@ daa41bed:88f54153

There has been a good bit of discussion on Nostr over the past few days about the merits of zaps as a method of engaging with notes, so after writing a rather lengthy [article on the pros of a strategic Bitcoin reserve](https://geek.npub.pro/post/dxqkgnjplttkvetprg8ox/), I wanted to take some time to chime in on the much more fun topic of digital engagement. Let's begin by defining a couple of things: **Nostr** is a decentralized, censorship-resistance protocol whose current biggest use case is social media (think Twitter/X). Instead of relying on company servers, it relies on relays that anyone can spin up and own their own content. Its use cases are much bigger, though, and this article is hosted on my own relay, using my own Nostr relay as an example. **Zap** is a tip or donation denominated in sats (small units of Bitcoin) sent from one user to another. This is generally done directly over the Lightning Network but is increasingly using Cashu tokens. For the sake of this discussion, how you transmit/receive zaps will be irrelevant, so don't worry if you don't know what [Lightning](https://lightning.network/) or [Cashu](https://cashu.space/) are. If we look at how users engage with posts and follows/followers on platforms like Twitter, Facebook, etc., it becomes evident that traditional social media thrives on engagement farming. The more outrageous a post, the more likely it will get a reaction. We see a version of this on more visual social platforms like YouTube and TikTok that use carefully crafted thumbnail images to grab the user's attention to click the video. If you'd like to dive deep into the psychology and science behind social media engagement, let me know, and I'd be happy to follow up with another article. In this user engagement model, a user is given the option to comment or like the original post, or share it among their followers to increase its signal. They receive no value from engaging with the content aside from the dopamine hit of the original experience or having their comment liked back by whatever influencer they provide value to. Ad revenue flows to the content creator. Clout flows to the content creator. Sales revenue from merch and content placement flows to the content creator. We call this a linear economy -- the idea that resources get created, used up, then thrown away. Users create content and farm as much engagement as possible, then the content is forgotten within a few hours as they move on to the next piece of content to be farmed. What if there were a simple way to give value back to those who engage with your content? By implementing some value-for-value model -- a circular economy. Enter zaps.  Unlike traditional social media platforms, Nostr does not actively use algorithms to determine what content is popular, nor does it push content created for active user engagement to the top of a user's timeline. Yes, there are "trending" and "most zapped" timelines that users can choose to use as their default, but these use relatively straightforward engagement metrics to rank posts for these timelines. That is not to say that we may not see clients actively seeking to refine timeline algorithms for specific metrics. Still, the beauty of having an open protocol with media that is controlled solely by its users is that users who begin to see their timeline gamed towards specific algorithms can choose to move to another client, and for those who are more tech-savvy, they can opt to run their own relays or create their own clients with personalized algorithms and web of trust scoring systems. Zaps enable the means to create a new type of social media economy in which creators can earn for creating content and users can earn by actively engaging with it. Like and reposting content is relatively frictionless and costs nothing but a simple button tap. Zaps provide active engagement because they signal to your followers and those of the content creator that this post has genuine value, quite literally in the form of money—sats.  I have seen some comments on Nostr claiming that removing likes and reactions is for wealthy people who can afford to send zaps and that the majority of people in the US and around the world do not have the time or money to zap because they have better things to spend their money like feeding their families and paying their bills. While at face value, these may seem like valid arguments, they, unfortunately, represent the brainwashed, defeatist attitude that our current economic (and, by extension, social media) systems aim to instill in all of us to continue extracting value from our lives. Imagine now, if those people dedicating their own time (time = money) to mine pity points on social media would instead spend that time with genuine value creation by posting content that is meaningful to cultural discussions. Imagine if, instead of complaining that their posts get no zaps and going on a tirade about how much of a victim they are, they would empower themselves to take control of their content and give value back to the world; where would that leave us? How much value could be created on a nascent platform such as Nostr, and how quickly could it overtake other platforms? Other users argue about user experience and that additional friction (i.e., zaps) leads to lower engagement, as proven by decades of studies on user interaction. While the added friction may turn some users away, does that necessarily provide less value? I argue quite the opposite. You haven't made a few sats from zaps with your content? Can't afford to send some sats to a wallet for zapping? How about using the most excellent available resource and spending 10 seconds of your time to leave a comment? Likes and reactions are valueless transactions. Social media's real value derives from providing monetary compensation and actively engaging in a conversation with posts you find interesting or thought-provoking. Remember when humans thrived on conversation and discussion for entertainment instead of simply being an onlooker of someone else's life? If you've made it this far, my only request is this: try only zapping and commenting as a method of engagement for two weeks. Sure, you may end up liking a post here and there, but be more mindful of how you interact with the world and break yourself from blind instinct. You'll thank me later. 

@ ec42c765:328c0600

# カスタム絵文字とは 任意のオリジナル画像を絵文字のように文中に挿入できる機能です。 また、リアクション（Twitterの いいね のような機能）にもカスタム絵文字を使えます。  # カスタム絵文字の対応状況（2025/02/06）  カスタム絵文字を使うためにはカスタム絵文字に対応した[クライアント](https://welcome.nostr-jp.org/tutorial/explore-client.html)を使う必要があります。 ※表は一例です。クライアントは他にもたくさんあります。 使っているクライアントが対応していない場合は、クライアントを変更する、対応するまで待つ、開発者に要望を送る（または自分で実装する）などしましょう。 #### 対応クライアント - [Amethyst](https://play.google.com/store/apps/details?id=com.vitorpamplona.amethyst) - [FreeFrom](https://freefrom.space/) - [nostter](https://nostter.app/) - [Rabbit](https://rabbit.syusui.net/) - [Lumilumi](https://lumilumi.app/) - [Nos Haiku](https://nos-haiku.vercel.app/) - [Snort](https://snort.social/) - [noStrudel](https://nostrudel.ninja/) ここではnostterを使って説明していきます。 # 準備 カスタム絵文字を使うための準備です。 - Nostrエクステンション（NIP-07）を導入する - 使いたいカスタム絵文字をリストに登録する ## Nostrエクステンション（NIP-07）を導入する Nostrエクステンションは使いたいカスタム絵文字を登録する時に必要になります。 また、環境（パソコン、iPhone、androidなど）によって導入方法が違います。 Nostrエクステンションを導入する端末は、実際にNostrを閲覧する端末と違っても構いません（リスト登録はPC、Nostr閲覧はiPhoneなど）。 Nostrエクステンション（NIP-07）の導入方法は以下のページを参照してください。 [ログイン拡張機能 (NIP-07)を使ってみよう | Welcome to Nostr! ～ Nostrをはじめよう！ ～ ](https://welcome.nostr-jp.org/tutorial/nip-07.html) 少し面倒ですが、これを導入しておくとNostr上の様々な場面で役立つのでより快適になります。 ## 使いたいカスタム絵文字をリストに登録する 以下のサイトで行います。 [emojito](https://emojito.meme/) 右上の**Get started**からNostrエクステンションでログインしてください。 例として以下のカスタム絵文字を導入してみます。 実際より絵文字が少なく表示されることがありますが、古い状態のデータを取得してしまっているためです。その場合はブラウザの更新ボタンを押してください。 [generalJP | カスタム絵文字](https://emojito.meme/a/naddr1qqykwetwv4exzmz22qqsuamnwvaz7tmev9382tndv5hsyg8vgtrk2svt8kuusk4l7w5g7j3mhet4xhhthhz52gsyr7jn9rqxqqpsgqqqw48qud6u3s)  - 右側の**Options**から**Bookmark**を選択  これでカスタム絵文字を使用するためのリストに登録できます。 # カスタム絵文字を使用する 例としてブラウザから使えるクライアント nostter から使用してみます。 [nostter](https://nostter.app/) nostterにNostrエクステンションでログイン、もしくは秘密鍵を入れてログインしてください。 ## 文章中に使用 1. **投稿**ボタンを押して投稿ウィンドウを表示 2. **顔😀**のボタンを押し、絵文字ウィンドウを表示 3. **＊タブ**を押し、カスタム絵文字一覧を表示 4. カスタム絵文字を選択 5. : 記号に挟まれたアルファベットのショートコードとして挿入される  この状態で投稿するとカスタム絵文字として表示されます。 カスタム絵文字対応クライアントを使っている他ユーザーにもカスタム絵文字として表示されます。 対応していないクライアントの場合、ショートコードのまま表示されます。  ショートコードを直接入力することでカスタム絵文字の候補が表示されるのでそこから選択することもできます。  ## リアクションに使用 1. 任意の投稿の**顔😀**のボタンを押し、絵文字ウィンドウを表示 2. **＊タブ**を押し、カスタム絵文字一覧を表示 3. カスタム絵文字を選択  カスタム絵文字リアクションを送ることができます。  # カスタム絵文字を探す 先述した[emojito](https://emojito.meme/)からカスタム絵文字を探せます。 例えば任意のユーザーのページ [emojito ロクヨウ](https://emojito.meme/p/npub1a3pvwe2p3v7mnjz6hle63r628wl9w567aw7u23fzqs062v5vqcqqu3sgh3) から探したり、 [emojito Browse all](https://emojito.meme/browse) からnostr全体で最近作成、更新された絵文字を見たりできます。 また、以下のリンクは日本語圏ユーザーが作ったカスタム絵文字を集めたリストです（2025/02/06） ※漏れがあるかもしれません [日本ユーザー作 カスタム絵文字](https://nostviewstr.vercel.app/npub17hczqvxtfv3w69wr6lxrttnpdekwdwel55mld60fr24zwjuu6utqtj8mjx/10030) 各絵文字セットにある**Open in emojito**のリンクからemojitoに飛び、使用リストに追加できます。 ----------- 以上です。 次：Nostrのカスタム絵文字の**作り方** Yakihonneリンク [Nostrのカスタム絵文字の作り方](https://yakihonne.com/article/_@lokuyow.github.io/1707912490439) Nostrリンク nostr:naddr1qqxnzdesxuunzv358ycrgveeqgswcsk8v4qck0deepdtluag3a9rh0jh2d0wh0w9g53qg8a9x2xqvqqrqsqqqa28r5psx3 ----------- # 仕様 [NIP-30 Custom Emoji](https://github.com/nostr-protocol/nips/blob/master/30.md) [NIP-30 カスタム絵文字（和訳）](https://github.com/nostr-jp/nips-ja/blob/main/30.md)

@ e3ba5e1a:5e433365

I got into a [friendly discussion](https://x.com/snoyberg/status/1887007888117252142) on X regarding health insurance. The specific question was how to deal with health insurance companies (presumably unfairly) denying claims? My answer, as usual: get government out of it! The US healthcare system is essentially the worst of both worlds: * Unlike full single payer, individuals incur high costs * Unlike a true free market, regulation causes increases in costs and decreases competition among insurers I'm firmly on the side of moving towards the free market. (And I say that as someone living under a single payer system now.) Here's what I would do: * Get rid of tax incentives that make health insurance tied to your employer, giving individuals back proper freedom of choice. * Reduce regulations significantly. * In the short term, some people will still get rejected claims and other obnoxious behavior from insurance companies. We address that in two ways: 1. Due to reduced regulations, new insurance companies will be able to enter the market offering more reliable coverage and better rates, and people will flock to them because they have the freedom to make their own choices. 2. Sue the asses off of companies that reject claims unfairly. And ideally, as one of the few legitimate roles of government in all this, institute new laws that limit the ability of fine print to allow insurers to escape their responsibilities. (I'm hesitant that the latter will happen due to the incestuous relationship between Congress/regulators and insurers, but I can hope.) Will this magically fix everything overnight like politicians normally promise? No. But it will allow the market to return to a healthy state. And I don't think it will take long (order of magnitude: 5-10 years) for it to come together, but that's just speculation. And since there's a high correlation between those who believe government can fix problems by taking more control and demanding that only credentialed experts weigh in on a topic (both points I strongly disagree with BTW): I'm a trained actuary and worked in the insurance industry, and have directly seen how government regulation reduces competition, raises prices, and harms consumers. And my final point: I don't think any prior art would be a good comparison for deregulation in the US, it's such a different market than any other country in the world for so many reasons that lessons wouldn't really translate. Nonetheless, I asked Grok for some empirical data on this, and at best the results of deregulation could be called "mixed," but likely more accurately "uncertain, confused, and subject to whatever interpretation anyone wants to apply." https://x.com/i/grok/share/Zc8yOdrN8lS275hXJ92uwq98M

@ 91bea5cd:1df4451c

### Definição de ULID: Timestamp 48 bits, Aleatoriedade 80 bits Sendo Timestamp 48 bits inteiro, tempo UNIX em milissegundos, Não ficará sem espaço até o ano 10889 d.C. e Aleatoriedade 80 bits, Fonte criptograficamente segura de aleatoriedade, se possível. #### Gerar ULID ```sql CREATE EXTENSION IF NOT EXISTS pgcrypto; CREATE FUNCTION generate_ulid() RETURNS TEXT AS $$ DECLARE -- Crockford's Base32 encoding BYTEA = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; timestamp BYTEA = E'\\000\\000\\000\\000\\000\\000'; output TEXT = ''; unix_time BIGINT; ulid BYTEA; BEGIN -- 6 timestamp bytes unix_time = (EXTRACT(EPOCH FROM CLOCK_TIMESTAMP()) * 1000)::BIGINT; timestamp = SET_BYTE(timestamp, 0, (unix_time >> 40)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 1, (unix_time >> 32)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 2, (unix_time >> 24)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 3, (unix_time >> 16)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 4, (unix_time >> 8)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 5, unix_time::BIT(8)::INTEGER); -- 10 entropy bytes ulid = timestamp || gen_random_bytes(10); -- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 1) & 7) << 2) | ((GET_BYTE(ulid, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 2) & 1) << 4) | ((GET_BYTE(ulid, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 3) & 15) << 1) | ((GET_BYTE(ulid, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 4) & 3) << 3) | ((GET_BYTE(ulid, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 5) & 31))); -- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 6) & 7) << 2) | ((GET_BYTE(ulid, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 7) & 1) << 4) | ((GET_BYTE(ulid, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 8) & 15) << 1) | ((GET_BYTE(ulid, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 9) & 3) << 3) | ((GET_BYTE(ulid, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 11) & 7) << 2) | ((GET_BYTE(ulid, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 12) & 1) << 4) | ((GET_BYTE(ulid, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 13) & 15) << 1) | ((GET_BYTE(ulid, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 14) & 3) << 3) | ((GET_BYTE(ulid, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 15) & 31))); RETURN output; END $$ LANGUAGE plpgsql VOLATILE; ``` #### ULID TO UUID ```sql CREATE OR REPLACE FUNCTION parse_ulid(ulid text) RETURNS bytea AS $$ DECLARE -- 16byte bytes bytea = E'\\x00000000 00000000 00000000 00000000'; v char[]; -- Allow for O(1) lookup of index values dec integer[] = ARRAY[ 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 255, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31 ]; BEGIN IF NOT ulid ~* '^[0-7][0-9ABCDEFGHJKMNPQRSTVWXYZ]{25}$' THEN RAISE EXCEPTION 'Invalid ULID: %', ulid; END IF; v = regexp_split_to_array(ulid, ''); -- 6 bytes timestamp (48 bits) bytes = SET_BYTE(bytes, 0, (dec[ASCII(v[1])] << 5) | dec[ASCII(v[2])]); bytes = SET_BYTE(bytes, 1, (dec[ASCII(v[3])] << 3) | (dec[ASCII(v[4])] >> 2)); bytes = SET_BYTE(bytes, 2, (dec[ASCII(v[4])] << 6) | (dec[ASCII(v[5])] << 1) | (dec[ASCII(v[6])] >> 4)); bytes = SET_BYTE(bytes, 3, (dec[ASCII(v[6])] << 4) | (dec[ASCII(v[7])] >> 1)); bytes = SET_BYTE(bytes, 4, (dec[ASCII(v[7])] << 7) | (dec[ASCII(v[8])] << 2) | (dec[ASCII(v[9])] >> 3)); bytes = SET_BYTE(bytes, 5, (dec[ASCII(v[9])] << 5) | dec[ASCII(v[10])]); -- 10 bytes of entropy (80 bits); bytes = SET_BYTE(bytes, 6, (dec[ASCII(v[11])] << 3) | (dec[ASCII(v[12])] >> 2)); bytes = SET_BYTE(bytes, 7, (dec[ASCII(v[12])] << 6) | (dec[ASCII(v[13])] << 1) | (dec[ASCII(v[14])] >> 4)); bytes = SET_BYTE(bytes, 8, (dec[ASCII(v[14])] << 4) | (dec[ASCII(v[15])] >> 1)); bytes = SET_BYTE(bytes, 9, (dec[ASCII(v[15])] << 7) | (dec[ASCII(v[16])] << 2) | (dec[ASCII(v[17])] >> 3)); bytes = SET_BYTE(bytes, 10, (dec[ASCII(v[17])] << 5) | dec[ASCII(v[18])]); bytes = SET_BYTE(bytes, 11, (dec[ASCII(v[19])] << 3) | (dec[ASCII(v[20])] >> 2)); bytes = SET_BYTE(bytes, 12, (dec[ASCII(v[20])] << 6) | (dec[ASCII(v[21])] << 1) | (dec[ASCII(v[22])] >> 4)); bytes = SET_BYTE(bytes, 13, (dec[ASCII(v[22])] << 4) | (dec[ASCII(v[23])] >> 1)); bytes = SET_BYTE(bytes, 14, (dec[ASCII(v[23])] << 7) | (dec[ASCII(v[24])] << 2) | (dec[ASCII(v[25])] >> 3)); bytes = SET_BYTE(bytes, 15, (dec[ASCII(v[25])] << 5) | dec[ASCII(v[26])]); RETURN bytes; END $$ LANGUAGE plpgsql IMMUTABLE; CREATE OR REPLACE FUNCTION ulid_to_uuid(ulid text) RETURNS uuid AS $$ BEGIN RETURN encode(parse_ulid(ulid), 'hex')::uuid; END $$ LANGUAGE plpgsql IMMUTABLE; ``` #### UUID to ULID ```sql CREATE OR REPLACE FUNCTION uuid_to_ulid(id uuid) RETURNS text AS $$ DECLARE encoding bytea = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; output text = ''; uuid_bytes bytea = uuid_send(id); BEGIN -- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 1) & 7) << 2) | ((GET_BYTE(uuid_bytes, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 2) & 1) << 4) | ((GET_BYTE(uuid_bytes, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 3) & 15) << 1) | ((GET_BYTE(uuid_bytes, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 4) & 3) << 3) | ((GET_BYTE(uuid_bytes, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 5) & 31))); -- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 6) & 7) << 2) | ((GET_BYTE(uuid_bytes, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 7) & 1) << 4) | ((GET_BYTE(uuid_bytes, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 8) & 15) << 1) | ((GET_BYTE(uuid_bytes, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 9) & 3) << 3) | ((GET_BYTE(uuid_bytes, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 11) & 7) << 2) | ((GET_BYTE(uuid_bytes, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 12) & 1) << 4) | ((GET_BYTE(uuid_bytes, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 13) & 15) << 1) | ((GET_BYTE(uuid_bytes, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 14) & 3) << 3) | ((GET_BYTE(uuid_bytes, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 15) & 31))); RETURN output; END $$ LANGUAGE plpgsql IMMUTABLE; ``` #### Gera 11 Digitos aleatórios: YBKXG0CKTH4 ```sql -- Cria a extensão pgcrypto para gerar uuid CREATE EXTENSION IF NOT EXISTS pgcrypto; -- Cria a função para gerar ULID CREATE OR REPLACE FUNCTION gen_lrandom() RETURNS TEXT AS $$ DECLARE ts_millis BIGINT; ts_chars TEXT; random_bytes BYTEA; random_chars TEXT; base32_chars TEXT := '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; i INT; BEGIN -- Pega o timestamp em milissegundos ts_millis := FLOOR(EXTRACT(EPOCH FROM clock_timestamp()) * 1000)::BIGINT; -- Converte o timestamp para base32 ts_chars := ''; FOR i IN REVERSE 0..11 LOOP ts_chars := ts_chars || substr(base32_chars, ((ts_millis >> (5 * i)) & 31) + 1, 1); END LOOP; -- Gera 10 bytes aleatórios e converte para base32 random_bytes := gen_random_bytes(10); random_chars := ''; FOR i IN 0..9 LOOP random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) >> 3) & 31) + 1, 1); IF i < 9 THEN random_chars := random_chars || substr(base32_chars, (((get_byte(random_bytes, i) & 7) << 2) | (get_byte(random_bytes, i + 1) >> 6)) & 31 + 1, 1); ELSE random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) & 7) << 2) + 1, 1); END IF; END LOOP; -- Concatena o timestamp e os caracteres aleatórios RETURN ts_chars || random_chars; END; $$ LANGUAGE plpgsql; ``` #### Exemplo de USO ```sql -- Criação da extensão caso não exista CREATE EXTENSION IF NOT EXISTS pgcrypto; -- Criação da tabela pessoas CREATE TABLE pessoas ( ID UUID DEFAULT gen_random_uuid ( ) PRIMARY KEY, nome TEXT NOT NULL ); -- Busca Pessoa na tabela SELECT * FROM "pessoas" WHERE uuid_to_ulid ( ID ) = '252FAC9F3V8EF80SSDK8PXW02F'; ``` ### Fontes - https://github.com/scoville/pgsql-ulid - https://github.com/geckoboard/pgulid

@ 91bea5cd:1df4451c

### Definição de ULID: Timestamp 48 bits, Aleatoriedade 80 bits Sendo Timestamp 48 bits inteiro, tempo UNIX em milissegundos, Não ficará sem espaço até o ano 10889 d.C. e Aleatoriedade 80 bits, Fonte criptograficamente segura de aleatoriedade, se possível. #### Gerar ULID ```sql CREATE EXTENSION IF NOT EXISTS pgcrypto; CREATE FUNCTION generate_ulid() RETURNS TEXT AS $$ DECLARE -- Crockford's Base32 encoding BYTEA = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; timestamp BYTEA = E'\\000\\000\\000\\000\\000\\000'; output TEXT = ''; unix_time BIGINT; ulid BYTEA; BEGIN -- 6 timestamp bytes unix_time = (EXTRACT(EPOCH FROM CLOCK_TIMESTAMP()) * 1000)::BIGINT; timestamp = SET_BYTE(timestamp, 0, (unix_time >> 40)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 1, (unix_time >> 32)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 2, (unix_time >> 24)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 3, (unix_time >> 16)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 4, (unix_time >> 8)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 5, unix_time::BIT(8)::INTEGER); -- 10 entropy bytes ulid = timestamp || gen_random_bytes(10); -- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 1) & 7) << 2) | ((GET_BYTE(ulid, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 2) & 1) << 4) | ((GET_BYTE(ulid, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 3) & 15) << 1) | ((GET_BYTE(ulid, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 4) & 3) << 3) | ((GET_BYTE(ulid, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 5) & 31))); -- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 6) & 7) << 2) | ((GET_BYTE(ulid, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 7) & 1) << 4) | ((GET_BYTE(ulid, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 8) & 15) << 1) | ((GET_BYTE(ulid, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 9) & 3) << 3) | ((GET_BYTE(ulid, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 11) & 7) << 2) | ((GET_BYTE(ulid, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 12) & 1) << 4) | ((GET_BYTE(ulid, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 13) & 15) << 1) | ((GET_BYTE(ulid, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 14) & 3) << 3) | ((GET_BYTE(ulid, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 15) & 31))); RETURN output; END $$ LANGUAGE plpgsql VOLATILE; ``` #### ULID TO UUID ```sql CREATE OR REPLACE FUNCTION parse_ulid(ulid text) RETURNS bytea AS $$ DECLARE -- 16byte bytes bytea = E'\\x00000000 00000000 00000000 00000000'; v char[]; -- Allow for O(1) lookup of index values dec integer[] = ARRAY[ 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 255, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31 ]; BEGIN IF NOT ulid ~* '^[0-7][0-9ABCDEFGHJKMNPQRSTVWXYZ]{25}$' THEN RAISE EXCEPTION 'Invalid ULID: %', ulid; END IF; v = regexp_split_to_array(ulid, ''); -- 6 bytes timestamp (48 bits) bytes = SET_BYTE(bytes, 0, (dec[ASCII(v[1])] << 5) | dec[ASCII(v[2])]); bytes = SET_BYTE(bytes, 1, (dec[ASCII(v[3])] << 3) | (dec[ASCII(v[4])] >> 2)); bytes = SET_BYTE(bytes, 2, (dec[ASCII(v[4])] << 6) | (dec[ASCII(v[5])] << 1) | (dec[ASCII(v[6])] >> 4)); bytes = SET_BYTE(bytes, 3, (dec[ASCII(v[6])] << 4) | (dec[ASCII(v[7])] >> 1)); bytes = SET_BYTE(bytes, 4, (dec[ASCII(v[7])] << 7) | (dec[ASCII(v[8])] << 2) | (dec[ASCII(v[9])] >> 3)); bytes = SET_BYTE(bytes, 5, (dec[ASCII(v[9])] << 5) | dec[ASCII(v[10])]); -- 10 bytes of entropy (80 bits); bytes = SET_BYTE(bytes, 6, (dec[ASCII(v[11])] << 3) | (dec[ASCII(v[12])] >> 2)); bytes = SET_BYTE(bytes, 7, (dec[ASCII(v[12])] << 6) | (dec[ASCII(v[13])] << 1) | (dec[ASCII(v[14])] >> 4)); bytes = SET_BYTE(bytes, 8, (dec[ASCII(v[14])] << 4) | (dec[ASCII(v[15])] >> 1)); bytes = SET_BYTE(bytes, 9, (dec[ASCII(v[15])] << 7) | (dec[ASCII(v[16])] << 2) | (dec[ASCII(v[17])] >> 3)); bytes = SET_BYTE(bytes, 10, (dec[ASCII(v[17])] << 5) | dec[ASCII(v[18])]); bytes = SET_BYTE(bytes, 11, (dec[ASCII(v[19])] << 3) | (dec[ASCII(v[20])] >> 2)); bytes = SET_BYTE(bytes, 12, (dec[ASCII(v[20])] << 6) | (dec[ASCII(v[21])] << 1) | (dec[ASCII(v[22])] >> 4)); bytes = SET_BYTE(bytes, 13, (dec[ASCII(v[22])] << 4) | (dec[ASCII(v[23])] >> 1)); bytes = SET_BYTE(bytes, 14, (dec[ASCII(v[23])] << 7) | (dec[ASCII(v[24])] << 2) | (dec[ASCII(v[25])] >> 3)); bytes = SET_BYTE(bytes, 15, (dec[ASCII(v[25])] << 5) | dec[ASCII(v[26])]); RETURN bytes; END $$ LANGUAGE plpgsql IMMUTABLE; CREATE OR REPLACE FUNCTION ulid_to_uuid(ulid text) RETURNS uuid AS $$ BEGIN RETURN encode(parse_ulid(ulid), 'hex')::uuid; END $$ LANGUAGE plpgsql IMMUTABLE; ``` #### UUID to ULID ```sql CREATE OR REPLACE FUNCTION uuid_to_ulid(id uuid) RETURNS text AS $$ DECLARE encoding bytea = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; output text = ''; uuid_bytes bytea = uuid_send(id); BEGIN -- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 1) & 7) << 2) | ((GET_BYTE(uuid_bytes, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 2) & 1) << 4) | ((GET_BYTE(uuid_bytes, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 3) & 15) << 1) | ((GET_BYTE(uuid_bytes, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 4) & 3) << 3) | ((GET_BYTE(uuid_bytes, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 5) & 31))); -- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 6) & 7) << 2) | ((GET_BYTE(uuid_bytes, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 7) & 1) << 4) | ((GET_BYTE(uuid_bytes, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 8) & 15) << 1) | ((GET_BYTE(uuid_bytes, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 9) & 3) << 3) | ((GET_BYTE(uuid_bytes, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 11) & 7) << 2) | ((GET_BYTE(uuid_bytes, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 12) & 1) << 4) | ((GET_BYTE(uuid_bytes, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 13) & 15) << 1) | ((GET_BYTE(uuid_bytes, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 14) & 3) << 3) | ((GET_BYTE(uuid_bytes, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 15) & 31))); RETURN output; END $$ LANGUAGE plpgsql IMMUTABLE; ``` #### Gera 11 Digitos aleatórios: YBKXG0CKTH4 ```sql -- Cria a extensão pgcrypto para gerar uuid CREATE EXTENSION IF NOT EXISTS pgcrypto; -- Cria a função para gerar ULID CREATE OR REPLACE FUNCTION gen_lrandom() RETURNS TEXT AS $$ DECLARE ts_millis BIGINT; ts_chars TEXT; random_bytes BYTEA; random_chars TEXT; base32_chars TEXT := '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; i INT; BEGIN -- Pega o timestamp em milissegundos ts_millis := FLOOR(EXTRACT(EPOCH FROM clock_timestamp()) * 1000)::BIGINT; -- Converte o timestamp para base32 ts_chars := ''; FOR i IN REVERSE 0..11 LOOP ts_chars := ts_chars || substr(base32_chars, ((ts_millis >> (5 * i)) & 31) + 1, 1); END LOOP; -- Gera 10 bytes aleatórios e converte para base32 random_bytes := gen_random_bytes(10); random_chars := ''; FOR i IN 0..9 LOOP random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) >> 3) & 31) + 1, 1); IF i < 9 THEN random_chars := random_chars || substr(base32_chars, (((get_byte(random_bytes, i) & 7) << 2) | (get_byte(random_bytes, i + 1) >> 6)) & 31 + 1, 1); ELSE random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) & 7) << 2) + 1, 1); END IF; END LOOP; -- Concatena o timestamp e os caracteres aleatórios RETURN ts_chars || random_chars; END; $$ LANGUAGE plpgsql; ``` #### Exemplo de USO ```sql -- Criação da extensão caso não exista CREATE EXTENSION IF NOT EXISTS pgcrypto; -- Criação da tabela pessoas CREATE TABLE pessoas ( ID UUID DEFAULT gen_random_uuid ( ) PRIMARY KEY, nome TEXT NOT NULL ); -- Busca Pessoa na tabela SELECT * FROM "pessoas" WHERE uuid_to_ulid ( ID ) = '252FAC9F3V8EF80SSDK8PXW02F'; ``` ### Fontes - https://github.com/scoville/pgsql-ulid - https://github.com/geckoboard/pgulid

@ e3ba5e1a:5e433365

President Trump has started rolling out his tariffs, something I [blogged about in November](https://www.snoyman.com/blog/2024/11/steelmanning-tariffs/). People are talking about these tariffs a lot right now, with many people (correctly) commenting on how consumers will end up with higher prices as a result of these tariffs. While that part is true, I’ve seen a lot of people taking it to the next, incorrect step: that consumers will pay the entirety of the tax. I [put up a poll on X](https://x.com/snoyberg/status/1886035800019599808) to see what people thought, and while the right answer got a lot of votes, it wasn't the winner.  For purposes of this blog post, our ultimate question will be the following: * Suppose apples currently sell for $1 each in the entire United States. * There are domestic sellers and foreign sellers of apples, all receiving the same price. * There are no taxes or tariffs on the purchase of apples. * The question is: if the US federal government puts a $0.50 import tariff per apple, what will be the change in the following: * Number of apples bought in the US * Price paid by buyers for apples in the US * Post-tax price received by domestic apple producers * Post-tax price received by foreign apple producers Before we can answer that question, we need to ask an easier, first question: before instituting the tariff, why do apples cost $1? And finally, before we dive into the details, let me provide you with the answers to the ultimate question. I recommend you try to guess these answers before reading this, and if you get it wrong, try to understand why: 1. The number of apples bought will go down 2. The buyers will pay more for each apple they buy, but not the full amount of the tariff 3. Domestic apple sellers will receive a *higher* price per apple 4. Foreign apple sellers will receive a *lower* price per apple, but not lowered by the full amount of the tariff In other words, regardless of who sends the payment to the government, both taxed parties (domestic buyers and foreign sellers) will absorb some of the costs of the tariff, while domestic sellers will benefit from the protectionism provided by tariffs and be able to sell at a higher price per unit. ## Marginal benefit All of the numbers discussed below are part of a [helper Google Sheet](https://docs.google.com/spreadsheets/d/14ZbkWpw1B9Q1UDB9Yh47DmdKQfIafVVBKbDUsSIfGZw/edit?usp=sharing) I put together for this analysis. Also, apologies about the jagged lines in the charts below, I hadn’t realized before starting on this that there are [some difficulties with creating supply and demand charts in Google Sheets](https://superuser.com/questions/1359731/how-to-create-a-supply-demand-style-chart). Let’s say I absolutely love apples, they’re my favorite food. How much would I be willing to pay for a single apple? You might say “$1, that’s the price in the supermarket,” and in many ways you’d be right. If I walk into supermarket A, see apples on sale for $50, and know that I can buy them at supermarket B for $1, I’ll almost certainly leave A and go buy at B. But that’s not what I mean. What I mean is: how high would the price of apples have to go *everywhere* so that I’d no longer be willing to buy a single apple? This is a purely personal, subjective opinion. It’s impacted by how much money I have available, other expenses I need to cover, and how much I like apples. But let’s say the number is $5. How much would I be willing to pay for another apple? Maybe another $5. But how much am I willing to pay for the 1,000th apple? 10,000th? At some point, I’ll get sick of apples, or run out of space to keep the apples, or not be able to eat, cook, and otherwise preserve all those apples before they rot. The point being: I’ll be progressively willing to spend less and less money for each apple. This form of analysis is called *marginal benefit*: how much benefit (expressed as dollars I’m willing to spend) will I receive from each apple? This is a downward sloping function: for each additional apple I buy (quantity demanded), the price I’m willing to pay goes down. This is what gives my personal *demand curve*. And if we aggregate demand curves across all market participants (meaning: everyone interested in buying apples), we end up with something like this:  Assuming no changes in people’s behavior and other conditions in the market, this chart tells us how many apples will be purchased by our buyers at each price point between $0.50 and $5. And ceteris paribus (all else being equal), this will continue to be the demand curve for apples. ## Marginal cost Demand is half the story of economics. The other half is supply, or: how many apples will I sell at each price point? Supply curves are upward sloping: the higher the price, the more a person or company is willing and able to sell a product. Let’s understand why. Suppose I have an apple orchard. It’s a large property right next to my house. With about 2 minutes of effort, I can walk out of my house, find the nearest tree, pick 5 apples off the tree, and call it a day. 5 apples for 2 minutes of effort is pretty good, right? Yes, there was all the effort necessary to buy the land, and plant the trees, and water them… and a bunch more than I likely can’t even guess at. We’re going to ignore all of that for our analysis, because for short-term supply-and-demand movement, we can ignore these kinds of *sunk costs*. One other simplification: in reality, supply curves often start descending before ascending. This accounts for achieving efficiencies of scale after the first number of units purchased. But since both these topics are unneeded for understanding taxes, I won’t go any further. Anyway, back to my apple orchard. If someone offers me $0.50 per apple, I can do 2 minutes of effort and get $2.50 in revenue, which equates to a $75/hour wage for me. I’m more than happy to pick apples at that price\! However, let’s say someone comes to buy 10,000 apples from me instead. I no longer just walk out to my nearest tree. I’m going to need to get in my truck, drive around, spend the day in the sun, pay for gas, take a day off of my day job (let’s say it pays me $70/hour). The costs go up significantly. Let’s say it takes 5 days to harvest all those apples myself, it costs me $100 in fuel and other expenses, and I lose out on my $70/hour job for 5 days. We end up with: * Total expenditure: $100 \+ $70 \* 8 hours a day \* 5 days \== $2900 * Total revenue: $5000 (10,000 apples at $0.50 each) * Total profit: $2100 So I’m still willing to sell the apples at this price, but it’s not as attractive as before. And as the number of apples purchased goes up, my costs keep increasing. I’ll need to spend more money on fuel to travel more of my property. At some point I won’t be able to do the work myself anymore, so I’ll need to pay others to work on the farm, and they’ll be slower at picking apples than me (less familiar with the property, less direct motivation, etc.). The point being: at some point, the number of apples can go high enough that the $0.50 price point no longer makes me any money. This kind of analysis is called *marginal cost*. It refers to the additional amount of expenditure a seller has to spend in order to produce each additional unit of the good. Marginal costs go up as quantity sold goes up. And like demand curves, if you aggregate this data across all sellers, you get a supply curve like this:  ## Equilibrium price We now know, for every price point, how many apples buyers will purchase, and how many apples sellers will sell. Now we find the equilibrium: where the supply and demand curves meet. This point represents where the marginal benefit a buyer would receive from the next buyer would be less than the cost it would take the next seller to make it. Let’s see it in a chart:  You’ll notice that these two graphs cross at the $1 price point, where 63 apples are both demanded (bought by consumers) and supplied (sold by producers). This is our equilibrium price. We also have a visualization of the *surplus* created by these trades. Everything to the left of the equilibrium point and between the supply and demand curves represents surplus: an area where someone is receiving something of more value than they give. For example: * When I bought my first apple for $1, but I was willing to spend $5, I made $4 of consumer surplus. The consumer portion of the surplus is everything to the left of the equilibrium point, between the supply and demand curves, and above the equilibrium price point. * When a seller sells his first apple for $1, but it only cost $0.50 to produce it, the seller made $0.50 of producer surplus. The producer portion of the surplus is everything to the left of the equilibrium point, between the supply and demand curves, and below the equilibrium price point. Another way of thinking of surplus is “every time someone got a better price than they would have been willing to take.” OK, with this in place, we now have enough information to figure out how to price in the tariff, which we’ll treat as a negative externality. ## Modeling taxes Alright, the government has now instituted a $0.50 tariff on every apple sold within the US by a foreign producer. We can generally model taxes by either increasing the marginal cost of each unit sold (shifting the supply curve up), or by decreasing the marginal benefit of each unit bought (shifting the demand curve down). In this case, since only some of the producers will pay the tax, it makes more sense to modify the supply curve. First, let’s see what happens to the foreign seller-only supply curve when you add in the tariff:  With the tariff in place, for each quantity level, the price at which the seller will sell is $0.50 higher than before the tariff. That makes sense: if I was previously willing to sell my 82nd apple for $3, I would now need to charge $3.50 for that apple to cover the cost of the tariff. We see this as the tariff “pushing up” or “pushing left” the original supply curve. We can add this new supply curve to our existing (unchanged) supply curve for domestic-only sellers, and we end up with a result like this:  The total supply curve adds up the individual foreign and domestic supply curves. At each price point, we add up the total quantity each group would be willing to sell to determine the total quantity supplied for each price point. Once we have that cumulative supply curve defined, we can produce an updated supply-and-demand chart including the tariff:  As we can see, the equilibrium has shifted: * The equilibrium price paid by consumers has risen from $1 to $1.20. * The total number of apples purchased has dropped from 63 apples to 60 apples. * Consumers therefore received 3 less apples. They spent $72 for these 60 apples, whereas previously they spent $63 for 3 more apples, a definite decrease in consumer surplus. * Foreign producers sold 36 of those apples (see the raw data in the linked Google Sheet), for a gross revenue of $43.20. However, they also need to pay the tariff to the US government, which accounts for $18, meaning they only receive $25.20 post-tariff. Previously, they sold 42 apples at $1 each with no tariff to be paid, meaning they took home $42. * Domestic producers sold the remaining 24 apples at $1.20, giving them a revenue of $28.80. Since they don’t pay the tariff, they take home all of that money. By contrast, previously, they sold 21 apples at $1, for a take-home of $21. * The government receives $0.50 for each of the 60 apples sold, or in other words receives $30 in revenue it wouldn’t have received otherwise. We could be more specific about the surpluses, and calculate the actual areas for consumer surplus, producer surplus, inefficiency from the tariff, and government revenue from the tariff. But I won’t bother, as those calculations get slightly more involved. Instead, let’s just look at the aggregate outcomes: * Consumers were unquestionably hurt. Their price paid went up by $0.20 per apple, and received less apples. * Foreign producers were also hurt. Their price received went down from the original $1 to the new post-tariff price of $1.20, minus the $0.50 tariff. In other words: foreign producers only receive $0.70 per apple now. This hurt can be mitigated by shifting sales to other countries without a tariff, but the pain will exist regardless. * Domestic producers scored. They can sell less apples and make more revenue doing it. * And the government walked away with an extra $30. Hopefully you now see the answer to the original questions. Importantly, while the government imposed a $0.50 tariff, neither side fully absorbed that cost. Consumers paid a bit more, foreign producers received a bit less. The exact details of how that tariff was split across the groups is mediated by the relevant supply and demand curves of each group. If you want to learn more about this, the relevant search term is “price elasticity,” or how much a group’s quantity supplied or demanded will change based on changes in the price. ## Other taxes Most taxes are some kind of a tax on trade. Tariffs on apples is an obvious one. But the same applies to income tax (taxing the worker for the trade of labor for money) or payroll tax (same thing, just taxing the employer instead). Interestingly, you can use the same model for analyzing things like tax incentives. For example, if the government decided to subsidize domestic apple production by giving the domestic producers a $0.50 bonus for each apple they sell, we would end up with a similar kind of analysis, except instead of the foreign supply curve shifting up, we’d see the domestic supply curve shifting down. And generally speaking, this is what you’ll *always* see with government involvement in the economy. It will result in disrupting an existing equilibrium, letting the market readjust to a new equilibrium, and incentivization of some behavior, causing some people to benefit and others to lose out. We saw with the apple tariff, domestic producers and the government benefited while others lost. You can see the reverse though with tax incentives. If I give a tax incentive of providing a deduction (not paying income tax) for preschool, we would end up with: * Government needs to make up the difference in tax revenue, either by raising taxes on others or printing more money (leading to inflation). Either way, those paying the tax or those holding government debased currency will pay a price. * Those people who don’t use the preschool deduction will receive no benefit, so they simply pay a cost. * Those who do use the preschool deduction will end up paying less on tax+preschool than they would have otherwise. This analysis is fully amoral. It’s not saying whether providing subsidized preschool is a good thing or not, it simply tells you where the costs will be felt, and points out that such government interference in free economic choice does result in inefficiencies in the system. Once you have that knowledge, you’re more well educated on making a decision about whether the costs of government intervention are worth the benefits.

@ b17fccdf:b7211155

#### **Next new resources about the MiniBolt guide have been released**: --- * 🆕 **Roadmap**: [LINK](https://github.com/orgs/minibolt-guide/projects/1) * 🆕 **Dynamic Network map**: [LINK](https://app.diagrams.net/?tags={}&lightbox=1&target=blank&highlight=0000ff&edit=_blank&layers=1&nav=1&title=networkmap.drawio.png#Uhttps://raw.githubusercontent.com/minibolt-guide/minibolt/main/resources/networkmap.drawio.png) * 🆕 **Nostr community**: [LINK](https://habla.news/c/[n]addr1qqyy66twd9px7mr5qyf8wumn8ghj7mmxve3ksctfdch8qatzqgstzl7vmurm5gu87qutx3pxwgxddrg39huj809zhmv03scfkus3z4grqsqqpphk2j0aff) < ~ REMOVE the "[]" symbols from the URL (naddr...) to access * 🆕 **Linktr FOSS** (UC) by [Gzuuus](nostr:npub1gzuushllat7pet0ccv9yuhygvc8ldeyhrgxuwg744dn5khnpk3gs3ea5ds): [LINK](https://linktr.minibolt.info) * 🆕 **Donate webpage**: 🚾 [Clearnet LINK](https://donate.minibolt.info) || 🧅 [Onion LINK](http://3iqm7nidexns5p6wmgc23ibgiscm6rge7hwyeziviwgav4fl7xui4mqd.onion/apps/Li3AtEGDsqNmNddv6rX69taidm3/pos) * 🆕 **Contact email**: [hello@minibolt.info](mailto:hello@minibolt.info) --- Enjoy it MiniBolter! 💙

@ 9e69e420:d12360c2

 Federal employees must remove pronouns from email signatures by the end of the day. This directive comes from internal memos tied to two executive orders signed by Donald Trump. The orders target diversity and equity programs within the government.  CDC, Department of Transportation, and Department of Energy employees were affected. Staff were instructed to make changes in line with revised policy prohibiting certain language. One CDC employee shared frustration, stating, “In my decade-plus years at CDC, I've never been told what I can and can't put in my email signature.” The directive is part of a broader effort to eliminate DEI initiatives from federal discourse.

