collateral（超優秀な担保）であり、利回りを得るために使うのではなく、それを担保に資金を借りるために使われるべきだと考えています" (The lending is dead, long live the lending | by Hodl Hodl | Hodl Hodl | Medium)。

ビットコイン時代の新しいお金の借り方・貸し方であるP2Pローン。最初は難しく感じるかもしれませんが、仕組みを理解すればとてもシンプルで強力なツールです。日本ではまだ馴染みが薄いかもしれませんが、匿名性を好み、コツコツ資産を増やすのが得意な人にこそフィットするサービスかもしれません。ぜひ少額から試し、自分なりの活用法を見つけてみてください。きっと新たな発見があるはずです。

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もしビットコイン担保のP2Pローンなどについてもっと深く知りたい、あるいは個別に相談してみたいと思えば、どうぞお気軽にご連絡ください。1対1のコンサルティングも承っています。

サービスには決まった料金はありませんが、ご相談を通じて「役に立った」と思い、お悩みや疑問を解決できたと感じていただけたら、「3つのT」でのご支援（Value for Value）をぜひご検討ください：

• 時間（Time）：この記事をSNSなどでシェアしていただくこと。
• 才能（Talent）：コメントや補足情報などを通じて知識を共有していただくこと。
• 宝（Treasure）：世界で最も健全なお金、ビットコインの最小単位「sats」でのご支援。

もちろん、支援の有無にかかわらず、お力になれればとても嬉しいです。 では、また次回！

yakihonne.com iris.to jumble.social Me

@ 52b4a076:e7fad8bd

2025-05-03 21:54:45

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.

yakihonne.com iris.to jumble.social Me

@ c9badfea:610f861a

2025-05-16 17:57:20

1. Install Lemuroid (it's free and open source)
2. Launch the app, enable notifications, and select a directory for your games (e.g. /Download/ROMs)
3. Download game ROMs and place them in the folder from the previous step (see links below)
4. Open Lemuroid again, navigate to the Home tab, and tap the downloaded game
5. Enjoy!

Some ROM Sources

• WowRoms
• Retrospot

ℹ️ An internet connection is only required when opening a game for the first time to download the emulator core per system (e.g. Gameboy or PS2)

ℹ️ Supported ROM file formats include .nes, .gba, .sfc, .gb, .iso, .bin, and .zip

ℹ️ You may need to extract downloaded ROM files if they are packaged as archives (e.g. .7z, .rar, or .zip)

yakihonne.com iris.to jumble.social Me

@ c1e9ab3a:9cb56b43

2025-05-01 17:29:18

High-Level Overview

Bitcoin developers are currently debating a proposed change to how Bitcoin Core handles the OP_RETURN opcode — a mechanism that allows users to insert small amounts of data into the blockchain. Specifically, the controversy revolves around removing built-in filters that limit how much data can be stored using this feature (currently capped at 80 bytes).

Summary of Both Sides

Position A: Remove OP_RETURN Filters

Advocates: nostr:npub1ej493cmun8y9h3082spg5uvt63jgtewneve526g7e2urca2afrxqm3ndrm, nostr:npub12rv5lskctqxxs2c8rf2zlzc7xx3qpvzs3w4etgemauy9thegr43sf485vg, nostr:npub17u5dneh8qjp43ecfxr6u5e9sjamsmxyuekrg2nlxrrk6nj9rsyrqywt4tp, others

Arguments: - Ineffectiveness of filters: Filters are easily bypassed and do not stop spam effectively. - Code simplification: Removing arbitrary limits reduces code complexity. - Permissionless innovation: Enables new use cases like cross-chain bridges and timestamping without protocol-level barriers. - Economic regulation: Fees should determine what data gets added to the blockchain, not protocol rules.

Position B: Keep OP_RETURN Filters

Advocates: nostr:npub1lh273a4wpkup00stw8dzqjvvrqrfdrv2v3v4t8pynuezlfe5vjnsnaa9nk, nostr:npub1s33sw6y2p8kpz2t8avz5feu2n6yvfr6swykrnm2frletd7spnt5qew252p, nostr:npub1wnlu28xrq9gv77dkevck6ws4euej4v568rlvn66gf2c428tdrptqq3n3wr, others

Arguments: - Historical intent: Satoshi included filters to keep Bitcoin focused on monetary transactions. - Resource protection: Helps prevent blockchain bloat and abuse from non-financial uses. - Network preservation: Protects the network from being overwhelmed by low-value or malicious data. - Social governance: Maintains conservative changes to ensure long-term robustness.

Strengths and Weaknesses

Strengths of Removing Filters

• Encourages decentralized innovation.
• Simplifies development and maintenance.
• Maintains ideological purity of a permissionless system.

Weaknesses of Removing Filters

• Opens the door to increased non-financial data and potential spam.
• May dilute Bitcoin’s core purpose as sound money.
• Risks short-term exploitation before economic filters adapt.

Strengths of Keeping Filters

• Preserves Bitcoin’s identity and original purpose.
• Provides a simple protective mechanism against abuse.
• Aligns with conservative development philosophy of Bitcoin Core.

Weaknesses of Keeping Filters

• Encourages central decision-making on allowed use cases.
• Leads to workarounds that may be less efficient or obscure.
• Discourages novel but legitimate applications.

Long-Term Consequences

If Filters Are Removed

• Positive: Potential boom in new applications, better interoperability, cleaner architecture.
• Negative: Risk of increased blockchain size, more bandwidth/storage costs, spam wars.

If Filters Are Retained

• Positive: Preserves monetary focus and operational discipline.
• Negative: Alienates developers seeking broader use cases, may ossify the protocol.

Conclusion

The debate highlights a core philosophical split in Bitcoin: whether it should remain a narrow monetary system or evolve into a broader data layer for decentralized applications. Both paths carry risks and tradeoffs. The outcome will shape not just Bitcoin's technical direction but its social contract and future role in the broader crypto ecosystem.

yakihonne.com iris.to jumble.social Me

@ a367f9eb:0633efea

2024-11-05 08:48:41

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.

yakihonne.com iris.to jumble.social Me

@ 9e69e420:d12360c2

2025-02-17 17:12:01

President Trump has intensified immigration enforcement, likening it to a wartime effort. Despite pouring resources into the U.S. Immigration and Customs Enforcement (ICE), arrest numbers are declining and falling short of goals. ICE fell from about 800 daily arrests in late January to fewer than 600 in early February.

Critics argue the administration is merely showcasing efforts with ineffectiveness, while Trump seeks billions more in funding to support his deportation agenda. Increased involvement from various federal agencies is intended to assist ICE, but many lack specific immigration training.

Challenges persist, as fewer immigrants are available for quick deportation due to a decline in illegal crossings. Local sheriffs are also pressured by rising demands to accommodate immigrants, which may strain resources further.

yakihonne.com iris.to jumble.social Me