@ ec42c765:328c0600

test test

@ ec42c765:328c0600

test

@ 97c70a44:ad98e322

There was a slight dust up recently over a website someone runs removing a listing for an app someone built based on entirely arbitrary criteria. I'm not to going to attempt to speak for either wounded party, but I would like to share my own personal definition for what constitutes a "nostr app" in an effort to help clarify what might be an otherwise confusing and opaque purity test. In this post, I will be committing the "no true Scotsman" fallacy, in which I start with the most liberal definition I can come up with, and gradually refine it until all that is left is the purest, gleamingest, most imaginary and unattainable nostr app imaginable. As I write this, I wonder if anything built yet will actually qualify. In any case, here we go. # It uses nostr The lowest bar for what a "nostr app" might be is an app ("application" - i.e. software, not necessarily a native app of any kind) that has some nostr-specific code in it, but which doesn't take any advantage of what makes nostr distinctive as a protocol. Examples might include a scraper of some kind which fulfills its charter by fetching data from relays (regardless of whether it validates or retains signatures). Another might be a regular web 2.0 app which provides an option to "log in with nostr" by requesting and storing the user's public key. In either case, the fact that nostr is involved is entirely neutral. A scraper can scrape html, pdfs, jsonl, whatever data source - nostr relays are just another target. Likewise, a user's key in this scenario is treated merely as an opaque identifier, with no appreciation for the super powers it brings along. In most cases, this kind of app only exists as a marketing ploy, or less cynically, because it wants to get in on the hype of being a "nostr app", without the developer quite understanding what that means, or having the budget to execute properly on the claim. # It leverages nostr Some of you might be wondering, "isn't 'leverage' a synonym for 'use'?" And you would be right, but for one connotative difference. It's possible to "use" something improperly, but by definition leverage gives you a mechanical advantage that you wouldn't otherwise have. This is the second category of "nostr app". This kind of app gets some benefit out of the nostr protocol and network, but in an entirely selfish fashion. The intention of this kind of app is not to augment the nostr network, but to augment its own UX by borrowing some nifty thing from the protocol without really contributing anything back. Some examples might include: - Using nostr signers to encrypt or sign data, and then store that data on a proprietary server. - Using nostr relays as a kind of low-code backend, but using proprietary event payloads. - Using nostr event kinds to represent data (why), but not leveraging the trustlessness that buys you. An application in this category might even communicate to its users via nostr DMs - but this doesn't make it a "nostr app" any more than a website that emails you hot deals on herbal supplements is an "email app". These apps are purely parasitic on the nostr ecosystem. In the long-term, that's not necessarily a bad thing. Email's ubiquity is self-reinforcing. But in the short term, this kind of "nostr app" can actually do damage to nostr's reputation by over-promising and under-delivering. # It complements nostr Next up, we have apps that get some benefit out of nostr as above, but give back by providing a unique value proposition to nostr users as nostr users. This is a bit of a fine distinction, but for me this category is for apps which focus on solving problems that nostr isn't good at solving, leaving the nostr integration in a secondary or supporting role. One example of this kind of app was Mutiny (RIP), which not only allowed users to sign in with nostr, but also pulled those users' social graphs so that users could send money to people they knew and trusted. Mutiny was doing a great job of leveraging nostr, as well as providing value to users with nostr identities - but it was still primarily a bitcoin wallet, not a "nostr app" in the purest sense. Other examples are things like Nostr Nests and Zap.stream, whose core value proposition is streaming video or audio content. Both make great use of nostr identities, data formats, and relays, but they're primarily streaming apps. A good litmus test for things like this is: if you got rid of nostr, would it be the same product (even if inferior in certain ways)? A similar category is infrastructure providers that benefit nostr by their existence (and may in fact be targeted explicitly at nostr users), but do things in a centralized, old-web way; for example: media hosts, DNS registrars, hosting providers, and CDNs. To be clear here, I'm not casting aspersions (I don't even know what those are, or where to buy them). All the apps mentioned above use nostr to great effect, and are a real benefit to nostr users. But they are not True Scotsmen. # It embodies nostr Ok, here we go. This is the crème de la crème, the top du top, the meilleur du meilleur, the bee's knees. The purest, holiest, most chaste category of nostr app out there. The apps which are, indeed, nostr indigitate. This category of nostr app (see, no quotes this time) can be defined by the converse of the previous category. If nostr was removed from this type of application, would it be impossible to create the same product? To tease this apart a bit, apps that leverage the technical aspects of nostr are dependent on nostr the *protocol*, while apps that benefit nostr exclusively via network effect are integrated into nostr the *network*. An app that does both things is working in symbiosis with nostr as a whole. An app that embraces both nostr's protocol and its network becomes an organic extension of every other nostr app out there, multiplying both its competitive moat and its contribution to the ecosystem: - In contrast to apps that only borrow from nostr on the technical level but continue to operate in their own silos, an application integrated into the nostr network comes pre-packaged with existing users, and is able to provide more value to those users because of other nostr products. On nostr, it's a good thing to advertise your competitors. - In contrast to apps that only market themselves to nostr users without building out a deep integration on the protocol level, a deeply integrated app becomes an asset to every other nostr app by becoming an organic extension of them through interoperability. This results in increased traffic to the app as other developers and users refer people to it instead of solving their problem on their own. This is the "micro-apps" utopia we've all been waiting for. Credible exit doesn't matter if there aren't alternative services. Interoperability is pointless if other applications don't offer something your app doesn't. Marketing to nostr users doesn't matter if you don't augment their agency _as nostr users_. If I had to choose a single NIP that represents the mindset behind this kind of app, it would be NIP 89 A.K.A. "Recommended Application Handlers", which states: > Nostr's discoverability and transparent event interaction is one of its most interesting/novel mechanics. This NIP provides a simple way for clients to discover applications that handle events of a specific kind to ensure smooth cross-client and cross-kind interactions. These handlers are the glue that holds nostr apps together. A single event, signed by the developer of an application (or by the application's own account) tells anyone who wants to know 1. what event kinds the app supports, 2. how to link to the app (if it's a client), and (if the pubkey also publishes a kind 10002), 3. which relays the app prefers. _As a sidenote, NIP 89 is currently focused more on clients, leaving DVMs, relays, signers, etc somewhat out in the cold. Updating 89 to include tailored listings for each kind of supporting app would be a huge improvement to the protocol. This, plus a good front end for navigating these listings (sorry nostrapp.link, close but no cigar) would obviate the evil centralized websites that curate apps based on arbitrary criteria._ Examples of this kind of app obviously include many kind 1 clients, as well as clients that attempt to bring the benefits of the nostr protocol and network to new use cases - whether long form content, video, image posts, music, emojis, recipes, project management, or any other "content type". To drill down into one example, let's think for a moment about forms. What's so great about a forms app that is built on nostr? Well, - There is a [spec](https://github.com/nostr-protocol/nips/pull/1190) for forms and responses, which means that... - Multiple clients can implement the same data format, allowing for credible exit and user choice, even of... - Other products not focused on forms, which can still view, respond to, or embed forms, and which can send their users via NIP 89 to a client that does... - Cryptographically sign forms and responses, which means they are self-authenticating and can be sent to... - Multiple relays, which reduces the amount of trust necessary to be confident results haven't been deliberately "lost". Show me a forms product that does all of those things, and isn't built on nostr. You can't, because it doesn't exist. Meanwhile, there are plenty of image hosts with APIs, streaming services, and bitcoin wallets which have basically the same levels of censorship resistance, interoperability, and network effect as if they weren't built on nostr. # It supports nostr Notice I haven't said anything about whether relays, signers, blossom servers, software libraries, DVMs, and the accumulated addenda of the nostr ecosystem are nostr apps. Well, they are (usually). This is the category of nostr app that gets none of the credit for doing all of the work. There's no question that they qualify as beautiful nostrcorns, because their value propositions are entirely meaningless outside of the context of nostr. Who needs a signer if you don't have a cryptographic identity you need to protect? DVMs are literally impossible to use without relays. How are you going to find the blossom server that will serve a given hash if you don't know which servers the publishing user has selected to store their content? In addition to being entirely contextualized by nostr architecture, this type of nostr app is valuable because it does things "the nostr way". By that I mean that they don't simply try to replicate existing internet functionality into a nostr context; instead, they create entirely new ways of putting the basic building blocks of the internet back together. A great example of this is how Nostr Connect, Nostr Wallet Connect, and DVMs all use relays as brokers, which allows service providers to avoid having to accept incoming network connections. This opens up really interesting possibilities all on its own. So while I might hesitate to call many of these things "apps", they are certainly "nostr". # Appendix: it smells like a NINO So, let's say you've created an app, but when you show it to people they politely smile, nod, and call it a NINO (Nostr In Name Only). What's a hacker to do? Well, here's your handy-dandy guide on how to wash that NINO stench off and Become a Nostr. You app might be a NINO if: - There's no NIP for your data format (or you're abusing NIP 78, 32, etc by inventing a sub-protocol inside an existing event kind) - There's a NIP, but no one knows about it because it's in a text file on your hard drive (or buried in your project's repository) - Your NIP imposes an incompatible/centralized/legacy web paradigm onto nostr - Your NIP relies on trusted third (or first) parties - There's only one implementation of your NIP (yours) - Your core value proposition doesn't depend on relays, events, or nostr identities - One or more relay urls are hard-coded into the source code - Your app depends on a specific relay implementation to work (*ahem*, relay29) - You don't validate event signatures - You don't publish events to relays you don't control - You don't read events from relays you don't control - You use legacy web services to solve problems, rather than nostr-native solutions - You use nostr-native solutions, but you've hardcoded their pubkeys or URLs into your app - You don't use NIP 89 to discover clients and services - You haven't published a NIP 89 listing for your app - You don't leverage your users' web of trust for filtering out spam - You don't respect your users' mute lists - You try to "own" your users' data Now let me just re-iterate - it's ok to be a NINO. We need NINOs, because nostr can't (and shouldn't) tackle every problem. You just need to decide whether your app, as a NINO, is actually contributing to the nostr ecosystem, or whether you're just using buzzwords to whitewash a legacy web software product. If you're in the former camp, great! If you're in the latter, what are you waiting for? Only you can fix your NINO problem. And there are lots of ways to do this, depending on your own unique situation: - Drop nostr support if it's not doing anyone any good. If you want to build a normal company and make some money, that's perfectly fine. - Build out your nostr integration - start taking advantage of webs of trust, self-authenticating data, event handlers, etc. - Work around the problem. Think you need a special relay feature for your app to work? Guess again. Consider encryption, AUTH, DVMs, or better data formats. - Think your idea is a good one? Talk to other devs or open a PR to the [nips repo](https://github.com/nostr-protocol/nips). No one can adopt your NIP if they don't know about it. - Keep going. It can sometimes be hard to distinguish a research project from a NINO. New ideas have to be built out before they can be fully appreciated. - Listen to advice. Nostr developers are friendly and happy to help. If you're not sure why you're getting traction, ask! I sincerely hope this article is useful for all of you out there in NINO land. Maybe this made you feel better about not passing the totally optional nostr app purity test. Or maybe it gave you some actionable next steps towards making a great NINON (Nostr In Not Only Name) app. In either case, GM and PV.

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Tech stocks have taken a hit globally after China's DeepSeek launched a competitive AI chatbot at a much lower cost than US counterparts. This has stirred market fears of a $1.2 trillion loss across tech companies when trading opens in New York. DeepSeek’s chatbot quickly topped download charts and surprised experts with its capabilities, developed for only $5.6 million. The Nasdaq dropped over 3% in premarket trading, with major firms like Nvidia falling more than 10%. SoftBank also saw losses shortly after investing in a significant US AI venture. Venture capitalist Marc Andreessen called it “AI’s Sputnik moment,” highlighting its potential impact on the industry. ![] (https://www.telegraph.co.uk/content/dam/business/2025/01/27/TELEMMGLPICT000409807198_17379939060750_trans_NvBQzQNjv4BqgsaO8O78rhmZrDxTlQBjdGLvJF5WfpqnBZShRL_tOZw.jpeg)

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Salwan Momika, a Christian Iraqi known for burning the Koran in Sweden, was shot dead during a TikTok livestream in an apartment in Sodertalje. The 38-year-old sparked outrage in the Muslim community for his demonstrations, leading to global condemnation. After being rushed to the hospital, he was pronounced dead. Authorities arrested five individuals in connection with the incident. Momika's death comes days before a court ruling on his possible incitement of ethnic hatred. The incident highlights the tensions surrounding free speech and religious sentiments, intensifying after his controversial protests in 2023. [Sauce](https://www.dailymail.co.uk/news/article-14341423/Christian-Iraqi-burnt-Koran-Sweden-shot-dead.html)

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**"Degeneration"** or **"Вырождение"** ![[photo_2025-01-29 23.23.15.jpeg]] A once-functional object, now eroded by time and human intervention, stripped of its original purpose. Layers of presence accumulate—marks, alterations, traces of intent—until the very essence is obscured. Restoration is paradoxical: to reclaim, one must erase. Yet erasure is an impossibility, for to remove these imprints is to deny the existence of those who shaped them. The work stands as a meditation on entropy, memory, and the irreversible dialogue between creation and decay.

@ 0fa80bd3:ea7325de

Lyn Alden - биткойн евангелист или евангелистка, я пока не понял ``` npub1a2cww4kn9wqte4ry70vyfwqyqvpswksna27rtxd8vty6c74era8sdcw83a ``` Thomas Pacchia - PubKey owner - X - @tpacchia ``` npub1xy6exlg37pw84cpyj05c2pdgv86hr25cxn0g7aa8g8a6v97mhduqeuhgpl ``` calvadev - Shopstr ``` npub16dhgpql60vmd4mnydjut87vla23a38j689jssaqlqqlzrtqtd0kqex0nkq ``` Calle - Cashu founder ``` npub12rv5lskctqxxs2c8rf2zlzc7xx3qpvzs3w4etgemauy9thegr43sf485vg ``` Джек Дорси ``` npub1sg6plzptd64u62a878hep2kev88swjh3tw00gjsfl8f237lmu63q0uf63m ``` 21 ideas ``` npub1lm3f47nzyf0rjp6fsl4qlnkmzed4uj4h2gnf2vhe3l3mrj85vqks6z3c7l ``` Много адресов. Хз кто надо сортировать ``` https://github.com/aitechguy/nostr-address-book ``` ФиатДжеф - создатель Ностр - https://github.com/fiatjaf ``` npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6 ``` EVAN KALOUDIS Zues wallet ``` npub19kv88vjm7tw6v9qksn2y6h4hdt6e79nh3zjcud36k9n3lmlwsleqwte2qd ``` Программер Коди https://github.com/CodyTseng/nostr-relay ``` npub1syjmjy0dp62dhccq3g97fr87tngvpvzey08llyt6ul58m2zqpzps9wf6wl ``` Anna Chekhovich - Managing Bitcoin at The Anti-Corruption Foundation https://x.com/AnyaChekhovich ``` npub1y2st7rp54277hyd2usw6shy3kxprnmpvhkezmldp7vhl7hp920aq9cfyr7 ```

@ 0fa80bd3:ea7325de

![[yedinaya-rossiya-bear.png]] 1️⃣ Be where the bear roams. Stay in its territory, where it hunts for food. No point setting a trap in your backyard if the bear’s chilling in the forest. 2️⃣ Set a well-hidden trap. Bury it, disguise it, and place the bait right in the center. Bears are omnivores—just like secret police KGB agents. And what’s the tastiest bait for them? Money. 3️⃣ Wait for the bear to take the bait. When it reaches in, the trap will snap shut around its paw. It’ll be alive, but stuck. No escape. Now, what you do with a trapped bear is another question... 😏

@ 0fa80bd3:ea7325de

The land that belongs to the indigenous peoples of Russia has been seized by a gang of killers who have unleashed a war of extermination. They wipe out anyone who refuses to conform to their rules. Those who disagree and stay behind are tortured and killed in prisons and labor camps. Those who flee lose their homeland, dissolve into foreign cultures, and fade away. And those who stand up to protect their people are attacked by the misled and deceived. The deceived die for the unchecked greed of a single dictator—thousands from both sides, people who just wanted to live, raise their kids, and build a future. Now, they are forced to make an impossible choice: abandon their homeland or die. Some perish on the battlefield, others lose themselves in exile, stripped of their identity, scattered in a world that isn’t theirs. There’s been endless debate about how to fix this, how to clear the field of the weeds that choke out every new sprout, every attempt at change. But the real problem? We can’t play by their rules. We can’t speak their language or use their weapons. We stand for humanity, and no matter how righteous our cause, we will not multiply suffering. Victory doesn’t come from matching the enemy—it comes from staying ahead, from using tools they haven’t mastered yet. That’s how wars are won. Our only resource is the **will of the people** to rewrite the order of things. Historian Timothy Snyder once said that a nation cannot exist without a city. A city is where the most active part of a nation thrives. But the cities are occupied. The streets are watched. Gatherings are impossible. They control the money. They control the mail. They control the media. And any dissent is crushed before it can take root. So I started asking myself: **How do we stop this fragmentation?** How do we create a space where people can **rebuild their connections** when they’re ready? How do we build a **self-sustaining network**, where everyone contributes and benefits proportionally, while keeping their freedom to leave intact? And more importantly—**how do we make it spread, even in occupied territory?** In 2009, something historic happened: **the internet got its own money.** Thanks to **Satoshi Nakamoto**, the world took a massive leap forward. Bitcoin and decentralized ledgers shattered the idea that money must be controlled by the state. Now, to move or store value, all you need is an address and a key. A tiny string of text, easy to carry, impossible to seize. That was the year money broke free. The state lost its grip. Its biggest weapon—physical currency—became irrelevant. Money became **purely digital.** The internet was already **a sanctuary for information**, a place where people could connect and organize. But with Bitcoin, it evolved. Now, **value itself** could flow freely, beyond the reach of authorities. Think about it: when seedlings are grown in controlled environments before being planted outside, they **get stronger, survive longer, and bear fruit faster.** That’s how we handle crops in harsh climates—nurture them until they’re ready for the wild. Now, picture the internet as that **controlled environment** for **ideas**. Bitcoin? It’s the **fertile soil** that lets them grow. A testing ground for new models of interaction, where concepts can take root before they move into the real world. If **nation-states are a battlefield, locked in a brutal war for territory, the internet is boundless.** It can absorb any number of ideas, any number of people, and it doesn’t **run out of space.** But for this ecosystem to thrive, people need safe ways to communicate, to share ideas, to build something real—**without surveillance, without censorship, without the constant fear of being erased.** This is where **Nostr** comes in. Nostr—"Notes and Other Stuff Transmitted by Relays"—is more than just a messaging protocol. **It’s a new kind of city.** One that **no dictator can seize**, no corporation can own, no government can shut down. It’s built on **decentralization, encryption, and individual control.** Messages don’t pass through central servers—they are relayed through independent nodes, and users choose which ones to trust. There’s no master switch to shut it all down. Every person owns their identity, their data, their connections. And no one—no state, no tech giant, no algorithm—can silence them. In a world where cities fall and governments fail, **Nostr is a city that cannot be occupied.** A place for ideas, for networks, for freedom. A city that grows stronger **the more people build within it**.

@ 9e69e420:d12360c2

Secretary of State Marco Rubio issued new guidance halting spending on most foreign aid grants for 90 days, including military assistance to Ukraine. This immediate order shocked State Department officials and mandates “stop-work orders” on nearly all existing foreign assistance awards. While it allows exceptions for military financing to Egypt and Israel, as well as emergency food assistance, it restricts aid to key allies like Ukraine, Jordan, and Taiwan. The guidance raises potential liability risks for the government due to unfulfilled contracts. A report will be prepared within 85 days to recommend which programs to continue or discontinue.

@ 9e69e420:d12360c2

## Chef's notes # arbitray - test - of - chefs notes ## hedding 2 ## Details - ⏲️ Prep time: 20 - 🍳 Cook time: 1 hour - 🍽️ Servings: 5 ## Ingredients - Test ingredient - 2nd test ingredient ## Directions 1. Bake 2. Cool

@ 9e69e420:d12360c2

President Trump plans to withdraw 20,000 U.S. troops from Europe and expects European allies to contribute financially to the remaining military presence. Reported by ANSA, Trump aims to deliver this message to European leaders since taking office. A European diplomat noted, “the costs cannot be borne solely by American taxpayers.” The Pentagon hasn't commented yet. Trump has previously sought lower troop levels in Europe and had ordered cuts during his first term. The U.S. currently maintains around 65,000 troops in Europe, with total forces reaching 100,000 since the Ukraine invasion. Trump's new approach may shift military focus to the Pacific amid growing concerns about China. [Sauce](https://www.stripes.com/theaters/europe/2025-01-24/trump-europe-troop-cuts-16590074.html)

@ 9e69e420:d12360c2

| Parameters | Dry Mead | Medium Mead | Sweet Mead | |------------|-----------|-------------|------------| | Honey | 2 lbs (900 grams) | 3 lbs (1.36 kg) | 4 lbs (1.81 kg) | | Yeast | ~0.07 oz (2 grams) | ~0.08 oz (2.5 grams) | ~0.10 oz (3 grams) | | Fermentation | ~4 weeks | 4 to 6 weeks | 6 to 8 weeks | | Racking | Fortnight or later | 1 month or after | ~2 months and after | | Specific Gravity | <1.010 | ~1.01 to ~1.025 | >1.025 |

@ 9e69e420:d12360c2

President Trump has ordered thousands of additional troops to the U.S.-Mexico border as part of an effort to address immigration and security issues. This directive builds on his initial commitment to increase military presence along the border. Currently, around 2,200 active-duty personnel and approximately 4,500 National Guardsmen are stationed there. The new deployment aims to enhance the capabilities of Joint Task Force-North, allowing troops to assist in operations and provide intelligence support. Details on specific units remain unclear. The situation is still developing, with updates expected. [Sauce](https://thepostmillennial.com/breaking-president-trump-orders-thousands-of-troops-to-the-us-border-with-mexico)

@ 6be5cc06:5259daf0

A seguir, veja como instalar e configurar o **Privoxy** no **Pop!_OS**. --- ### **1. Instalar o Tor e o Privoxy** Abra o terminal e execute: ```bash sudo apt update sudo apt install tor privoxy ``` **Explicação:** - **Tor:** Roteia o tráfego pela rede Tor. - **Privoxy:** Proxy avançado que intermedia a conexão entre aplicativos e o Tor. --- ### **2. Configurar o Privoxy** Abra o arquivo de configuração do Privoxy: ```bash sudo nano /etc/privoxy/config ``` Navegue até a última linha (atalho: **`Ctrl`** + **`/`** depois **`Ctrl`** + **`V`** para navegar diretamente até a última linha) e insira: ```bash forward-socks5 / 127.0.0.1:9050 . ``` Isso faz com que o **Privoxy** envie todo o tráfego para o **Tor** através da porta **9050**. Salve (**`CTRL`** + **`O`** e **`Enter`**) e feche (**`CTRL`** + **`X`**) o arquivo. --- ### **3. Iniciar o Tor e o Privoxy** Agora, inicie e habilite os serviços: ```bash sudo systemctl start tor sudo systemctl start privoxy sudo systemctl enable tor sudo systemctl enable privoxy ``` **Explicação:** - **start:** Inicia os serviços. - **enable:** Faz com que iniciem automaticamente ao ligar o PC. --- ### **4. Configurar o Navegador Firefox** Para usar a rede **Tor** com o Firefox: 1. Abra o Firefox. 2. Acesse **Configurações** → **Configurar conexão**. 3. Selecione **Configuração manual de proxy**. 4. Configure assim: - **Proxy HTTP:** `127.0.0.1` - **Porta:** `8118` (porta padrão do **Privoxy**) - **Domínio SOCKS (v5):** `127.0.0.1` - **Porta:** `9050` 5. Marque a opção **"Usar este proxy também em HTTPS"**. 6. Clique em **OK**. --- ### **5. Verificar a Conexão com o Tor** Abra o navegador e acesse: ```text https://check.torproject.org/ ``` Se aparecer a mensagem **"Congratulations. This browser is configured to use Tor."**, a configuração está correta. --- ### **Dicas Extras** - **Privoxy** pode ser ajustado para bloquear anúncios e rastreadores. - Outros aplicativos também podem ser configurados para usar o **Privoxy**.

@ 16d11430:61640947

In a world drowning in Monopoly money, where people celebrate government-mandated inflation as "economic growth," it takes a special kind of clarity—nay, cynicism—to rise above the fiat circus. This is your guide to shedding your fiat f**ks and embracing the serene chaos of sound money, all while laughing at the absurdity of a world gone fiat-mad. --- 1. Don’t Feed the Clowns You know the clowns I’m talking about: central bankers in their tailored suits and smug smirks, wielding "tools" like interest rates and quantitative easing. Their tools are as real as a magician's wand, conjuring trillions of dollars out of thin air to keep their Ponzi economy afloat. Rule #1: Don’t engage. If a clown offers you a hot take about the "strength of the dollar," smile, nod, and silently wonder how many cups of coffee their paycheck buys this month. Spoiler: fewer than last month. --- 2. Turn Off the Fiat News Do you really need another breathless headline about the next trillion-dollar deficit? Or the latest clickbait on why you should care about the stock market's emotional rollercoaster? Mainstream media exists to distract you, to keep you tethered to their illusion of importance. Turn it off. Replace it with something sound, like the Bitcoin whitepaper. Or Nietzsche. At least Nietzsche knew we were doomed. --- 3. Mock Their Inflationary Gospel Fiat apologists will tell you that inflation is "necessary" and that 2% a year is a "healthy target." Sure, because a little robbery every year keeps society functioning, right? Ask them this: "If 2% is healthy, why not 20%? Why not 200%? Why not Venezuela?" Fiat logic is like a bad acid trip: entertaining at first, but it quickly spirals into existential horror. --- 4. Celebrate the Fiat Freakshow Sometimes, the best way to resist the fiat clown show is to revel in its absurdity. Watch politicians print money like teenagers running up a credit card bill at Hot Topic, then watch the economists applaud it as "stimulus." It’s performance art, really. Andy Warhol could never. --- 5. Build in the Chaos While the fiat world burns, Bitcoiners build. This is the ultimate "not giving a fiat f**k" move: creating a parallel economy, one satoshi at a time. Run your Lightning node, stack sats, and laugh as the fiat circus consumes itself in a flaming pile of its own debt. Let them argue about who gets to rearrange the deck chairs on the Titanic. You’re busy designing lifeboats. --- 6. Adopt a Fiat-Free Lifestyle Fiat-free living means minimizing your entanglement with their clown currency. Buy meat, not ETFs. Trade skills, not IOUs. Tip your barber in Bitcoin and ask if your landlord accepts Lightning. If they say no, chuckle and say, “You’ll learn soon enough.” Every satoshi spent in the real economy is a slap in the face to the fiat overlords. --- 7. Find the Humor in Collapse Here’s the thing: the fiat system is unsustainable. You know it, I know it, even the clowns know it. The whole charade is destined to collapse under its own weight. When it does, find solace in the absurdity of it all. Imagine the central bankers explaining hyperinflation to the public: "Turns out we can't print infinity after all." Pure comedy gold. --- 8. Stay Ruthlessly Optimistic Despite the doom and gloom, there’s hope. Bitcoin is hope. It’s the lifeboat for humanity, the cheat code to escape the fiat matrix. Cynicism doesn’t mean nihilism; it means seeing the rot for what it is and choosing to build something better. So, don’t just reject the fiat clown show—replace it. Create a world where money is sound, transactions are sovereign, and wealth is measured in energy, not debt. --- Final Thought: Burn the Tent Down Aldous Huxley once envisioned a dystopia where people are so distracted by their own hedonistic consumption that they don’t realize they’re enslaved. Sound familiar? The fiat clown show is Brave New World on steroids, a spectacle designed to keep you pacified while your wealth evaporates. But here’s the punchline: they can only enslave you if you care. By rejecting their system, you strip them of their power. So let them juggle their debts, inflate their bubbles, and print their trillions. You’ve got Bitcoin, and Bitcoin doesn’t give a fiat f**k. Welcome to the satirical resistance. Now go stack some sats.

@ 9e69e420:d12360c2

Oregano oil is a potent natural compound that offers numerous scientifically-supported health benefits. ## Active Compounds The oil's therapeutic properties stem from its key bioactive components: - Carvacrol and thymol (primary active compounds) - Polyphenols and other antioxidant ## Antimicrobial Properties **Bacterial Protection** The oil demonstrates powerful antibacterial effects, even against antibiotic-resistant strains like MRSA and other harmful bacteria. Studies show it effectively inactivates various pathogenic bacteria without developing resistance. **Antifungal Effects** It effectively combats fungal infections, particularly Candida-related conditions like oral thrush, athlete's foot, and nail infections. ## Digestive Health Benefits Oregano oil supports digestive wellness by: - Promoting gastric juice secretion and enzyme production - Helping treat Small Intestinal Bacterial Overgrowth (SIBO) - Managing digestive discomfort, bloating, and IBS symptoms ## Anti-inflammatory and Antioxidant Effects The oil provides significant protective benefits through: - Powerful antioxidant activity that fights free radicals - Reduction of inflammatory markers in the body - Protection against oxidative stress-related conditions ## Respiratory Support It aids respiratory health by: - Loosening mucus and phlegm - Suppressing coughs and throat irritation - Supporting overall respiratory tract function ## Additional Benefits **Skin Health** - Improves conditions like psoriasis, acne, and eczema - Supports wound healing through antibacterial action - Provides anti-aging benefits through antioxidant properties **Cardiovascular Health** Studies show oregano oil may help: - Reduce LDL (bad) cholesterol levels - Support overall heart health **Pain Management** The oil demonstrates effectiveness in: - Reducing inflammation-related pain - Managing muscle discomfort - Providing topical pain relief ## Safety Note While oregano oil is generally safe, it's highly concentrated and should be properly diluted before use Consult a healthcare provider before starting supplementation, especially if taking other medications.

@ b17fccdf:b7211155

~ > Available at: [https://minibolt.info](https://minibolt.info) --- ~> It builds on a personal computer with **x86/amd64** architecture processors. ~> It is based on the popular [RaspiBolt v3](https://raspibolt.org) guide. --- **Those are some of the most relevant changes:** * Changed OS from Raspberry Pi OS Lite (64-bits) to ***Ubuntu Server LTS*** (Long term support) 64-bit PC (AMD64). * Changed binaries and signatures of the programs to adapt them to ***x86/amd64 architecture***. * Deleted unnecessary tools and steps, and added others according to this case of use. * Some useful authentication logs and monitoring commands were added in the security section. * Added some interesting parameters in the settings of some services to activate and take advantage of new features. * Changed I2P, Fulcrum, and ThunderHub guides, to be part of the core guide. * Added exclusive optimization section of services for slow devices. --- ~ > Complete release notes of the MiniBolt v1: [https://github.com/twofaktor/minibolt/releases/tag/1.0](https://github.com/twofaktor/minibolt/releases/tag/1.0). ~ > Feel free to contribute to the [source code on GitHub](https://github.com/minibolt-guide/minibolt) by opening [issues](https://github.com/minibolt-guide/minibolt/issues), [pull requests](https://github.com/minibolt-guide/minibolt/pulls) or [discussions](https://github.com/orgs/minibolt-guide/discussions). --- Created by [⚡2 FakTor⚡](nostr:npub1k9luehc8hg3c0upckdzzvusv66x3zt0eyw7290kclrpsndepz92sfcpp63)

@ b17fccdf:b7211155

😱 Did you recently find this signature verification error when you tried to update your MiniBolt repositories with -> `sudo apt update`? 💥🚨👇  🔧 Don't worry, that's because Tor renewed its signing key since it expired last 07/15, just renew your keyring by following the next steps to solve this problem: ~ > [CLICK HERE](https://minibolt.minibolt.info/system/system/privacy#tor-signature-verification-error) < ~ --- Enjoy it MiniBolter!💙

@ b17fccdf:b7211155

**Link to the bonus guide** ~ > [HERE](https://minibolt.minibolt.info/bonus-guides/bitcoin/minibolt-on-testnet) <~ --- Some notes: ℹ️ For the moment, this guide will touch only the case of an **only testnet mode** situation, in the future, we will study adding the case of configuration to enable the parallel/simultaneous mode (mainnet+testnet in the same device) in an extra section in this guide. ℹ️ The services mentioned in this guide are those that have been tested using testnet configuration and these worked fine. Later, in the next versions of this guide, we will go to adding other processes to adapt other services to the testnet mode. --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

Available at: [https://minibolt.info](https://minibolt.info) --- **Main changes to** the version 1: * The complete guide has been migrated to the new design visual builder web tool platform [gitbook.com](https://www.gitbook.com/) * New modern UI (responsive, full width, and better visual items) * New menu structure for a better user experience * New visual items to improve the navigation through the web page * New switch to enable light/dark theme * Enabled Cloudflare Proxy for maximum protection against attacks and better management of the domain --- **Other changes:** * New [MiniBolt Linktr](https://linktr.minibolt.info/) forked of the alternative [FOSS project](https://github.com/gzuuus/linktr) proposed by [Gzuuus](https://twitter.com/gzuuus) * Changed MiniBolt from a personal project to an [organization](https://github.com/minibolt-guide) so that the project has its own identity * New email contact address [hello@minibolt.info](mailto:hello@minibolt.info) to receive proposals and give support * New [resources](https://github.com/minibolt-guide/minibolt/tree/main/resources) folder with the current MiniBolt roadmap, network map diagrams, and others --- ℹ️ **More info:** * The new version is available with the known domain: [minibolt.info](https://minibolt.info/) but from now on links associated with the new v2 version were shared using the [v2.minibolt.info](https://v2.minibolt.info/) subdomain due to a GitBook limitation * The old and deprecated v1 will be still available at a time in the subdomain [v1.minibolt.info](https://v1.minibolt.info/), but is in the roadmap delete it definitely in the future, take note ASAP of all that you need of that version before this happens * Contributors and collaborators will be able to continue doing PR through code programming or using the design block builder [gitbook.com](https://www.gitbook.com/) --- [GitHub release](https://github.com/minibolt-guide/minibolt/releases/tag/2.0) --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

The **router reserves the IP address** of the device **for a time after going out**, but if the device goes out some time, the next time that the device starts, the router could assign a different IP and you could lose access to your node. To avoid this, you need to **set a static IP to your MiniBolt**. ~ > In addition, you can **customize your DNS servers to improve your privacy**, normally your ISP, gives you the router with its own DNS servers set by default, and this does that you expose all of your navigation trackings to your ISP, affecting seriously your privacy. ~ > This bonus guide includes all of the necessary steps to get this and is available ~ > [HERE](https://minibolt.minibolt.info/bonus-guides/system/static-ip-and-custom-dns-servers) < ~ ---  --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

Link to the bonus guide ~ > [HERE](https://minibolt.minibolt.info/bonus-guides/system/ssh-keys) < ~ --- Some sections of the guide: * Generate SSH keys * Import SSH pubkey * Connect to the MiniBolt node using SSH keys * Disable password login * Disable admin password request --- Some shortcuts to the Extra sections: * Disable password login: click ~ > [HERE](https://minibolt.minibolt.info/bonus-guides/system/ssh-keys#disable-password-login) < ~ * Disable admin password request: click ~ > [HERE](https://minibolt.minibolt.info/bonus-guides/system/ssh-keys#disable-admin-password-request-caution) < ~ --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

**Link to the bonus guide** ~ > [HERE](https://minibolt.minibolt.info/bonus-guides/bitcoin/ordisrespector) < ~ --- ⏰ Recently added an update that includes a new section **[How to detect Ordinals transactions](https://minibolt.minibolt.info/bonus-guides/bitcoin/ordisrespector#how-to-detect-ordinals-transactions) and [verify Ordisrespector filter works](https://minibolt.minibolt.info/bonus-guides/bitcoin/ordisrespector#check-the-ordisrespector-filter-working-on-your-mempool)** to verify that Ordispector is **filtering and burning Ordinals** correctly 🔥 --- Fuck Ordinals🤡🔫 and enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

Some sections inside of the guide: * Set up Dynamic DNS * Wireguard VPN server & client side configurations * Install & configure the WireGuard VPN Client on a mobile phone * Configure additional servers & clients * Use your router’s DDNS preconfigured provider * Port forwarding on NAT/PAT router --- Link to the bonus guide [HERE](https://minibolt.minibolt.info/bonus-guides/system/wireguard-vpn) --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

Do you want to use a different disk to store data (blockchain and other databases) independently of the disk of the system? A step-by-step guide using a secondary disk to store the data (blockchain and other databases) independently of the disk of the system and using the Ubuntu Server guided installation. --- ### **What's changed** * Rebuilt the [Ubuntu Server installation guide](https://minibolt.minibolt.info/system/system/operating-system#ubuntu-server-installation) based on this bonus guide added. * Added GIFs to improve the illustration of the steps to follow. * [Case 1](https://minibolt.minibolt.info/bonus-guides/system/static-ip-and-custom-dns-servers#option-1-at-the-beginning-during-the-ubuntu-server-installation-gui): during the Ubuntu server guided installation. * [Case 2](https://minibolt.minibolt.info/bonus-guides/system/static-ip-and-custom-dns-servers#option-2-after-ubuntu-server-installation-by-command-line): build it after system installation (by command line). --- ~ > Link to the bonus guide [HERE](https://minibolt.minibolt.info/bonus-guides/system/store-data-secondary-disk) --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

**Link to the bonus guide** ~> [HERE](https://minibolt.minibolt.info/bonus-guides/bitcoin/btcpay-server) < ~ --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

The past 26 August, Tor [introduced officially](https://blog.torproject.org/introducing-proof-of-work-defense-for-onion-services/) a proof-of-work (PoW) defense for onion services designed to prioritize verified network traffic as a deterrent against denial of service (DoS) attacks. ~ > This feature at the moment, is [deactivate by default](https://gitlab.torproject.org/tpo/core/tor/-/blob/main/doc/man/tor.1.txt#L3117), so you need to follow these steps to activate this on a MiniBolt node: * Make sure you have the latest version of Tor installed, at the time of writing this post, which is v0.4.8.6. Check your current version by typing ``` tor --version ``` **Example** of expected output: ``` Tor version 0.4.8.6. This build of Tor is covered by the GNU General Public License (https://www.gnu.org/licenses/gpl-3.0.en.html) Tor is running on Linux with Libevent 2.1.12-stable, OpenSSL 3.0.9, Zlib 1.2.13, Liblzma 5.4.1, Libzstd N/A and Glibc 2.36 as libc. Tor compiled with GCC version 12.2.0 ``` ~ > If you have v0.4.8.X, you are **OK**, if not, type `sudo apt update && sudo apt upgrade` and confirm to update. * Basic PoW support can be checked by running this command: ``` tor --list-modules ``` Expected output: ``` relay: yes dirauth: yes dircache: yes pow: **yes** ``` ~ > If you have `pow: yes`, you are **OK** * Now go to the torrc file of your MiniBolt and add the parameter to enable PoW for each hidden service added ``` sudo nano /etc/tor/torrc ``` Example: ``` # Hidden Service BTC RPC Explorer HiddenServiceDir /var/lib/tor/hidden_service_btcrpcexplorer/ HiddenServiceVersion 3 HiddenServicePoWDefensesEnabled 1 HiddenServicePort 80 127.0.0.1:3002 ``` ~ > Bitcoin Core and LND use the Tor control port to automatically create the hidden service, requiring no action from the user. We have submitted a feature request in the official GitHub repositories to explore the need for the integration of Tor's PoW defense into the automatic creation process of the hidden service. You can follow them at the following links: * Bitcoin Core: https://github.com/lightningnetwork/lnd/issues/8002 * LND: https://github.com/bitcoin/bitcoin/issues/28499 --- More info: * https://blog.torproject.org/introducing-proof-of-work-defense-for-onion-services/ * https://gitlab.torproject.org/tpo/onion-services/onion-support/-/wikis/Documentation/PoW-FAQ --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

It turns out that Ubuntu Linux installations of Ubuntu 23.04, 22.04.3 LTS, and installs done since April 2023 that accepted the Snap version update haven't been following Ubuntu's own recommended security best practices for their security pocket configuration for packages. A new Subiquity release [was issued](https://github.com/canonical/subiquity/releases/tag/23.09.1) to fix this problem while those on affected Ubuntu systems already installed are recommended to manually edit their `/etc/apt/sources.list` file. If you didn't install MiniBolt recently, **you are affected by this bug**, and we need to fix that manually if not we want to install all since cero. Anyway, if you installed Minibolt recently, we recommend you review that. Follow these easy steps to review and fix this: * Edit the `sources-list` file: ``` sudo nano /etc/apt/sources.list ``` * Search now for every line that includes '-security' (without quotes) (normally at the end of the file) and change the URL to --> http://security.ubuntu.com/ubuntu ~ > For example, from http://es.archive.ubuntu.com/ubuntu (or the extension corresponding to your country) to --> http://security.ubuntu.com/ubuntu ~> Real case, Spain location, **before fix**: ``` deb http://es.archive.ubuntu.com/ubuntu jammy-security main restricted # deb-src http://es.archive.ubuntu.com/ubuntu jammy-security main restricted deb http://es.archive.ubuntu.com/ubuntu jammy-security universe # deb-src http://es.archive.ubuntu.com/ubuntu jammy-security universe deb http://es.archive.ubuntu.com/ubuntu jammy-security multiverse # deb-src http://es.archive.ubuntu.com/ubuntu jammy-security multiverse ``` **After fix:** ``` deb http://security.ubuntu.com/ubuntu jammy-security main restricted # deb-src http://es.archive.ubuntu.com/ubuntu jammy-security main restricted deb http://security.ubuntu.com/ubuntu jammy-security universe # deb-src http://es.archive.ubuntu.com/ubuntu jammy-security universe deb http://security.ubuntu.com/ubuntu jammy-security multiverse # deb-src http://es.archive.ubuntu.com/ubuntu jammy-security multiverse ``` **Save and exit** **Note:** If you have already these lines changed, you are not affected by this bug, and is not necessary to do anything. Simply exit the editor by doing Ctrl-X * Finally, type the next command to refresh the repository pointers: ``` sudo apt update ``` * And optionally take the opportunity to update the system by doing: ``` sudo apt full-upgrade ``` More context: * https://wiki.ubuntu.com/SecurityTeam/FAQ#What_repositories_and_pockets_should_I_use_to_make_sure_my_systems_are_up_to_date.3F * https://bugs.launchpad.net/subiquity/+bug/2033977 * https://www.phoronix.com/news/Ubuntu-Security-Pocket-Issue

@ b17fccdf:b7211155

### **What's changed** * New method for Bitcoin Core signature check, click ~ >[HERE](https://minibolt.minibolt.info/bitcoin/bitcoin/bitcoin-client#signature-check)< ~ * GitHub repo of Bitcoin Core release attestations (Guix), click ~ >[HERE](https://github.com/bitcoin-core/guix.sigs)< ~ --- **History:** ~ > PR that caused the broken and obsolescence of the old signature verification process, click ~ >[HERE](https://github.com/bitcoin/bitcoin/pull/26598)< ~ ~ > New GitHub folder of Bitcoin Core repo that stores the signatures, click ~ >[HERE](https://github.com/bitcoin-core/guix.sigs/tree/main/builder-keys)< ~ --- Thanks to nostr:npub1gzuushllat7pet0ccv9yuhygvc8ldeyhrgxuwg744dn5khnpk3gs3ea5ds for building the command that made magic possible 🧙‍♂️🧡 --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

### **Important notice to MiniBolt node runners:** ~ > It turns out that the I2P devs have opened an issue on the Bitcoin Core GitHub repo commenting that because they gave the option to enable the `notransit=true` parameter in the official documentation: > [...] If you prefer not to relay any public I2P traffic and only allow I2P traffic from programs connecting through the SAM proxy, e.g. Bitcoin Core, you can set the no transit option to true [...] are having a heavy load on the I2P network since last December 19. Also comment that it is advisable to share as much bandwidth and transit tunnels as we can, to increase anonymity with coverage traffic, by contributing more to the I2p network than we consume. So they ask that we deactivate that option that you use activated. With all this, he already updated the "Privacy" section by removing that setting. The steps to delete this configuration once we have already configured it, are the following: * With the "admin" user, stop i2pd: ``` sudo systemctl stop i2pd ``` * Comment line 93 with "#" at the beginning of it (notransit = true), save and exit ``` sudo nano /var/lib/i2pd/i2pd.conf --line numbers ``` * Start i2pd again: ``` sudo systemctl start i2pd ``` * And that's it, you could take a look at Bitcoin Core to see that it has detected i2pd running again after the reboot with: ``` tail --lines 500 -f /home/bitcoin/.bitcoin/debug.log ``` ~ > If you don't see that I2P is up in Bitcoin Core after the restart, `sudo systemctl restart bitcoind` and look again at the logs of the same. --- More info in the rollback commit, see ~> [HERE](https://github.com/twofaktor/minibolt/commit/99cae67a5150bb5b7deae3674cc958eb31c74a75) < ~

@ b17fccdf:b7211155

> Your MiniBolt is on a home local network, you want to expose it on the public Internet (clearnet) without exposing your public IP, without Firewall rules, without NAT port forwarding, without risk, easy and cheap? --- Go to the bonus guide by clicking ~ >[HERE](https://minibolt.minibolt.info/bonus-guides/system/cloudflare-tunnel) <~ --- Enjoy it MiniBolter! 💙

@ b17fccdf:b7211155

> Build your nostr relay step by step on your MiniBolt node! (**easily adaptable to other environment**) No need to trust anyone else! Be sovereign! ~> Go to the bonus guide by clicking ~> [HERE](https://minibolt.minibolt.info/bonus-guides/nostr/nostr-relay)< ~ ~> This guide includes a complete [extra section](https://minibolt.minibolt.info/bonus-guides/nostr/nostr-relay#extras-optional) to cover the different processes for using nostr **as a user and relay operator**. --- PS: The MiniBolt project has its FREE relay, be free to connect by adding to your favorite client the next address: `wss://relay.minibolt.info` ~> Let a review on [noStrudel](https://nostrudel.ninja/#/r/wss%3A%2F%2Frelay.minibolt.info) or [Coracle](https://coracle.social/relays/relay.minibolt.info) of your experience using it. --- Remember, Nostr is freedom! Stay resilient! 💜 🛡️💪

@ b17fccdf:b7211155

### What's changed A bonus guide to get a quick overview of the system status with the most relevant data about the services on the main guide. ----------- #### ➕Additional extra sections (optional) to: * [Show on login](https://minibolt.minibolt.info/bonus-guides/system/system-overview#show-on-login-optional) * [Get the channel.db size of an old LND bbolt database backend](https://minibolt.minibolt.info/bonus-guides/system/system-overview#get-the-channel.db-size-of-an-old-lnd-bbolt-database-backend) * [Use MobaXterm compatibility version](https://minibolt.minibolt.info/bonus-guides/system/system-overview#use-the-mobaxterm-compatibility-version) 🔧 **GitHub PR related**: https://github.com/minibolt-guide/minibolt/pull/97 Σ **Dedicated GitHub repository**: https://github.com/minibolt-guide/system_overview ----------- #### 🫂Acknowledgments This is a fork of the [minibolt_info repository](https://github.com/rmnscb/minibolt_info), the main developer of this project is [rmnscb](https://github.com/rmnscb), a member of the MiniBolt community, all the merits go to him. Thank you for your contribution 🧡🫂 ----------- -> [CLICK HERE](https://minibolt.minibolt.info/bonus-guides/system/system-overview) <- to go to the bonus guide ----------- Enjoy it MiniBolter! 💙

@ ec42c765:328c0600

てすと nostr:nevent1qqst3uqlls4yr9vys4dza2sgjle3ly37trck7jgdmtr23uuz52usjrqqqnjgr nostr:nevent1qqsdvchy5d27zt3z05rr3q6vvmzgslslxwu0p4dfkvxwhmvxldn9djguvagp2 test てｓ

@ ec42c765:328c0600

# カスタム絵文字とは 任意のオリジナル画像を絵文字のように文中に挿入できる機能です。 また、リアクション（Twitterの いいね のような機能）にもカスタム絵文字を使えます。  # カスタム絵文字の対応状況（2025/02/06）  カスタム絵文字を使うためにはカスタム絵文字に対応した[クライアント](https://welcome.nostr-jp.org/tutorial/explore-client.html)を使う必要があります。 ※表は一例です。クライアントは他にもたくさんあります。 使っているクライアントが対応していない場合は、クライアントを変更する、対応するまで待つ、開発者に要望を送る（または自分で実装する）などしましょう。 #### 対応クライアント - [Amethyst](https://play.google.com/store/apps/details?id=com.vitorpamplona.amethyst) - [FreeFrom](https://freefrom.space/) - [nostter](https://nostter.app/) - [Rabbit](https://rabbit.syusui.net/) - [Lumilumi](https://lumilumi.app/) - [Nos Haiku](https://nos-haiku.vercel.app/) - [Snort](https://snort.social/) - [noStrudel](https://nostrudel.ninja/) ここではnostterを使って説明していきます。 # 準備 カスタム絵文字を使うための準備です。 - Nostrエクステンション（NIP-07）を導入する - 使いたいカスタム絵文字をリストに登録する ## Nostrエクステンション（NIP-07）を導入する Nostrエクステンションは使いたいカスタム絵文字を登録する時に必要になります。 また、環境（パソコン、iPhone、androidなど）によって導入方法が違います。 Nostrエクステンションを導入する端末は、実際にNostrを閲覧する端末と違っても構いません（リスト登録はPC、Nostr閲覧はiPhoneなど）。 Nostrエクステンション（NIP-07）の導入方法は以下のページを参照してください。 [ログイン拡張機能 (NIP-07)を使ってみよう | Welcome to Nostr! ～ Nostrをはじめよう！ ～ ](https://welcome.nostr-jp.org/tutorial/nip-07.html) 少し面倒ですが、これを導入しておくとNostr上の様々な場面で役立つのでより快適になります。 ## 使いたいカスタム絵文字をリストに登録する 以下のサイトで行います。 [emojito](https://emojito.meme/) 右上の**Get started**からNostrエクステンションでログインしてください。 例として以下のカスタム絵文字を導入してみます。 実際より絵文字が少なく表示されることがありますが、古い状態のデータを取得してしまっているためです。その場合はブラウザの更新ボタンを押してください。 [generalJP | カスタム絵文字](https://emojito.meme/a/naddr1qqykwetwv4exzmz22qq3uamnwvaz7tmwdaehgun2vykkkctjdyhxset8w4ex7tnrdakj7q3qa3pvwe2p3v7mnjz6hle63r628wl9w567aw7u23fzqs062v5vqcqqxpqqqp65uhjtrk6)  - 右側の**Options**から**Bookmark**を選択  これでカスタム絵文字を使用するためのリストに登録できます。 # カスタム絵文字を使用する 例としてブラウザから使えるクライアント nostter から使用してみます。 [nostter](https://nostter.app/) nostterにNostrエクステンションでログイン、もしくは秘密鍵を入れてログインしてください。 ## 文章中に使用 1. **投稿**ボタンを押して投稿ウィンドウを表示 2. **顔😀**のボタンを押し、絵文字ウィンドウを表示 3. **＊タブ**を押し、カスタム絵文字一覧を表示 4. カスタム絵文字を選択 5. : 記号に挟まれたアルファベットのショートコードとして挿入される  この状態で投稿するとカスタム絵文字として表示されます。 カスタム絵文字対応クライアントを使っている他ユーザーにもカスタム絵文字として表示されます。 対応していないクライアントの場合、ショートコードのまま表示されます。  ショートコードを直接入力することでカスタム絵文字の候補が表示されるのでそこから選択することもできます。  ## リアクションに使用 1. 任意の投稿の**顔😀**のボタンを押し、絵文字ウィンドウを表示 2. **＊タブ**を押し、カスタム絵文字一覧を表示 3. カスタム絵文字を選択  カスタム絵文字リアクションを送ることができます。  # カスタム絵文字を探す 先述した[emojito](https://emojito.meme/)からカスタム絵文字を探せます。 例えば任意のユーザーのページ [emojito ロクヨウ](https://emojito.meme/p/npub1a3pvwe2p3v7mnjz6hle63r628wl9w567aw7u23fzqs062v5vqcqqu3sgh3) から探したり、 [emojito Browse all](https://emojito.meme/browse) からnostr全体で最近作成、更新された絵文字を見たりできます。 また、以下のリンクは日本語圏ユーザーが作ったカスタム絵文字を集めたリストです（2025/02/06） ※漏れがあるかもしれません [日本ユーザー作 カスタム絵文字](https://nostviewstr.vercel.app/npub17hczqvxtfv3w69wr6lxrttnpdekwdwel55mld60fr24zwjuu6utqtj8mjx/10030) 各絵文字セットにある**Open in emojito**のリンクからemojitoに飛び、使用リストに追加できます。 ----------- 以上です。 次：Nostrのカスタム絵文字の**作り方** Yakihonneリンク [Nostrのカスタム絵文字の作り方](https://yakihonne.com/article/_@lokuyow.github.io/1707912490439) Nostrリンク nostr:naddr1qqxnzdesxuunzv358ycrgveeqgswcsk8v4qck0deepdtluag3a9rh0jh2d0wh0w9g53qg8a9x2xqvqqrqsqqqa28r5psx3 ----------- # 仕様 [NIP-30 Custom Emoji](https://github.com/nostr-protocol/nips/blob/master/30.md) [NIP-30 カスタム絵文字（和訳）](https://github.com/nostr-jp/nips-ja/blob/main/30.md)

@ ec42c765:328c0600

# カスタム絵文字とは 任意のオリジナル画像を絵文字のように文中に挿入できる機能です。 また、リアクション（Twitterの いいね のような機能）にもカスタム絵文字を使えます。  # カスタム絵文字の対応状況（2024/02/05）  カスタム絵文字を使うためにはカスタム絵文字に対応した[クライアント](https://welcome.nostr-jp.org/tutorial/explore-client.html)を使う必要があります。 ※表は一例です。クライアントは他にもたくさんあります。 使っているクライアントが対応していない場合は、クライアントを変更する、対応するまで待つ、開発者に要望を送る（または自分で実装する）などしましょう。 #### 対応クライアント - [Amethyst](https://play.google.com/store/apps/details?id=com.vitorpamplona.amethyst) - [FreeFrom](https://freefrom.space/) - [nostter](https://nostter.app/) - [Rabbit](https://rabbit.syusui.net/) - [Snort](https://snort.social/) - [noStrudel](https://nostrudel.ninja/) ここではnostterを使って説明していきます。 # 準備 カスタム絵文字を使うための準備です。 - Nostrエクステンション（NIP-07）を導入する - 使いたいカスタム絵文字をリストに登録する ## Nostrエクステンション（NIP-07）を導入する Nostrエクステンションは使いたいカスタム絵文字を登録する時に必要になります。 また、環境（パソコン、iPhone、androidなど）によって導入方法が違います。 Nostrエクステンションを導入する端末は、実際にNostrを閲覧する端末と違っても構いません（リスト登録はPC、Nostr閲覧はiPhoneなど）。 Nostrエクステンション（NIP-07）の導入方法は以下のページを参照してください。 [ログイン拡張機能 (NIP-07)を使ってみよう | Welcome to Nostr! ～ Nostrをはじめよう！ ～ ](https://welcome.nostr-jp.org/tutorial/nip-07.html) 少し面倒ですが、これを導入しておくとNostr上の様々な場面で役立つのでより快適になります。 ## 使いたいカスタム絵文字をリストに登録する 以下のサイトで行います。 [emojito](https://emojito.meme/) 右上の**Get started**からNostrエクステンションでログインしてください。 例として以下のカスタム絵文字を導入してみます。 実際より絵文字が少なく表示されることがありますが、古い状態のデータを取得してしまっているためです。その場合はブラウザの更新ボタンを押してください。 [generalJP | カスタム絵文字](https://emojito.meme/a/naddr1qqykwetwv4exzmz22qq3uamnwvaz7tmwdaehgun2vykkkctjdyhxset8w4ex7tnrdakj7q3qa3pvwe2p3v7mnjz6hle63r628wl9w567aw7u23fzqs062v5vqcqqxpqqqp65uhjtrk6)  - 右側の**Options**から**Bookmark**を選択  これでカスタム絵文字を使用するためのリストに登録できます。 # カスタム絵文字を使用する 例としてブラウザから使えるクライアント nostter から使用してみます。 [nostter](https://nostter.app/) nostterにNostrエクステンションでログイン、もしくは秘密鍵を入れてログインしてください。 ## 文章中に使用 1. **投稿**ボタンを押して投稿ウィンドウを表示 2. **顔😀**のボタンを押し、絵文字ウィンドウを表示 3. **＊タブ**を押し、カスタム絵文字一覧を表示 4. カスタム絵文字を選択 5. : 記号に挟まれたアルファベットのショートコードとして挿入される  この状態で投稿するとカスタム絵文字として表示されます。 カスタム絵文字対応クライアントを使っている他ユーザーにもカスタム絵文字として表示されます。 対応していないクライアントの場合、ショートコードのまま表示されます。  ショートコードを直接入力することでカスタム絵文字の候補が表示されるのでそこから選択することもできます。  ## リアクションに使用 1. 任意の投稿の**顔😀**のボタンを押し、絵文字ウィンドウを表示 2. **＊タブ**を押し、カスタム絵文字一覧を表示 3. カスタム絵文字を選択  カスタム絵文字リアクションを送ることができます。  # カスタム絵文字を探す 先述した[emojito](https://emojito.meme/)からカスタム絵文字を探せます。 例えば任意のユーザーのページ [emojito ロクヨウ](https://emojito.meme/p/npub1a3pvwe2p3v7mnjz6hle63r628wl9w567aw7u23fzqs062v5vqcqqu3sgh3) から探したり、 [emojito Browse all](https://emojito.meme/browse) からnostr全体で最近作成、更新された絵文字を見たりできます。 また、以下のリンクは日本語圏ユーザーが作ったカスタム絵文字を集めたリストです（2024/06/30） ※漏れがあるかもしれません [日本ユーザー作 カスタム絵文字](https://nostviewstr.vercel.app/npub17hczqvxtfv3w69wr6lxrttnpdekwdwel55mld60fr24zwjuu6utqtj8mjx/10030) 各絵文字セットにある**Open in emojito**のリンクからemojitoに飛び、使用リストに追加できます。 ----------- 以上です。 次：Nostrのカスタム絵文字の**作り方** Yakihonneリンク [Nostrのカスタム絵文字の作り方](https://yakihonne.com/article/_@lokuyow.github.io/1707912490439) Nostrリンク nostr:naddr1qqxnzdesxuunzv358ycrgveeqgswcsk8v4qck0deepdtluag3a9rh0jh2d0wh0w9g53qg8a9x2xqvqqrqsqqqa28r5psx3 ----------- # 仕様 [NIP-30 Custom Emoji](https://github.com/nostr-protocol/nips/blob/master/30.md) [NIP-30 カスタム絵文字（和訳）](https://github.com/nostr-jp/nips-ja/blob/main/30.md)

@ 83279ad2:bd49240d

備忘録として書きます。意外と時間がかかりました。全体で1時間くらいかかるので気長にやりましょう。 仮想通貨取引所(販売所ではないので、玄人が使えばお得らしい）かつBitcoinの送金手数料が無料(全ての取引所が無料ではない、例えばbitbankは0.0006bitcoinかかる)なので送金元はGMOコインを使います。(注意:GMOコインは0.02ビットコイン以下は全額送金になってしまいます) 今回はカストディアルウォレットのWallet of Satoshiに送金します。 以下手順 1. GMOコインでbitcoinを買います。 2. GMOコインの左のタブから入出金 暗号資産を選択します。 3. 送付のタブを開いて、+新しい宛先を追加するを選択します。 4. 送付先:GMOコイン以外、送付先ウォレット：プライベートウォレット(MetaMaskなど)、受取人：ご本人さま　を選んで宛先情報の登録を選ぶと次の画面になります。<br> 5. 宛先名称にwallet of satoshi(これはなんでも良いです わかりやすい名称にしましょう)　wallet of satoshiを開いて、受信→Bitcoin On-Chainからアドレスをコピーして、ビットコインアドレスに貼り付けます。<br> 6. 登録するを押します。これで送金先の登録ができました。GMOコインの審査がありますがすぐ終わると思います。 7. ここから送金をします。送付のタブから登録したビットコインの宛先リストwallet of satoshiを選択し、送付数量と送付目的を選択して、2段階認証をします。<br> 8. 実行を押せば終わりです。もうあなたがやることはありません。送金が終わるのを40分くらい眺めるだけです。<br> 8. 取引履歴のタブから今の送金のステータスが見れます。<br> 9. 15分くらい待つとステータスが受付に変わります。<br> 10. 20分くらい待つとトランザクションIDが表示されます。 <br> <br>この時点からwallet of satoshiにも送金されていることが表示されます。(まだ完了はしていない) <br>  11. ステータスが完了になったら送金終わりです。<br> <br> wallet of satoshiにも反映されます。<br>  ----------- お疲れ様でした！

@ 21ac2956:09d1e2df

## [kakoi](https://github.com/betonetojp/kakoi) の仕様についてのメモ ### キーボード操作 * 左手での操作に最適化 | キー | 動作 | |:-|:-| | ESC | 設定画面 | | F1 / F12 | ポストバーの表示と非表示 | | F2 | 時間の表示と非表示 | | F3 | ユーザーアイコンの表示と非表示 | | F4 | 名前の表示と非表示 | | F5 | Geminiによるタイムラインまとめ画面を表示 | | F9 / Z | コンテンツの折り返し表示の切り替え （余白ダブルクリックでも動作） | | F10 | ユーザーリストとキーワード通知の設定画面 （余白右クリックでも動作） | | F11 | メイン画面の表示と非表示 （ポストバー表示） | | Shift + W | イベント最上行へ移動 | | W / ↑| イベント選択上移動 | | S / ↓ | イベント選択下移動 | | Shift + S | イベント最下行へ移動 | | A / ← | Webビューを開く （イベントを右クリックでも動作） | | F / → | リアクションを送信 （イベントをダブルクリックでも動作） | | 1 ～ 0 | リアクションを選択 | | R | 返信 | | B | リポスト | | Q | 引用 | | C | Webビューを閉じる | | Ctrl + Shift + A | メイン画面をアクティブにする | ### タイムライン * kind:1, 6, 7, 16を取得して表示する * フォロイーの名前の前には * が付く ### フォローリスト（kind:3） * 参照のみで更新はしない * F10 で開くユーザーリストでユーザーを選択し petname セルをクリックすることで未フォローユーザーにもペットネームを設定可能（ローカル保存） ### プロフィール（kind:0） * F10 で開くユーザーリストでユーザーを選択し picture セルをクリックすることでユーザーのアイコン表示を変更可能（ローカル保存） ### 返信（[NIP-10](https://github.com/nostr-protocol/nips/blob/master/10.md) kind:1） * kakoi のタイムラインに流れるすべてのイベント種に返信可能とする * スレッドを考慮せず、単一イベントへの単発返信とする * e タグは marker と返信先 pubkey は設定していない。 relay-url には空文字を設定 ```json ["e", "返信先 event-id", ""] ``` * p タグは 返信先 pubkey ひとつだけを指定 ### リポスト（[NIP-18](https://github.com/nostr-protocol/nips/blob/master/18.md) kind:6 , 16） * kakoi のタイムラインに流れるすべてのイベント種をリポスト可能 * kind:1はkind:6。その他はkind:16でリポストする * e タグは relay-url に空文字を設定 ```json ["e", "リポスト元 event-id", ""] ``` ### 引用（[NIP-18](https://github.com/nostr-protocol/nips/blob/master/18.md) kind:1） * q タグは relay-url に空文字を設定 ```json ["q", "引用元 event-id", ""] ```

@ e3168078:10f13b2c

ノス！ 最近Umbrel上のn8nを使ってstacker newsの記事を要約するNostr botを作ってみました。 その際にFirecrawlというスクレイピングのSaaSを使っていたんですがセルフホストできるようなので試してみました。 Firecrawlは動的なページも読めたりマークダウンへの変換をしてくれますが無料プランだと1ヶ月500ページの制限があり、セルフホストすれば気兼ねなく使えます！ 今回はUmbrel上のPortainerというアプリを使ってFirecrawlを動かせたのでその記録です。 ## 手順 まずはUmbrelにPortainerアプリをインストールします。 Poratinerは今回初めて使ったんですが独自のDockerコンテナをUmbrelで動かす際に推奨されているアプリのようです。  アプリを開いてパスワードの初期設定などを済ませるとダッシュボードが表示されるかと思います。 ここでStackという機能を使ってFirecrawlのDocker composeを一括で取り込むことができます。 新しいStackを作成する画面で以下を入力します。 Repository URL: https://github.com/mendableai/firecrawl Repository reference: refs/heads/main Compose path: docker-compose.**yaml** (デフォルトがymlになっててハマりました…）  上記に加えてenv varを設定する必要があるんですがPortainerでは上記の画像下部にあるように "Load Variables from .env file" からenvファイルを選択できます。 [Firecrawlのgithub](https://github.com/mendableai/firecrawl/blob/main/SELF_HOST.md)にあるように apps/api/.env.example をダウンロードし以下の内容を更新しPortainerに取り込ませます。 ``` USE_DB_AUTHENTICATION=false TEST_API_KEY=fc-test-key ``` あとはDeploy the stackを押して少し待つとfirecrawlのセットアップ完了です。 ## 確認 動作テストにはUmbrelの設定からAdvanced Settings -> Terminal -> Umbrel OSを開き以下のコマンドを実行ししマークダウンが返って来れば成功です。 ``` $ curl -X POST http://localhost:3002/v1/scrape -H 'Authorization: Bearer fc-test-key' -H 'Content-Type: application/json' -d '{ "url": "https://example.com", "formats": ["markdown"] }' {"success":true,"data":{"markdown":"Example Domain\n==============\n\nThis domain is for use in illustrative examples in documents. You may use this domain in literature without prior coordination or asking for permission.\n\n[More information...](https://www.iana.org/domains/example)","metadata":{"title":"Example Domain","ogLocaleAlternate":[],"scrapeId":"7c196348-6561-4ebb-bb8a-9121a29c64b5","viewport":"width=device-width, initial-scale=1","sourceURL":"https://example.com","url":"https://example.com/","statusCode":200}}} ``` またn8n等のUmbrelの他のアプリ（コンテナ）から利用する場合はlocalhostがコンテナ自身になってしまうので別のIP等（172.17.0.1）を使う必要があるのでご注意ください。 （[参考](https://community.n8n.io/t/the-service-refused-the-connection-perhaps-it-is-offline-n8n-and-nocodb/33587?utm_source=chatgpt.com)) 以上でUmbrel上でのFirecrawlセルフホストができるようになりn8nからも制限なく使えるようになりました。

@ 58937958:545e6994

I made croquettes inspired by Spiral's character "Bitcoin (Puppet)."  The method is the same as making regular croquettes. I also tried making a version (right) with the arms and legs attached while shaping the filling, but they fell off before I could coat them in flour.  The face is made with seaweed and sliced cheese. The arms and legs are made with fish cake (hanpen). I brushed soy sauce on the legs and lightly toasted them in a toaster, which gave them a brown color.  The arms and legs are attached using thin spaghetti. When I searched for character-themed bentos (kyaraben), I came across the idea of using dried pasta, which made sense. I used fried spaghetti sticks for attachment. Here’s Bitcoin Croquette squished into a bento box:  Halving  Notes - I tried freezing the filling to help it hold its shape, but it backfired. It stuck to the plate and the cooking paper, and once partially thawed, it became way too watery. Freezing might work with better preparation. - The filling was quite dry when shaping, so it might be better to add a binder (this time, I only used potatoes and sautéed onions). The shape of Bitcoin Puppet was really easy and fun to make, so I’d love to try creating something else next time! nostr:nevent1qqsxgpjvf9g9suhzx5asqhvnlvnarl43kuhas8v5g2ryjr9yjjp0z5ctkh5pt

@ 58937958:545e6994

Spiralのキャラクター「ビットコイン（パペット）」のコロッケを作りました  作り方は一般的なコロッケです 試しにタネの状態で手足をくっつけたバージョン（右）も作りましたが 粉をつける前に手足がもげました  顔はのりとスライスチーズ 手足ははんぺんです 足は醤油をつけてトースターで軽く焼いたら茶色になりました  手足はサラスパでくっつけてます 細いスパゲッティ キャラ弁でググったらサラスパが出てきてなるほどな～と思いました 自分は揚げパスタにして刺しました 弁当箱に押し込まれてるコロッケくん  半減期  メモ - タネを作った時に形を保たせるために冷凍してみたんですけど逆効果だった（皿とクッキングペーパーにくっついて取れなくなった＆半解凍したら水分がすごいことになった）ので冷凍するなら対策が必要そう - 形作るときにかなりパサパサだったので、つなぎがあった方がいいのかも（今回はじゃがいも＆炒めタマネギだけ） ビットコインくんの形はすごく作りやすくて面白いのでまた何か作りたいなぁと思いました nostr:nevent1qqsxgpjvf9g9suhzx5asqhvnlvnarl43kuhas8v5g2ryjr9yjjp0z5ctkh5pt

@ 84b0c46a:417782f5

nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qqs0df2mwnp2q6hm6zjrthkmx3fudwsuwrmgnwrdavpzgjy8nnuqm5cqpd06k nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qqs2muhvnev5367ywuzkhell9my86jlnzhsnuszwl46tnc3fpsx9mtgjkqnu7 nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qqsznnkrl8qdwzgp7ry2hc7a77kwhg440gv9xtmvyfawggrpz3rhwvcx4rckf nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qqsyjf80k3djt96qncgvwl2yem09fdqcc0y9l8t657yc9qg2yhmg7kcnua8vn nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qqs0s3lp0w0yclk64j0tpc5fvrulv78g2lfjz3gcgacw9mt6czek26qtqxuck nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qywhwumn8ghj7mn0wd68ytnrdakhq6tvv5kk2unjdaezumn9wsqs6amnwvaz7tmev9382tndv5qjqamnwvaz7tmjv4kxz7fddfczumn0wd68ytnhd9ex2erwv46zu6nsqqs89tst72clc60wse3zq4qfs0976y7areffnhx26atvu6pv58hg6dsxvcc79 nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qyxhwumn8ghj77tpvf6jumt9qys8wumn8ghj7un9d3shjtt2wqhxummnw3ezuamfwfjkgmn9wshx5uqpr3mhxue69uhhxun5wfjkccte9e3j6um5v4kxcctj9ehx2aqqyp5k40r3ug02yz5y0tn67tm2lwevuwac54qyw3yyct8n8uzr7pjz2q92pyt nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qyxhwumn8ghj77tpvf6jumt9qys8wumn8ghj7un9d3shjtt2wqhxummnw3ezuamfwfjkgmn9wshx5uqqyp9pennjwq2qk4dxpr440wxqm5cfwah4qccd8la62hantxdelkk82ty9mr8 nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qyxhwumn8ghj77tpvf6jumt9qqsz9w30kxzjshwd8sq7jg2hsy2hwqg3zu7gyvxnsyrgfw0ur4rkhsg9v0re4 nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qyxhwumn8ghj77tpvf6jumt9qqs8wkx2r8txt9q69c3zvpqs2em2s40nc8tajmcc5l8ngxn8v2ng3sc43xvzu nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qyxhwumn8ghj77tpvf6jumt9qys8wumn8ghj7un9d3shjtt2wqhxummnw3ezuamfwfjkgmn9wshx5uqqyzdkacpjqvv2y79zgvufx9jh39rd7xa8v056rgn4xelmnmrq9u2tuguswek nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qy2hwumn8ghj7mn0wd68ytnyv96xztngv96hxqpqmdtjrs38fv8r20deplrlt8fma54gu43keuzquzks7673a27ud58slunr8y nostr:nevent1qvzqqqqqqypzpp9sc34tdxdvxh4jeg5xgu9ctcypmvsg0n00vwfjydkrjaqh0qh4qyxhwumn8ghj77tpvf6jumt9qys8wumn8ghj7un9d3shjtt2wqhxummnw3ezuamfwfjkgmn9wshx5uqpr4mhxue69uhkummnw3ezucm0d4cxjmr994jhyun0wghxuet5qqsxzpx2r5hd36pruzn2e58wh947y2t0t205fp5xtstqp5wq0qgcjuq07rqlk

@ 6be5cc06:5259daf0

## Bitcoin: Um sistema de dinheiro eletrônico direto entre pessoas. Satoshi Nakamoto satoshin@gmx.com www.bitcoin.org --- ### Resumo O Bitcoin é uma forma de dinheiro digital que permite pagamentos diretos entre pessoas, sem a necessidade de um banco ou instituição financeira. Ele resolve um problema chamado **gasto duplo**, que ocorre quando alguém tenta gastar o mesmo dinheiro duas vezes. Para evitar isso, o Bitcoin usa uma rede descentralizada onde todos trabalham juntos para verificar e registrar as transações. As transações são registradas em um livro público chamado **blockchain**, protegido por uma técnica chamada **Prova de Trabalho**. Essa técnica cria uma cadeia de registros que não pode ser alterada sem refazer todo o trabalho já feito. Essa cadeia é mantida pelos computadores que participam da rede, e a mais longa é considerada a verdadeira. Enquanto a maior parte do poder computacional da rede for controlada por participantes honestos, o sistema continuará funcionando de forma segura. A rede é flexível, permitindo que qualquer pessoa entre ou saia a qualquer momento, sempre confiando na cadeia mais longa como prova do que aconteceu. --- ### 1. Introdução Hoje, quase todos os pagamentos feitos pela internet dependem de bancos ou empresas como processadores de pagamento (cartões de crédito, por exemplo) para funcionar. Embora esse sistema seja útil, ele tem problemas importantes porque é baseado em **confiança**. Primeiro, essas empresas podem reverter pagamentos, o que é útil em caso de erros, mas cria custos e incertezas. Isso faz com que pequenas transações, como pagar centavos por um serviço, se tornem inviáveis. Além disso, os comerciantes são obrigados a desconfiar dos clientes, pedindo informações extras e aceitando fraudes como algo inevitável. Esses problemas não existem no dinheiro físico, como o papel-moeda, onde o pagamento é final e direto entre as partes. No entanto, não temos como enviar dinheiro físico pela internet sem depender de um intermediário confiável. O que precisamos é de um **sistema de pagamento eletrônico baseado em provas matemáticas**, não em confiança. Esse sistema permitiria que qualquer pessoa enviasse dinheiro diretamente para outra, sem depender de bancos ou processadores de pagamento. Além disso, as transações seriam irreversíveis, protegendo vendedores contra fraudes, mas mantendo a possibilidade de soluções para disputas legítimas. Neste documento, apresentamos o **Bitcoin**, que resolve o problema do gasto duplo usando uma rede descentralizada. Essa rede cria um registro público e protegido por cálculos matemáticos, que garante a ordem das transações. Enquanto a maior parte da rede for controlada por pessoas honestas, o sistema será seguro contra ataques. --- ### 2. Transações Para entender como funciona o Bitcoin, é importante saber como as transações são realizadas. Imagine que você quer transferir uma "moeda digital" para outra pessoa. No sistema do Bitcoin, essa "moeda" é representada por uma sequência de registros que mostram quem é o atual dono. Para transferi-la, você adiciona um novo registro comprovando que agora ela pertence ao próximo dono. Esse registro é protegido por um tipo especial de assinatura digital. #### O que é uma assinatura digital? Uma assinatura digital é como uma senha secreta, mas muito mais segura. No Bitcoin, cada usuário tem duas chaves: uma "chave privada", que é secreta e serve para criar a assinatura, e uma "chave pública", que pode ser compartilhada com todos e é usada para verificar se a assinatura é válida. Quando você transfere uma moeda, usa sua chave privada para assinar a transação, provando que você é o dono. A próxima pessoa pode usar sua chave pública para confirmar isso. #### Como funciona na prática? Cada "moeda" no Bitcoin é, na verdade, uma cadeia de assinaturas digitais. Vamos imaginar o seguinte cenário: 1. A moeda está com o Dono 0 (você). Para transferi-la ao Dono 1, você assina digitalmente a transação com sua chave privada. Essa assinatura inclui o código da transação anterior (chamado de "hash") e a chave pública do Dono 1. 2. Quando o Dono 1 quiser transferir a moeda ao Dono 2, ele assinará a transação seguinte com sua própria chave privada, incluindo também o hash da transação anterior e a chave pública do Dono 2. 3. Esse processo continua, formando uma "cadeia" de transações. Qualquer pessoa pode verificar essa cadeia para confirmar quem é o atual dono da moeda. #### Resolvendo o problema do gasto duplo Um grande desafio com moedas digitais é o "gasto duplo", que é quando uma mesma moeda é usada em mais de uma transação. Para evitar isso, muitos sistemas antigos dependiam de uma entidade central confiável, como uma casa da moeda, que verificava todas as transações. No entanto, isso criava um ponto único de falha e centralizava o controle do dinheiro. O Bitcoin resolve esse problema de forma inovadora: ele usa uma rede descentralizada onde todos os participantes (os "nós") têm acesso a um registro completo de todas as transações. Cada nó verifica se as transações são válidas e se a moeda não foi gasta duas vezes. Quando a maioria dos nós concorda com a validade de uma transação, ela é registrada permanentemente na blockchain. #### Por que isso é importante? Essa solução elimina a necessidade de confiar em uma única entidade para gerenciar o dinheiro, permitindo que qualquer pessoa no mundo use o Bitcoin sem precisar de permissão de terceiros. Além disso, ela garante que o sistema seja seguro e resistente a fraudes. --- ### 3. Servidor Timestamp Para assegurar que as transações sejam realizadas de forma segura e transparente, o sistema Bitcoin utiliza algo chamado de "servidor de registro de tempo" (timestamp). Esse servidor funciona como um registro público que organiza as transações em uma ordem específica. Ele faz isso agrupando várias transações em blocos e criando um código único chamado "hash". Esse hash é como uma impressão digital que representa todo o conteúdo do bloco. O hash de cada bloco é amplamente divulgado, como se fosse publicado em um jornal ou em um fórum público. Esse processo garante que cada bloco de transações tenha um registro de quando foi criado e que ele existia naquele momento. Além disso, cada novo bloco criado contém o hash do bloco anterior, formando uma cadeia contínua de blocos conectados — conhecida como blockchain. Com isso, se alguém tentar alterar qualquer informação em um bloco anterior, o hash desse bloco mudará e não corresponderá ao hash armazenado no bloco seguinte. Essa característica torna a cadeia muito segura, pois qualquer tentativa de fraude seria imediatamente detectada. O sistema de timestamps é essencial para provar a ordem cronológica das transações e garantir que cada uma delas seja única e autêntica. Dessa forma, ele reforça a segurança e a confiança na rede Bitcoin. --- ### 4. Prova-de-Trabalho Para implementar o registro de tempo distribuído no sistema Bitcoin, utilizamos um mecanismo chamado prova-de-trabalho. Esse sistema é semelhante ao Hashcash, desenvolvido por Adam Back, e baseia-se na criação de um código único, o "hash", por meio de um processo computacionalmente exigente. A prova-de-trabalho envolve encontrar um valor especial que, quando processado junto com as informações do bloco, gere um hash que comece com uma quantidade específica de zeros. Esse valor especial é chamado de "nonce". Encontrar o nonce correto exige um esforço significativo do computador, porque envolve tentativas repetidas até que a condição seja satisfeita. Esse processo é importante porque torna extremamente difícil alterar qualquer informação registrada em um bloco. Se alguém tentar mudar algo em um bloco, seria necessário refazer o trabalho de computação não apenas para aquele bloco, mas também para todos os blocos que vêm depois dele. Isso garante a segurança e a imutabilidade da blockchain. A prova-de-trabalho também resolve o problema de decidir qual cadeia de blocos é a válida quando há múltiplas cadeias competindo. A decisão é feita pela cadeia mais longa, pois ela representa o maior esforço computacional já realizado. Isso impede que qualquer indivíduo ou grupo controle a rede, desde que a maioria do poder de processamento seja mantida por participantes honestos. Para garantir que o sistema permaneça eficiente e equilibrado, a dificuldade da prova-de-trabalho é ajustada automaticamente ao longo do tempo. Se novos blocos estiverem sendo gerados rapidamente, a dificuldade aumenta; se estiverem sendo gerados muito lentamente, a dificuldade diminui. Esse ajuste assegura que novos blocos sejam criados aproximadamente a cada 10 minutos, mantendo o sistema estável e funcional. --- ### 5. Rede A rede Bitcoin é o coração do sistema e funciona de maneira distribuída, conectando vários participantes (ou nós) para garantir o registro e a validação das transações. Os passos para operar essa rede são: 1. **Transmissão de Transações**: Quando alguém realiza uma nova transação, ela é enviada para todos os nós da rede. Isso é feito para garantir que todos estejam cientes da operação e possam validá-la. 2. **Coleta de Transações em Blocos**: Cada nó agrupa as novas transações recebidas em um "bloco". Este bloco será preparado para ser adicionado à cadeia de blocos (a blockchain). 3. **Prova-de-Trabalho**: Os nós competem para resolver a prova-de-trabalho do bloco, utilizando poder computacional para encontrar um hash válido. Esse processo é como resolver um quebra-cabeça matemático difícil. 4. **Envio do Bloco Resolvido**: Quando um nó encontra a solução para o bloco (a prova-de-trabalho), ele compartilha esse bloco com todos os outros nós na rede. 5. **Validação do Bloco**: Cada nó verifica o bloco recebido para garantir que todas as transações nele contidas sejam válidas e que nenhuma moeda tenha sido gasta duas vezes. Apenas blocos válidos são aceitos. 6. **Construção do Próximo Bloco**: Os nós que aceitaram o bloco começam a trabalhar na criação do próximo bloco, utilizando o hash do bloco aceito como base (hash anterior). Isso mantém a continuidade da cadeia. #### Resolução de Conflitos e Escolha da Cadeia Mais Longa Os nós sempre priorizam a cadeia mais longa, pois ela representa o maior esforço computacional já realizado, garantindo maior segurança. Se dois blocos diferentes forem compartilhados simultaneamente, os nós trabalharão no primeiro bloco recebido, mas guardarão o outro como uma alternativa. Caso o segundo bloco eventualmente forme uma cadeia mais longa (ou seja, tenha mais blocos subsequentes), os nós mudarão para essa nova cadeia. #### Tolerância a Falhas A rede é robusta e pode lidar com mensagens que não chegam a todos os nós. Uma transação não precisa alcançar todos os nós de imediato; basta que chegue a um número suficiente deles para ser incluída em um bloco. Da mesma forma, se um nó não receber um bloco em tempo hábil, ele pode solicitá-lo ao perceber que está faltando quando o próximo bloco é recebido. Esse mecanismo descentralizado permite que a rede Bitcoin funcione de maneira segura, confiável e resiliente, sem depender de uma autoridade central. --- ### 6. Incentivo O incentivo é um dos pilares fundamentais que sustenta o funcionamento da rede Bitcoin, garantindo que os participantes (nós) continuem operando de forma honesta e contribuindo com recursos computacionais. Ele é estruturado em duas partes principais: a recompensa por mineração e as taxas de transação. #### Recompensa por Mineração Por convenção, o primeiro registro em cada bloco é uma transação especial que cria novas moedas e as atribui ao criador do bloco. Essa recompensa incentiva os mineradores a dedicarem poder computacional para apoiar a rede. Como não há uma autoridade central para emitir moedas, essa é a maneira pela qual novas moedas entram em circulação. Esse processo pode ser comparado ao trabalho de garimpeiros, que utilizam recursos para colocar mais ouro em circulação. No caso do Bitcoin, o "recurso" consiste no tempo de CPU e na energia elétrica consumida para resolver a prova-de-trabalho. #### Taxas de Transação Além da recompensa por mineração, os mineradores também podem ser incentivados pelas taxas de transação. Se uma transação utiliza menos valor de saída do que o valor de entrada, a diferença é tratada como uma taxa, que é adicionada à recompensa do bloco contendo essa transação. Com o passar do tempo e à medida que o número de moedas em circulação atinge o limite predeterminado, essas taxas de transação se tornam a principal fonte de incentivo, substituindo gradualmente a emissão de novas moedas. Isso permite que o sistema opere sem inflação, uma vez que o número total de moedas permanece fixo. #### Incentivo à Honestidade O design do incentivo também busca garantir que os participantes da rede mantenham um comportamento honesto. Para um atacante que consiga reunir mais poder computacional do que o restante da rede, ele enfrentaria duas escolhas: 1. Usar esse poder para fraudar o sistema, como reverter transações e roubar pagamentos. 2. Seguir as regras do sistema, criando novos blocos e recebendo recompensas legítimas. A lógica econômica favorece a segunda opção, pois um comportamento desonesto prejudicaria a confiança no sistema, diminuindo o valor de todas as moedas, incluindo aquelas que o próprio atacante possui. Jogar dentro das regras não apenas maximiza o retorno financeiro, mas também preserva a validade e a integridade do sistema. Esse mecanismo garante que os incentivos econômicos estejam alinhados com o objetivo de manter a rede segura, descentralizada e funcional ao longo do tempo. --- ### 7. Recuperação do Espaço em Disco Depois que uma moeda passa a estar protegida por muitos blocos na cadeia, as informações sobre as transações antigas que a geraram podem ser descartadas para economizar espaço em disco. Para que isso seja possível sem comprometer a segurança, as transações são organizadas em uma estrutura chamada "árvore de Merkle". Essa árvore funciona como um resumo das transações: em vez de armazenar todas elas, guarda apenas um "hash raiz", que é como uma assinatura compacta que representa todo o grupo de transações. Os blocos antigos podem, então, ser simplificados, removendo as partes desnecessárias dessa árvore. Apenas a raiz do hash precisa ser mantida no cabeçalho do bloco, garantindo que a integridade dos dados seja preservada, mesmo que detalhes específicos sejam descartados. Para exemplificar: imagine que você tenha vários recibos de compra. Em vez de guardar todos os recibos, você cria um documento e lista apenas o valor total de cada um. Mesmo que os recibos originais sejam descartados, ainda é possível verificar a soma com base nos valores armazenados. Além disso, o espaço ocupado pelos blocos em si é muito pequeno. Cada bloco sem transações ocupa apenas cerca de 80 bytes. Isso significa que, mesmo com blocos sendo gerados a cada 10 minutos, o crescimento anual em espaço necessário é insignificante: apenas 4,2 MB por ano. Com a capacidade de armazenamento dos computadores crescendo a cada ano, esse espaço continuará sendo trivial, garantindo que a rede possa operar de forma eficiente sem problemas de armazenamento, mesmo a longo prazo. --- ### 8. Verificação de Pagamento Simplificada É possível confirmar pagamentos sem a necessidade de operar um nó completo da rede. Para isso, o usuário precisa apenas de uma cópia dos cabeçalhos dos blocos da cadeia mais longa (ou seja, a cadeia com maior esforço de trabalho acumulado). Ele pode verificar a validade de uma transação ao consultar os nós da rede até obter a confirmação de que tem a cadeia mais longa. Para isso, utiliza-se o ramo Merkle, que conecta a transação ao bloco em que ela foi registrada. Entretanto, o método simplificado possui limitações: ele não pode confirmar uma transação isoladamente, mas sim assegurar que ela ocupa um lugar específico na cadeia mais longa. Dessa forma, se um nó da rede aprova a transação, os blocos subsequentes reforçam essa aceitação. A verificação simplificada é confiável enquanto a maioria dos nós da rede for honesta. Contudo, ela se torna vulnerável caso a rede seja dominada por um invasor. Nesse cenário, um atacante poderia fabricar transações fraudulentas que enganariam o usuário temporariamente até que o invasor obtivesse controle completo da rede. Uma estratégia para mitigar esse risco é configurar alertas nos softwares de nós completos. Esses alertas identificam blocos inválidos, sugerindo ao usuário baixar o bloco completo para confirmar qualquer inconsistência. Para maior segurança, empresas que realizam pagamentos frequentes podem preferir operar seus próprios nós, reduzindo riscos e permitindo uma verificação mais direta e confiável. --- ### 9. Combinando e Dividindo Valor No sistema Bitcoin, cada unidade de valor é tratada como uma "moeda" individual, mas gerenciar cada centavo como uma transação separada seria impraticável. Para resolver isso, o Bitcoin permite que valores sejam combinados ou divididos em transações, facilitando pagamentos de qualquer valor. #### Entradas e Saídas Cada transação no Bitcoin é composta por: - **Entradas**: Representam os valores recebidos em transações anteriores. - **Saídas**: Correspondem aos valores enviados, divididos entre os destinatários e, eventualmente, o troco para o remetente. Normalmente, uma transação contém: - Uma única entrada com valor suficiente para cobrir o pagamento. - Ou várias entradas combinadas para atingir o valor necessário. O valor total das saídas nunca excede o das entradas, e a diferença (se houver) pode ser retornada ao remetente como **troco**. #### Exemplo Prático Imagine que você tem duas entradas: 1. 0,03 BTC 2. 0,07 BTC Se deseja enviar 0,08 BTC para alguém, a transação terá: - **Entrada**: As duas entradas combinadas (0,03 + 0,07 BTC = 0,10 BTC). - **Saídas**: Uma para o destinatário (0,08 BTC) e outra como troco para você (0,02 BTC). Essa flexibilidade permite que o sistema funcione sem precisar manipular cada unidade mínima individualmente. #### Difusão e Simplificação A difusão de transações, onde uma depende de várias anteriores e assim por diante, não representa um problema. Não é necessário armazenar ou verificar o histórico completo de uma transação para utilizá-la, já que o registro na blockchain garante sua integridade. --- ### 10. Privacidade O modelo bancário tradicional oferece um certo nível de privacidade, limitando o acesso às informações financeiras apenas às partes envolvidas e a um terceiro confiável (como bancos ou instituições financeiras). No entanto, o Bitcoin opera de forma diferente, pois todas as transações são publicamente registradas na blockchain. Apesar disso, a privacidade pode ser mantida utilizando **chaves públicas anônimas**, que desvinculam diretamente as transações das identidades das partes envolvidas. #### Fluxo de Informação - No **modelo tradicional**, as transações passam por um terceiro confiável que conhece tanto o remetente quanto o destinatário. - No **Bitcoin**, as transações são anunciadas publicamente, mas sem revelar diretamente as identidades das partes. Isso é comparável a dados divulgados por bolsas de valores, onde informações como o tempo e o tamanho das negociações (a "fita") são públicas, mas as identidades das partes não. #### Protegendo a Privacidade Para aumentar a privacidade no Bitcoin, são adotadas as seguintes práticas: 1. **Chaves Públicas Anônimas**: Cada transação utiliza um par de chaves diferentes, dificultando a associação com um proprietário único. 2. **Prevenção de Ligação**: Ao usar chaves novas para cada transação, reduz-se a possibilidade de links evidentes entre múltiplas transações realizadas pelo mesmo usuário. #### Riscos de Ligação Embora a privacidade seja fortalecida, alguns riscos permanecem: - Transações **multi-entrada** podem revelar que todas as entradas pertencem ao mesmo proprietário, caso sejam necessárias para somar o valor total. - O proprietário da chave pode ser identificado indiretamente por transações anteriores que estejam conectadas. --- ### 11. Cálculos Imagine que temos um sistema onde as pessoas (ou computadores) competem para adicionar informações novas (blocos) a um grande registro público (a cadeia de blocos ou blockchain). Este registro é como um livro contábil compartilhado, onde todos podem verificar o que está escrito. Agora, vamos pensar em um cenário: um atacante quer enganar o sistema. Ele quer mudar informações já registradas para beneficiar a si mesmo, por exemplo, desfazendo um pagamento que já fez. Para isso, ele precisa criar uma versão alternativa do livro contábil (a cadeia de blocos dele) e convencer todos os outros participantes de que essa versão é a verdadeira. Mas isso é extremamente difícil. #### Como o Ataque Funciona Quando um novo bloco é adicionado à cadeia, ele depende de cálculos complexos que levam tempo e esforço. Esses cálculos são como um grande quebra-cabeça que precisa ser resolvido. - Os “bons jogadores” (nós honestos) estão sempre trabalhando juntos para resolver esses quebra-cabeças e adicionar novos blocos à cadeia verdadeira. - O atacante, por outro lado, precisa resolver quebra-cabeças sozinho, tentando “alcançar” a cadeia honesta para que sua versão alternativa pareça válida. Se a cadeia honesta já está vários blocos à frente, o atacante começa em desvantagem, e o sistema está projetado para que a dificuldade de alcançá-los aumente rapidamente. #### A Corrida Entre Cadeias Você pode imaginar isso como uma corrida. A cada bloco novo que os jogadores honestos adicionam à cadeia verdadeira, eles se distanciam mais do atacante. Para vencer, o atacante teria que resolver os quebra-cabeças mais rápido que todos os outros jogadores honestos juntos. Suponha que: - A rede honesta tem **80% do poder computacional** (ou seja, resolve 8 de cada 10 quebra-cabeças). - O atacante tem **20% do poder computacional** (ou seja, resolve 2 de cada 10 quebra-cabeças). Cada vez que a rede honesta adiciona um bloco, o atacante tem que "correr atrás" e resolver mais quebra-cabeças para alcançar. #### Por Que o Ataque Fica Cada Vez Mais Improvável? Vamos usar uma fórmula simples para mostrar como as chances de sucesso do atacante diminuem conforme ele precisa "alcançar" mais blocos: P = (q/p)^z - **q** é o poder computacional do atacante (20%, ou 0,2). - **p** é o poder computacional da rede honesta (80%, ou 0,8). - **z** é a diferença de blocos entre a cadeia honesta e a cadeia do atacante. Se o atacante está 5 blocos atrás (z = 5): P = (0,2 / 0,8)^5 = (0,25)^5 = 0,00098, (ou, 0,098%) Isso significa que o atacante tem menos de 0,1% de chance de sucesso — ou seja, é muito improvável. Se ele estiver 10 blocos atrás (z = 10): P = (0,2 / 0,8)^10 = (0,25)^10 = 0,000000095, (ou, 0,0000095%). Neste caso, as chances de sucesso são praticamente **nulas**. #### Um Exemplo Simples Se você jogar uma moeda, a chance de cair “cara” é de 50%. Mas se precisar de 10 caras seguidas, sua chance já é bem menor. Se precisar de 20 caras seguidas, é quase impossível. No caso do Bitcoin, o atacante precisa de muito mais do que 20 caras seguidas. Ele precisa resolver quebra-cabeças extremamente difíceis e alcançar os jogadores honestos que estão sempre à frente. Isso faz com que o ataque seja inviável na prática. #### Por Que Tudo Isso é Seguro? - **A probabilidade de sucesso do atacante diminui exponencialmente.** Isso significa que, quanto mais tempo passa, menor é a chance de ele conseguir enganar o sistema. - **A cadeia verdadeira (honesta) está protegida pela força da rede.** Cada novo bloco que os jogadores honestos adicionam à cadeia torna mais difícil para o atacante alcançar. #### E Se o Atacante Tentar Continuar? O atacante poderia continuar tentando indefinidamente, mas ele estaria gastando muito tempo e energia sem conseguir nada. Enquanto isso, os jogadores honestos estão sempre adicionando novos blocos, tornando o trabalho do atacante ainda mais inútil. Assim, o sistema garante que a cadeia verdadeira seja extremamente segura e que ataques sejam, na prática, impossíveis de ter sucesso. --- ### 12. Conclusão Propusemos um sistema de transações eletrônicas que elimina a necessidade de confiança, baseando-se em assinaturas digitais e em uma rede peer-to-peer que utiliza prova de trabalho. Isso resolve o problema do gasto duplo, criando um histórico público de transações imutável, desde que a maioria do poder computacional permaneça sob controle dos participantes honestos. A rede funciona de forma simples e descentralizada, com nós independentes que não precisam de identificação ou coordenação direta. Eles entram e saem livremente, aceitando a cadeia de prova de trabalho como registro do que ocorreu durante sua ausência. As decisões são tomadas por meio do poder de CPU, validando blocos legítimos, estendendo a cadeia e rejeitando os inválidos. Com este mecanismo de consenso, todas as regras e incentivos necessários para o funcionamento seguro e eficiente do sistema são garantidos. --- Faça o download do whitepaper original em português: https://bitcoin.org/files/bitcoin-paper/bitcoin_pt_br.pdf

@ 3f770d65:7a745b24

The recent shutdown of TikTok in the United States due to a potential government ban serves as a stark reminder how fragile centralized platforms truly are under the surface. While these platforms offer convenience, a more polished user experience, and connectivity, they are ultimately beholden to governments, corporations, and other authorities. This makes them vulnerable to censorship, regulation, and outright bans. In contrast, Nostr represents a shift in how we approach online communication and content sharing. Built on the principles of decentralization and user choice, Nostr cannot be banned, because it is not a platform—it is a protocol. **PROTOCOLS, NOT PLATFORMS.** At the heart of Nostr's philosophy is **user choice**, a feature that fundamentally sets it apart from legacy platforms. In centralized systems, the user experience is dictated by a single person or governing entity. If the platform decides to filter, censor, or ban specific users or content, individuals are left with little action to rectify the situation. They must either accept the changes or abandon the platform entirely, often at the cost of losing their social connections, their data, and their identity. What's happening with TikTok could never happen on Nostr. With Nostr, the dynamics are completely different. Because it is a protocol, not a platform, no single entity controls the ecosystem. Instead, the protocol enables a network of applications and relays that users can freely choose from. If a particular application or relay implements policies that a user disagrees with, such as censorship, filtering, or even government enforced banning, they are not trapped or abandoned. They have the freedom to move to another application or relay with minimal effort. **THIS IS POWERFUL.** Take, for example, the case of a relay that decides to censor specific content. On a legacy platform, this would result in frustration and a loss of access for users. On Nostr, however, users can simply connect to a different relay that does not impose such restrictions. Similarly, if an application introduces features or policies that users dislike, they can migrate to a different application that better suits their preferences, all while retaining their identity and social connections. The same principles apply to government bans and censorship. A government can ban a specific application or even multiple applications, just as it can block one relay or several relays. China has implemented both tactics, yet Chinese users continue to exist and actively participate on Nostr, demonstrating Nostr's ability to resistant censorship. How? Simply, it turns into a game of whack-a-mole. When one relay is censored, another quickly takes its place. When one application is banned, another emerges. Users can also bypass these obstacles by running their own relays and applications directly from their homes or personal devices, eliminating reliance on larger entities or organizations and ensuring continuous access. **AGAIN, THIS IS POWERUFL.** Nostr's open and decentralized design makes it resistant to the kinds of government intervention that led to TikTok's outages this weekend and potential future ban in the next 90 days. There is no central server to target, no company to regulate, and no single point of failure. (Insert your CEO jokes here). As long as there are individuals running relays and applications, users continue creating notes and sending zaps. Platforms like TikTok can be silenced with the stroke of a pen, leaving millions of users disconnected and abandoned. Social communication should not be silenced so incredibly easily. No one should have that much power over social interactions. Will we on-board a massive wave of TikTokers in the coming hours or days? I don't know. TikTokers may not be ready for Nostr yet, and honestly, Nostr may not be ready for them either. The ecosystem still lacks the completely polished applications, tools, and services they’re accustomed to. This is where we say "we're still early". They may not be early adopters like the current Nostr user base. Until we bridge that gap, they’ll likely move to the next centralized platform, only to face another government ban or round of censorship in the future. But eventually, there will come a tipping point, a moment when they’ve had enough. When that time comes, I hope we’re prepared. If we’re not, we risk missing a tremendous opportunity to onboard people who genuinely need Nostr’s freedom. Until then, to all of the Nostr developers out there, keep up the great work and keep building. Your hard work and determination is needed. ###

@ cff1720e:15c7e2b2

**Einleitung**\ \ Schwierige Dinge einfach zu erklären ist der Anspruch von ELI5 (explain me like I'm 5). Das ist in unserer hoch technisierten Welt dringend erforderlich, denn nur mit dem Verständnis der Technologien können wir sie richtig einsetzen und weiter entwickeln.\ Ich starte meine Serie mit Nostr, einem relativ neuen Internet-Protokoll. Was zum Teufel ist ein Internet-Protokoll? Formal beschrieben sind es internationale Standards, die dafür sorgen, dass das Internet seit über 30 Jahren ziemlich gut funktioniert. Es ist die Sprache, in der sich die Rechner miteinander unterhalten und die auch Sie täglich nutzen, vermutlich ohne es bewusst wahrzunehmen. http(s) transportiert ihre Anfrage an einen Server (z.B. Amazon), und html sorgt dafür, dass aus den gelieferten Daten eine schöne Seite auf ihrem Bildschirm entsteht. Eine Mail wird mit smtp an den Mailserver gesendet und mit imap von ihm abgerufen, und da alle den Standard verwenden, funktioniert das mit jeder App auf jedem Betriebssystem und mit jedem Mail-Provider. Und mit einer Mail-Adresse wie <roland@pareto.space> können sie sogar jederzeit umziehen, egal wohin. **Cool, das ist state of the art!** Aber warum funktioniert das z.B. bei Chat nicht, gibt es da kein Protokoll? Doch, es heißt IRC (Internet Relay Chat → merken sie sich den Namen), aber es wird so gut wie nicht verwendet. Die Gründe dafür sind nicht technischer Natur, vielmehr wurden mit Apps wie Facebook, Twitter, WhatsApp, Telegram, Instagram, TikTok u.a. bewusst Inkompatibilitäten und Nutzerabhängigkeiten geschaffen um Profite zu maximieren.  **Warum Nostr?** Da das Standard-Protokoll nicht genutzt wird, hat jede App ihr eigenes, und wir brauchen eine handvoll Apps um uns mit allen Bekannten auszutauschen. Eine Mobilfunknummer ist Voraussetzung für jedes Konto, damit können die App-Hersteller die Nutzer umfassend tracken und mit dem Verkauf der Informationen bis zu 30 USD je Konto und Monat verdienen. Der Nutzer ist nicht mehr Kunde, er ist das Produkt! Der Werbe-SPAM ist noch das kleinste Problem bei diesem Geschäftsmodell. Server mit Millionen von Nutzerdaten sind ein “honey pot”, dementsprechend oft werden sie gehackt und die Zugangsdaten verkauft. 2024 wurde auch der Twitter-Account vom damaligen Präsidenten Joe Biden gehackt, niemand wusste mehr wer die Nachrichten verfasst hat (vorher auch nicht), d.h. die Authentizität der Inhalte ist bei keinem dieser Anbieter gewährleistet. Im selben Jahr wurde der Telegram-Gründer in Frankreich in Beugehaft genommen, weil er sich geweigert hatte Hintertüren in seine Software einzubauen. Nun kann zum Schutz **"unserer Demokratie”** praktisch jeder mitlesen, was sie mit wem an Informationen austauschen, z.B. darüber welches Shampoo bestimmte Politiker verwenden.   Und wer tatsächlich glaubt er könne Meinungsfreiheit auf sozialen Medien praktizieren, findet sich schnell in der Situation von Donald Trump wieder (seinerzeit amtierender Präsident), dem sein Twitter-Konto 2021 abgeschaltet wurde (Cancel-Culture). Die Nutzerdaten, also ihr Profil, ihre Kontakte, Dokumente, Bilder, Videos und Audiofiles - gehören ihnen ohnehin nicht mehr sondern sind Eigentum des Plattform-Betreibers; lesen sie sich mal die AGB's durch. Aber nein, keine gute Idee, das sind hunderte Seiten und sie werden permanent geändert. Alle nutzen also Apps, deren Technik sie nicht verstehen, deren Regeln sie nicht kennen, wo sie keine Rechte haben und die ihnen die Resultate ihres Handelns stehlen. Was würde wohl der Fünfjährige sagen, wenn ihm seine ältere Schwester anbieten würde, alle seine Spielzeuge zu “verwalten” und dann auszuhändigen wenn er brav ist? “Du spinnst wohl”, und damit beweist der Knirps mehr Vernunft als die Mehrzahl der Erwachsenen. \ \ **Resümee:** keine Standards, keine Daten, keine Rechte = keine Zukunft!  \ **Wie funktioniert Nostr?** Die Entwickler von Nostr haben erkannt dass sich das Server-Client-Konzept in ein Master-Slave-Konzept verwandelt hatte. Der Master ist ein Synonym für Zentralisierung und wird zum **“single point of failure”**, der zwangsläufig Systeme dysfunktional macht. In einem verteilten Peer2Peer-System gibt es keine Master mehr sondern nur gleichberechtigte Knoten (Relays), auf denen die Informationen gespeichert werden. Indem man Informationen auf mehreren Relays redundant speichert, ist das System in jeglicher Hinsicht resilienter. Nicht nur die Natur verwendet dieses Prinzip seit Jahrmillionen erfolgreich, auch das Internet wurde so konzipiert (das ARPAnet wurde vom US-Militär für den Einsatz in Kriegsfällen unter massiven Störungen entwickelt). Alle Nostr-Daten liegen auf Relays und der Nutzer kann wählen zwischen öffentlichen (zumeist kostenlosen) und privaten Relays, z.B. für geschlossene Gruppen oder zum Zwecke von Daten-Archivierung. Da Dokumente auf mehreren Relays gespeichert sind, werden statt URL's (Locator) eindeutige Dokumentnamen (URI's = Identifier) verwendet, broken Links sind damit Vergangenheit und Löschungen / Verluste ebenfalls.\ \ Jedes Dokument (Event genannt) wird vom Besitzer signiert, es ist damit authentisch und fälschungssicher und kann nur vom Ersteller gelöscht werden. Dafür wird ein Schlüsselpaar verwendet bestehend aus privatem (nsec) und öffentlichem Schlüssel (npub) wie aus der Mailverschlüsselung (PGP) bekannt. Das repräsentiert eine Nostr-Identität, die um Bild, Namen, Bio und eine lesbare Nostr-Adresse ergänzt werden kann (z.B. <roland@pareto.space> ), mehr braucht es nicht um alle Ressourcen des Nostr-Ökosystems zu nutzen. Und das besteht inzwischen aus über hundert Apps mit unterschiedlichen Fokussierungen, z.B. für persönliche verschlüsselte Nachrichten (DM → OxChat), Kurznachrichten (Damus, Primal), Blogbeiträge (Pareto), Meetups (Joinstr), Gruppen (Groups), Bilder (Olas), Videos (Amethyst), Audio-Chat (Nostr Nests), Audio-Streams (Tunestr), Video-Streams (Zap.Stream), Marktplätze (Shopstr) u.v.a.m. Die Anmeldung erfolgt mit einem Klick (single sign on) und den Apps stehen ALLE Nutzerdaten zur Verfügung (Profil, Daten, Kontakte, Social Graph → Follower, Bookmarks, Comments, etc.), im Gegensatz zu den fragmentierten Datensilos der Gegenwart.\ \ **Resümee:** ein offener Standard, alle Daten, alle Rechte = große Zukunft!  \ **Warum ist Nostr die Zukunft des Internet?** “Baue Dein Haus nicht auf einem fremden Grundstück” gilt auch im Internet - für alle App-Entwickler, Künstler, Journalisten und Nutzer, denn auch ihre Daten sind werthaltig. Nostr garantiert das Eigentum an den Daten, und überwindet ihre Fragmentierung. Weder die Nutzung noch die kreativen Freiheiten werden durch maßlose Lizenz- und Nutzungsbedingungen eingeschränkt. Aus passiven Nutzern werden durch Interaktion aktive Teilnehmer, Co-Creatoren in einer Sharing-Ökonomie **(Value4Value)**. OpenSource schafft endlich wieder Vertrauen in die Software und ihre Anbieter. Offene Standards ermöglichen den Entwicklern mehr Kooperation und schnellere Entwicklung, für die Anwender garantieren sie Wahlfreiheit. Womit wir letztmalig zu unserem Fünfjährigen zurückkehren. Kinder lieben Lego über alles, am meisten die Maxi-Box “Classic”, weil sie damit ihre Phantasie im Kombinieren voll ausleben können. Erwachsene schenken ihnen dann die viel zu teuren Themenpakete, mit denen man nur eine Lösung nach Anleitung bauen kann. “Was stimmt nur mit meinen Eltern nicht, wann sind die denn falsch abgebogen?" fragt sich der Nachwuchs zu Recht. Das Image lässt sich aber wieder aufpolieren, wenn sie ihren Kindern Nostr zeigen, denn die Vorteile verstehen sogar Fünfjährige.  \ **Das neue Internet ist dezentral. Das neue Internet ist selbstbestimmt. Nostr ist das neue Internet.** <https://nostr.net/> \ <https://start.njump.me/> **Hier das Interview zum Thema mit Radio Berliner Morgenröte** <https://www.podbean.com/ew/pb-yxc36-17bb4be>

@ 9e69e420:d12360c2

A new report from the National Sports Shooting Foundation (NSSF) shows that civilian firearm possession exceeded 490 million in 2022. The total from 1990 to 2022 is estimated at 491.3 million firearms. In 2022, over ten million firearms were domestically produced, leading to a total of 16,045,911 firearms available in the U.S. market. Of these, 9,873,136 were handguns, 4,195,192 were rifles, and 1,977,583 were shotguns. Handgun availability aligns with the concealed carry and self-defense market, as all states allow concealed carry, with 29 having constitutional carry laws.

@ f9cf4e94:96abc355

Para esse exemplo iremos usar: | Nome | Imagem | Descrição | | --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | | Raspberry PI B+ |  | **Cortex-A53 (ARMv8) 64-bit a 1.4GHz e 1 GB de SDRAM LPDDR2,** | | Pen drive |  | **16Gb** | Recomendo que use o **Ubuntu Server** para essa instalação. Você pode baixar o Ubuntu para Raspberry Pi [aqui]( https://ubuntu.com/download/raspberry-pi). O passo a passo para a instalação do Ubuntu no Raspberry Pi está disponível [aqui]( https://ubuntu.com/tutorials/how-to-install-ubuntu-on-your-raspberry-pi). **Não instale um desktop** (como xubuntu, lubuntu, xfce, etc.). --- ## Passo 1: Atualizar o Sistema 🖥️ Primeiro, atualize seu sistema e instale o Tor: ```bash apt update apt install tor ``` --- ## Passo 2: Criar o Arquivo de Serviço `nrs.service` 🔧 Crie o arquivo de serviço que vai gerenciar o servidor Nostr. Você pode fazer isso com o seguinte conteúdo: ```unit [Unit] Description=Nostr Relay Server Service After=network.target [Service] Type=simple WorkingDirectory=/opt/nrs ExecStart=/opt/nrs/nrs-arm64 Restart=on-failure [Install] WantedBy=multi-user.target ``` --- ## Passo 3: Baixar o Binário do Nostr 🚀 Baixe o binário mais recente do Nostr [aqui no GitHub]( https://github.com/gabrielmoura/SimpleNosrtRelay/releases). --- ## Passo 4: Criar as Pastas Necessárias 📂 Agora, crie as pastas para o aplicativo e o pendrive: ```bash mkdir -p /opt/nrs /mnt/edriver ``` --- ## Passo 5: Listar os Dispositivos Conectados 🔌 Para saber qual dispositivo você vai usar, liste todos os dispositivos conectados: ```bash lsblk ``` --- ## Passo 6: Formatando o Pendrive 💾 Escolha o pendrive correto (por exemplo, `/dev/sda`) e formate-o: ```bash mkfs.vfat /dev/sda ``` --- ## Passo 7: Montar o Pendrive 💻 Monte o pendrive na pasta `/mnt/edriver`: ```bash mount /dev/sda /mnt/edriver ``` --- ## Passo 8: Verificar UUID dos Dispositivos 📋 Para garantir que o sistema monte o pendrive automaticamente, liste os UUID dos dispositivos conectados: ```bash blkid ``` --- ## Passo 9: Alterar o `fstab` para Montar o Pendrive Automáticamente 📝 Abra o arquivo `/etc/fstab` e adicione uma linha para o pendrive, com o UUID que você obteve no passo anterior. A linha deve ficar assim: ```fstab UUID=9c9008f8-f852 /mnt/edriver vfat defaults 0 0 ``` --- ## Passo 10: Copiar o Binário para a Pasta Correta 📥 Agora, copie o binário baixado para a pasta `/opt/nrs`: ```bash cp nrs-arm64 /opt/nrs ``` --- ## Passo 11: Criar o Arquivo de Configuração 🛠️ Crie o arquivo de configuração com o seguinte conteúdo e salve-o em `/opt/nrs/config.yaml`: ```yaml app_env: production info: name: Nostr Relay Server description: Nostr Relay Server pub_key: "" contact: "" url: http://localhost:3334 icon: https://external-content.duckduckgo.com/iu/?u= https://public.bnbstatic.com/image/cms/crawler/COINCU_NEWS/image-495-1024x569.png base_path: /mnt/edriver negentropy: true ``` --- ## Passo 12: Copiar o Serviço para o Diretório de Systemd ⚙️ Agora, copie o arquivo `nrs.service` para o diretório `/etc/systemd/system/`: ```bash cp nrs.service /etc/systemd/system/ ``` Recarregue os serviços e inicie o serviço `nrs`: ```bash systemctl daemon-reload systemctl enable --now nrs.service ``` --- ## Passo 13: Configurar o Tor 🌐 Abra o arquivo de configuração do Tor `/var/lib/tor/torrc` e adicione a seguinte linha: ```torrc HiddenServiceDir /var/lib/tor/nostr_server/ HiddenServicePort 80 127.0.0.1:3334 ``` --- ## Passo 14: Habilitar e Iniciar o Tor 🧅 Agora, ative e inicie o serviço Tor: ```bash systemctl enable --now tor.service ``` O Tor irá gerar um endereço `.onion` para o seu servidor Nostr. Você pode encontrá-lo no arquivo `/var/lib/tor/nostr_server/hostname`. --- ## Observações ⚠️ - Com essa configuração, **os dados serão salvos no pendrive**, enquanto o binário ficará no cartão SD do Raspberry Pi. - O endereço `.onion` do seu servidor Nostr será algo como: `ws://y3t5t5wgwjif<exemplo>h42zy7ih6iwbyd.onion`. --- Agora, seu servidor Nostr deve estar configurado e funcionando com Tor! 🥳 Se este artigo e as informações aqui contidas forem úteis para você, convidamos a considerar uma doação ao autor como forma de reconhecimento e incentivo à produção de novos conteúdos.

@ 6389be64:ef439d32

## Black Locust can grow up to 170 ft tall ## Grows 3-4 ft. per year ## Native to North America ## Cold hardy in zones 3 to 8  ## Firewood - BLT wood, on a pound for pound basis is roughly half that of Anthracite Coal - Since its growth is fast, firewood can be plentiful ## Timber  - Rot resistant due to a naturally produced robinin in the wood - 100 year life span in full soil contact! (better than cedar performance) - Fence posts - Outdoor furniture - Outdoor decking - Sustainable due to its fast growth and spread - Can be coppiced (cut to the ground) - Can be pollarded (cut above ground) - Its dense wood makes durable tool handles, boxes (tool), and furniture - The wood is tougher than hickory, which is tougher than hard maple, which is tougher than oak. -  A very low rate of expansion and contraction - Hardwood flooring - The highest tensile beam strength of any American tree - The wood is beautiful ## Legume - Nitrogen fixer - Fixes the same amount of nitrogen per acre as is needed for 200-bushel/acre corn - Black walnuts inter-planted with locust as “nurse” trees were shown to rapidly increase their growth [[Clark, Paul M., and Robert D. Williams. (1978) Black walnut growth increased when interplanted with nitrogen-fixing shrubs and trees. Proceedings of the Indiana Academy of Science, vol. 88, pp. 88-91.]] ## Bees  - The edible flower clusters are also a top food source for honey bees ## Shade Provider  - Its light, airy overstory provides dappled shade - Planted on the west side of a garden it provides relief during the hottest part of the day - (nitrogen provider) - Planted on the west side of a house, its quick growth soon shades that side from the sun ## Wind-break  - Fast growth plus it's feathery foliage reduces wind for animals, crops, and shelters ## Fodder - Over 20% crude protein - 4.1 kcal/g of energy - Baertsche, S.R, M.T. Yokoyama, and J.W. Hanover (1986) Short rotation, hardwood tree biomass as potential ruminant feed-chemical composition, nylon bag ruminal degradation and ensilement of selected species. J. Animal Sci. 63 2028-2043

@ b8851a06:9b120ba1

## **It Begins with a Click** It starts with a click: *“Do you agree to our terms and conditions?”*\ You scroll, you click, you comply. A harmless act, right? But what if every click was a surrender? What if every "yes" was another link in the chain binding you to a life where freedom requires approval? This is the age of permission. Every aspect of your life is mediated by gatekeepers. Governments demand forms, corporations demand clicks, and algorithms demand obedience. You’re free, of course, as long as you play by the rules. But who writes the rules? Who decides what’s allowed? Who owns your life? --- ## **Welcome to Digital Serfdom** We once imagined the internet as a digital frontier—a vast, open space where ideas could flow freely and innovation would know no bounds. But instead of creating a decentralized utopia, we built a new feudal system. - Your data? Owned by the lords of Big Tech. - Your money? Controlled by banks and bureaucrats who can freeze it on a whim. - Your thoughts? Filtered by algorithms that reward conformity and punish dissent. The modern internet is a land of serfs and lords, and guess who’s doing the farming? You. Every time you agree to the terms, accept the permissions, or let an algorithm decide for you, you till the fields of a system designed to control, not liberate. They don’t call it control, of course. They call it *“protection.”* They say, “We’re keeping you safe,” as they build a cage so big you can’t see the bars. --- ## **Freedom in Chains** But let’s be honest: we’re not just victims of this system—we’re participants. We’ve traded freedom for convenience, sovereignty for security. It’s easier to click “I Agree” than to read the fine print. It’s easier to let someone else hold your money than to take responsibility for it yourself. It’s easier to live a life of quiet compliance than to risk the chaos of true independence. We tell ourselves it’s no big deal. What’s one click? What’s one form? But the permissions pile up. The chains grow heavier. And one day, you wake up and realize you’re free to do exactly what the system allows—and nothing more. --- ## **The Great Unpermissioning** It doesn’t have to be this way. You don’t need their approval. You don’t need their systems. You don’t need their permission. The Great Unpermissioning is not a movement—it’s a mindset. It’s the refusal to accept a life mediated by gatekeepers. It’s the quiet rebellion of saying, *“No.”* It’s the realization that the freedom you seek won’t be granted—it must be reclaimed. - **Stop asking.** Permission is their tool. Refusal is your weapon. - **Start building.** Embrace tools that decentralize power: Bitcoin, encryption, open-source software, decentralized communication. Build systems they can’t control. - **Stand firm.** They’ll tell you it’s dangerous. They’ll call you a radical. But remember: the most dangerous thing you can do is comply. The path won’t be easy. Freedom never is. But it will be worth it. --- ## **The New Frontier** The age of permission has turned us into digital serfs, but there’s a new frontier on the horizon. It’s a world where you control your money, your data, your decisions. It’s a world of encryption, anonymity, and sovereignty. It’s a world built not on permission but on principles. This world won’t be given to you. You have to build it. You have to fight for it. And it starts with one simple act: refusing to comply. --- ## **A Final Word** They promised us safety, but what they delivered was submission. The age of permission has enslaved us to the mundane, the monitored, and the mediocre. The Great Unpermissioning isn’t about tearing down the old world—it’s about walking away from it. You don’t need to wait for their approval. You don’t need to ask for their permission. The freedom you’re looking for is already yours. Permission is their power—refusal is yours.

@ 6389be64:ef439d32

Bitcoin is more than money, more than an asset, and more than a store of value. Bitcoin is a Prime Mover, an enabler and it ignites imaginations. It certainly fueled an idea in my mind. The idea integrates sensors, computational prowess, actuated machinery, power conversion, and electronic communications to form an autonomous, machined creature roaming forests and harvesting the most widespread and least energy-dense fuel source available. I call it the Forest Walker and it eats wood, and mines Bitcoin. I know what you're thinking. Why not just put Bitcoin mining rigs where they belong: in a hosted facility sporting electricity from energy-dense fuels like natural gas, climate-controlled with excellent data piping in and out? Why go to all the trouble building a robot that digests wood creating flammable gasses fueling an engine to run a generator powering Bitcoin miners? It's all about synergy. Bitcoin mining enables the realization of multiple, seemingly unrelated, yet useful activities. Activities considered un-profitable if not for Bitcoin as the Prime Mover. This is much more than simply mining the greatest asset ever conceived by humankind. It’s about the power of synergy, which Bitcoin plays only one of many roles. The synergy created by this system can stabilize forests' fire ecology while generating multiple income streams. That’s the realistic goal here and requires a brief history of American Forest management before continuing. # Smokey The Bear In 1944, the Smokey Bear Wildfire Prevention Campaign began in the United States. “Only YOU can prevent forest fires” remains the refrain of the Ad Council’s longest running campaign. The Ad Council is a U.S. non-profit set up by the American Association of Advertising Agencies and the Association of National Advertisers in 1942. It would seem that the U.S. Department of the Interior was concerned about pesky forest fires and wanted them to stop. So, alongside a national policy of extreme fire suppression they enlisted the entire U.S. population to get onboard via the Ad Council and it worked. Forest fires were almost obliterated and everyone was happy, right? Wrong. Smokey is a fantastically successful bear so forest fires became so few for so long that the fuel load - dead wood - in forests has become very heavy. So heavy that when a fire happens (and they always happen) it destroys everything in its path because the more fuel there is the hotter that fire becomes. Trees, bushes, shrubs, and all other plant life cannot escape destruction (not to mention homes and businesses). The soil microbiology doesn’t escape either as it is burned away even in deeper soils. To add insult to injury, hydrophobic waxy residues condense on the soil surface, forcing water to travel over the ground rather than through it eroding forest soils. Good job, Smokey. Well done, Sir! Most terrestrial ecologies are “fire ecologies”. Fire is a part of these systems’ fuel load and pest management. Before we pretended to “manage” millions of acres of forest, fires raged over the world, rarely damaging forests. The fuel load was always too light to generate fires hot enough to moonscape mountainsides. Fires simply burned off the minor amounts of fuel accumulated since the fire before. The lighter heat, smoke, and other combustion gasses suppressed pests, keeping them in check and the smoke condensed into a plant growth accelerant called wood vinegar, not a waxy cap on the soil. These fires also cleared out weak undergrowth, cycled minerals, and thinned the forest canopy, allowing sunlight to penetrate to the forest floor. Without a fire’s heat, many pine tree species can’t sow their seed. The heat is required to open the cones (the seed bearing structure) of Spruce, Cypress, Sequoia, Jack Pine, Lodgepole Pine and many more. Without fire forests can’t have babies. The idea was to protect the forests, and it isn't working. So, in a world of fire, what does an ally look like and what does it do? # Meet The Forest Walker  For the Forest Walker to work as a mobile, autonomous unit, a solid platform that can carry several hundred pounds is required. It so happens this chassis already exists but shelved. Introducing the Legged Squad Support System (LS3). A joint project between Boston Dynamics, DARPA, and the United States Marine Corps, the quadrupedal robot is the size of a cow, can carry 400 pounds (180 kg) of equipment, negotiate challenging terrain, and operate for 24 hours before needing to refuel. Yes, it had an engine. Abandoned in 2015, the thing was too noisy for military deployment and maintenance "under fire" is never a high-quality idea. However, we can rebuild it to act as a platform for the Forest Walker; albeit with serious alterations. It would need to be bigger, probably. Carry more weight? Definitely. Maybe replace structural metal with carbon fiber and redesign much as 3D printable parts for more effective maintenance. The original system has a top operational speed of 8 miles per hour. For our purposes, it only needs to move about as fast as a grazing ruminant. Without the hammering vibrations of galloping into battle, shocks of exploding mortars, and drunken soldiers playing "Wrangler of Steel Machines", time between failures should be much longer and the overall energy consumption much lower. The LS3 is a solid platform to build upon. Now it just needs to be pulled out of the mothballs, and completely refitted with outboard equipment. # The Small Branch Chipper  When I say “Forest fuel load” I mean the dead, carbon containing litter on the forest floor. Duff (leaves), fine-woody debris (small branches), and coarse woody debris (logs) are the fuel that feeds forest fires. Walk through any forest in the United States today and you will see quite a lot of these materials. Too much, as I have described. Some of these fuel loads can be 8 tons per acre in pine and hardwood forests and up to 16 tons per acre at active logging sites. That’s some big wood and the more that collects, the more combustible danger to the forest it represents. It also provides a technically unlimited fuel supply for the Forest Walker system. The problem is that this detritus has to be chewed into pieces that are easily ingestible by the system for the gasification process (we’ll get to that step in a minute). What we need is a wood chipper attached to the chassis (the LS3); its “mouth”. A small wood chipper handling material up to 2.5 - 3.0 inches (6.3 - 7.6 cm) in diameter would eliminate a substantial amount of fuel. There is no reason for Forest Walker to remove fallen trees. It wouldn’t have to in order to make a real difference. It need only identify appropriately sized branches and grab them. Once loaded into the chipper’s intake hopper for further processing, the beast can immediately look for more “food”. This is essentially kindling that would help ignite larger logs. If it’s all consumed by Forest Walker, then it’s not present to promote an aggravated conflagration. I have glossed over an obvious question: How does Forest Walker see and identify branches and such? LiDaR (Light Detection and Ranging) attached to Forest Walker images the local area and feed those data to onboard computers for processing. Maybe AI plays a role. Maybe simple machine learning can do the trick. One thing is for certain: being able to identify a stick and cause robotic appendages to pick it up is not impossible. Great! We now have a quadrupedal robot autonomously identifying and “eating” dead branches and other light, combustible materials. Whilst strolling through the forest, depleting future fires of combustibles, Forest Walker has already performed a major function of this system: making the forest safer. It's time to convert this low-density fuel into a high-density fuel Forest Walker can leverage. Enter the gasification process. # The Gassifier  The gasifier is the heart of the entire system; it’s where low-density fuel becomes the high-density fuel that powers the entire system. Biochar and wood vinegar are process wastes and I’ll discuss why both are powerful soil amendments in a moment, but first, what’s gasification? Reacting shredded carbonaceous material at high temperatures in a low or no oxygen environment converts the biomass into biochar, wood vinegar, heat, and Synthesis Gas (Syngas). Syngas consists primarily of hydrogen, carbon monoxide, and methane. All of which are extremely useful fuels in a gaseous state. Part of this gas is used to heat the input biomass and keep the reaction temperature constant while the internal combustion engine that drives the generator to produce electrical power consumes the rest. Critically, this gasification process is “continuous feed”. Forest Walker must intake biomass from the chipper, process it to fuel, and dump the waste (CO2, heat, biochar, and wood vinegar) continuously. It cannot stop. Everything about this system depends upon this continual grazing, digestion, and excretion of wastes just as a ruminal does. And, like a ruminant, all waste products enhance the local environment. When I first heard of gasification, I didn’t believe that it was real. Running an electric generator from burning wood seemed more akin to “conspiracy fantasy” than science. Not only is gasification real, it’s ancient technology. A man named Dean Clayton first started experiments on gasification in 1699 and in 1901 gasification was used to power a vehicle. By the end of World War II, there were 500,000 Syngas powered vehicles in Germany alone because of fossil fuel rationing during the war. The global gasification market was $480 billion in 2022 and projected to be as much as $700 billion by 2030 (Vantage Market Research). Gasification technology is the best choice to power the Forest Walker because it’s self-contained and we want its waste products. # Biochar: The Waste  Biochar (AKA agricultural charcoal) is fairly simple: it’s almost pure, solid carbon that resembles charcoal. Its porous nature packs large surface areas into small, 3 dimensional nuggets. Devoid of most other chemistry, like hydrocarbons (methane) and ash (minerals), biochar is extremely lightweight. Do not confuse it with the charcoal you buy for your grill. Biochar doesn’t make good grilling charcoal because it would burn too rapidly as it does not contain the multitude of flammable components that charcoal does. Biochar has several other good use cases. Water filtration, water retention, nutrient retention, providing habitat for microscopic soil organisms, and carbon sequestration are the main ones that we are concerned with here. Carbon has an amazing ability to adsorb (substances stick to and accumulate on the surface of an object) manifold chemistries. Water, nutrients, and pollutants tightly bind to carbon in this format. So, biochar makes a respectable filter and acts as a “battery” of water and nutrients in soils. Biochar adsorbs and holds on to seven times its weight in water. Soil containing biochar is more drought resilient than soil without it. Adsorbed nutrients, tightly sequestered alongside water, get released only as plants need them. Plants must excrete protons (H+) from their roots to disgorge water or positively charged nutrients from the biochar's surface; it's an active process. Biochar’s surface area (where adsorption happens) can be 500 square meters per gram or more. That is 10% larger than an official NBA basketball court for every gram of biochar. Biochar’s abundant surface area builds protective habitats for soil microbes like fungi and bacteria and many are critical for the health and productivity of the soil itself. The “carbon sequestration” component of biochar comes into play where “carbon credits” are concerned. There is a financial market for carbon. Not leveraging that market for revenue is foolish. I am climate agnostic. All I care about is that once solid carbon is inside the soil, it will stay there for thousands of years, imparting drought resiliency, fertility collection, nutrient buffering, and release for that time span. I simply want as much solid carbon in the soil because of the undeniably positive effects it has, regardless of any climactic considerations. # Wood Vinegar: More Waste  Another by-product of the gasification process is wood vinegar (Pyroligneous acid). If you have ever seen Liquid Smoke in the grocery store, then you have seen wood vinegar. Principally composed of acetic acid, acetone, and methanol wood vinegar also contains ~200 other organic compounds. It would seem intuitive that condensed, liquefied wood smoke would at least be bad for the health of all living things if not downright carcinogenic. The counter intuition wins the day, however. Wood vinegar has been used by humans for a very long time to promote digestion, bowel, and liver health; combat diarrhea and vomiting; calm peptic ulcers and regulate cholesterol levels; and a host of other benefits. For centuries humans have annually burned off hundreds of thousands of square miles of pasture, grassland, forest, and every other conceivable terrestrial ecosystem. Why is this done? After every burn, one thing becomes obvious: the almost supernatural growth these ecosystems exhibit after the burn. How? Wood vinegar is a component of this growth. Even in open burns, smoke condenses and infiltrates the soil. That is when wood vinegar shows its quality. This stuff beefs up not only general plant growth but seed germination as well and possesses many other qualities that are beneficial to plants. It’s a pesticide, fungicide, promotes beneficial soil microorganisms, enhances nutrient uptake, and imparts disease resistance. I am barely touching a long list of attributes here, but you want wood vinegar in your soil (alongside biochar because it adsorbs wood vinegar as well). # The Internal Combustion Engine  Conversion of grazed forage to chemical, then mechanical, and then electrical energy completes the cycle. The ICE (Internal Combustion Engine) converts the gaseous fuel output from the gasifier to mechanical energy, heat, water vapor, and CO2. It’s the mechanical energy of a rotating drive shaft that we want. That rotation drives the electric generator, which is the heartbeat we need to bring this monster to life. Luckily for us, combined internal combustion engine and generator packages are ubiquitous, delivering a defined energy output given a constant fuel input. It’s the simplest part of the system. The obvious question here is whether the amount of syngas provided by the gasification process will provide enough energy to generate enough electrons to run the entire system or not. While I have no doubt the energy produced will run Forest Walker's main systems the question is really about the electrons left over. Will it be enough to run the Bitcoin mining aspect of the system? Everything is a budget. # CO2 Production For Growth  Plants are lollipops. No matter if it’s a tree or a bush or a shrubbery, the entire thing is mostly sugar in various formats but mostly long chain carbohydrates like lignin and cellulose. Plants need three things to make sugar: CO2, H2O and light. In a forest, where tree densities can be quite high, CO2 availability becomes a limiting growth factor. It’d be in the forest interests to have more available CO2 providing for various sugar formation providing the organism with food and structure. An odd thing about tree leaves, the openings that allow gasses like the ever searched for CO2 are on the bottom of the leaf (these are called stomata). Not many stomata are topside. This suggests that trees and bushes have evolved to find gasses like CO2 from below, not above and this further suggests CO2 might be in higher concentrations nearer the soil. The soil life (bacterial, fungi etc.) is constantly producing enormous amounts of CO2 and it would stay in the soil forever (eventually killing the very soil life that produces it) if not for tidal forces. Water is everywhere and whether in pools, lakes, oceans or distributed in “moist” soils water moves towards to the moon. The water in the soil and also in the water tables below the soil rise toward the surface every day. When the water rises, it expels the accumulated gasses in the soil into the atmosphere and it’s mostly CO2. It’s a good bet on how leaves developed high populations of stomata on the underside of leaves. As the water relaxes (the tide goes out) it sucks oxygenated air back into the soil to continue the functions of soil life respiration. The soil “breathes” albeit slowly. The gasses produced by the Forest Walker’s internal combustion engine consist primarily of CO2 and H2O. Combusting sugars produce the same gasses that are needed to construct the sugars because the universe is funny like that. The Forest Walker is constantly laying down these critical construction elements right where the trees need them: close to the ground to be gobbled up by the trees. # The Branch Drones  During the last ice age, giant mammals populated North America - forests and otherwise. Mastodons, woolly mammoths, rhinos, short-faced bears, steppe bison, caribou, musk ox, giant beavers, camels, gigantic ground-dwelling sloths, glyptodons, and dire wolves were everywhere. Many were ten to fifteen feet tall. As they crashed through forests, they would effectively cleave off dead side-branches of trees, halting the spread of a ground-based fire migrating into the tree crown ("laddering") which is a death knell for a forest. These animals are all extinct now and forests no longer have any manner of pruning services. But, if we build drones fitted with cutting implements like saws and loppers, optical cameras and AI trained to discern dead branches from living ones, these drones could effectively take over pruning services by identifying, cutting, and dropping to the forest floor, dead branches. The dropped branches simply get collected by the Forest Walker as part of its continual mission. The drones dock on the back of the Forest Walker to recharge their batteries when low. The whole scene would look like a grazing cow with some flies bothering it. This activity breaks the link between a relatively cool ground based fire and the tree crowns and is a vital element in forest fire control. # The Bitcoin Miner  Mining is one of four monetary incentive models, making this system a possibility for development. The other three are US Dept. of the Interior, township, county, and electrical utility company easement contracts for fuel load management, global carbon credits trading, and data set sales. All the above depends on obvious questions getting answered. I will list some obvious ones, but this is not an engineering document and is not the place for spreadsheets. How much Bitcoin one Forest Walker can mine depends on everything else. What amount of biomass can we process? Will that biomass flow enough Syngas to keep the lights on? Can the chassis support enough mining ASICs and supporting infrastructure? What does that weigh and will it affect field performance? How much power can the AC generator produce? Other questions that are more philosophical persist. Even if a single Forest Walker can only mine scant amounts of BTC per day, that pales to how much fuel material it can process into biochar. We are talking about millions upon millions of forested acres in need of fuel load management. What can a single Forest Walker do? I am not thinking in singular terms. The Forest Walker must operate as a fleet. What could 50 do? 500? What is it worth providing a service to the world by managing forest fuel loads? Providing proof of work to the global monetary system? Seeding soil with drought and nutrient resilience by the excretion, over time, of carbon by the ton? What did the last forest fire cost? # The Mesh Network  What could be better than one bitcoin mining, carbon sequestering, forest fire squelching, soil amending behemoth? Thousands of them, but then they would need to be able to talk to each other to coordinate position, data handling, etc. Fitted with a mesh networking device, like goTenna or Meshtastic LoRa equipment enables each Forest Walker to communicate with each other. Now we have an interconnected fleet of Forest Walkers relaying data to each other and more importantly, aggregating all of that to the last link in the chain for uplink. Well, at least Bitcoin mining data. Since block data is lightweight, transmission of these data via mesh networking in fairly close quartered environs is more than doable. So, how does data transmit to the Bitcoin Network? How do the Forest Walkers get the previous block data necessary to execute on mining? # Back To The Chain  Getting Bitcoin block data to and from the network is the last puzzle piece. The standing presumption here is that wherever a Forest Walker fleet is operating, it is NOT within cell tower range. We further presume that the nearest Walmart Wi-Fi is hours away. Enter the Blockstream Satellite or something like it. A separate, ground-based drone will have two jobs: To stay as close to the nearest Forest Walker as it can and to provide an antennae for either terrestrial or orbital data uplink. Bitcoin-centric data is transmitted to the "uplink drone" via the mesh networked transmitters and then sent on to the uplink and the whole flow goes in the opposite direction as well; many to one and one to many. We cannot transmit data to the Blockstream satellite, and it will be up to Blockstream and companies like it to provide uplink capabilities in the future and I don't doubt they will. Starlink you say? What’s stopping that company from filtering out block data? Nothing because it’s Starlink’s system and they could decide to censor these data. It seems we may have a problem sending and receiving Bitcoin data in back country environs. But, then again, the utility of this system in staunching the fuel load that creates forest fires is extremely useful around forested communities and many have fiber, Wi-Fi and cell towers. These communities could be a welcoming ground zero for first deployments of the Forest Walker system by the home and business owners seeking fire repression. In the best way, Bitcoin subsidizes the safety of the communities. # Sensor Packages ### LiDaR  The benefit of having a Forest Walker fleet strolling through the forest is the never ending opportunity for data gathering. A plethora of deployable sensors gathering hyper-accurate data on everything from temperature to topography is yet another revenue generator. Data is valuable and the Forest Walker could generate data sales to various government entities and private concerns. LiDaR (Light Detection and Ranging) can map topography, perform biomass assessment, comparative soil erosion analysis, etc. It so happens that the Forest Walker’s ability to “see,” to navigate about its surroundings, is LiDaR driven and since it’s already being used, we can get double duty by harvesting that data for later use. By using a laser to send out light pulses and measuring the time it takes for the reflection of those pulses to return, very detailed data sets incrementally build up. Eventually, as enough data about a certain area becomes available, the data becomes useful and valuable. Forestry concerns, both private and public, often use LiDaR to build 3D models of tree stands to assess the amount of harvest-able lumber in entire sections of forest. Consulting companies offering these services charge anywhere from several hundred to several thousand dollars per square kilometer for such services. A Forest Walker generating such assessments on the fly while performing its other functions is a multi-disciplinary approach to revenue generation. ### pH, Soil Moisture, and Cation Exchange Sensing  The Forest Walker is quadrupedal, so there are four contact points to the soil. Why not get a pH data point for every step it takes? We can also gather soil moisture data and cation exchange capacities at unheard of densities because of sampling occurring on the fly during commission of the system’s other duties. No one is going to build a machine to do pH testing of vast tracts of forest soils, but that doesn’t make the data collected from such an endeavor valueless. Since the Forest Walker serves many functions at once, a multitude of data products can add to the return on investment component. ### Weather Data  Temperature, humidity, pressure, and even data like evapotranspiration gathered at high densities on broad acre scales have untold value and because the sensors are lightweight and don’t require large power budgets, they come along for the ride at little cost. But, just like the old mantra, “gas, grass, or ass, nobody rides for free”, these sensors provide potential revenue benefits just by them being present. I’ve touched on just a few data genres here. In fact, the question for universities, governmental bodies, and other institutions becomes, “How much will you pay us to attach your sensor payload to the Forest Walker?” # Noise Suppression  Only you can prevent Metallica filling the surrounds with 120 dB of sound. Easy enough, just turn the car stereo off. But what of a fleet of 50 Forest Walkers operating in the backcountry or near a township? 500? 5000? Each one has a wood chipper, an internal combustion engine, hydraulic pumps, actuators, and more cooling fans than you can shake a stick at. It’s a walking, screaming fire-breathing dragon operating continuously, day and night, twenty-four hours a day, three hundred sixty-five days a year. The sound will negatively affect all living things and that impacts behaviors. Serious engineering consideration and prowess must deliver a silencing blow to the major issue of noise. It would be foolish to think that a fleet of Forest Walkers could be silent, but if not a major design consideration, then the entire idea is dead on arrival. Townships would not allow them to operate even if they solved the problem of widespread fuel load and neither would governmental entities, and rightly so. Nothing, not man nor beast, would want to be subjected to an eternal, infernal scream even if it were to end within days as the fleet moved further away after consuming what it could. Noise and heat are the only real pollutants of this system; taking noise seriously from the beginning is paramount. # Fire Safety  A “fire-breathing dragon” is not the worst description of the Forest Walker. It eats wood, combusts it at very high temperatures and excretes carbon; and it does so in an extremely flammable environment. Bad mix for one Forest Walker, worse for many. One must take extreme pains to ensure that during normal operation, a Forest Walker could fall over, walk through tinder dry brush, or get pounded into the ground by a meteorite from Krypton and it wouldn’t destroy epic swaths of trees and baby deer. I envision an ultimate test of a prototype to include dowsing it in grain alcohol while it’s wrapped up in toilet paper like a pledge at a fraternity party. If it runs for 72 hours and doesn’t set everything on fire, then maybe outside entities won’t be fearful of something that walks around forests with a constant fire in its belly. # The Wrap  How we think about what can be done with and adjacent to Bitcoin is at least as important as Bitcoin’s economic standing itself. For those who will tell me that this entire idea is without merit, I say, “OK, fine. You can come up with something, too.” What can we plug Bitcoin into that, like a battery, makes something that does not work, work? That’s the lesson I get from this entire exercise. No one was ever going to hire teams of humans to go out and "clean the forest". There's no money in that. The data collection and sales from such an endeavor might provide revenues over the break-even point but investment demands Alpha in this day and age. But, plug Bitcoin into an almost viable system and, voilà! We tip the scales to achieve lift-off. Let’s face it, we haven’t scratched the surface of Bitcoin’s forcing function on our minds. Not because it’s Bitcoin, but because of what that invention means. The question that pushes me to approach things this way is, “what can we create that one system’s waste is another system’s feedstock?” The Forest Walker system’s only real waste is the conversion of low entropy energy (wood and syngas) into high entropy energy (heat and noise). All other output is beneficial to humanity. Bitcoin, I believe, is the first product of a new mode of human imagination. An imagination newly forged over the past few millennia of being lied to, stolen from, distracted and otherwise mis-allocated to a black hole of the nonsensical. We are waking up. What I have presented is not science fiction. Everything I have described here is well within the realm of possibility. The question is one of viability, at least in terms of the detritus of the old world we find ourselves departing from. This system would take a non-trivial amount of time and resources to develop. I think the system would garner extensive long-term contracts from those who have the most to lose from wildfires, the most to gain from hyperaccurate data sets, and, of course, securing the most precious asset in the world. Many may not see it that way, for they seek Alpha and are therefore blind to other possibilities. Others will see only the possibilities; of thinking in a new way, of looking at things differently, and dreaming of what comes next.

@ e3ba5e1a:5e433365

My blog posts and reading material have both been on a decidedly economics-heavy slant recently. The topic today, incentives, squarely falls into the category of economics. However, when I say economics, I’m not talking about “analyzing supply and demand curves.” I’m talking about the true basis of economics: understanding how human beings make decisions in a world of scarcity. A fair definition of incentive is “a reward or punishment that motivates behavior to achieve a desired outcome.” When most people think about economic incentives, they’re thinking of money. If I offer my son $5 if he washes the dishes, I’m incentivizing certain behavior. We can’t guarantee that he’ll do what I want him to do, but we can agree that the incentive structure itself will guide and ultimately determine what outcome will occur. The great thing about monetary incentives is how easy they are to talk about and compare. “Would I rather make $5 washing the dishes or $10 cleaning the gutters?” But much of the world is incentivized in non-monetary ways too. For example, using the “punishment” half of the definition above, I might threaten my son with losing Nintendo Switch access if he doesn’t wash the dishes. No money is involved, but I’m still incentivizing behavior. And there are plenty of incentives beyond our direct control\! My son is *also* incentivized to not wash dishes because it’s boring, or because he has some friends over that he wants to hang out with, or dozens of other things. Ultimately, the conflicting array of different incentive structures placed on him will ultimately determine what actions he chooses to take. ## Why incentives matter A phrase I see often in discussions—whether they are political, parenting, economic, or business—is “if they could **just** do…” Each time I see that phrase, I cringe a bit internally. Usually, the underlying assumption of the statement is “if people would behave contrary to their incentivized behavior then things would be better.” For example: * If my kids would just go to bed when I tell them, they wouldn’t be so cranky in the morning. * If people would just use the recycling bin, we wouldn’t have such a landfill problem. * If people would just stop being lazy, our team would deliver our project on time. In all these cases, the speakers are seemingly flummoxed as to why the people in question don’t behave more rationally. The problem is: each group is behaving perfectly rationally. * The kids have a high time preference, and care more about the joy of staying up now than the crankiness in the morning. Plus, they don’t really suffer the consequences of morning crankiness, their parents do. * No individual suffers much from their individual contribution to a landfill. If they stopped growing the size of the landfill, it would make an insignificant difference versus the amount of effort they need to engage in to properly recycle. * If a team doesn’t properly account for the productivity of individuals on a project, each individual receives less harm from their own inaction. Sure, the project may be delayed, company revenue may be down, and they may even risk losing their job when the company goes out of business. But their laziness individually won’t determine the entirety of that outcome. By contrast, they greatly benefit from being lazy by getting to relax at work, go on social media, read a book, or do whatever else they do when they’re supposed to be working.  My point here is that, as long as you ignore the reality of how incentives drive human behavior, you’ll fail at getting the outcomes you want. If everything I wrote up until now made perfect sense, you understand the premise of this blog post. The rest of it will focus on a bunch of real-world examples to hammer home the point, and demonstrate how versatile this mental model is. ## Running a company Let’s say I run my own company, with myself as the only employee. My personal revenue will be 100% determined by my own actions. If I decide to take Tuesday afternoon off and go fishing, I’ve chosen to lose that afternoon’s revenue. Implicitly, I’ve decided that the enjoyment I get from an afternoon of fishing is greater than the potential revenue. You may think I’m being lazy, but it’s my decision to make. In this situation, the incentive–money–is perfectly aligned with my actions. Compare this to a typical company/employee relationship. I might have a bank of Paid Time Off (PTO) days, in which case once again my incentives are relatively aligned. I know that I can take off 15 days throughout the year, and I’ve chosen to use half a day for the fishing trip. All is still good. What about unlimited time off? Suddenly incentives are starting to misalign. I don’t directly pay a price for not showing up to work on Tuesday. Or Wednesday as well, for that matter. I might ultimately be fired for not doing my job, but that will take longer to work its way through the system than simply not making any money for the day taken off. Compensation overall falls into this misaligned incentive structure. Let’s forget about taking time off. Instead, I work full time on a software project I’m assigned. But instead of using the normal toolchain we’re all used to at work, I play around with a new programming language. I get the fun and joy of playing with new technology, and potentially get to pad my resume a bit when I’m ready to look for a new job. But my current company gets slower results, less productivity, and is forced to subsidize my extracurricular learning. When a CEO has a bonus structure based on profitability, he’ll do everything he can to make the company profitable. This might include things that actually benefit the company, like improving product quality, reducing internal red tape, or finding cheaper vendors. But it might also include destructive practices, like slashing the R\&D budget to show massive profits this year, in exchange for a catastrophe next year when the next version of the product fails to ship.  Or my favorite example. My parents owned a business when I was growing up. They had a back office where they ran operations like accounting. All of the furniture was old couches from our house. After all, any money they spent on furniture came right out of their paychecks\! But in a large corporate environment, each department is generally given a budget for office furniture, a budget which doesn’t roll over year-to-year. The result? Executives make sure to spend the entire budget each year, often buying furniture far more expensive than they would choose if it was their own money. There are plenty of details you can quibble with above. It’s in a company’s best interest to give people downtime so that they can come back recharged. Having good ergonomic furniture can in fact increase productivity in excess of the money spent on it. But overall, the picture is pretty clear: in large corporate structures, you’re guaranteed to have mismatches between the company’s goals and the incentive structure placed on individuals. Using our model from above, we can lament how lazy, greedy, and unethical the employees are for doing what they’re incentivized to do instead of what’s right. But that’s simply ignoring the reality of human nature. # Moral hazard Moral hazard is a situation where one party is incentivized to take on more risk because another party will bear the consequences. Suppose I tell my son when he turns 21 (or whatever legal gambling age is) that I’ll cover all his losses for a day at the casino, but he gets to keep all the winnings. What do you think he’s going to do? The most logical course of action is to place the largest possible bets for as long as possible, asking me to cover each time he loses, and taking money off the table and into his bank account each time he wins.  But let’s look at a slightly more nuanced example. I go to a bathroom in the mall. As I’m leaving, I wash my hands. It will take me an extra 1 second to turn off the water when I’m done washing. That’s a trivial price to pay. If I *don’t* turn off the water, the mall will have to pay for many liters of wasted water, benefiting no one. But I won’t suffer any consequences at all. This is also a moral hazard, but most people will still turn off the water. Why? Usually due to some combination of other reasons such as: 1. We’re so habituated to turning off the water that we don’t even consider *not* turning it off. Put differently, the mental effort needed to not turn off the water is more expensive than the 1 second of time to turn it off. 2. Many of us have been brought up with a deep guilt about wasting resources like water. We have an internal incentive structure that makes the 1 second to turn off the water much less costly than the mental anguish of the waste we created. 3. We’re afraid we’ll be caught by someone else and face some kind of social repercussions. (Or maybe more than social. Are you sure there isn’t a law against leaving the water tap on?) Even with all that in place, you may notice that many public bathrooms use automatic water dispensers. Sure, there’s a sanitation reason for that, but it’s also to avoid this moral hazard. A common denominator in both of these is that the person taking the action that causes the liability (either the gambling or leaving the water on) is not the person who bears the responsibility for that liability (the father or the mall owner). Generally speaking, the closer together the person making the decision and the person incurring the liability are, the smaller the moral hazard. It’s easy to demonstrate that by extending the casino example a bit. I said it was the father who was covering the losses of the gambler. Many children (though not all) would want to avoid totally bankrupting their parents, or at least financially hurting them. Instead, imagine that someone from the IRS shows up at your door, hands you a credit card, and tells you you can use it at a casino all day, taking home all the chips you want. The money is coming from the government. How many people would put any restriction on how much they spend? And since we’re talking about the government already… ## Government moral hazards As I was preparing to write this blog post, the California wildfires hit. The discussions around those wildfires gave a *huge* number of examples of moral hazards. I decided to cherry-pick a few for this post. The first and most obvious one: California is asking for disaster relief funds from the federal government. That sounds wonderful. These fires were a natural disaster, so why shouldn’t the federal government pitch in and help take care of people? The problem is, once again, a moral hazard. In the case of the wildfires, California and Los Angeles both had ample actions they could have taken to mitigate the destruction of this fire: better forest management, larger fire department, keeping the water reservoirs filled, and probably much more that hasn’t come to light yet. If the federal government bails out California, it will be a clear message for the future: your mistakes will be fixed by others. You know what kind of behavior that incentivizes? More risky behavior\! Why spend state funds on forest management and extra firefighters—activities that don’t win politicians a lot of votes in general—when you could instead spend it on a football stadium, higher unemployment payments, or anything else, and then let the feds cover the cost of screw-ups. You may notice that this is virtually identical to the 2008 “too big to fail” bail-outs. Wall Street took insanely risky behavior, reaped huge profits for years, and when they eventually got caught with their pants down, the rest of us bailed them out. “Privatizing profits, socializing losses.”  And here’s the absolute best part of this: I can’t even truly blame either California *or* Wall Street. (I mean, I *do* blame them, I think their behavior is reprehensible, but you’ll see what I mean.) In a world where the rules of the game implicitly include the bail-out mentality, you would be harming your citizens/shareholders/investors if you didn’t engage in that risky behavior. Since everyone is on the hook for those socialized losses, your best bet is to maximize those privatized profits. There’s a lot more to government and moral hazard, but I think these two cases demonstrate the crux pretty solidly. But let’s leave moral hazard behind for a bit and get to general incentivization discussions. # Non-monetary competition At least 50% of the economics knowledge I have comes from the very first econ course I took in college. That professor was amazing, and had some very colorful stories. I can’t vouch for the veracity of the two I’m about to share, but they definitely drive the point home. In the 1970s, the US had an oil shortage. To “fix” this problem, they instituted price caps on gasoline, which of course resulted in insufficient gasoline. To “fix” this problem, they instituted policies where, depending on your license plate number, you could only fill up gas on certain days of the week. (Irrelevant detail for our point here, but this just resulted in people filling up their tanks more often, no reduction in gas usage.) Anyway, my professor’s wife had a friend. My professor described in *great* detail how attractive this woman was. I’ll skip those details here since this is a PG-rated blog. In any event, she never had any trouble filling up her gas tank any day of the week. She would drive up, be told she couldn’t fill up gas today, bat her eyes at the attendant, explain how helpless she was, and was always allowed to fill up gas. This is a demonstration of *non-monetary compensation*. Most of the time in a free market, capitalist economy, people are compensated through money. When price caps come into play, there’s a limit to how much monetary compensation someone can receive. And in that case, people find other ways of competing. Like this woman’s case: through using flirtatious behavior to compensate the gas station workers to let her cheat the rules. The other example was much more insidious. Santa Monica had a problem: it was predominantly wealthy and white. They wanted to fix this problem, and decided to put in place rent controls. After some time, they discovered that Santa Monica had become *wealthier and whiter*, the exact opposite of their desired outcome. Why would that happen? Someone investigated, and ended up interviewing a landlady that demonstrated the reason. She was an older white woman, and admittedly racist. Prior to the rent controls, she would list her apartments in the newspaper, and would be legally obligated to rent to anyone who could afford it. Once rent controls were in place, she took a different tact. She knew that she would only get a certain amount for the apartment, and that the demand for apartments was higher than the supply. That meant she could be picky. She ended up finding tenants through friends-of-friends. Since it wasn’t an official advertisement, she wasn’t legally required to rent it out if someone could afford to pay. Instead, she got to interview people individually and then make them an offer. Normally, that would have resulted in receiving a lower rental price, but not under rent controls. So who did she choose? A young, unmarried, wealthy, white woman. It made perfect sense. Women were less intimidating and more likely to maintain the apartment better. Wealthy people, she determined, would be better tenants. (I have no idea if this is true in practice or not, I’m not a landlord myself.) Unmarried, because no kids running around meant less damage to the property. And, of course, white. Because she was racist, and her incentive structure made her prefer whites. You can deride her for being racist, I won’t disagree with you. But it’s simply the reality. Under the non-rent-control scenario, her profit motive for money outweighed her racism motive. But under rent control, the monetary competition was removed, and she was free to play into her racist tendencies without facing any negative consequences. ## Bureaucracy These were the two examples I remember for that course. But non-monetary compensation pops up in many more places. One highly pertinent example is bureaucracies. Imagine you have a government office, or a large corporation’s acquisition department, or the team that apportions grants at a university. In all these cases, you have a group of people making decisions about handing out money that has no monetary impact on them. If they give to the best qualified recipients, they receive no raises. If they spend the money recklessly on frivolous projects, they face no consequences. Under such an incentivization scheme, there’s little to encourage the bureaucrats to make intelligent funding decisions. Instead, they’ll be incentivized to spend the money where they recognize non-monetary benefits. This is why it’s so common to hear about expensive meals, gift bags at conferences, and even more inappropriate ways of trying to curry favor with those that hold the purse strings. Compare that ever so briefly with the purchases made by a small mom-and-pop store like my parents owned. Could my dad take a bribe to buy from a vendor who’s ripping him off? Absolutely he could\! But he’d lose more on the deal than he’d make on the bribe, since he’s directly incentivized by the deal itself. It would make much more sense for him to go with the better vendor, save $5,000 on the deal, and then treat himself to a lavish $400 meal to celebrate. # Government incentivized behavior This post is getting longer in the tooth than I’d intended, so I’ll finish off with this section and make it a bit briefer. Beyond all the methods mentioned above, government has another mechanism for modifying behavior: through directly changing incentives via legislation, regulation, and monetary policy. Let’s see some examples: * Artificial modification of interest rates encourages people to take on more debt than they would in a free capital market, leading to [malinvestment](https://en.wikipedia.org/wiki/Malinvestment) and a consumer debt crisis, and causing the boom-bust cycle we all painfully experience. * Going along with that, giving tax breaks on interest payments further artificially incentivizes people to take on debt that they wouldn’t otherwise. * During COVID-19, at some points unemployment benefits were greater than minimum wage, incentivizing people to rather stay home and not work than get a job, leading to reduced overall productivity in the economy and more printed dollars for benefits. In other words, it was a perfect recipe for inflation. * The tax code gives deductions to “help” people. That might be true, but the real impact is incentivizing people to make decisions they wouldn’t have otherwise. For example, giving out tax deductions on children encourages having more kids. Tax deductions on childcare and preschools incentivizes dual-income households. Whether or not you like the outcomes, it’s clear that it’s government that’s encouraging these outcomes to happen. * Tax incentives cause people to engage in behavior they wouldn’t otherwise (daycare+working mother, for example). * Inflation means that the value of your money goes down over time, which encourages people to spend more today, when their money has a larger impact. (Milton Friedman described this as [high living](https://www.youtube.com/watch?v=ZwNDd2_beTU).) # Conclusion The idea here is simple, and fully encapsulated in the title: incentives determine outcomes. If you want to know how to get a certain outcome from others, incentivize them to want that to happen. If you want to understand why people act in seemingly irrational ways, check their incentives. If you’re confused why leaders (and especially politicians) seem to engage in destructive behavior, check their incentives. We can bemoan these realities all we want, but they *are* realities. While there are some people who have a solid internal moral and ethical code, and that internal code incentivizes them to behave against their externally-incentivized interests, those people are rare. And frankly, those people are self-defeating. People *should* take advantage of the incentives around them. Because if they don’t, someone else will. (If you want a literary example of that last comment, see the horse in Animal Farm.) How do we improve the world under these conditions? Make sure the incentives align well with the overall goals of society. To me, it’s a simple formula: * Focus on free trade, value for value, as the basis of a society. In that system, people are always incentivized to provide value to other people. * Reduce the size of bureaucracies and large groups of all kinds. The larger an organization becomes, the farther the consequences of decisions are from those who make them. * And since the nature of human beings will be to try and create areas where they can control the incentive systems to their own benefits, make that as difficult as possible. That comes in the form of strict limits on government power, for example. And even if you don’t want to buy in to this conclusion, I hope the rest of the content was educational, and maybe a bit entertaining\!

@ 3f770d65:7a745b24

I’ve been using Notedeck for several months, starting with its extremely early and experimental alpha versions, all the way to its current, more stable alpha releases. The journey has been fascinating, as I’ve had the privilege of watching it evolve from a concept into a functional and promising tool. In its earliest stages, Notedeck was raw—offering glimpses of its potential but still far from practical for daily use. Even then, the vision behind it was clear: a platform designed to redefine how we interact with Nostr by offering flexibility and power for all users. I'm very bullish on Notedeck. Why? Because Will Casarin is making it! Duh! 😂 Seriously though, if we’re reimagining the web and rebuilding portions of the Internet, it’s important to recognize [the potential of Notedeck](https://damus.io/notedeck/). If Nostr is reimagining the web, then Notedeck is reimagining the Nostr client. Notedeck isn’t just another Nostr app—it’s more a Nostr browser that functions more like an operating system with micro-apps. How cool is that? Much like how Google's Chrome evolved from being a web browser with a task manager into ChromeOS, a full blown operating system, Notedeck aims to transform how we interact with the Nostr. It goes beyond individual apps, offering a foundation for a fully integrated ecosystem built around Nostr. As a Nostr evangelist, I love to scream **INTEROPERABILITY** and tout every application's integrations. Well, Notedeck has the potential to be one of the best platforms to showcase these integrations in entirely new and exciting ways. Do you want an Olas feed of images? Add the media column. Do you want a feed of live video events? Add the zap.stream column. Do you want Nostr Nests or audio chats? Add that column to your Notedeck. Git? Email? Books? Chat and DMs? It's all possible. Not everyone wants a super app though, and that’s okay. As with most things in the Nostr ecosystem, flexibility is key. Notedeck gives users the freedom to choose how they engage with it—whether it’s simply following hashtags or managing straightforward feeds. You'll be able to tailor Notedeck to fit your needs, using it as extensively or minimally as you prefer. Notedeck is designed with a local-first approach, utilizing Nostr content stored directly on your device via the local nostrdb. This will enable a plethora of advanced tools such as search and filtering, the creation of custom feeds, and the ability to develop personalized algorithms across multiple Notedeck micro-applications—all with unparalleled flexibility. Notedeck also supports multicast. Let's geek out for a second. Multicast is a method of communication where data is sent from one source to multiple destinations simultaneously, but only to devices that wish to receive the data. Unlike broadcast, which sends data to all devices on a network, multicast targets specific receivers, reducing network traffic. This is commonly used for efficient data distribution in scenarios like streaming, conferencing, or large-scale data synchronization between devices. > In a local first world where each device holds local copies of your nostr nodes, and each device transparently syncs with each other on the local network, each node becomes a backup. Your data becomes antifragile automatically. When a node goes down it can resync and recover from other nodes. Even if not all nodes have a complete collection, negentropy can pull down only what is needed from each device. All this can be done without internet. > > \-Will Casarin In the context of Notedeck, multicast would allow multiple devices to sync their Nostr nodes with each other over a local network without needing an internet connection. Wild. Notedeck aims to offer full customization too, including the ability to design and share custom skins, much like Winamp. Users will also be able to create personalized columns and, in the future, share their setups with others. This opens the door for power users to craft tailored Nostr experiences, leveraging their expertise in the protocol and applications. By sharing these configurations as "Starter Decks," they can simplify onboarding and showcase the best of Nostr’s ecosystem. Nostr’s “Other Stuff” can often be difficult to discover, use, or understand. Many users doesn't understand or know how to use web browser extensions to login to applications. Let's not even get started with nsecbunkers. Notedeck will address this challenge by providing a native experience that brings these lesser-known applications, tools, and content into a user-friendly and accessible interface, making exploration seamless. However, that doesn't mean Notedeck should disregard power users that want to use nsecbunkers though - hint hint. For anyone interested in watching Nostr be [developed live](https://github.com/damus-io/notedeck), right before your very eyes, Notedeck’s progress serves as a reminder of what’s possible when innovation meets dedication. The current alpha is already demonstrating its ability to handle complex use cases, and I’m excited to see how it continues to grow as it moves toward a full release later this year.

@ 0d97beae:c5274a14

This article hopes to complement the article by Lyn Alden on YouTube: https://www.youtube.com/watch?v=jk_HWmmwiAs ## The reason why we have broken money Before the invention of key technologies such as the printing press and electronic communications, even such as those as early as morse code transmitters, gold had won the competition for best medium of money around the world. In fact, it was not just gold by itself that became money, rulers and world leaders developed coins in order to help the economy grow. Gold nuggets were not as easy to transact with as coins with specific imprints and denominated sizes. However, these modern technologies created massive efficiencies that allowed us to communicate and perform services more efficiently and much faster, yet the medium of money could not benefit from these advancements. Gold was heavy, slow and expensive to move globally, even though requesting and performing services globally did not have this limitation anymore. Banks took initiative and created derivatives of gold: paper and electronic money; these new currencies allowed the economy to continue to grow and evolve, but it was not without its dark side. Today, no currency is denominated in gold at all, money is backed by nothing and its inherent value, the paper it is printed on, is worthless too. Banks and governments eventually transitioned from a money derivative to a system of debt that could be co-opted and controlled for political and personal reasons. Our money today is broken and is the cause of more expensive, poorer quality goods in the economy, a larger and ever growing wealth gap, and many of the follow-on problems that have come with it. ## Bitcoin overcomes the "transfer of hard money" problem Just like gold coins were created by man, Bitcoin too is a technology created by man. Bitcoin, however is a much more profound invention, possibly more of a discovery than an invention in fact. Bitcoin has proven to be unbreakable, incorruptible and has upheld its ability to keep its units scarce, inalienable and counterfeit proof through the nature of its own design. Since Bitcoin is a digital technology, it can be transferred across international borders almost as quickly as information itself. It therefore severely reduces the need for a derivative to be used to represent money to facilitate digital trade. This means that as the currency we use today continues to fare poorly for many people, bitcoin will continue to stand out as hard money, that just so happens to work as well, functionally, along side it. Bitcoin will also always be available to anyone who wishes to earn it directly; even China is unable to restrict its citizens from accessing it. The dollar has traditionally become the currency for people who discover that their local currency is unsustainable. Even when the dollar has become illegal to use, it is simply used privately and unofficially. However, because bitcoin does not require you to trade it at a bank in order to use it across borders and across the web, Bitcoin will continue to be a viable escape hatch until we one day hit some critical mass where the world has simply adopted Bitcoin globally and everyone else must adopt it to survive. Bitcoin has not yet proven that it can support the world at scale. However it can only be tested through real adoption, and just as gold coins were developed to help gold scale, tools will be developed to help overcome problems as they arise; ideally without the need for another derivative, but if necessary, hopefully with one that is more neutral and less corruptible than the derivatives used to represent gold. ## Bitcoin blurs the line between commodity and technology Bitcoin is a technology, it is a tool that requires human involvement to function, however it surprisingly does not allow for any concentration of power. Anyone can help to facilitate Bitcoin's operations, but no one can take control of its behaviour, its reach, or its prioritisation, as it operates autonomously based on a pre-determined, neutral set of rules. At the same time, its built-in incentive mechanism ensures that people do not have to operate bitcoin out of the good of their heart. Even though the system cannot be co-opted holistically, It will not stop operating while there are people motivated to trade their time and resources to keep it running and earn from others' transaction fees. Although it requires humans to operate it, it remains both neutral and sustainable. Never before have we developed or discovered a technology that could not be co-opted and used by one person or faction against another. Due to this nature, Bitcoin's units are often described as a commodity; they cannot be usurped or virtually cloned, and they cannot be affected by political biases. ## The dangers of derivatives A derivative is something created, designed or developed to represent another thing in order to solve a particular complication or problem. For example, paper and electronic money was once a derivative of gold. In the case of Bitcoin, if you cannot link your units of bitcoin to an "address" that you personally hold a cryptographically secure key to, then you very likely have a derivative of bitcoin, not bitcoin itself. If you buy bitcoin on an online exchange and do not withdraw the bitcoin to a wallet that you control, then you legally own an electronic derivative of bitcoin. Bitcoin is a new technology. It will have a learning curve and it will take time for humanity to learn how to comprehend, authenticate and take control of bitcoin collectively. Having said that, many people all over the world are already using and relying on Bitcoin natively. For many, it will require for people to find the need or a desire for a neutral money like bitcoin, and to have been burned by derivatives of it, before they start to understand the difference between the two. Eventually, it will become an essential part of what we regard as common sense. ## Learn for yourself If you wish to learn more about how to handle bitcoin and avoid derivatives, you can start by searching online for tutorials about "Bitcoin self custody". There are many options available, some more practical for you, and some more practical for others. Don't spend too much time trying to find the perfect solution; practice and learn. You may make mistakes along the way, so be careful not to experiment with large amounts of your bitcoin as you explore new ideas and technologies along the way. This is similar to learning anything, like riding a bicycle; you are sure to fall a few times, scuff the frame, so don't buy a high performance racing bike while you're still learning to balance.

@ 37fe9853:bcd1b039

yoyoaa

@ 62033ff8:e4471203

收录的内容中 kind=1的部分，实话说 质量不高。 所以我增加了kind=30023 长文的article，但是更新的太少，多个relays 的服务器也没有多少长文。 所有搜索nostr如果需要产生价值，需要有高质量的文章和新闻。 而且现在有很多机器人的文章充满着浪费空间的作用，其他作用都用不上。 https://www.duozhutuan.com 目前放的是给搜索引擎提供搜索的原材料。没有做UI给人类浏览。所以看上去是粗糙的。 我并没有打算去做一个发microblog的 web客户端，那类的客户端太多了。 我觉得nostr社区需要解决的还是应用。如果仅仅是microblog 感觉有点够呛 幸运的是npub.pro 建站这样的，我觉得有点意思。 yakihonne 智能widget 也有意思 我做的TaskQ5 我自己在用了。分布式的任务系统，也挺好的。

@ 23b0e2f8:d8af76fc

## **Necessário** - Um Android que você não use mais (a câmera deve estar funcionando). - Um cartão microSD (opcional, usado apenas uma vez). - Um dispositivo para acompanhar seus fundos (provavelmente você já tem um). ## **Algumas coisas que você precisa saber** - O dispositivo servirá como um assinador. Qualquer movimentação só será efetuada após ser assinada por ele. - O cartão microSD será usado para transferir o APK do Electrum e garantir que o aparelho não terá contato com outras fontes de dados externas após sua formatação. Contudo, é possível usar um cabo USB para o mesmo propósito. - A ideia é deixar sua chave privada em um dispositivo offline, que ficará desligado em 99% do tempo. Você poderá acompanhar seus fundos em outro dispositivo conectado à internet, como seu celular ou computador pessoal. --- ## **O tutorial será dividido em dois módulos:** - Módulo 1 - Criando uma carteira fria/assinador. - Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador. --- ## **No final, teremos:** - Uma carteira fria que também servirá como assinador. - Um dispositivo para acompanhar os fundos da carteira.  --- ## **Módulo 1 - Criando uma carteira fria/assinador** 1. Baixe o APK do Electrum na aba de **downloads** em <https://electrum.org/>. Fique à vontade para [verificar as assinaturas](https://electrum.readthedocs.io/en/latest/gpg-check.html) 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.  3. Retire os chips e acessórios do aparelho que será usado como assinador, formate-o e aguarde a inicialização.  4. 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.)*  5. Insira o cartão microSD com o APK do Electrum no dispositivo e instale-o. Será necessário permitir instalações de fontes não oficiais.  6. 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**.  3. Agora, no assinador que criamos no primeiro módulo, exporte sua chave pública: vá em **Carteira &gt; Detalhes da carteira &gt; Compartilhar chave mestra pública**.  4. Escaneie o QR gerado da chave pública com o dispositivo de consulta. Assim, ele poderá acompanhar seus fundos, mas sem permissão para movimentá-los. 5. Para receber fundos, envie Bitcoin para um dos endereços gerados pela sua carteira: **Carteira &gt; Addresses/Coins**. 6. 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.  7. No assinador, escaneie a transação não assinada, confirme os detalhes, assine e compartilhe. Será gerado outro QR, desta vez com a transação já assinada.  8. 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 &gt; Escanear o QR da transação não assinada &gt; Conferir e assinar essa transação com o assinador &gt; Gerar QR da transação assinada &gt; 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. ---

@ 207ad2a0:e7cca7b0

*Quick context: I wanted to check out Nostr's longform posts and this blog post seemed like a good one to try and mirror. It's originally from my [free to read/share attempt to write a novel](https://untitlednovel.dns7.top/contents/), 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.

@ 3f770d65:7a745b24

New Year’s resolutions often feel boring and repetitive. Most revolve around getting in shape, eating healthier, or giving up alcohol. While the idea is interesting—using the start of a new calendar year as a catalyst for change—it also seems unnecessary. Why wait for a specific date to make a change? If you want to improve something in your life, you can just do it. You don’t need an excuse. That’s why I’ve never been drawn to the idea of making a list of resolutions. If I wanted a change, I’d make it happen, without worrying about the calendar. At least, that’s how I felt until now—when, for once, the timing actually gave me a real reason to embrace the idea of New Year’s resolutions. Enter [Olas](https://olas.app). If you're a visual creator, you've likely experienced the relentless grind of building a following on platforms like Instagram—endless doomscrolling, ever-changing algorithms, and the constant pressure to stay relevant. But what if there was a better way? Olas is a Nostr-powered alternative to Instagram that prioritizes community, creativity, and value-for-value exchanges. It's a game changer. Instagram’s failings are well-known. Its algorithm often dictates whose content gets seen, leaving creators frustrated and powerless. Monetization hurdles further alienate creators who are forced to meet arbitrary follower thresholds before earning anything. Additionally, the platform’s design fosters endless comparisons and exposure to negativity, which can take a significant toll on mental health. Instagram’s algorithms are notorious for keeping users hooked, often at the cost of their mental health. I've spoken about this extensively, most recently at Nostr Valley, explaining how legacy social media is bad for you. You might find yourself scrolling through content that leaves you feeling anxious or drained. Olas takes a fresh approach, replacing "doomscrolling" with "bloomscrolling." This is a common theme across the Nostr ecosystem. The lack of addictive rage algorithms allows the focus to shift to uplifting, positive content that inspires rather than exhausts. Monetization is another area where Olas will set itself apart. On Instagram, creators face arbitrary barriers to earning—needing thousands of followers and adhering to restrictive platform rules. Olas eliminates these hurdles by leveraging the Nostr protocol, enabling creators to earn directly through value-for-value exchanges. Fans can support their favorite artists instantly, with no delays or approvals required. The plan is to enable a brand new Olas account that can get paid instantly, with zero followers - that's wild. Olas addresses these issues head-on. Operating on the open Nostr protocol, it removes centralized control over one's content’s reach or one's ability to monetize. With transparent, configurable algorithms, and a community that thrives on mutual support, Olas creates an environment where creators can grow and succeed without unnecessary barriers. Join me on my New Year's resolution. Join me on Olas and take part in the [#Olas365](https://olas.app/search/olas365) challenge! It’s a simple yet exciting way to share your content. The challenge is straightforward: post at least one photo per day on Olas (though you’re welcome to share more!). [Download on iOS](https://testflight.apple.com/join/2FMVX2yM). [Download on Android](https://github.com/pablof7z/olas/releases/) or download via Zapstore. Let's make waves together.

@ e6817453:b0ac3c39

## The Rise of Graph RAGs and the Quest for Data Quality As we enter a new year, it’s impossible to ignore the boom of retrieval-augmented generation (RAG) systems, particularly those leveraging graph-based approaches. The previous year saw a surge in advancements and discussions about Graph RAGs, driven by their potential to enhance large language models (LLMs), reduce hallucinations, and deliver more reliable outputs. Let’s dive into the trends, challenges, and strategies for making the most of Graph RAGs in artificial intelligence. ## Booming Interest in Graph RAGs Graph RAGs have dominated the conversation in AI circles. With new research papers and innovations emerging weekly, it’s clear that this approach is reshaping the landscape. These systems, especially those developed by tech giants like Microsoft, demonstrate how graphs can: * **Enhance LLM Outputs:** By grounding responses in structured knowledge, graphs significantly reduce hallucinations. * **Support Complex Queries:** Graphs excel at managing linked and connected data, making them ideal for intricate problem-solving. Conferences on linked and connected data have increasingly focused on Graph RAGs, underscoring their central role in modern AI systems. However, the excitement around this technology has brought critical questions to the forefront: How do we ensure the quality of the graphs we’re building, and are they genuinely aligned with our needs? ## Data Quality: The Foundation of Effective Graphs A high-quality graph is the backbone of any successful RAG system. Constructing these graphs from unstructured data requires attention to detail and rigorous processes. Here’s why: * **Richness of Entities:** Effective retrieval depends on graphs populated with rich, detailed entities. * **Freedom from Hallucinations:** Poorly constructed graphs amplify inaccuracies rather than mitigating them. Without robust data quality, even the most sophisticated Graph RAGs become ineffective. As a result, the focus must shift to refining the graph construction process. Improving data strategy and ensuring meticulous data preparation is essential to unlock the full potential of Graph RAGs. ## Hybrid Graph RAGs and Variations While standard Graph RAGs are already transformative, hybrid models offer additional flexibility and power. Hybrid RAGs combine structured graph data with other retrieval mechanisms, creating systems that: * Handle diverse data sources with ease. * Offer improved adaptability to complex queries. Exploring these variations can open new avenues for AI systems, particularly in domains requiring structured and unstructured data processing. ## Ontology: The Key to Graph Construction Quality Ontology — defining how concepts relate within a knowledge domain — is critical for building effective graphs. While this might sound abstract, it’s a well-established field blending philosophy, engineering, and art. Ontology engineering provides the framework for: * **Defining Relationships:** Clarifying how concepts connect within a domain. * **Validating Graph Structures:** Ensuring constructed graphs are logically sound and align with domain-specific realities. Traditionally, ontologists — experts in this discipline — have been integral to large enterprises and research teams. However, not every team has access to dedicated ontologists, leading to a significant challenge: How can teams without such expertise ensure the quality of their graphs? ## How to Build Ontology Expertise in a Startup Team For startups and smaller teams, developing ontology expertise may seem daunting, but it is achievable with the right approach: 1. **Assign a Knowledge Champion:** Identify a team member with a strong analytical mindset and give them time and resources to learn ontology engineering. 2. **Provide Training:** Invest in courses, workshops, or certifications in knowledge graph and ontology creation. 3. **Leverage Partnerships:** Collaborate with academic institutions, domain experts, or consultants to build initial frameworks. 4. **Utilize Tools:** Introduce ontology development tools like Protégé, OWL, or SHACL to simplify the creation and validation process. 5. **Iterate with Feedback:** Continuously refine ontologies through collaboration with domain experts and iterative testing. So, it is not always affordable for a startup to have a dedicated oncologist or knowledge engineer in a team, but you could involve consulters or build barefoot experts. You could read about barefoot experts in my article : Even startups can achieve robust and domain-specific ontology frameworks by fostering in-house expertise. ## How to Find or Create Ontologies For teams venturing into Graph RAGs, several strategies can help address the ontology gap: 1. **Leverage Existing Ontologies:** Many industries and domains already have open ontologies. For instance: * **Public Knowledge Graphs:** Resources like Wikipedia’s graph offer a wealth of structured knowledge. * **Industry Standards:** Enterprises such as Siemens have invested in creating and sharing ontologies specific to their fields. * **Business Framework Ontology (BFO):** A valuable resource for enterprises looking to define business processes and structures. 1. **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. 2. **Utilize LLMs for Ontology Construction:** Interestingly, LLMs themselves can act as a starting point for ontology development: * **Prompt-Based Extraction:** LLMs can generate draft ontologies by leveraging their extensive training on graph data. * **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!

@ a4a6b584:1e05b95b

## The Four-Layer Framework ### Layer 1: Zoom Out  Start by looking at the big picture. What’s the subject about, and why does it matter? Focus on the overarching ideas and how they fit together. Think of this as the 30,000-foot view—it’s about understanding the "why" and "how" before diving into the "what." **Example**: If you’re learning programming, start by understanding that it’s about giving logical instructions to computers to solve problems. - **Tip**: Keep it simple. Summarize the subject in one or two sentences and avoid getting bogged down in specifics at this stage. _Once you have the big picture in mind, it’s time to start breaking it down._ --- ### Layer 2: Categorize and Connect  Now it’s time to break the subject into categories—like creating branches on a tree. This helps your brain organize information logically and see connections between ideas. **Example**: Studying biology? Group concepts into categories like cells, genetics, and ecosystems. - **Tip**: Use headings or labels to group similar ideas. Jot these down in a list or simple diagram to keep track. _With your categories in place, you’re ready to dive into the details that bring them to life._ --- ### Layer 3: Master the Details  Once you’ve mapped out the main categories, you’re ready to dive deeper. This is where you learn the nuts and bolts—like formulas, specific techniques, or key terminology. These details make the subject practical and actionable. **Example**: In programming, this might mean learning the syntax for loops, conditionals, or functions in your chosen language. - **Tip**: Focus on details that clarify the categories from Layer 2. Skip anything that doesn’t add to your understanding. _Now that you’ve mastered the essentials, you can expand your knowledge to include extra material._ --- ### Layer 4: Expand Your Horizons  Finally, move on to the extra material—less critical facts, trivia, or edge cases. While these aren’t essential to mastering the subject, they can be useful in specialized discussions or exams. **Example**: Learn about rare programming quirks or historical trivia about a language’s development. - **Tip**: Spend minimal time here unless it’s necessary for your goals. It’s okay to skim if you’re short on time. --- ## Pro Tips for Better Learning ### 1. Use Active Recall and Spaced Repetition Test yourself without looking at notes. Review what you’ve learned at increasing intervals—like after a day, a week, and a month. This strengthens memory by forcing your brain to actively retrieve information. ### 2. Map It Out Create visual aids like [diagrams or concept maps](https://excalidraw.com/) 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.

@ 000002de:c05780a7

Honest question. I think he's a great TE but... haven't watched him a ton. I get a feeling he's overrated. Maybe not though. I watched him during the big game and was kinda surprised by his lack luster performance. He really seemed different to me. Since then I've seen video of him not blocking for his QB and not really playing hard. Like he gave up. Does he really have a rep of not blocking? He looks pretty terrible on film. Now, I know I'm a Kittle fan and he is famously great at blocking and takes pride in it. Maybe I'm just using Kittle as the ruler and maybe that's not fair. Also, I loved watching KC get destroyed so factor that in :) originally posted at https://stacker.news/items/884156

@ 9673b322:1b75ee9e

This is my test document for nostr publish Although Sainsbury's was already in the midst of a plan to save £1bn over the next few years, the rise in employer's National Insurance contributions set out in the Budget has also been a factor in this latest restructuring plan. ### Add some text this is is a test 

@ 5d4b6c8d:8a1c1ee3

Going off of memory, because I forgot to do this in the morning. The last thing I ate were Costco samples yesterday afternoon and then I didn't eat again until lunch today. I'm pretty sure those two things were about 20 hours apart. ## Score Card Day 1: 14 hour fast (13 dry) Day 2: 15 hour fast (14 dry) Day 3: 17 hours (16 dry) Day 4: 18 hours (17 dry) Day 5: 18 hours (16 dry) Day 6: 19 hours (16 dry) Day 7: 16 hours (15 dry) Day 8: 18 hours (17 dry) Day 9: 17 hours (17 dry) Day 10: 15 hours (13 dry) Day 11: 20 hours (19 dry) Day 12: 20 hours (17 dry) This winter storm is going to make getting my steps in a pain, but there's no way I'm letting myself lose the sats that I staked on the challenge. originally posted at https://stacker.news/items/884000

@ 1bda7e1f:bb97c4d9

### Tldr - Nostr is an open and interoperable protocol - You can integrate it with workflow automation tools to augment your experience - n8n is a great low/no-code workflow automation tool which you can host yourself - Nostrobots allows you to integrate Nostr into n8n - In this blog I create some workflow automations for Nostr - A simple form to delegate posting notes - Push notifications for mentions on multiple accounts - Push notifications for your favourite accounts when they post a note - All workflows are provided as open source with MIT license for you to use ### Inter-op All The Things Nostr is a new open social protocol for the internet. This open nature exciting because of the opportunities for interoperability with other technologies. In [Using NFC Cards with Nostr]() I explored the `nostr:` URI to launch Nostr clients from a card tap. The interoperability of Nostr doesn't stop there. The internet has many super-powers, and Nostr is open to all of them. Simply, there's no one to stop it. There is no one in charge, there are no permissioned APIs, and there are no risks of being de-platformed. If you can imagine technologies that would work well with Nostr, then any and all of them can ride on or alongside Nostr rails. My mental model for why this is special is Google Wave ~2010. Google Wave was to be the next big platform. Lars was running it and had a big track record from Maps. I was excited for it. Then, Google pulled the plug. And, immediately all the time and capital invested in understanding and building on the platform was wasted. This cannot happen to Nostr, as there is no one to pull the plug, and maybe even no plug to pull. So long as users demand Nostr, Nostr will exist, and that is a pretty strong guarantee. It makes it worthwhile to invest in bringing Nostr into our other applications. All we need are simple ways to plug things together. ### Nostr and Workflow Automation Workflow automation is about helping people to streamline their work. As a user, the most common way I achieve this is by connecting disparate systems together. By setting up one system to trigger another or to move data between systems, I can solve for many different problems and become way more effective. #### n8n for workflow automation Many workflow automation tools exist. My favourite is [n8n](https://n8n.io/). n8n is a low/no-code workflow automation platform which allows you to build all kinds of workflows. You can use it for free, you can self-host it, it has a user-friendly UI and useful API. Vs Zapier it can be far more elaborate. Vs Make.com I find it to be more intuitive in how it abstracts away the right parts of the code, but still allows you to code when you need to. Most importantly you can plug anything into n8n: You have built-in nodes for specific applications. HTTP nodes for any other API-based service. And community nodes built by individual community members for any other purpose you can imagine. #### Eating my own dogfood It's very clear to me that there is a big design space here just demanding to be explored. If you could integrate Nostr with anything, what would you do? In my view the best way for anyone to start anything is by solving their own problem first (aka "scratching your own itch" and "eating your own dogfood"). As I get deeper into Nostr I find myself controlling multiple Npubs – to date I have a personal Npub, a brand Npub for a community I am helping, an AI assistant Npub, and various testing Npubs. I need ways to delegate access to those Npubs without handing over the keys, ways to know if they're mentioned, and ways to know if they're posting. I can build workflows with n8n to solve these issues for myself to start with, and keep expanding from there as new needs come up. ### Running n8n with Nostrobots I am mostly non-technical with a very helpful AI. To set up n8n to work with Nostr and operate these workflows should be possible for anyone with basic technology skills. - I have a cheap VPS which currently runs my [HAVEN Nostr Relay](https://rodbishop.npub.pro/post/8ca68889/) and [Albyhub Lightning Node](https://rodbishop.npub.pro/post/setting-up-payments-on-nostr-7o6ls7/) in Docker containers, - My objective was to set up n8n to run alongside these in a separate Docker container on the same server, install the required nodes, and then build and host my workflows. #### Installing n8n Self-hosting n8n could not be easier. I followed n8n's [Docker-Compose installation docs](https://docs.n8n.io/hosting/installation/server-setups/docker-compose/)– - Install Docker and Docker-Compose if you haven't already, - Create your ``docker-compose.yml`` and `.env` files from the docs, - Create your data folder `sudo docker volume create n8n_data`, - Start your container with `sudo docker compose up -d`, - Your n8n instance should be online at port `5678`. n8n is free to self-host but does require a license. Enter your credentials into n8n to get your free license key. You should now have access to the Workflow dashboard and can create and host any kind of workflows from there. #### Installing Nostrobots To integrate n8n nicely with Nostr, I used the [Nostrobots](https://github.com/ocknamo/n8n-nodes-nostrobots?tab=readme-ov-file) community node by [Ocknamo](nostr:npub1y6aja0kkc4fdvuxgqjcdv4fx0v7xv2epuqnddey2eyaxquznp9vq0tp75l). In n8n parlance a "node" enables certain functionality as a step in a workflow e.g. a "set" node sets a variable, a "send email" node sends an email. n8n comes with all kinds of "official" nodes installed by default, and Nostr is not amongst them. However, n8n also comes with a framework for community members to create their own "community" nodes, which is where Nostrobots comes in. You can only use a community node in a self-hosted n8n instance (which is what you have if you are running in Docker on your own server, but this limitation does prevent you from using n8n's own hosted alternative). To install a community node, [see n8n community node docs](https://docs.n8n.io/integrations/community-nodes/installation/gui-install/). From your workflow dashboard– - Click the "..." in the bottom left corner beside your username, and click "settings", - Cilck "community nodes" left sidebar, - Click "Install", - Enter the "npm Package Name" which is `n8n-nodes-nostrobots`, - Accept the risks and click "Install", - Nostrobots is now added to your n8n instance. #### Using Nostrobots Nostrobots gives you nodes to help you build Nostr-integrated workflows– - **Nostr Write** – for posting Notes to the Nostr network, - **Nostr Read** – for reading Notes from the Nostr network, and - **Nostr Utils** – for performing certain conversions you may need (e.g. from bech32 to hex). Nostrobots has [good documentation](https://github.com/ocknamo/n8n-nodes-nostrobots?tab=readme-ov-file) on each node which focuses on simple use cases. Each node has a "convenience mode" by default. For example, the "Read" Node by default will fetch Kind 1 notes by a simple filter, in Nostrobots parlance a "Strategy". For example, with Strategy set to "Mention" the node will accept a pubkey and fetch all Kind 1 notes that Mention the pubkey within a time period. This is very good for quick use. What wasn't clear to me initially (until Ocknamo helped me out) is that advanced use cases are also possible. Each node also has an advanced mode. For example, the "Read" Node can have "Strategy" set to "RawFilter(advanced)". Now the node will accept json (anything you like that complies with [NIP-01](https://github.com/nostr-protocol/nips/blob/master/01.md)). You can use this to query Notes (Kind 1) as above, and also Profiles (Kind 0), Follow Lists (Kind 3), Reactions (Kind 7), Zaps (Kind 9734/9735), and anything else you can think of. #### Creating and adding workflows With n8n and Nostrobots installed, you can now create or add any kind of Nostr Workflow Automation. - Click "Add workflow" to go to the workflow builder screen, - If you would like to build your own workflow, you can start with adding any node. Click "+" and see what is available. Type "Nostr" to explore the Nostrobots nodes you have added, - If you would like to add workflows that someone else has built, click "..." in the top right. Then click "import from URL" and paste in the URL of any workflow you would like to use (including the ones I share later in this article). ### Nostr Workflow Automations It's time to build some things! #### A simple form to post a note to Nostr I started very simply. I needed to delegate the ability to post to Npubs that I own in order that a (future) team can test things for me. I don't want to worry about managing or training those people on how to use keys, and I want to revoke access easily. I needed a basic form with credentials that posted a Note. For this I can use a very simple workflow– - **A n8n Form node** – Creates a form for users to enter the note they wish to post. Allows for the form to be protected by a username and password. This node is the workflow "trigger" so that the workflow runs each time the form is submitted. - **A Set node** – Allows me to set some variables, in this case I set the relays that I intend to use. I typically add a Set node immediately following the trigger node, and put all the variables I need in this. It helps to make the workflows easier to update and maintain. - **A Nostr Write node** (from Nostrobots) – Writes a Kind-1 note to the Nostr network. It accepts Nostr credentials, the output of the Form node, and the relays from the Set node, and posts the Note to those relays. Once the workflow is built, you can test it with the testing form URL, and set it to "Active" to use the production form URL. That's it. You can now give posting access to anyone for any Npub. To revoke access, simply change the credentials or set to workflow to "Inactive". It may also be the world's simplest Nostr client. You can find the [Nostr Form to Post a Note workflow here](https://github.com/r0d8lsh0p/nostr-n8n/blob/main/Nostr_Form_to_Post_a_Note.json). #### Push notifications on mentions and new notes One of the things Nostr is not very good at is push notifications. Furthermore I have some unique itches to scratch. I want– - **To make sure I never miss a note addressed to any of my Npubs** – For this I want a push notification any time any Nostr user mentions any of my Npubs, - **To make sure I always see all notes from key accounts** – For this I need a push notification any time any of my Npubs post any Notes to the network, - **To get these notifications on all of my devices** – Not just my phone where my Nostr regular client lives, but also on each of my laptops to suit wherever I am working that day. I needed to build a Nostr push notifications solution. To build this workflow I had to string a few ideas together– - **Triggering the node on a schedule** – Nostrobots does not include a trigger node. As every workflow starts with a trigger we needed a different method. I elected to run the workflow on a schedule of every 10-minutes. Frequent enough to see Notes while they are hot, but infrequent enough to not burden public relays or get rate-limited, - **Storing a list of Npubs in a Nostr list** – I needed a way to store the list of Npubs that trigger my notifications. I initially used an array defined in the workflow, this worked fine. Then I decided to try Nostr lists ([NIP-51, kind 30000](https://github.com/nostr-protocol/nips/blob/master/51.md)). By defining my list of Npubs as a list published to Nostr I can control my list from within a Nostr client (e.g. [Listr.lol](https://listr.lol/npub1r0d8u8mnj6769500nypnm28a9hpk9qg8jr0ehe30tygr3wuhcnvs4rfsft) or [Nostrudel.ninja](https://nostrudel.ninja/#/lists)). Not only does this "just work", but because it's based on Nostr lists automagically Amethyst client allows me to browse that list as a Feed, and everyone I add gets notified in their Mentions, - **Using specific relays** – I needed to query the right relays, including my own HAVEN relay inbox for notes addressed to me, and wss://purplepag.es for Nostr profile metadata, - **Querying Nostr events** (with Nostrobots) – I needed to make use of many different Nostr queries and use quite a wide range of what Nostrobots can do– - I read the EventID of my Kind 30000 list, to return the desired pubkeys, - For notifications on mentions, I read all Kind 1 notes that mention that pubkey, - For notifications on new notes, I read all Kind 1 notes published by that pubkey, - Where there are notes, I read the Kind 0 profile metadata event of that pubkey to get the displayName of the relevant Npub, - I transform the EventID into a Nevent to help clients find it. - **Using the Nostr URI** – As I did with my NFC card article, I created a link with the `nostr:` URI prefix so that my phone's native client opens the link by default, - **Push notifications solution** – I needed a push notifications solution. I found many with n8n integrations and chose to go with [Pushover](https://pushover.net/) which supports all my devices, has a free trial, and is unfairly cheap with a $5-per-device perpetual license. Once the workflow was built, lists published, and Pushover installed on my phone, I was fully set up with push notifications on Nostr. I have used these workflows for several weeks now and made various tweaks as I went. They are feeling robust and I'd welcome you to give them a go. You can find the [Nostr Push Notification If Mentioned here](https://github.com/r0d8lsh0p/nostr-n8n/blob/main/Nostr_Push_Notify_If_Mentioned.json) and [If Posts a Note here](https://github.com/r0d8lsh0p/nostr-n8n/blob/main/Nostr_Push_Notify_If_Post_a_Note.json). In speaking with other Nostr users while I was building this, there are all kind of other needs for push notifications too – like on replies to a certain bookmarked note, or when a followed Npub starts streaming on zap.stream. These are all possible. #### Use my workflows I have open sourced all my workflows at my [Github](https://github.com/r0d8lsh0p/nostr-n8n) with MIT license and tried to write complete docs, so that you can import them into your n8n and configure them for your own use. To import any of my workflows– - Click on the workflow of your choice, e.g. "[Nostr_Push_Notify_If_Mentioned.json](https://github.com/r0d8lsh0p/nostr-n8n/blob/main/Nostr_Push_Notify_If_Mentioned.json "Nostr_Push_Notify_If_Mentioned.json")", - Click on the "raw" button to view the raw JSON, ex any Github page layout, - Copy that URL, - Enter that URL in the "import from URL" dialog [mentioned above](#creating-and-adding-workflows). To configure them– - Prerequisites, credentials, and variables are all stated, - In general any variables required are entered into a Set Node that follows the trigger node, - Pushover has some extra setup but is very straightforward and documented in the workflow. ### What next? Over my first four blogs I explored creating a good Nostr setup with [Vanity Npub](https://rodbishop.npub.pro/post/mining-your-vanity-pubkey-4iupbf/), [Lightning Payments](https://rodbishop.npub.pro/post/setting-up-payments-on-nostr-7o6ls7/), [Nostr Addresses at Your Domain](https://rodbishop.npub.pro/post/ee8a46bc/), and [Personal Nostr Relay](https://rodbishop.npub.pro/post/8ca68889/). Then in my latest two blogs I explored different types of interoperability [with NFC cards](https://rodbishop.npub.pro/post/edde8387/) and now n8n Workflow Automation. Thinking ahead n8n can power any kind of interoperability between Nostr and any other legacy technology solution. On my mind as I write this: - Further enhancements to posting and delegating solutions and forms (enhanced UI or different note kinds), - Automated or scheduled posting (such as auto-liking everything [Lyn Alden](nostr:npub1a2cww4kn9wqte4ry70vyfwqyqvpswksna27rtxd8vty6c74era8sdcw83a) posts), - Further enhancements to push notifications, on new and different types of events (such as notifying me when I get a new follower, on replies to certain posts, or when a user starts streaming), - All kinds of bridges, such as bridging notes to and from Telegram, Slack, or Campfire. Or bridging RSS or other event feeds to Nostr, - All kinds of other automation (such as [BlackCoffee](nostr:npub1dqepr0g4t3ahvnjtnxazvws4rkqjpxl854n29wcew8wph0fmw90qlsmmgt) [controlling a coffee machine](https://primal.net/e/note16fzhh5yfc3u4kufx0mck63tsfperdrlpp96am2lmq066cnuqutds8retc3)), - All kinds of AI Assistants and Agents, In fact I have already released an open source workflow for an [AI Assistant](https://primal.net/p/npub1ahjpx53ewavp23g5zj9jgyfrpr8djmgjzg5mpe4xd0z69dqvq0kq2lf353), and will share more about that in my next blog. Please be sure to let me know if you think there's another Nostr topic you'd like to see me tackle. GM Nostr.

@ 3f770d65:7a745b24

Here are my predictions for Nostr in 2025: **Decentralization:** The outbox and inbox communication models, sometimes referred to as the Gossip model, will become the standard across the ecosystem. By the end of 2025, all major clients will support these models, providing seamless communication and enhanced decentralization. Clients that do not adopt outbox/inbox by then will be regarded as outdated or legacy systems. **Privacy Standards:** Major clients such as Damus and Primal will move away from NIP-04 DMs, adopting more secure protocol possibilities like NIP-17 or NIP-104. These upgrades will ensure enhanced encryption and metadata protection. Additionally, NIP-104 MLS tools will drive the development of new clients and features, providing users with unprecedented control over the privacy of their communications. **Interoperability:** Nostr's ecosystem will become even more interconnected. Platforms like the Olas image-sharing service will expand into prominent clients such as Primal, Damus, Coracle, and Snort, alongside existing integrations with Amethyst, Nostur, and Nostrudel. Similarly, audio and video tools like Nostr Nests and Zap.stream will gain seamless integration into major clients, enabling easy participation in live events across the ecosystem. **Adoption and Migration:** Inspired by early pioneers like Fountain and Orange Pill App, more platforms will adopt Nostr for authentication, login, and social systems. In 2025, a significant migration from a high-profile application platform with hundreds of thousands of users will transpire, doubling Nostr’s daily activity and establishing it as a cornerstone of decentralized technologies.

@ e97aaffa:2ebd765d

Último dia do ano, momento para tirar o pó da bola de cristal, para fazer reflexões, previsões e desejos para o próximo ano e seguintes. Ano após ano, o Bitcoin evoluiu, foi ultrapassando etapas, tornou-se cada vez mais _mainstream_. Está cada vez mais difícil fazer previsões sobre o Bitcoin, já faltam poucas barreiras a serem ultrapassadas e as que faltam são altamente complexas ou tem um impacto profundo no sistema financeiro ou na sociedade. Estas alterações profundas tem que ser realizadas lentamente, porque uma alteração rápida poderia resultar em consequências terríveis, poderia provocar um retrocesso. # Código do Bitcoin No final de 2025, possivelmente vamos ter um _fork_, as discussões sobre os _covenants_ já estão avançadas, vão acelerar ainda mais. Já existe um consenso relativamente alto, a favor dos _covenants_, só falta decidir que modelo será escolhido. Penso que até ao final do ano será tudo decidido. Depois dos _covenants,_ o próximo foco será para a criptografia post-quantum, que será o maior desafio que o Bitcoin enfrenta. Criar uma criptografia segura e que não coloque a descentralização em causa. Espero muito de Ark, possivelmente a inovação do ano, gostaria de ver o Nostr a furar a bolha bitcoinheira e que o Cashu tivesse mais reconhecimento pelos _bitcoiners_. Espero que surjam avanços significativos no BitVM2 e BitVMX. Não sei o que esperar das layer 2 de Bitcoin, foram a maior desilusão de 2024. Surgiram com muita força, mas pouca coisa saiu do papel, foi uma mão cheia de nada. Uma parte dos projetos caiu na tentação da _shitcoinagem_, na criação de tokens, que tem um único objetivo, enriquecer os devs e os VCs. Se querem ser levados a sério, têm que ser sérios. > “À mulher de César não basta ser honesta, deve parecer honesta” Se querem ter o apoio dos _bitcoiners_, sigam o _ethos_ do Bitcoin. Neste ponto a atitude do pessoal da Ark é exemplar, em vez de andar a chorar no Twitter para mudar o código do Bitcoin, eles colocaram as mãos na massa e criaram o protocolo. É claro que agora está meio “coxo”, funciona com uma _multisig_ ou com os _covenants_ na Liquid. Mas eles estão a criar um produto, vão demonstrar ao mercado que o produto é bom e útil. Com a adoção, a comunidade vai perceber que o Ark necessita dos _covenants_ para melhorar a interoperabilidade e a soberania. É este o pensamento certo, que deveria ser seguido pelos restantes e futuros projetos. É seguir aquele pensamento do J.F. Kennedy: > “Não perguntem o que é que o vosso país pode fazer por vocês, perguntem o que é que vocês podem fazer pelo vosso país” Ou seja, não fiquem à espera que o bitcoin mude, criem primeiro as inovações/tecnologia, ganhem adoção e depois demonstrem que a alteração do código camada base pode melhorar ainda mais o vosso projeto. A necessidade é que vai levar a atualização do código. # Reservas Estratégicas de Bitcoin ## Bancos centrais Com a eleição de Trump, emergiu a ideia de uma Reserva Estratégia de Bitcoin, tornou este conceito _mainstream_. Foi um _pivot_, a partir desse momento, foram enumerados os políticos de todo o mundo a falar sobre o assunto. A Senadora Cynthia Lummis foi mais além e propôs um programa para adicionar 200 mil bitcoins à reserva ao ano, até 1 milhão de Bitcoin. Só que isto está a criar uma enorme expectativa na comunidade, só que pode resultar numa enorme desilusão. Porque no primeiro ano, o Trump em vez de comprar os 200 mil, pode apenas adicionar na reserva, os 198 mil que o Estado já tem em sua posse. Se isto acontecer, possivelmente vai resultar numa forte queda a curto prazo. Na minha opinião os bancos centrais deveriam seguir o exemplo de El Salvador, fazer um DCA diário. Mais que comprar bitcoin, para mim, o mais importante é a criação da Reserva, é colocar o Bitcoin ao mesmo nível do ouro, o impacto para o resto do mundo será tremendo, a teoria dos jogos na sua plenitude. Muitos outros bancos centrais vão ter que comprar, para não ficarem atrás, além disso, vai transmitir uma mensagem à generalidade da população, que o Bitcoin é “afinal é algo seguro, com valor”. Mas não foi Trump que iniciou esta teoria dos jogos, mas sim foi a primeira vítima dela. É o próprio Trump que o admite, que os EUA necessitam da reserva para não ficar atrás da China. Além disso, desde que os EUA utilizaram o dólar como uma arma, com sanção contra a Rússia, surgiram boatos de que a Rússia estaria a utilizar o Bitcoin para transações internacionais. Que foram confirmados recentemente, pelo próprio governo russo. Também há poucos dias, ainda antes deste reconhecimento público, Putin elogiou o Bitcoin, ao reconhecer que “Ninguém pode proibir o bitcoin”, defendendo como uma alternativa ao dólar. A narrativa está a mudar. Já existem alguns países com Bitcoin, mas apenas dois o fizeram conscientemente (El Salvador e Butão), os restantes têm devido a apreensões. Hoje são poucos, mas 2025 será o início de uma corrida pelos bancos centrais. Esta corrida era algo previsível, o que eu não esperava é que acontecesse tão rápido.  ## Empresas A criação de reservas estratégicas não vai ficar apenas pelos bancos centrais, também vai acelerar fortemente nas empresas em 2025.  Mas as empresas não vão seguir a estratégia do Saylor, vão comprar bitcoin sem alavancagem, utilizando apenas os tesouros das empresas, como uma proteção contra a inflação. Eu não sou grande admirador do Saylor, prefiro muito mais, uma estratégia conservadora, sem qualquer alavancagem. Penso que as empresas vão seguir a sugestão da BlackRock, que aconselha um alocações de 1% a 3%. Penso que 2025, ainda não será o ano da entrada das 6 magníficas (excepto Tesla), será sobretudo empresas de pequena e média dimensão. As magníficas ainda tem uma cota muito elevada de _shareholders_ com alguma idade, bastante conservadores, que têm dificuldade em compreender o Bitcoin, foi o que aconteceu recentemente com a Microsoft. Também ainda não será em 2025, talvez 2026, a inclusão nativamente de wallet Bitcoin nos sistema da Apple Pay e da Google Pay. Seria um passo gigante para a adoção a nível mundial. # ETFs Os ETFs para mim são uma incógnita, tenho demasiadas dúvidas, como será 2025. Este ano os _inflows_ foram superiores a 500 mil bitcoins, o IBIT foi o lançamento de ETF mais bem sucedido da história. O sucesso dos ETFs, deve-se a 2 situações que nunca mais se vão repetir. O mercado esteve 10 anos à espera pela aprovação dos ETFs, a procura estava reprimida, isso foi bem notório nos primeiros meses, os _inflows_ foram brutais. Também se beneficiou por ser um mercado novo, não existia _orderbook_ de vendas, não existia um mercado interno, praticamente era só _inflows_. Agora o mercado já estabilizou, a maioria das transações já são entre clientes dos próprios ETFs. Agora só uma pequena percentagem do volume das transações diárias vai resultar em _inflows_ ou _outflows_. Estes dois fenómenos nunca mais se vão repetir, eu não acredito que o número de _inflows_ em BTC supere os número de 2024, em dólares vai superar, mas em btc não acredito que vá superar. Mas em 2025 vão surgir uma infindável quantidade de novos produtos, derivativos, novos ETFs de cestos com outras criptos ou cestos com ativos tradicionais. O bitcoin será adicionado em produtos financeiros já existentes no mercado, as pessoas vão passar a deter bitcoin, sem o saberem. Com o fim da operação ChokePoint 2.0, vai surgir uma nova onda de adoção e de produtos financeiros. Possivelmente vamos ver bancos tradicionais a disponibilizar produtos ou serviços de custódia aos seus clientes. Eu adoraria ver o crescimento da adoção do bitcoin como moeda, só que a regulamentação não vai ajudar nesse processo. # Preço Eu acredito que o topo deste ciclo será alcançado no primeiro semestre, posteriormente haverá uma correção. Mas desta vez, eu acredito que a correção será muito menor que as anteriores, inferior a 50%, esta é a minha expectativa. Espero estar certo. # Stablecoins de dólar Agora saindo um pouco do universo do Bitcoin, acho importante destacar as _stablecoins_. No último ciclo, eu tenho dividido o tempo, entre continuar a estudar o Bitcoin e estudar o sistema financeiro, as suas dinâmicas e o comportamento humano. Isto tem sido o meu foco de reflexão, imaginar a transformação que o mundo vai sofrer devido ao padrão Bitcoin. É uma ilusão acreditar que a transição de um padrão FIAT para um padrão Bitcoin vai ser rápida, vai existir um processo transitório que pode demorar décadas. Com a re-entrada de Trump na Casa Branca, prometendo uma política altamente protecionista, vai provocar uma forte valorização do dólar, consequentemente as restantes moedas do mundo vão derreter. Provocando uma inflação generalizada, gerando uma corrida às _stablecoins_ de dólar nos países com moedas mais fracas. Trump vai ter uma política altamente expansionista, vai exportar dólares para todo o mundo, para financiar a sua própria dívida. A desigualdade entre os pobres e ricos irá crescer fortemente, aumentando a possibilidade de conflitos e revoltas. > “Casa onde não há pão, todos ralham e ninguém tem razão” Será mais lenha, para alimentar a fogueira, vai gravar os conflitos geopolíticos já existentes, ficando as sociedade ainda mais polarizadas. Eu acredito que 2025, vai haver um forte crescimento na adoção das _stablecoins_ de dólares, esse forte crescimento vai agravar o problema sistémico que são as _stablecoins_. Vai ser o início do fim das _stablecoins_, pelo menos, como nós conhecemos hoje em dia. ## Problema sistémico O sistema FIAT não nasceu de um dia para outro, foi algo que foi construído organicamente, ou seja, foi evoluindo ao longo dos anos, sempre que havia um problema/crise, eram criadas novas regras ou novas instituições para minimizar os problemas. Nestes quase 100 anos, desde os acordos de Bretton Woods, a evolução foram tantas, tornaram o sistema financeiro altamente complexo, burocrático e nada eficiente. Na prática é um castelo de cartas construído sobre outro castelo de cartas e que por sua vez, foi construído sobre outro castelo de cartas. As _stablecoins_ são um problema sistémico, devido às suas reservas em dólares e o sistema financeiro não está preparado para manter isso seguro. Com o crescimento das reservas ao longo dos anos, foi se agravando o problema. No início a Tether colocava as reservas em bancos comerciais, mas com o crescimento dos dólares sob gestão, criou um problema nos bancos comerciais, devido à reserva fracionária. Essas enormes reservas da Tether estavam a colocar em risco a própria estabilidade dos bancos. A Tether acabou por mudar de estratégia, optou por outros ativos, preferencialmente por títulos do tesouro/obrigações dos EUA. Só que a Tether continua a crescer e não dá sinais de abrandamento, pelo contrário. Até o próprio mundo cripto, menosprezava a gravidade do problema da Tether/_stablecoins_ para o resto do sistema financeiro, porque o _marketcap_ do cripto ainda é muito pequeno. É verdade que ainda é pequeno, mas a Tether não o é, está no top 20 dos maiores detentores de títulos do tesouros dos EUA e está ao nível dos maiores bancos centrais do mundo. Devido ao seu tamanho, está a preocupar os responsáveis/autoridades/reguladores dos EUA, pode colocar em causa a estabilidade do sistema financeiro global, que está assente nessas obrigações. Os títulos do tesouro dos EUA são o colateral mais utilizado no mundo, tanto por bancos centrais, como por empresas, é a charneira da estabilidade do sistema financeiro. Os títulos do tesouro são um assunto muito sensível. Na recente crise no Japão, do _carry trade_, o Banco Central do Japão tentou minimizar a desvalorização do iene através da venda de títulos dos EUA. Esta operação, obrigou a uma viagem de emergência, da Secretaria do Tesouro dos EUA, Janet Yellen ao Japão, onde disponibilizou liquidez para parar a venda de títulos por parte do Banco Central do Japão. Essa forte venda estava desestabilizando o mercado. Os principais detentores de títulos do tesouros são institucionais, bancos centrais, bancos comerciais, fundo de investimento e gestoras, tudo administrado por gestores altamente qualificados, racionais e que conhecem a complexidade do mercado de obrigações. O mundo cripto é seu oposto, é _naife_ com muita irracionalidade e uma forte pitada de loucura, na sua maioria nem faz a mínima ideia como funciona o sistema financeiro. Essa irracionalidade pode levar a uma “corrida bancária”, como aconteceu com o UST da Luna, que em poucas horas colapsou o projeto. Em termos de escala, a Luna ainda era muito pequena, por isso, o problema ficou circunscrito ao mundo cripto e a empresas ligadas diretamente ao cripto. Só que a Tether é muito diferente, caso exista algum FUD, que obrigue a Tether a desfazer-se de vários biliões ou dezenas de biliões de dólares em títulos num curto espaço de tempo, poderia provocar consequências terríveis em todo o sistema financeiro. A Tether é grande demais, é já um problema sistémico, que vai agravar-se com o crescimento em 2025. Não tenham dúvidas, se existir algum problema, o Tesouro dos EUA vai impedir a venda dos títulos que a Tether tem em sua posse, para salvar o sistema financeiro. O problema é, o que vai fazer a Tether, se ficar sem acesso às venda das reservas, como fará o _redeem_ dos dólares? Como o crescimento do Tether é inevitável, o Tesouro e o FED estão com um grande problema em mãos, o que fazer com o Tether? Mas o problema é que o atual sistema financeiro é como um curto cobertor: Quanto tapas a cabeça, destapas os pés; Ou quando tapas os pés, destapas a cabeça. Ou seja, para resolver o problema da guarda reservas da Tether, vai criar novos problemas, em outros locais do sistema financeiro e assim sucessivamente. ### Conta mestre Uma possível solução seria dar uma conta mestre à Tether, dando o acesso direto a uma conta no FED, semelhante à que todos os bancos comerciais têm. Com isto, a Tether deixaria de necessitar os títulos do tesouro, depositando o dinheiro diretamente no banco central. Só que isto iria criar dois novos problemas, com o Custodia Bank e com o restante sistema bancário. O Custodia Bank luta há vários anos contra o FED, nos tribunais pelo direito a ter licença bancária para um banco com _full-reserves_. O FED recusou sempre esse direito, com a justificativa que esse banco, colocaria em risco toda a estabilidade do sistema bancário existente, ou seja, todos os outros bancos poderiam colapsar. Perante a existência em simultâneo de bancos com reserva fracionária e com _full-reserves_, as pessoas e empresas iriam optar pelo mais seguro. Isso iria provocar uma corrida bancária, levando ao colapso de todos os bancos com reserva fracionária, porque no Custodia Bank, os fundos dos clientes estão 100% garantidos, para qualquer valor. Deixaria de ser necessário limites de fundos de Garantia de Depósitos. Eu concordo com o FED nesse ponto, que os bancos com _full-reserves_ são uma ameaça a existência dos restantes bancos. O que eu discordo do FED, é a origem do problema, o problema não está nos bancos _full-reserves_, mas sim nos que têm reserva fracionária. O FED ao conceder uma conta mestre ao Tether, abre um precedente, o Custodia Bank irá o aproveitar, reclamando pela igualdade de direitos nos tribunais e desta vez, possivelmente ganhará a sua licença. Ainda há um segundo problema, com os restantes bancos comerciais. A Tether passaria a ter direitos similares aos bancos comerciais, mas os deveres seriam muito diferentes. Isto levaria os bancos comerciais aos tribunais para exigir igualdade de tratamento, é uma concorrência desleal. Isto é o bom dos tribunais dos EUA, são independentes e funcionam, mesmo contra o estado. Os bancos comerciais têm custos exorbitantes devido às políticas de _compliance_, como o KYC e AML. Como o governo não vai querer aliviar as regras, logo seria a Tether, a ser obrigada a fazer o _compliance_ dos seus clientes. A obrigação do KYC para ter _stablecoins_ iriam provocar um terramoto no mundo cripto. Assim, é pouco provável que seja a solução para a Tether. ### FED Só resta uma hipótese, ser o próprio FED a controlar e a gerir diretamente as _stablecoins_ de dólar, nacionalizado ou absorvendo as existentes. Seria uma espécie de CBDC. Isto iria provocar um novo problema, um problema diplomático, porque as _stablecoins_ estão a colocar em causa a soberania monetária dos outros países. Atualmente as _stablecoins_ estão um pouco protegidas porque vivem num limbo jurídico, mas a partir do momento que estas são controladas pelo governo americano, tudo muda. Os países vão exigir às autoridades americanas medidas que limitem o uso nos seus respectivos países. Não existe uma solução boa, o sistema FIAT é um castelo de cartas, qualquer carta que se mova, vai provocar um desmoronamento noutro local. As autoridades não poderão adiar mais o problema, terão que o resolver de vez, senão, qualquer dia será tarde demais. Se houver algum problema, vão colocar a responsabilidade no cripto e no Bitcoin. Mas a verdade, a culpa é inteiramente dos políticos, da sua incompetência em resolver os problemas a tempo. Será algo para acompanhar futuramente, mas só para 2026, talvez… É curioso, há uns anos pensava-se que o Bitcoin seria a maior ameaça ao sistema ao FIAT, mas afinal, a maior ameaça aos sistema FIAT é o próprio FIAT(_stablecoins_). A ironia do destino. Isto é como uma corrida, o Bitcoin é aquele atleta que corre ao seu ritmo, umas vezes mais rápido, outras vezes mais lento, mas nunca pára. O FIAT é o atleta que dá tudo desde da partida, corre sempre em velocidade máxima. Só que a vida e o sistema financeiro não é uma prova de 100 metros, mas sim uma maratona. # Europa 2025 será um ano desafiante para todos europeus, sobretudo devido à entrada em vigor da regulamentação (MiCA). Vão começar a sentir na pele a regulamentação, vão agravar-se os problemas com os _compliance_, problemas para comprovar a origem de fundos e outras burocracias. Vai ser lindo. O _Travel Route_ passa a ser obrigatório, os europeus serão obrigados a fazer o KYC nas transações. A _Travel Route_ é uma suposta lei para criar mais transparência, mas prática, é uma lei de controle, de monitorização e para limitar as liberdades individuais dos cidadãos. O MiCA também está a colocar problemas nas _stablecoins_ de Euro, a Tether para já preferiu ficar de fora da europa. O mais ridículo é que as novas regras obrigam os emissores a colocar 30% das reservas em bancos comerciais. Os burocratas europeus não compreendem que isto coloca em risco a estabilidade e a solvência dos próprios bancos, ficam propensos a corridas bancárias. O MiCA vai obrigar a todas as exchanges a estar registadas em solo europeu, ficando vulnerável ao temperamento dos burocratas. Ainda não vai ser em 2025, mas a UE vai impor políticas de controle de capitais, é inevitável, as exchanges serão obrigadas a usar em exclusividade _stablecoins_ de euro, as restantes _stablecoins_ serão deslistadas. Todas estas novas regras do MiCA, são extremamente restritas, não é para garantir mais segurança aos cidadãos europeus, mas sim para garantir mais controle sobre a população. A UE está cada vez mais perto da autocracia, do que da democracia. A minha única esperança no horizonte, é que o sucesso das políticas cripto nos EUA, vai obrigar a UE a recuar e a aligeirar as regras, a teoria dos jogos é implacável. Mas esse recuo, nunca acontecerá em 2025, vai ser um longo período conturbado. # Recessão Os mercados estão todos em máximos históricos, isto não é sustentável por muito tempo, suspeito que no final de 2025 vai acontecer alguma correção nos mercados. A queda só não será maior, porque os bancos centrais vão imprimir dinheiro, muito dinheiro, como se não houvesse amanhã. Vão voltar a resolver os problemas com a injeção de liquidez na economia, é empurrar os problemas com a barriga, em de os resolver. Outra vez o efeito Cantillon. Será um ano muito desafiante a nível político, onde o papel dos políticos será fundamental. A crise política na França e na Alemanha, coloca a UE órfã, sem um comandante ao leme do navio. 2025 estará condicionado pelas eleições na Alemanha, sobretudo no resultado do AfD, que podem colocar em causa a propriedade UE e o euro. Possivelmente, só o fim da guerra poderia minimizar a crise, algo que é muito pouco provável acontecer. Em Portugal, a economia parece que está mais ou menos equilibrada, mas começam a aparecer alguns sinais preocupantes. Os jogos de sorte e azar estão em máximos históricos, batendo o recorde de 2014, época da grande crise, não é um bom sinal, possivelmente já existe algum desespero no ar. A Alemanha é o motor da Europa, quanto espirra, Portugal constipa-se. Além do problema da Alemanha, a Espanha também está à beira de uma crise, são os países que mais influenciam a economia portuguesa. Se existir uma recessão mundial, terá um forte impacto no turismo, que é hoje em dia o principal motor de Portugal. # Brasil Brasil é algo para acompanhar em 2025, sobretudo a nível macro e a nível político. Existe uma possibilidade de uma profunda crise no Brasil, sobretudo na sua moeda. O banco central já anda a queimar as reservas para minimizar a desvalorização do Real.  Sem mudanças profundas nas políticas fiscais, as reservas vão se esgotar. As políticas de controle de capitais são um cenário plausível, será interesse de acompanhar, como o governo irá proceder perante a existência do Bitcoin e _stablecoins_. No Brasil existe um forte adoção, será um bom _case study_, certamente irá repetir-se em outros países num futuro próximo. Os próximos tempos não serão fáceis para os brasileiros, especialmente para os que não têm Bitcoin. # Blockchain Em 2025, possivelmente vamos ver os primeiros passos da BlackRock para criar a primeira bolsa de valores, exclusivamente em _blockchain_. Eu acredito que a BlackRock vai criar uma própria _blockchain_, toda controlada por si, onde estarão os RWAs, para fazer concorrência às tradicionais bolsas de valores. Será algo interessante de acompanhar. ----------- Estas são as minhas previsões, eu escrevi isto muito em cima do joelho, certamente esqueci-me de algumas coisas, se for importante acrescentarei nos comentários. A maioria das previsões só acontecerá após 2025, mas fica aqui a minha opinião. Isto é apenas a minha opinião, **Don’t Trust, Verify**!

@ f9cf4e94:96abc355

Na era das grandes navegações, piratas ingleses eram autorizados pelo governo para roubar navios. A única coisa que diferenciava um pirata comum de um corsário é que o último possuía a “Carta do Corso”, que funcionava como um “Alvará para o roubo”, onde o governo Inglês legitimava o roubo de navios por parte dos corsários. É claro, que em troca ele exigia uma parte da espoliação. Bastante similar com a maneira que a Receita Federal atua, não? Na verdade, o caso é ainda pior, pois o governo fica com toda a riqueza espoliada, e apenas repassa um mísero salário para os corsários modernos, os agentes da receita federal. Porém eles “justificam” esse roubo ao chamá-lo de imposto, e isso parece acalmar os ânimos de grande parte da população, mas não de nós. Não é por acaso que 'imposto' é o particípio passado do verbo 'impor'. Ou seja, é aquilo que resulta do cumprimento obrigatório -- e não voluntário -- de todos os cidadãos. Se não for 'imposto' ninguém paga. Nem mesmo seus defensores. Isso mostra o quanto as pessoas realmente apreciam os serviços do estado. Apenas volte um pouco na história: os primeiros pagadores de impostos eram fazendeiros cujos territórios foram invadidos por nômades que pastoreavam seu gado. Esses invasores nômades forçavam os fazendeiros a lhes pagar uma fatia de sua renda em troca de "proteção". O fazendeiro que não concordasse era assassinado. Os nômades perceberam que era muito mais interessante e confortável apenas cobrar uma taxa de proteção em vez de matar o fazendeiro e assumir suas posses. Cobrando uma taxa, eles obtinham o que necessitavam. Já se matassem os fazendeiros, eles teriam de gerenciar por conta própria toda a produção da fazenda. Daí eles entenderam que, ao não assassinarem todos os fazendeiros que encontrassem pelo caminho, poderiam fazer desta prática um modo de vida. Assim nasceu o governo. Não assassinar pessoas foi o primeiro serviço que o governo forneceu. Como temos sorte em ter à nossa disposição esta instituição! Assim, não deixa de ser curioso que algumas pessoas digam que os impostos são pagos basicamente para impedir que aconteça exatamente aquilo que originou a existência do governo. O governo nasceu da extorsão. Os fazendeiros tinham de pagar um "arrego" para seu governo. Caso contrário, eram assassinados. Quem era a real ameaça? O governo. A máfia faz a mesma coisa. Mas existe uma forma de se proteger desses corsários modernos. Atualmente, existe uma propriedade privada que NINGUÉM pode tirar de você, ela é sua até mesmo depois da morte. É claro que estamos falando do Bitcoin. Fazendo as configurações certas, é impossível saber que você tem bitcoin. Nem mesmo o governo americano consegue saber. #brasil #bitcoinbrasil #nostrbrasil #grownostr #bitcoin

@ ee11a5df:b76c4e49

# China ## I might be wrong, but this is how I see it This is a post within a series I am going to call "I might be wrong, but this is how I see it" I have repeatedly found that my understanding of China is quite different from that of many libertarian-minded Americans. And so I make this post to explain how I see it. Maybe you will learn something. Maybe I will learn something. It seems to me that many American's see America as a shining beacon of freedom with a few small problems, and China is an evil communist country spreading communism everywhere. From my perspective, America *was* a shining beacon of freedom that has fallen to being typical in most ways, and which is now acting as a falling empire, and China *was* communist for about a decade, but turned and ran away from that as fast as they could (while not admitting it) and the result is that the US and China are not much different anymore when it comes to free markets. Except they are very different in some other respects. ## China has a big problem China has a big problem. But it is not the communism problem that most Westerners diagnose. I argue that China is no longer communist, it is only communist in name. And that while it is not a beacon of free market principles, it is nearly as free market now as Western nations like Germany and New Zealand are (being somewhat socialist themselves). No, China's real problem is authoritarian one-party rule. And that core problem causes all of the other problems, including its human rights abuses. ## Communism and Socialism Communism and Socialism are bad ideas. I don't want to argue it right here, but most readers will already understand this. The last thing I intend to do with this post is to bolster or defend those bad ideas. If you dear reader hold a candle for socialism, let me know and I can help you extinguish it with a future "I might be wrong, but this is how I see it" installment. Communism is the idea of structuring a society around common ownership of the means of production, distribution, and exchange, and the idea of allocating goods and services based on need. It eliminates the concept of private property, of social classes, ultimately of money and finally of the state itself. Back under Mao in 1958-1962 (The Great Leap Forward), China tried this (in part). Some 50+ million people died. It was an abject failure. But due to China's real problem (authoritarianism, even worship of their leaders), the leading classes never admitted this. And even today they continue to use the word "Communist" for things that aren't communist at all, as a way to save face, and also in opposition to the United States of America and Europe. Authorities are not eager to admit their faults. But this is not just a Chinese fault, it is a fault in human nature that affects all countries. The USA still refuses to admit they assassinated their own president JFK. They do not admit they bombed the Nord Stream pipeline. China defines "socialism with Chinese characteristics" to mean "the leadership of the Communist Party of China". So they still keep the words socialism and communism, but they long ago dropped the meanings of those words. I'm not sure if this is a political ploy against us in the West or not. ### China's Marketplace Today Today China exhibits very few of the properties of communism. They have some common ownership and state enterprises, but not much differently than Western countries (New Zealand owns Air New Zealand and Kiwibank and Kiwirail, etc). And there are private enterprises all over China. They compete and some succeed and some fail. You might hear about a real-estate bank collapsing. China has private property. They have mostly free markets. They have money, and the most definitely have social classes and a very strong state. None of that is inline with what communist thinkers want. Communist thinkers in China moan that China has turned away from communism. Deng Xiaoping who succeeded Mao and attempted to correct the massive mistake, did much when he said "to get rich is glorious." China achieved staggering rates of economic growth. 10% annually on average since 1977. Chinese economic reform started in 1979 and has continued through successive administrations (Deng, Jiang, Hu and now Xi). China is now the world's largest economy (by GDP in PPP terms) since 2016. I was first made aware of China's economic growth by Jim Rogers, an American commodities expert who travelled through China (and the rest of the world from 1990-1992) and in 2007 moved to Singapore where he ensured his daughters learned to speak Mandarin, because Jim knew where the economic growth was going to happen. Jim always spoke positively of China's economic prospects, and his view was so different from the "China is a nasty communist place" view that I had grown up with that my mind opened. How can anybody believe they are still a communist country? In what world does it make sense that communism can produce such a massively booming economy? It doesn't make sense because it is simply wrong. What *does* happen is that the CPC interferes. It lets the market do what markets do, but it interferes where it thinks oversight and regulation would produce a better result. Western nations interfere with their markets too. They have oversight and regulation. In fact some of China's planned reforms had to be put on hold by Xi due to Donald Trump's trade war with China. That's right, they were trying to be even more free market than America, but America's protectionism prodded Xi to keep control so he could fight back efficiently. Government oversight and regulation IMHO is mostly bad because it gets out of control, and there are no market forces to correct this. This gets even more extreme in a one-party system, so I can judge that China's oversight and regulation problems are very likely worse than those in Western nations (but I have no first hand experience or evidence). ## Why do you keep saying CPC? The Communist Party of China (CPC) is the ruling party in China. That is their official name. To call them the CCP is to concede to the idea that the British and Americans get to name everybody. I'm not sure who is right, since CPC or CCP is their "English" name (in Chinese it is 中国共产党 and Westernized it is Zhōngguó Gòngchǎndǎng). Nonetheless, I'll call them CPC because that is their wish. ## Social Credit System China moved from a planned economy to a market economy in stages. They didn't want any more sudden changes (can you blame them?). In the process, many institutions that have existed in the West for a long time didn't exist in China and they had to arise somehow. IMHO market forces would have brought these about in the private sector, but the one-party CP of China instead decided to create these. One of those institutions was a credit score system. In the West we have TransUnion and Equifax that maintain credit ratings on people, and we have S&P, Moody's and Fitch that maintain credit ratings on companies. The domain of these ratings is their financial credit-worthiness. So the People's Bank of China developed a credit information database for it's own needs. The government picked up on the idea and started moving towards a National Credit Management System. In 2004 it became an official goal to establish a credit system compatible with a modern market system. By 2006 banks were required to report on consumer creditworthiness. But unchecked one-party governmental power will often take a good idea (credit worthiness data shared among private parties) and systematize it and apply it top-down, creating a solution and a new problem at the same time. Nonetheless, originally it was about credit worthiness and also criminal convictions. That is no big scary thing that some right-wing American commentators will lead you to believe. In the US for example criminal records are public, so China's Social Credit System started out being no more over-reaching in scope than what Americans have lived under their entire lives, its only fault (a severe one) being centrally planned. And that remained the case up until about 2016 (in my estimation). But of course there is always scope creep. As it exists today, I have reason to believe that CPC officials and even A.I. use judgement calls to score someone on how moral that person has been! Of course that is not a good idea, and IMHO the problem stems from one-party rule, and authoritarian administration of ideas that should instead be handled by the private sector. ## Environmental, Social, and Governance ESG is a system that came out of a couple basic ideas. The first is that many two-party transactions actually have externalities. They don't just affect the two parties, they also affect everybody else. When you fly in an airplane, you increase the CO2 in the atmosphere that everybody has to pay for (eventually). You may dispute that example, but that is no doubt one of the motivations of ESG. But of course the recognition of this basic issue didn't lead all people towards market solutions (well it did, but those have been mostly messed up by others), but instead led many people towards ESG, which is a social credit scoring system which applies scores based on environmental and social side-effects of market transactions. This is not at all the same as China's social credit system, which I described above. I hope you can see the difference. In fact, China imported ESG from the West. Chinese companies, of their free will, in an attempt to court Western capital, achieve ESG goals for those Western investors. They have been playing this ESG game for 20 years just like the entire world has, because the West has imposed this faux-morality upon them. It isn't something China exported to us, it is something we exported to them. ## I think China has avoided Woke-ism My understanding of Chinese people, based on what I've heard many Chinese people say, is that China isn't affected by the Western woke-ism epidemic. They deride Western white woke people with the term "Baizuo". They have never sent an incompetent break dancer to the Olympics because of wok-ism. Competence is highly respected as is the competition to be the most competent, which (when augmented by a one-child policy which is no longer) has produced child prodigies like no other country has. ## What about predatory loans of the Belt and Road initiative? Predatory is an odd name for loans to people in need. The World Bank makes loans to people in need. China does too. China stands in opposition to Western Empire, and in that regard they produce their own alternative BRICS institutions. This is one of them. There is AFAIK nothing more predatory about them. It is just that in some cases the borrowers have trouble paying them back and they get foreclosed upon. I don't think this is worthy of much discussion, except that the term "predatory" seems to me to be a propaganda device. ## What about foreign influence from China? China wants to influence the world, especially its own trading partners and potential trading partners. Doing that above board is fine by me. But some of it is undoubtedly covert. Sometimes Chinese-born people run for public office in Western countries. In New Zealand we stood down some when it became clear they were being influenced too much by the CPC while being charged with representing their local town (dual loyalty issues). If only the USA would do the same thing to their dually-loyal politicians. And all large nations run influence operations. The USA has the CIA, for example, and claims this "soft power" is actually the better alternative to what would otherwise be military intervention (but IMHO shouldn't be either). I'm not defending such operations (I despise them), I'm just explaining how China's position of exerting influence is not only no big deal and totally expected, it pales in comparison to the United States' influence operations which often become military excursions (something China rarely ever does). ## What about the Great Firewall? Yeah, that sucks. Again, single-party authoritarian control gone to extremes. ## What about Human Rights Abuses? What about the Uyghur Genocide? I don't like them. To the extent they are occurring (and I lean towards the belief that they are occurring), I condemn them. China has anti-terrorism and anti-extremism policies that go too far. They end up oppressing and/or criminalizing cultures that aren't Chinese enough. But especially, China punishes dissent. Disagreement with the CPC is the high crime. It is the one-party rule that causes this problem. Anybody who speaks out against the CPC or goes against the state in any way is harshly punished. This happens to Uyghurs, to Falun Gong, to Tibetans, and to any religion that is seen as subversive. Amnesty International and the UN OHCHR have documented issues around the Xinjiang Uyghur autonomous region, Tibet, LGBT rights, death penalty, workers rights, and the Hong Kong special administrative region. I am not about to pretend I know better than they do, but to some extent they go too far. Amnesty International says this about the USA: Discrimination and violence against LGBTI people were widespread and anti-LGBTI legislation increased. Bills were introduced to address reparations regarding slavery and its legacies. Multiple states implemented total bans on abortion or severely limited access to it. Gender-based violence disproportionately affected Indigenous women. Access to the USA for asylum seekers and migrants was still fraught with obstacles, but some nationalities continued to enjoy Temporary Protected Status. Moves were made to restrict the freedom to protest in a number of states. Black people were disproportionately affected by the use of lethal force by police. No progress was made in the abolition of the death penalty, apart from in Washington. Arbitrary and indefinite detention in the US naval base Guantánamo Bay, Cuba, continued. Despite extensive gun violence, no further firearm reform policies were considered, but President Biden did announce the creation of the White House Office of Gun Violence Prevention. The USA continued to use lethal force in countries around the world. Black people, other racialized groups and low-income people bore the brunt of the health impacts of the petrochemical industry, and the use of fossil fuels continued unabated. Amnesty international didn't even point out that the US government quashes free speech via pressure on social media corporations (because Amnesty International is far too lefty). So who is worse, China or the US? I'm not going to make that judgement call, but suffice it to say that in my mind, China is not obviously worse. China violates freedom of expression, association, and assembly of all people. This is bad, and a consequence mainly of one-party rule (again, what I think is the root cause of most of their ills). They arrest, detain, potentially kill anybody who publicly disagrees openly with their government. Clearly this is an excess of authoritarianism, a cancer that is very advanced in China. As to organ harvesting of Uyghur Muslims, I think this is a myth. China has dealt harshly with Muslim extremism. They don't offer freedom of religion to ISIS. And Amnesty International complains about that. But practically speaking you probably shouldn't respect the extremist religion of people who want to force everybody into a global caliphate through threat of violence. As you are well aware, some extremist Muslims (<1% of Islam) believe in using violence to bring about a global caliphate. Those extremists pop up in every country and are usually dealt with harshly. China has had to deal with them too. I have watched two different Western YouTubers travel to Xinjiang province trying to find the oppressed Uyghurs and interview them. They can't find them. What they find instead are Uyghur Muslims doing their prayers five times a day at the local mosque. And also stories that the CPC pitched in some money to help them renovate the mosque. Maybe they were afraid it was a CPC trap and so they wouldn't speak freely. Amnesty International and the UN OHCHR say more than a million are "arbitrarily detained" and I'm not going to argue otherwise. But I'd be more convinced if there were a stream of pictures and news like there is out of Gaza, and it is suspicious that there isn't. ## Conclusion China is more like a Western nation that Westerners realize. Economically, militarily, socially. It still has a very serious obstacle to overcome: one-party rule. I don't think the one-party is going to voluntarily give up power. So most probably at some point in the future there will be a revolution. But in my opinion it won't happen anytime soon. For the most part Chinese people are living high on the hog, getting rich, enjoying the good life, in positive spirits about life, and are getting along with their government quite well at present.

@ b83e6f82:73c27758

## Citrine 0.6.0 - Update dependencies - Show notifications when importing, exporting, downloading events - Change database functions to be suspending functions Download it with [zap.store]( https://zap.store/download), [Obtainium]( https://github.com/ImranR98/Obtainium), [f-droid]( https://f-droid.org/packages/com.greenart7c3.citrine) or download it directly in the [releases page ]( https://github.com/greenart7c3/Citrine/releases/tag/v0.6.0) If you like my work consider making a [donation]( https://greenart7c3.com) ## Verifying the release In order to verify the release, you'll need to have `gpg` or `gpg2` installed on your system. Once you've obtained a copy (and hopefully verified that as well), you'll first need to import the keys that have signed this release if you haven't done so already: ``` bash gpg --keyserver hkps://keys.openpgp.org --recv-keys 44F0AAEB77F373747E3D5444885822EED3A26A6D ``` Once you have his PGP key you can verify the release (assuming `manifest-v0.6.0.txt` and `manifest-v0.6.0.txt.sig` are in the current directory) with: ``` bash gpg --verify manifest-v0.6.0.txt.sig manifest-v0.6.0.txt ``` You should see the following if the verification was successful: ``` bash gpg: Signature made Fri 13 Sep 2024 08:06:52 AM -03 gpg: using RSA key 44F0AAEB77F373747E3D5444885822EED3A26A6D gpg: Good signature from "greenart7c3 <greenart7c3@proton.me>" ``` That will verify the signature on the main manifest page which ensures integrity and authenticity of the binaries you've downloaded locally. Next, depending on your operating system you should then re-calculate the sha256 sum of the binary, and compare that with the following hashes: ``` bash cat manifest-v0.6.0.txt ``` One can use the `shasum -a 256 <file name here>` tool in order to re-compute the `sha256` hash of the target binary for your operating system. The produced hash should be compared with the hashes listed above and they should match exactly.

@ 16d11430:61640947

At the intersection of philosophy, theology, physics, biology, and finance lies a terrifying truth: the fiat monetary system, in its current form, is not just an economic framework but a silent, relentless force actively working against humanity's survival. It isn't simply a failed financial model—it is a systemic engine of destruction, both externally and within the very core of our biological existence. The Philosophical Void of Fiat Philosophy has long questioned the nature of value and the meaning of human existence. From Socrates to Kant, thinkers have pondered the pursuit of truth, beauty, and virtue. But in the modern age, the fiat system has hijacked this discourse. The notion of "value" in a fiat world is no longer rooted in human potential or natural resources—it is abstracted, manipulated, and controlled by central authorities with the sole purpose of perpetuating their own power. The currency is not a reflection of society’s labor or resources; it is a representation of faith in an authority that, more often than not, breaks that faith with reckless monetary policies and hidden inflation. The fiat system has created a kind of ontological nihilism, where the idea of true value, rooted in work, creativity, and family, is replaced with speculative gambling and short-term gains. This betrayal of human purpose at the systemic level feeds into a philosophical despair: the relentless devaluation of effort, the erosion of trust, and the abandonment of shared human values. In this nihilistic economy, purpose and meaning become increasingly difficult to find, leaving millions to question the very foundation of their existence. Theological Implications: Fiat and the Collapse of the Sacred Religious traditions have long linked moral integrity with the stewardship of resources and the preservation of life. Fiat currency, however, corrupts these foundational beliefs. In the theological narrative of creation, humans are given dominion over the Earth, tasked with nurturing and protecting it for future generations. But the fiat system promotes the exact opposite: it commodifies everything—land, labor, and life—treating them as mere transactions on a ledger. This disrespect for creation is an affront to the divine. In many theologies, creation is meant to be sustained, a delicate balance that mirrors the harmony of the divine order. Fiat systems—by continuously printing money and driving inflation—treat nature and humanity as expendable resources to be exploited for short-term gains, leading to environmental degradation and societal collapse. The creation narrative, in which humans are called to be stewards, is inverted. The fiat system, through its unholy alliance with unrestrained growth and unsustainable debt, is destroying the very creation it should protect. Furthermore, the fiat system drives idolatry of power and wealth. The central banks and corporations that control the money supply have become modern-day gods, their decrees shaping the lives of billions, while the masses are enslaved by debt and inflation. This form of worship isn't overt, but it is profound. It leads to a world where people place their faith not in God or their families, but in the abstract promises of institutions that serve their own interests. Physics and the Infinite Growth Paradox Physics teaches us that the universe is finite—resources, energy, and space are all limited. Yet, the fiat system operates under the delusion of infinite growth. Central banks print money without concern for natural limits, encouraging an economy that assumes unending expansion. This is not only an economic fallacy; it is a physical impossibility. In thermodynamics, the Second Law states that entropy (disorder) increases over time in any closed system. The fiat system operates as if the Earth were an infinite resource pool, perpetually able to expand without consequence. The real world, however, does not bend to these abstract concepts of infinite growth. Resources are finite, ecosystems are fragile, and human capacity is limited. Fiat currency, by promoting unsustainable consumption and growth, accelerates the depletion of resources and the degradation of natural systems that support life itself. Even the financial “growth” driven by fiat policies leads to unsustainable bubbles—inflated stock markets, real estate, and speculative assets that burst and leave ruin in their wake. These crashes aren’t just economic—they have profound biological consequences. The cycles of boom and bust undermine communities, erode social stability, and increase anxiety and depression, all of which affect human health at a biological level. Biology: The Fiat System and the Destruction of Human Health Biologically, the fiat system is a cancerous growth on human society. The constant chase for growth and the devaluation of work leads to chronic stress, which is one of the leading causes of disease in modern society. The strain of living in a system that values speculation over well-being results in a biological feedback loop: rising anxiety, poor mental health, physical diseases like cardiovascular disorders, and a shortening of lifespans. Moreover, the focus on profit and short-term returns creates a biological disconnect between humans and the planet. The fiat system fuels industries that destroy ecosystems, increase pollution, and deplete resources at unsustainable rates. These actions are not just environmentally harmful; they directly harm human biology. The degradation of the environment—whether through toxic chemicals, pollution, or resource extraction—has profound biological effects on human health, causing respiratory diseases, cancers, and neurological disorders. The biological cost of the fiat system is not a distant theory; it is being paid every day by millions in the form of increased health risks, diseases linked to stress, and the growing burden of mental health disorders. The constant uncertainty of an inflation-driven economy exacerbates these conditions, creating a society of individuals whose bodies and minds are under constant strain. We are witnessing a systemic biological unraveling, one in which the very act of living is increasingly fraught with pain, instability, and the looming threat of collapse. Finance as the Final Illusion At the core of the fiat system is a fundamental illusion—that financial growth can occur without any real connection to tangible value. The abstraction of currency, the manipulation of interest rates, and the constant creation of new money hide the underlying truth: the system is built on nothing but faith. When that faith falters, the entire system collapses. This illusion has become so deeply embedded that it now defines the human experience. Work no longer connects to production or creation—it is reduced to a transaction on a spreadsheet, a means to acquire more fiat currency in a world where value is ephemeral and increasingly disconnected from human reality. As we pursue ever-expanding wealth, the fundamental truths of biology—interdependence, sustainability, and balance—are ignored. The fiat system’s abstract financial models serve to disconnect us from the basic realities of life: that we are part of an interconnected world where every action has a reaction, where resources are finite, and where human health, both mental and physical, depends on the stability of our environment and our social systems. The Ultimate Extermination In the end, the fiat system is not just an economic issue; it is a biological, philosophical, theological, and existential threat to the very survival of humanity. It is a force that devalues human effort, encourages environmental destruction, fosters inequality, and creates pain at the core of the human biological condition. It is an economic framework that leads not to prosperity, but to extermination—not just of species, but of the very essence of human well-being. To continue on this path is to accept the slow death of our species, one based not on natural forces, but on our own choice to worship the abstract over the real, the speculative over the tangible. The fiat system isn't just a threat; it is the ultimate self-inflicted wound, a cultural and financial cancer that, if left unchecked, will destroy humanity’s chance for survival and peace.

@ a367f9eb:0633efea

I’ll admit that I was wrong about Bitcoin. Perhaps in 2013. Definitely 2017. Probably in 2018-2019. And maybe even today. Being wrong about Bitcoin is part of finally understanding it. It will test you, make you question everything, and in the words of BTC educator and privacy advocate [Matt Odell](https://twitter.com/ODELL), “Bitcoin will humble you”. I’ve had my own stumbles on the way. In a very public fashion in 2017, after years of using Bitcoin, trying to start a company with it, using it as my primary exchange vehicle between currencies, and generally being annoying about it at parties, I let out the bear. In an article published in my own literary magazine *Devolution Review* in September 2017, I had a breaking point. The article was titled “[Going Bearish on Bitcoin: Cryptocurrencies are the tulip mania of the 21st century](https://www.devolutionreview.com/bearish-on-bitcoin/)”. It was later republished in *Huffington Post* and across dozens of financial and crypto blogs at the time with another, more appropriate title: “[Bitcoin Has Become About The Payday, Not Its Potential](https://www.huffpost.com/archive/ca/entry/bitcoin-has-become-about-the-payday-not-its-potential_ca_5cd5025de4b07bc72973ec2d)”. As I laid out, my newfound bearishness had little to do with the technology itself or the promise of Bitcoin, and more to do with the cynical industry forming around it: > In the beginning, Bitcoin was something of a revolution to me. The digital currency represented everything from my rebellious youth. > > It was a decentralized, denationalized, and digital currency operating outside the traditional banking and governmental system. It used tools of cryptography and connected buyers and sellers across national borders at minimal transaction costs. > > … > > The 21st-century version (of Tulip mania) has welcomed a plethora of slick consultants, hazy schemes dressed up as investor possibilities, and too much wishy-washy language for anything to really make sense to anyone who wants to use a digital currency to make purchases. While I called out Bitcoin by name at the time, on reflection, I was really talking about the ICO craze, the wishy-washy consultants, and the altcoin ponzis. What I was articulating — without knowing it — was the frame of NgU, or “numbers go up”. Rather than advocating for Bitcoin because of its uncensorability, proof-of-work, or immutability, the common mentality among newbies and the dollar-obsessed was that Bitcoin mattered because its price was a rocket ship. And because Bitcoin was gaining in price, affinity tokens and projects that were imperfect forks of Bitcoin took off as well. The price alone — rather than its qualities — were the reasons why you’d hear Uber drivers, finance bros, or your gym buddy mention Bitcoin. As someone who came to Bitcoin for philosophical reasons, that just sat wrong with me. Maybe I had too many projects thrown in my face, or maybe I was too frustrated with the UX of Bitcoin apps and sites at the time. No matter what, I’ve since learned something. **I was at least somewhat wrong.** My own journey began in early 2011. One of my favorite radio programs, Free Talk Live, began interviewing guests and having discussions on the potential of Bitcoin. They tied it directly to a libertarian vision of the world: free markets, free people, and free banking. That was me, and I was in. Bitcoin was at about $5 back then (NgU). I followed every article I could, talked about it with guests [on my college radio show](https://libertyinexile.wordpress.com/2011/05/09/osamobama_on_the_tubes/), and became a devoted redditor on r/Bitcoin. At that time, at least to my knowledge, there was no possible way to buy Bitcoin where I was living. Very weak. **I was probably wrong. And very wrong for not trying to acquire by mining or otherwise.** The next year, after moving to Florida, Bitcoin was a heavy topic with a friend of mine who shared the same vision (and still does, according to the Celsius bankruptcy documents). We talked about it with passionate leftists at **Occupy Tampa** in 2012, all the while trying to explain the ills of Keynesian central banking, and figuring out how to use Coinbase. I began writing more about Bitcoin in 2013, writing a guide on “[How to Avoid Bank Fees Using Bitcoin](http://thestatelessman.com/2013/06/03/using-bitcoin/),” discussing its [potential legalization in Germany](https://yael.ca/2013/10/01/lagefi-alternative-monetaire-et-legislation-de/), and interviewing Jeremy Hansen, [one of the first political candidates in the U.S. to accept Bitcoin donations](https://yael.ca/2013/12/09/bitcoin-politician-wants-to-upgrade-democracy-in/). Even up until that point, I thought Bitcoin was an interesting protocol for sending and receiving money quickly, and converting it into fiat. The global connectedness of it, plus this cypherpunk mentality divorced from government control was both useful and attractive. I thought it was the perfect go-between. **But I was wrong.** When I gave my [first public speech](https://www.youtube.com/watch?v=CtVypq2f0G4) on Bitcoin in Vienna, Austria in December 2013, I had grown obsessed with Bitcoin’s adoption on dark net markets like Silk Road. My theory, at the time, was the number and price were irrelevant. The tech was interesting, and a novel attempt. It was unlike anything before. But what was happening on the dark net markets, which I viewed as the true free market powered by Bitcoin, was even more interesting. I thought these markets would grow exponentially and anonymous commerce via BTC would become the norm. While the price was irrelevant, it was all about buying and selling goods without permission or license. **Now I understand I was wrong.** Just because Bitcoin was this revolutionary technology that embraced pseudonymity did not mean that all commerce would decentralize as well. It did not mean that anonymous markets were intended to be the most powerful layer in the Bitcoin stack. What I did not even anticipate is something articulated very well by noted Bitcoin OG [Pierre Rochard](https://twitter.com/BitcoinPierre): [Bitcoin as a *savings technology*](https://www.youtube.com/watch?v=BavRqEoaxjI)*.* The ability to maintain long-term savings, practice self-discipline while stacking stats, and embrace a low-time preference was just not something on the mind of the Bitcoiners I knew at the time. Perhaps I was reading into the hype while outwardly opposing it. Or perhaps I wasn’t humble enough to understand the true value proposition that many of us have learned years later. In the years that followed, I bought and sold more times than I can count, and I did everything to integrate it into passion projects. I tried to set up a company using Bitcoin while at my university in Prague. My business model depended on university students being technologically advanced enough to have a mobile wallet, own their keys, and be able to make transactions on a consistent basis. Even though I was surrounded by philosophically aligned people, those who would advance that to actually put Bitcoin into practice were sparse. This is what led me to proclaim that “[Technological Literacy is Doomed](https://www.huffpost.com/archive/ca/entry/technological-literacy-is-doomed_b_12669440)” in 2016. **And I was wrong again.** Indeed, since that time, the UX of Bitcoin-only applications, wallets, and supporting tech has vastly improved and onboarded millions more people than anyone thought possible. The entrepreneurship, coding excellence, and vision offered by Bitcoiners of all stripes have renewed a sense in me that this project is something built for us all — friends and enemies alike. While many of us were likely distracted by flashy and pumpy altcoins over the years (me too, champs), most of us have returned to the Bitcoin stable. Fast forward to today, there are entire ecosystems of creators, activists, and developers who are wholly reliant on the magic of Bitcoin’s protocol for their life and livelihood. The options are endless. The FUD is still present, but real proof of work stands powerfully against those forces. In addition, there are now [dozens of ways to use Bitcoin privately](https://fixthemoney.substack.com/p/not-your-keys-not-your-coins-claiming) — still without custodians or intermediaries — that make it one of the most important assets for global humanity, especially in dictatorships. This is all toward a positive arc of innovation, freedom, and pure independence. Did I see that coming? Absolutely not. Of course, there are probably other shots you’ve missed on Bitcoin. Price predictions (ouch), the short-term inflation hedge, or the amount of institutional investment. While all of these may be erroneous predictions in the short term, we have to realize that Bitcoin is a long arc. It will outlive all of us on the planet, and it will continue in its present form for the next generation. **Being wrong about the evolution of Bitcoin is no fault, and is indeed part of the learning curve to finally understanding it all.** When your family or friends ask you about Bitcoin after your endless sessions explaining market dynamics, nodes, how mining works, and the genius of cryptographic signatures, try to accept that there is still so much we have to learn about this decentralized digital cash. There are still some things you’ve gotten wrong about Bitcoin, and plenty more you’ll underestimate or get wrong in the future. That’s what makes it a beautiful journey. It’s a long road, but one that remains worth it.

@ fd208ee8:0fd927c1

# When the shit just don't work Most open-source software is now so badly written and sloppily-maintained, that it's malware. That's why the governments are getting involved. They try using OS, to save money and improve quality (and to market themselves as "hip"), and then it blows up their system or opens them up to hackers. Now, they're pissed and want support (but the dev with the handle SucksToBeYou has disappeared) or someone to sue, but most OS projects have no identifiable entity behind them. Even well-known anon devs are often groups of anons or accounts that change hands. # The software cracks have moved on There is simply no evidence that OS alone produces higher-quality software. The reason it seemed that way, at the beginning, was because of the caliber of the developers working on the projects, and the limited number of projects. This resulted in experienced people actively reviewing each others' code. OS used to be something the elite engaged in, but it's mostly beginners practicing in public, now. That's why there are now millions of OS projects, happily offered for free, but almost all of them are garbage. The people now building OS usually aren't capable of reviewing other people's code, and they're producing worse products than ChatGPT could. Their software has no customers because it has no market value. # If everything is OS, then nothing is. Another paradigm-changer is that all software is de facto OS, now that we can quickly reverse-engineer code with AI. That means the focus is no longer on OS/not-OS, but on the accountability and reputation of the builders. It is, once again, a question of trust. We have come full-circle.

@ 2e8970de:63345c7a

 originally posted at https://stacker.news/items/883959

@ 1cb14ab3:95d52462

*Originally written in October 2022 (Block: 757258 / USD: $20.1k / SatsDollar: 4961). Refined with slight edits for publishing on Nostr in December 2024 (Block: 875189 / USD: $106k / SatsDollar: 938 ). Banner image property of Hes. My journey down the rabbit hole has only intensified since the time of writing. Enjoy.* --- The Bitcoin time perspective is wild. Reflecting on it has been profoundly eye-opening, and once it has been seen— there is no returning to our prior ways. Ever since venturing down the rabbit hole that we call Bitcoin, I’ve started making significant life decisions and forming nuanced opinions on polarizing topics based on the implications of multi-generational timeframes. Before Bitcoin, I spent money recklessly, leading a fast-paced and impulsive lifestyle. Even in my early days of learning about Bitcoin, I hadn’t fully seen the light. I would still blow the occasional $500 bar tab or buy some flashy gadget I didn’t need. Living in the moment has its merits, but so does considering the time beyond our own lives. Now, I pause before purchases and decisions, always reflecting on how they might impact the future. When your money isn’t constantly being devalued before your eyes, you start seeing the world differently. You begin saving for the future with confidence, knowing that no central authority can endlessly print away your hard-earned time and energy. Inflation doesn’t just erode purchasing power; it steals time. It destroys the hours, days, and years of effort represented by a lifetime of savings. When governments print money to prop up failing banks or fund inefficient ventures, the impact ripples through generations. Those at the bottom of the ladder are hit the hardest, their ability to save and plan for the future undermined by forces beyond their control. Decisions become focused on surviving today instead of thriving tomorrow, leaving little room to consider the long-term implications of our choices. This system creates a mindset where we are incentivized to spend now, instead of save for later—an unnatural phenomenon that most of us have accepted as normal. For individuals who simply want to put away money for a rainy day, inflation is a relentless adversary. A dollar in 1900 has lost over 96% of its value. The countless hours of labor behind those savings have been stolen. Not only did the expansion of money destroy what they could buy, it stole our time and energy. Years of our lives—blood, sweat, and tears—washed away. This isn’t just a historical problem—it’s a recurring one that occurs every decade or so and is accelerating. At an average inflation rate of 3%, the value of cash halves roughly every 23 years. This means that even modest inflation rates gradually diminish purchasing power over time, forcing individuals to chase speculative assets like stocks, real estate, and gold—not because they want to, but because they have no choice. Personal inflation rates differ depending on consumer habits, but a glance at rising prices reveals they often outpace the 2% annual rate reported by the government, which poses a significant problem for individua;s, as highlighted in the table below: <aside> **Inflation Rate (%)** | **Purchasing Power Halving (Years)** - 2% | 35-40 years - 3% | 20-25 years - 4% | 15-20 years - 5% | 10-15 years - 6% | 7-12 years - 7% | 5-10 years - 8% | 4-8 years - 9% | 3-6 years - 10% | 2-5 years </aside> Corporations like McDonald’s understand this. Sitting on a prime corner lot in every major city is far smarter than stacking a pile of cash losing value. Even if the franchise is losing money, the building it operates in is guaranteed to “rise” in value over time. This mindset trickles down to everyday people. To protect themselves, they’re compelled to invest in assets—with real estate being the pinnacle savings instrument of our time. The financial system we’ve accepted as normal turns shelter into an investment vehicle and savings into a gamble. But here’s the irony: real estate is a lousy store of value—which is what we are all truly seeking. Properties require constant maintenance. Without care, assets deteriorate. We’ve all seen abandoned theme parks and overgrown cities. We’ve all dealt with broken pipes and creaky floorboards. Why should saving our hard-earned wealth require us to become housing market experts, landlords, or property managers? Why should we pay financial advisors to manage stock portfolios full of companies whose values or practices we might not even believe in, just to beat inflation? A flawed monetary system inflates bubbles in real estate and stocks, redirecting resources into speculative markets instead of productive investments. Imagine a world where people don’t have to read quarterly earnings reports after a long day of work to ensure their cash retains value. If the incentives driving these bubbles were removed, the financial landscape would dramatically shift. Inflation wouldn’t push people into markets like real estate or zombie companies; instead, they could focus on building or supporting businesses they genuinely care about. They could plan for the long term and make well-thought-out, rational decisions about their future. Bitcoin takes this entire dynamic and flips it on its head. It isn’t a tool for speculation as often misunderstood. It is the best form of saving humanity has ever seen. Unlike fiat currencies, Bitcoin’s fixed supply ensures scarcity, making it a refuge from the erosion of wealth caused by inflation. As weak currencies flow into stronger ones (a concept known as Gresham’s Law), Bitcoin’s role as a store of value becomes clearer. It’s not that Bitcoin has “gone up 19,000%”—it’s that people are exchanging weaker money for stronger money. The implications of a world on a Bitcoin standard extend far beyond monetary policy. It offers something unprecedented: a tool for transferring the value of labor and energy across time and space. Unlike fiat, Bitcoin allows time to be preserved across generations. It isn’t just a hedge against inflation—it reintroduces the idea of saving with confidence, of being able to store wealth in a form of money that cannot be manipulated or devalued. By saving in Bitcoin, individuals are no longer tethered to the uncertainties of fiat systems. The Bitcoin time perspective is about aligning our actions today with the future we want to build tomorrow. It’s about prioritizing long-term impact over short-term gains. When you embrace Bitcoin, you embrace a mindset that values time, energy, and the well-being of future generations. It’s not just a currency; it’s a revolution in thinking that will change you forever. The past, present, and future converge in this new paradigm, offering hope in an otherwise uncertain world. Bitcoin isn’t a bubble; it’s a beacon. --- ### More from Hes: [Art](https://hes.npub.pro/tag/art/) [Store](https://plebeian.market/p/517d6542a081d61ecd8900ad9e2640290e2cf06f516c5e5f3edadfbde446bff4/stall/1db0cdfe0e39c4bd81b903902eeda74e6aa0f0b56e30851f327e6d0c292c5c06) [Travel Guides](https://hes.npub.pro/tag/travel/) [Photography](https://hes.npub.pro/tag/photography)

@ fe32298e:20516265

Today I learned how to install [NVapi](https://github.com/sammcj/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 ```

@ ee11a5df:b76c4e49

# Nostr 2? ## Breaking Changes in Nostr Nostr was a huge leap forward. But it isn't perfect. When developers notice a problem with nostr, they confer with each other to work out a solution to the problem. This is usually in the form of a NIP PR on the nips repo. Some problems are easy. Just add something new and optional. No biggie. Zaps, git stuff, bunkers... just dream it up and add it. Other problems can only be fixed by breaking changes. With a breaking change, the overall path forward is like this: Add the new way of doing it while preserving the old way. Push the major software to switch to the new way. Then deprecate the old way. This is a simplification, but it is the basic idea. It is how we solved markers/quotes/root and how we are upgrading encryption, among other things. This process of pushing through a breaking change becomes more difficult as we have more and more existing nostr software out there that will break. Most of the time what happens is that the major software is driven to make the change (usually by nostr:npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6), and the smaller software is left to fend for itself. A while back I introduced the BREAKING.md file to help people developing smaller lesser-known software keep up with these changes. ## Big Ideas But some ideas just can't be applied to nostr. The idea is too big. The change is too breaking. It changes something fundamental. And nobody has come up with a smooth path to move from the old way to the new way. And so we debate a bunch of things, and never settle on anything, and eventually nostr:npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6 makes a post saying that we don't really want it anyways 😉. As we encounter good ideas that are hard to apply to nostr, I've been filing them away in a repository I call "nostr-next", so we don't forget about them, in case we ever wanted to start over. It seems to me that starting over every time we encountered such a thing would be unwise. However, once we collect enough changes that we couldn't reasonably phase into nostr, then a tipping point is crossed where it becomes worthwhile to start over. In terms of the "bang for the buck" metaphor, the bang becomes bigger and bigger but the buck (the pain and cost of starting over) doesn't grow as rapidly. ## WHAT? Start over? IMHO starting over could be very bad if done in a cavalier way. The community could fracture. The new protocol could fail to take off due to lacking the network effect. The odds that a new protocol catches on are low, irrespective of how technically superior it could be. So the big question is: can we preserve the nostr community and it's network effect while making a major step-change to the protocol and software? I don't know the answer to that one, but I have an idea about it. I think the new-protocol clients can be dual-stack, creating events in both systems and linking those events together via tags. The nostr key identity would still be used, and the new system identity too. This is better than things like the mostr bridge because each user would remain in custody of their own keys. ## The nitty gritty Here are some of the things I think would make nostr better, but which nostr can't easily fix. A lot of these ideas have been mentioned before by multiple people and I didn't give credit to all of you (sorry) because my brain can't track it all. But I've been collecting these over time at https://github.com/mikedilger/nostr-next * Events as CBOR or BEVE or MsgPack or a fixed-schema binary layout... anything but JSON text with its parsing, it's encoding ambiguity, it's requirement to copy fields before hashing them, its unlimited size constraints. (me, nostr:npub1xtscya34g58tk0z605fvr788k263gsu6cy9x0mhnm87echrgufzsevkk5s) * EdDSA ed25519 keys instead of secp256k1, to enable interoperability with a bunch of other stuff like ssh, pgp, TLS, Mainline DHT, and many more, plus just being better cryptography (me, Nuh, Orlovsky, except Orlovsky wanted Ristretto25519 for speed) * Bootstrapping relay lists (and relay endpoints) from Mainline DHT (nostr:npub1jvxvaufrwtwj79s90n79fuxmm9pntk94rd8zwderdvqv4dcclnvs9s7yqz) * Master keys and revocable subkeys / device keys (including having your nostr key as a subkey) * Encryption to use different encryption-specific subkeys and ephemeral ones from the sender. * Relay keypairs, TLS without certificates, relays known by keypair instead of URL * Layered protocol (separate core from applications) * Software remembering when they first saw an event, for 2 reasons, the main one being revocation (don't trust the date in the event, trust when you first saw it), the second being more precise time range queries. * Upgrade/feature negotiation (HTTP headers prior to starting websockets) * IDs starting with a timestamp so they are temporally adjacent (significantly better database performance) (Vitor's idea) * Filters that allow boolean expressions on tag values, and also ID exclusions. Removing IDs from filters and moving to a GET command. * Changing the transport (I'm against this but I know others want to) ## What would it look like? Someone (Steve Farroll) has taken my nostr-next repo and turned it into a proposed protocol he calls [Mosaic](https://github.com/SteveFarroll/mosaic-spec). I think it is quite representative of that repo, as it already includes most of those suggestions, so I've been contributing to it. Mosaic spec is rendered [here](https://stevefarroll.github.io/mosaic-spec/). Of course, where Mosaic stands right now it is mostly my ideas (and Steve's), it doesn't have feedback or input from other nostr developers yet. That is what this blog post is about. I think it is time for other nostr devs to be made aware of this thing. It is currently in the massive breaking changes phase. It might not look that way because of the detail and refinement of the documentation, but indeed everything is changing rapidly. It probably has some bad ideas and is probably missing some great ideas that you have. Which is why this is a good time for other devs to start taking a look at it. It is also the time to debate meta issues like "are you crazy Mike?" or "no we have to just break nostr but keep it nostr, we can't dual-stack" or whatever. Personally I think mosaic-spec should develop and grow for quite a while before the "tipping point" happens. That is, I'm not sure we should jump in feet first yet, but rather we build up and refine this new protocol and spend a lot of time thinking about how to migrate smoothly, and break it a lot while nobody is using it. So you can just reply to this, or DM me, or open issues or PRs at [Mosaic](https://github.com/SteveFarroll/mosaic-spec), or just whisper to each other while giving me the evil eye.

@ 2f5de000:2f9bcef1

This Week I immersed myself in Bitcoin from multiple angles-technical, societal and personal. The journey included a marathon 32-hours of listening to [Rabbit Hole Recap (RHR)](https://fountain.fm/show/VDaMppQRUBZioj2XkaLn), an essential resource for Bitcoin insights. It's worth noting that I started from the begining and plan to make my way through the whole catalogue. Marty and Matt's timestamps, along with contributions from their guests, served as my roadmap. Using Fountain to stream, I also streamed sats-a small but extraordinary feature that allows users to stacks sats while compensating cretors directly through fractional donations. ## Revisiting Speculative Attack by Pierre Rochard (2014) Now that [*Speculative Attack Season 2*](https://nakamotoinstitute.org/mempool/speculative-attack-season-2/) *(which I've not read yet)* has been released. I took the time to read Pierre Rochards influential essay, [*Speculative Attack*](https://nakamotoinstitute.org/mempool/speculative-attack/) and reflected on its timeless insights. Rochard argues that Bitcoin adoption isn't dependent on technological advancements or consumer preferences, but on economic realities. As fiat currencies weaken, Bitcoin won't enter the mainstream by persuasion but by necessity. Critics continue to underestimate Bitcoin's inevitability due to their fiat biases and lack of financial insight. This year alone, mainstream media has been compelled to discuss Bitcoin-notably to Trump's endorsement of 'crypto.' Despite their attempts to shape narratives to suit their ideal visions, they've had no choice but to engage with Bitcoin's growing influence.\ \ As Parker aptly puts it 'Gradually, The Suddenly' ## Wassabi Wallet and the Privacy Imperative An RHR interview (from early in the catalogue) with guest Adam Ficsor, CTO and Co-founder of Wassabi Wallet, sparked a deeper consideration of my digital footprint. Like many, I've spent years online neglecting privacy in favour of convenience. The discussion on CoinJoins reminded me of the importance of prioritising privacy, not just romanticising it. Improving operational security (opsec) is now a personal focus. Resources like Jameson's *Cypherpunk Cogitations* and the Bitcoin Optech newsletter offer valuable guidance. While I've exercised caution, I recognise a need to address my laziness with opsec and take meaningful steps to protect my privacy. Time will reveal the results of these efforts. ## Caribbean Slavery amd Centralised Platforms While exploring historical systems of control, I delved into the brutal realities of [New World slavery in the British Caribbean](https://aeon.co/ideas/how-did-slaveholders-in-the-caribbean-maintain-control). Enslaved elites, like drivers, were granted limited privileges to maintain order, creating divisions within the community. This divide-and-rule strategy highlights the fragility of oppressive frameworks, which began to crumble with events like the Hatian Revolution and humanitarian activism. Interestingly, similar dynamics are visible with centralised plaforms like Twitter, LinkedIn, and Instagram. Verified accounts (the "blue checks") act as mordern day 'elites' with perceived freedoms. However, their autonomy is limited by the platforms centralised authority. Challenging the rules risks censorship and cancellation, proving their freedom is an illusion subject to the will of their overseers. Enhancing the argument further for protocols like Nostr to help people win back their freedoms.

@ 6f6b50bb:a848e5a1

Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona? Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità. La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo? La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso? La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli? Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare. ### Metafore per l’interazione Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso. La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito. Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli. Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer. ### Usare un’IA come un computer Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer. Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona: - **Scoperta.** Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini. - **Efficienza.** La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente. A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio. ### Una bicicletta della mente proteiforme La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te. Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente. Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose. Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo. La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare. ### Un nuovo paradigma per l’informatica? I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità. All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale. Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle. Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi? Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona? Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità. La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo? La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso? La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli? Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare. ### Metafore per l’interazione Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso. La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito. Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli. Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer. ### Usare un’IA come un computer Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer. Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona: Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini. Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente. A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio. ### Una bicicletta della mente proteiforme La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te. Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente. Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose. Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo. La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare. ### Un nuovo paradigma per l’informatica? I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità. All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale. Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle. Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi? Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo! Tradotto da:\ https://willwhitney.com/computing-inside-ai.htmlhttps://willwhitney.com/computing-inside-ai.html

@ dd664d5e:5633d319

 Christmas season hasn't actually started, yet, in Roman #Catholic Germany. We're in Advent until the evening of the 24th of December, at which point Christmas begins (with the Nativity, at Vespers), and continues on for 40 days until Mariä Lichtmess (Presentation of Christ in the temple) on February 2nd.  It's 40 days because that's how long the post-partum isolation is, before women were allowed back into the temple (after a ritual cleansing).  That is the day when we put away all of the Christmas decorations and bless the candles, for the next year. (Hence, the British name "Candlemas".) It used to also be when household staff would get paid their cash wages and could change employer. And it is the day precisely in the middle of winter.  Between Christmas Eve and Candlemas are many celebrations, concluding with the Twelfth Night called Epiphany or Theophany. This is the day some Orthodox celebrate Christ's baptism, so traditions rotate around blessing of waters.  The Monday after Epiphany was the start of the farming season, in England, so that Sunday all of the ploughs were blessed, but the practice has largely died out.  Our local tradition is for the altar servers to dress as the wise men and go door-to-door, carrying their star and looking for the Baby Jesus, who is rumored to be lying in a manger.  They collect cash gifts and chocolates, along the way, and leave the generous their powerful blessing, written over the door. The famous 20 * C + M + B * 25 blessing means "Christus mansionem benedicat" (Christ, bless this house), or "Caspar, Melchior, Balthasar" (the names of the three kings), depending upon who you ask. They offer the cash to the Baby Jesus (once they find him in the church's Nativity scene), but eat the sweets, themselves. It is one of the biggest donation-collections in the world, called the "Sternsinger" (star singers). The money goes from the German children, to help children elsewhere, and they collect around €45 million in cash and coins, every year.  As an interesting aside: The American "groundhog day", derives from one of the old farmers' sayings about Candlemas, brought over by the Pennsylvania Dutch. It says, that if the badger comes out of his hole and sees his shadow, then it'll remain cold for 4 more weeks. When they moved to the USA, they didn't have any badgers around, so they switched to groundhogs, as they also hibernate in winter.

@ e83b66a8:b0526c2b

I watched Tucker Carlson interview Roger Ver last night. I know we have our differences with Roger, and he has some less than pleasant personality traits, but he is facing 109 years in jail for tax evasion. While the charges may be technically correct, he should be able to pay the taxes and a fine and walk free. Even if we accept he did wrong, a minor prison term such as 6 months to 2 years would be appropriate in this case. We all know the severe penalty is an over reach by US authorities looking to make the whole crypto community scared about using any form of crypto as money. The US and many governments know they have lost the battle of Bitcoin as a hard asset, but this happened as a result of the Nash equilibrium, whereby you are forced to play a game that doesn’t benefit you, because not playing that game disadvantages you further. I.e. Governments loose control of the asset, but that asset is able to shore up their balance sheet and prevent your economy from failing (potentially). The war against Bitcoin (and other cryptos) as a currency, whereby you can use your Bitcoin to buy anything anywhere from a pint of milk in the local shop, to a house or car and everything in-between is a distant goal and one that is happening slowly. But it is happening and these are the new battle lines. Part of that battle is self custody, part is tax and part are the money transmitting laws. Roger’s case is also being used as a weapon of fear. I don’t hate Roger, the problem I have with Bitcoin cash is that you cannot run a full node from your home and if you can’t do this, it is left to large corporations to run the blockchain. Large corporations are much easier to control and coerce than thousands, perhaps millions of individuals. Just as China banned Bitcoin mining, so in this scenario it would be possible for governments to ban full nodes and enforce that ban by shutting down companies that attempted to do so. Also, if a currency like Bitcoin cash scaled to Visa size, then Bitcoin Cash the company would become the new Visa / Mastercard and only the technology would change. However, even Visa and Mastercard don’t keep transaction logs for years, that would require enormous amount of storage and have little benefit. Nobody needs a global ledger that keeps a record of every coffee purchased in every coffee shop since the beginning of blockchain time. This is why Bitcoin with a layer 2 payment system like Lightning is a better proposition than large blockchain cryptos. Once a payment channel is closed, the transactions are forgotten in the same way Visa and Mastercard only keep a transaction history for 1 or 2 years. This continues to allow the freedom for anybody, anywhere to verify the money they hold and the transactions they perform along with everybody else. We have consensus by verification.

@ 6389be64:ef439d32

Resilience is the ability to withstand shocks, adapt, and bounce back. It’s an essential quality in nature and in life. But what if we could take resilience a step further? What if, instead of merely surviving, a system could improve when faced with stress? This concept, known as anti-fragility, is not just theoretical—it’s practical. Combining two highly resilient natural tools, comfrey and biochar, reveals how we can create systems that thrive under pressure and grow stronger with each challenge. ### **Comfrey: Nature’s Champion of Resilience** Comfrey is a plant that refuses to fail. Once its deep roots take hold, it thrives in poor soils, withstands drought, and regenerates even after being cut down repeatedly. It’s a hardy survivor, but comfrey doesn’t just endure—it contributes. Known as a dynamic accumulator, it mines nutrients from deep within the earth and brings them to the surface, making them available for other plants. Beyond its ecological role, comfrey has centuries of medicinal use, earning the nickname "knitbone." Its leaves can heal wounds and restore health, a perfect metaphor for resilience. But as impressive as comfrey is, its true potential is unlocked when paired with another resilient force: biochar. ### **Biochar: The Silent Powerhouse of Soil Regeneration** Biochar, a carbon-rich material made by burning organic matter in low-oxygen conditions, is a game-changer for soil health. Its unique porous structure retains water, holds nutrients, and provides a haven for beneficial microbes. Soil enriched with biochar becomes drought-resistant, nutrient-rich, and biologically active—qualities that scream resilience. Historically, ancient civilizations in the Amazon used biochar to transform barren soils into fertile agricultural hubs. Known as *terra preta*, these soils remain productive centuries later, highlighting biochar’s remarkable staying power. Yet, like comfrey, biochar’s potential is magnified when it’s part of a larger system. ### **The Synergy: Comfrey and Biochar Together** Resilience turns into anti-fragility when systems go beyond mere survival and start improving under stress. Combining comfrey and biochar achieves exactly that. 1. **Nutrient Cycling and Retention**\ Comfrey’s leaves, rich in nitrogen, potassium, and phosphorus, make an excellent mulch when cut and dropped onto the soil. However, these nutrients can wash away in heavy rains. Enter biochar. Its porous structure locks in the nutrients from comfrey, preventing runoff and keeping them available for plants. Together, they create a system that not only recycles nutrients but amplifies their effectiveness. 2. **Water Management**\ Biochar holds onto water making soil not just drought-resistant but actively water-efficient, improving over time with each rain and dry spell. 3. **Microbial Ecosystems**\ Comfrey enriches soil with organic matter, feeding microbial life. Biochar provides a home for these microbes, protecting them and creating a stable environment for them to multiply. Together, they build a thriving soil ecosystem that becomes more fertile and resilient with each passing season. Resilient systems can withstand shocks, but anti-fragile systems actively use those shocks to grow stronger. Comfrey and biochar together form an anti-fragile system. Each addition of biochar enhances water and nutrient retention, while comfrey regenerates biomass and enriches the soil. Over time, the system becomes more productive, less dependent on external inputs, and better equipped to handle challenges. This synergy demonstrates the power of designing systems that don’t just survive—they thrive. ### **Lessons Beyond the Soil** The partnership of comfrey and biochar offers a valuable lesson for our own lives. Resilience is an admirable trait, but anti-fragility takes us further. By combining complementary strengths and leveraging stress as an opportunity, we can create systems—whether in soil, business, or society—that improve under pressure. Nature shows us that resilience isn’t the end goal. When we pair resilient tools like comfrey and biochar, we unlock a system that evolves, regenerates, and becomes anti-fragile. By designing with anti-fragility in mind, we don’t just bounce back, we bounce forward. By designing with anti-fragility in mind, we don’t just bounce back, we bounce forward.

@ e6817453:b0ac3c39

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.

@ e6817453:b0ac3c39

Hey folks! Today, let’s dive into the intriguing world of neurosymbolic approaches, retrieval-augmented generation (RAG), and personal knowledge graphs (PKGs). Together, these concepts hold much potential for bringing true reasoning capabilities to large language models (LLMs). So, let’s break down how symbolic logic, knowledge graphs, and modern AI can come together to empower future AI systems to reason like humans. ## The Neurosymbolic Approach: What It Means ? Neurosymbolic AI combines two historically separate streams of artificial intelligence: symbolic reasoning and neural networks. Symbolic AI uses formal logic to process knowledge, similar to how we might solve problems or deduce information. On the other hand, neural networks, like those underlying GPT-4, focus on learning patterns from vast amounts of data — they are probabilistic statistical models that excel in generating human-like language and recognizing patterns but often lack deep, explicit reasoning. While GPT-4 can produce impressive text, it’s still not very effective at reasoning in a truly logical way. Its foundation, transformers, allows it to excel in pattern recognition, but the models struggle with reasoning because, at their core, they rely on statistical probabilities rather than true symbolic logic. This is where neurosymbolic methods and knowledge graphs come in. ## Symbolic Calculations and the Early Vision of AI If we take a step back to the 1950s, the vision for artificial intelligence was very different. Early AI research was all about symbolic reasoning — where computers could perform logical calculations to derive new knowledge from a given set of rules and facts. Languages like **Lisp** emerged to support this vision, enabling programs to represent data and code as interchangeable symbols. Lisp was designed to be homoiconic, meaning it treated code as manipulatable data, making it capable of self-modification — a huge leap towards AI systems that could, in theory, understand and modify their own operations. ## Lisp: The Earlier AI-Language **Lisp**, short for “LISt Processor,” was developed by John McCarthy in 1958, and it became the cornerstone of early AI research. Lisp’s power lay in its flexibility and its use of symbolic expressions, which allowed developers to create programs that could manipulate symbols in ways that were very close to human reasoning. One of the most groundbreaking features of Lisp was its ability to treat code as data, known as homoiconicity, which meant that Lisp programs could introspect and transform themselves dynamically. This ability to adapt and modify its own structure gave Lisp an edge in tasks that required a form of self-awareness, which was key in the early days of AI when researchers were exploring what it meant for machines to “think.” Lisp was not just a programming language—it represented the vision for artificial intelligence, where machines could evolve their understanding and rewrite their own programming. This idea formed the conceptual basis for many of the self-modifying and adaptive algorithms that are still explored today in AI research. Despite its decline in mainstream programming, Lisp’s influence can still be seen in the concepts used in modern machine learning and symbolic AI approaches. ## Prolog: Formal Logic and Deductive Reasoning In the 1970s, **Prolog** was developed—a language focused on formal logic and deductive reasoning. Unlike Lisp, based on lambda calculus, Prolog operates on formal logic rules, allowing it to perform deductive reasoning and solve logical puzzles. This made Prolog an ideal candidate for expert systems that needed to follow a sequence of logical steps, such as medical diagnostics or strategic planning. Prolog, like Lisp, allowed symbols to be represented, understood, and used in calculations, creating another homoiconic language that allows reasoning. Prolog’s strength lies in its rule-based structure, which is well-suited for tasks that require logical inference and backtracking. These features made it a powerful tool for expert systems and AI research in the 1970s and 1980s. The language is declarative in nature, meaning that you define the problem, and Prolog figures out **how** to solve it. By using formal logic and setting constraints, Prolog systems can derive conclusions from known facts, making it highly effective in fields requiring explicit logical frameworks, such as legal reasoning, diagnostics, and natural language understanding. These symbolic approaches were later overshadowed during the AI winter — but the ideas never really disappeared. They just evolved. ## Solvers and Their Role in Complementing LLMs One of the most powerful features of **Prolog** and similar logic-based systems is their use of **solvers**. Solvers are mechanisms that can take a set of rules and constraints and automatically find solutions that satisfy these conditions. This capability is incredibly useful when combined with LLMs, which excel at generating human-like language but need help with logical consistency and structured reasoning. For instance, imagine a scenario where an LLM needs to answer a question involving multiple logical steps or a complex query that requires deducing facts from various pieces of information. In this case, a **solver** can derive valid conclusions based on a given set of logical rules, providing structured answers that the LLM can then articulate in natural language. This allows the LLM to retrieve information and ensure the logical integrity of its responses, leading to much more robust answers. Solvers are also ideal for handling **constraint satisfaction problems** — situations where multiple conditions must be met simultaneously. In practical applications, this could include scheduling tasks, generating optimal recommendations, or even diagnosing issues where a set of symptoms must match possible diagnoses. Prolog’s solver capabilities and LLM’s natural language processing power can make these systems highly effective at providing intelligent, rule-compliant responses that traditional LLMs would struggle to produce alone. By integrating **neurosymbolic methods** that utilize solvers, we can provide LLMs with a form of deductive reasoning that is missing from pure deep-learning approaches. This combination has the potential to significantly improve the quality of outputs for use-cases that require explicit, structured problem-solving, from legal queries to scientific research and beyond. Solvers give LLMs the backbone they need to not just generate answers but to do so in a way that respects logical rigor and complex constraints. ## Graph of Rules for Enhanced Reasoning Another powerful concept that complements LLMs is using a **graph of rules**. A graph of rules is essentially a structured collection of logical rules that interconnect in a network-like structure, defining how various entities and their relationships interact. This structured network allows for complex reasoning and information retrieval, as well as the ability to model intricate relationships between different pieces of knowledge. In a **graph of rules**, each node represents a rule, and the edges define relationships between those rules — such as dependencies or causal links. This structure can be used to enhance LLM capabilities by providing them with a formal set of rules and relationships to follow, which improves logical consistency and reasoning depth. When an LLM encounters a problem or a question that requires multiple logical steps, it can traverse this graph of rules to generate an answer that is not only linguistically fluent but also logically robust. For example, in a healthcare application, a graph of rules might include nodes for medical symptoms, possible diagnoses, and recommended treatments. When an LLM receives a query regarding a patient’s symptoms, it can use the graph to traverse from symptoms to potential diagnoses and then to treatment options, ensuring that the response is coherent and medically sound. The graph of rules guides reasoning, enabling LLMs to handle complex, multi-step questions that involve chains of reasoning, rather than merely generating surface-level responses. Graphs of rules also enable **modular reasoning**, where different sets of rules can be activated based on the context or the type of question being asked. This modularity is crucial for creating adaptive AI systems that can apply specific sets of logical frameworks to distinct problem domains, thereby greatly enhancing their versatility. The combination of **neural fluency** with **rule-based structure** gives LLMs the ability to conduct more advanced reasoning, ultimately making them more reliable and effective in domains where accuracy and logical consistency are critical. By implementing a graph of rules, LLMs are empowered to perform **deductive reasoning** alongside their generative capabilities, creating responses that are not only compelling but also logically aligned with the structured knowledge available in the system. This further enhances their potential applications in fields such as law, engineering, finance, and scientific research — domains where logical consistency is as important as linguistic coherence. ## Enhancing LLMs with Symbolic Reasoning Now, with LLMs like GPT-4 being mainstream, there is an emerging need to add real reasoning capabilities to them. This is where **neurosymbolic approaches** shine. Instead of pitting neural networks against symbolic reasoning, these methods combine the best of both worlds. The neural aspect provides language fluency and recognition of complex patterns, while the symbolic side offers real reasoning power through formal logic and rule-based frameworks. **Personal Knowledge Graphs (PKGs)** come into play here as well. Knowledge graphs are data structures that encode entities and their relationships — they’re essentially semantic networks that allow for structured information retrieval. When integrated with neurosymbolic approaches, LLMs can use these graphs to answer questions in a far more contextual and precise way. By retrieving relevant information from a knowledge graph, they can ground their responses in well-defined relationships, thus improving both the relevance and the logical consistency of their answers. Imagine combining an LLM with a **graph of rules** that allow it to reason through the relationships encoded in a personal knowledge graph. This could involve using **deductive databases** to form a sophisticated way to represent and reason with symbolic data — essentially constructing a powerful hybrid system that uses LLM capabilities for language fluency and rule-based logic for structured problem-solving. ## My Research on Deductive Databases and Knowledge Graphs I recently did some research on modeling **knowledge graphs using deductive databases**, such as DataLog — which can be thought of as a limited, data-oriented version of Prolog. What I’ve found is that it’s possible to use formal logic to model knowledge graphs, ontologies, and complex relationships elegantly as rules in a deductive system. Unlike classical RDF or traditional ontology-based models, which sometimes struggle with complex or evolving relationships, a deductive approach is more flexible and can easily support dynamic rules and reasoning. **Prolog** and similar logic-driven frameworks can complement LLMs by handling the parts of reasoning where explicit rule-following is required. LLMs can benefit from these rule-based systems for tasks like entity recognition, logical inferences, and constructing or traversing knowledge graphs. We can even create a **graph of rules** that governs how relationships are formed or how logical deductions can be performed. The future is really about creating an AI that is capable of both deep contextual understanding (using the powerful generative capacity of LLMs) and true reasoning (through symbolic systems and knowledge graphs). With the neurosymbolic approach, these AIs could be equipped not just to generate information but to explain their reasoning, form logical conclusions, and even improve their own understanding over time — getting us a step closer to true artificial general intelligence. ## Why It Matters for LLM Employment Using **neurosymbolic RAG (retrieval-augmented generation)** in conjunction with personal knowledge graphs could revolutionize how LLMs work in real-world applications. Imagine an LLM that understands not just language but also the relationships between different concepts — one that can navigate, reason, and explain complex knowledge domains by actively engaging with a personalized set of facts and rules. This could lead to practical applications in areas like healthcare, finance, legal reasoning, or even personal productivity — where LLMs can help users solve complex problems logically, providing relevant information and well-justified reasoning paths. The combination of **neural fluency** with **symbolic accuracy and deductive power** is precisely the bridge we need to move beyond purely predictive AI to truly intelligent systems. Let's explore these ideas further if you’re as fascinated by this as I am. Feel free to reach out, follow my YouTube channel, or check out some articles I’ll link below. And if you’re working on anything in this field, I’d love to collaborate! Until next time, folks. Stay curious, and keep pushing the boundaries of AI!

@ e6817453:b0ac3c39

## Introduction: Personal Knowledge Graphs and Linked Data We will explore the world of personal knowledge graphs and discuss how they can be used to model complex information structures. Personal knowledge graphs aren’t just abstract collections of nodes and edges—they encode meaningful relationships, contextualizing data in ways that enrich our understanding of it. While the core structure might be a directed graph, we layer semantic meaning on top, enabling nuanced connections between data points. The origin of knowledge graphs is deeply tied to concepts from linked data and the semantic web, ideas that emerged to better link scattered pieces of information across the web. This approach created an infrastructure where data islands could connect — facilitating everything from more insightful AI to improved personal data management. In this article, we will explore how these ideas have evolved into tools for modeling AI’s semantic memory and look at how knowledge graphs can serve as a flexible foundation for encoding rich data contexts. We’ll specifically discuss three major paradigms: RDF (Resource Description Framework), property graphs, and a third way of modeling entities as graphs of graphs. Let’s get started. ## Intro to RDF The Resource Description Framework (RDF) has been one of the fundamental standards for linked data and knowledge graphs. RDF allows data to be modeled as triples: subject, predicate, and object. Essentially, you can think of it as a structured way to describe relationships: “X has a Y called Z.” For instance, “Berlin has a population of 3.5 million.” This modeling approach is quite flexible because RDF uses unique identifiers — usually URIs — to point to data entities, making linking straightforward and coherent. RDFS, or RDF Schema, extends RDF to provide a basic vocabulary to structure the data even more. This lets us describe not only individual nodes but also relationships among types of data entities, like defining a class hierarchy or setting properties. For example, you could say that “Berlin” is an instance of a “City” and that cities are types of “Geographical Entities.” This kind of organization helps establish semantic meaning within the graph. ## RDF and Advanced Topics ## Lists and Sets in RDF RDF also provides tools to model more complex data structures such as lists and sets, enabling the grouping of nodes. This extension makes it easier to model more natural, human-like knowledge, for example, describing attributes of an entity that may have multiple values. By adding RDF Schema and OWL (Web Ontology Language), you gain even more expressive power — being able to define logical rules or even derive new relationships from existing data. ## Graph of Graphs A significant feature of RDF is the ability to form complex nested structures, often referred to as graphs of graphs. This allows you to create “named graphs,” essentially subgraphs that can be independently referenced. For example, you could create a named graph for a particular dataset describing Berlin and another for a different geographical area. Then, you could connect them, allowing for more modular and reusable knowledge modeling. ## Property Graphs While RDF provides a robust framework, it’s not always the easiest to work with due to its heavy reliance on linking everything explicitly. This is where property graphs come into play. Property graphs are less focused on linking everything through triples and allow more expressive properties directly within nodes and edges. For example, instead of using triples to represent each detail, a property graph might let you store all properties about an entity (e.g., “Berlin”) directly in a single node. This makes property graphs more intuitive for many developers and engineers because they more closely resemble object-oriented structures: you have entities (nodes) that possess attributes (properties) and are connected to other entities through relationships (edges). The significant benefit here is a condensed representation, which speeds up traversal and queries in some scenarios. However, this also introduces a trade-off: while property graphs are more straightforward to query and maintain, they lack some complex relationship modeling features RDF offers, particularly when connecting properties to each other. ## Graph of Graphs and Subgraphs for Entity Modeling A third approach — which takes elements from RDF and property graphs — involves modeling entities using subgraphs or nested graphs. In this model, each entity can be represented as a graph. This allows for a detailed and flexible description of attributes without exploding every detail into individual triples or lump them all together into properties. For instance, consider a person entity with a complex employment history. Instead of representing every employment detail in one node (as in a property graph), or as several linked nodes (as in RDF), you can treat the employment history as a subgraph. This subgraph could then contain nodes for different jobs, each linked with specific properties and connections. This approach keeps the complexity where it belongs and provides better flexibility when new attributes or entities need to be added. ## Hypergraphs and Metagraphs When discussing more advanced forms of graphs, we encounter hypergraphs and metagraphs. These take the idea of relationships to a new level. A hypergraph allows an edge to connect more than two nodes, which is extremely useful when modeling scenarios where relationships aren’t just pairwise. For example, a “Project” could connect multiple “People,” “Resources,” and “Outcomes,” all in a single edge. This way, hypergraphs help in reducing the complexity of modeling high-order relationships. Metagraphs, on the other hand, enable nodes and edges to themselves be represented as graphs. This is an extremely powerful feature when we consider the needs of artificial intelligence, as it allows for the modeling of relationships between relationships, an essential aspect for any system that needs to capture not just facts, but their interdependencies and contexts. ## Balancing Structure and Properties One of the recurring challenges when modeling knowledge is finding the balance between structure and properties. With RDF, you get high flexibility and standardization, but complexity can quickly escalate as you decompose everything into triples. Property graphs simplify the representation by using attributes but lose out on the depth of connection modeling. Meanwhile, the graph-of-graphs approach and hypergraphs offer advanced modeling capabilities at the cost of increased computational complexity. So, how do you decide which model to use? It comes down to your use case. RDF and nested graphs are strong contenders if you need deep linkage and are working with highly variable data. For more straightforward, engineer-friendly modeling, property graphs shine. And when dealing with very complex multi-way relationships or meta-level knowledge, hypergraphs and metagraphs provide the necessary tools. The key takeaway is that only some approaches are perfect. Instead, it’s all about the modeling goals: how do you want to query the graph, what relationships are meaningful, and how much complexity are you willing to manage? ## Conclusion Modeling AI semantic memory using knowledge graphs is a challenging but rewarding process. The different approaches — RDF, property graphs, and advanced graph modeling techniques like nested graphs and hypergraphs — each offer unique strengths and weaknesses. Whether you are building a personal knowledge graph or scaling up to AI that integrates multiple streams of linked data, it’s essential to understand the trade-offs each approach brings. In the end, the choice of representation comes down to the nature of your data and your specific needs for querying and maintaining semantic relationships. The world of knowledge graphs is vast, with many tools and frameworks to explore. Stay connected and keep experimenting to find the balance that works for your projects.

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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.”

@ 3b19f10a:4e1f94b4

Sometimes perspective is everything... #[artmodel]( https://bsky.app/hashtag/artmodel) #[nude]( https://bsky.app/hashtag/nude) #[nudemodel]( https://bsky.app/hashtag/nudemodel) ------   

@ 0d532801:197a0c30

[Mr. Robot]( https://www.piktobet.net/2015/10/mr-robot.html) Dünya tehlikeli bir yer. Kötülük yapanlar yüzünden değil, görüp de hiçbir şey yapmayanlar yüzünden. İnsanları okumada çok iyiyimdir. İçlerindeki en kötü şeyi ararım. Herkes çalar. Bu böyledir. İnsanlar tam anlamıyla hak ettiklerini mi kazanıyorlar? Hayır. Ya fazla ya da az alıyorlar ama zincirdeki biri her zaman kaymağını götürüyor. Bir adama bir silah verirsen bir bankayı soyabilir ama bir adama bir banka verirsen dünyayı soyar. İnsanlar her zaman umudumu boşa çıkarmanın bir yolunu buldu. Bir holdingi kalbini hedef alarak çökertemezsin. Holdinglerin olayı budur, kalpleri olmaz. Onları parça parça çökertirsin. Ve çözülmeye başladıkları zaman kontrol yanılsamaları da çözülür. Büyük bir fırsat ondan faydalanılmasını bekler. Seçimlerimiz üzerinde kontrol sahibi olup olmadığımızı nasıl bileceğiz? Sadece önümüze gelen şeyin en iyisini yapmaya çalışıyoruz, olay bu. Sürekli iki seçenekten birini seçmeye çalışıyoruz. Tıpkı bekleme salonundaki iki tablo gibi. Ya da Coca-Cola ve Pepsi. Mcdonald's veya Burger King. Hyundai veya Honda. Hepsi aynı bulanıklığın parçası. Odak dışında kalan bulanıklık. Seçimin yanılsaması. Kendi istediğimiz kablolu yayın, doğalgaz ve elektrik şirketini bile seçemiyoruz. içtiğimiz su, sağlık sigortamız.. Seçebilseydik bile fark eder miydi ki? Eğer tek seçim şansımız kılıç ve kalkan arasında oluyorsa bu nasıl seçimdir amına koyayım? Aslında aynı değiller midir? Hayır, seçimlerimiz bizim için tayin edilmiş uzun zaman önce. İnsanlar etrafta dolaşıp nefretin ne demek olduğunu biliyormuş gibi yapıyorlar. Hayır, kimse bilemez. Ta ki kendinden nefret edene kadar. Demek istediğim, gerçekten kendinden nefret etmek. Bu, güçtür. İnsanlar iletişim kuramadıkları zaman öfkelenir. İçinde yaşadığımız dünya bu. İnsanlar birbirlerinin hatalarına bel bağlıyor. Birbirlerini kandırmak için başkalarını kullanıyorlar. Hatta birbirleri ile ilişkili oluyorlar. Sıcak, dağınık bir insan çemberi. Bu, kendimi korumanın tek yolu: onlara asla kaynak kodumu göstermemek. Kendimi kapatmak. Beni kimsenin bulamayacağı soğuk, kusursuz labirentimi yaratmak. Ama artık daha normal olacağım. Belki kız arkadaşım bile olabilir. Onunla birlikte aptal marvel filmlerine gideceğim. Spor salonuna yazılacağım. Instagram'da bir şeyleri beğeneceğim. Vanilyalı latteler içeceğim. Bu andan itibaren açıksız bir hayat süreceğim. Kusursuz labirentimi korumak için her şeyi yapacağım. Bir maskeyi, artık maske olmayı bıraktığında nasıl çıkarırsın? Senin kadar senin bir parçan olduğunda.

@ e31e84c4:77bbabc0

*Bitcoin and Fixed Income was Written By Wyatt O’Rourke. If you enjoyed this article then support his writing, directly, by donating to his lightning wallet: ultrahusky3@primal.net* Fiduciary duty is the obligation to act in the client’s best interests at all times, prioritizing their needs above the advisor’s own, ensuring honesty, transparency, and avoiding conflicts of interest in all recommendations and actions. This is something all advisors in the BFAN take very seriously; after all, we are legally required to do so. For the average advisor this is a fairly easy box to check. All you essentially have to do is have someone take a 5-minute risk assessment, fill out an investment policy statement, and then throw them in the proverbial 60/40 portfolio. You have thousands of investment options to choose from and you can reasonably explain how your client is theoretically insulated from any move in the \~markets\~. From the traditional financial advisor perspective, you could justify nearly anything by putting a client into this type of portfolio. All your bases were pretty much covered from return profile, regulatory, compliance, investment options, etc. It was just too easy. It became the household standard and now a meme. As almost every real bitcoiner knows, the 60/40 portfolio is moving into psyop territory, and many financial advisors get clowned on for defending this relic on bitcoin twitter. I’m going to specifically poke fun at the ‘40’ part of this portfolio. The ‘40’ represents fixed income, defined as… > An investment type that provides regular, set interest payments, such as bonds or treasury securities, and returns the principal at maturity. It’s generally considered a lower-risk asset class, used to generate stable income and preserve capital. Historically, this part of the portfolio was meant to weather the volatility in the equity markets and represent the “safe” investments. Typically, some sort of bond. First and foremost, the fixed income section is most commonly constructed with U.S. Debt. There are a couple main reasons for this. Most financial professionals believe the same fairy tale that U.S. Debt is “risk free” (lol). U.S. debt is also one of the largest and most liquid assets in the market which comes with a lot of benefits. There are many brilliant bitcoiners in finance and economics that have sounded the alarm on the U.S. debt ticking time bomb. I highly recommend readers explore the work of Greg Foss, Lawrence Lepard, Lyn Alden, and Saifedean Ammous. My very high-level recap of their analysis: - A bond is a contract in which Party A (the borrower) agrees to repay Party B (the lender) their principal plus interest over time. - The U.S. government issues bonds (Treasury securities) to finance its operations after tax revenues have been exhausted. - These are traditionally viewed as “risk-free” due to the government’s historical reliability in repaying its debts and the strength of the U.S. economy - U.S. bonds are seen as safe because the government has control over the dollar (world reserve asset) and, until recently (20 some odd years), enjoyed broad confidence that it would always honor its debts. - This perception has contributed to high global demand for U.S. debt but, that is quickly deteriorating. - The current debt situation raises concerns about sustainability. - The U.S. has substantial obligations, and without sufficient productivity growth, increasing debt may lead to a cycle where borrowing to cover interest leads to more debt. - This could result in more reliance on money creation (printing), which can drive inflation and further debt burdens. In the words of Lyn Alden “Nothing stops this train” Those obligations are what makes up the 40% of most the fixed income in your portfolio. So essentially you are giving money to one of the worst capital allocators in the world (U.S. Gov’t) and getting paid back with printed money. As someone who takes their fiduciary responsibility seriously and understands the debt situation we just reviewed, I think it’s borderline negligent to put someone into a classic 60% (equities) / 40% (fixed income) portfolio without serious scrutiny of the client’s financial situation and options available to them. I certainly have my qualms with equities at times, but overall, they are more palatable than the fixed income portion of the portfolio. I don’t like it either, but the money is broken and the unit of account for nearly every equity or fixed income instrument (USD) is fraudulent. It’s a paper mache fade that is quite literally propped up by the money printer. To briefly be as most charitable as I can – It wasn’t always this way. The U.S. Dollar used to be sound money, we used to have government surplus instead of mathematically certain deficits, The U.S. Federal Government didn’t used to have a money printing addiction, and pre-bitcoin the 60/40 portfolio used to be a quality portfolio management strategy. Those times are gone. ### Now the fun part. How does bitcoin fix this? Bitcoin fixes this indirectly. Understanding investment criteria changes via risk tolerance, age, goals, etc. A client may still have a need for “fixed income” in the most literal definition – Low risk yield. Now you may be thinking that yield is a bad word in bitcoin land, you’re not wrong, so stay with me. Perpetual motion machine crypto yield is fake and largely where many crypto scams originate. However, that doesn’t mean yield in the classic finance sense does not exist in bitcoin, it very literally does. Fortunately for us bitcoiners there are many other smart, driven, and enterprising bitcoiners that understand this problem and are doing something to address it. These individuals are pioneering new possibilities in bitcoin and finance, specifically when it comes to fixed income. Here are some new developments – Private Credit Funds – The Build Asset Management Secured Income Fund I is a private credit fund created by Build Asset Management. This fund primarily invests in bitcoin-backed, collateralized business loans originated by Unchained, with a secured structure involving a multi-signature, over-collateralized setup for risk management. Unchained originates loans and sells them to Build, which pools them into the fund, enabling investors to share in the interest income. Dynamics - Loan Terms: Unchained issues loans at interest rates around 14%, secured with a 2/3 multi-signature vault backed by a 40% loan-to-value (LTV) ratio. - Fund Mechanics: Build buys these loans from Unchained, thus providing liquidity to Unchained for further loan originations, while Build manages interest payments to investors in the fund. Pros - The fund offers a unique way to earn income via bitcoin-collateralized debt, with protection against rehypothecation and strong security measures, making it attractive for investors seeking exposure to fixed income with bitcoin. Cons - The fund is only available to accredited investors, which is a regulatory standard for private credit funds like this. Corporate Bonds – MicroStrategy Inc. (MSTR), a business intelligence company, has leveraged its corporate structure to issue bonds specifically to acquire bitcoin as a reserve asset. This approach allows investors to indirectly gain exposure to bitcoin’s potential upside while receiving interest payments on their bond investments. Some other publicly traded companies have also adopted this strategy, but for the sake of this article we will focus on MSTR as they are the biggest and most vocal issuer. Dynamics - Issuance: MicroStrategy has issued senior secured notes in multiple offerings, with terms allowing the company to use the proceeds to purchase bitcoin. - Interest Rates: The bonds typically carry high-yield interest rates, averaging around 6-8% APR, depending on the specific issuance and market conditions at the time of issuance. - Maturity: The bonds have varying maturities, with most structured for multi-year terms, offering investors medium-term exposure to bitcoin’s value trajectory through MicroStrategy’s holdings. Pros - Indirect Bitcoin exposure with income provides a unique opportunity for investors seeking income from bitcoin-backed debt. - Bonds issued by MicroStrategy offer relatively high interest rates, appealing for fixed-income investors attracted to the higher risk/reward scenarios. Cons - There are credit risks tied to MicroStrategy’s financial health and bitcoin’s performance. A significant drop in bitcoin prices could strain the company’s ability to service debt, increasing credit risk. - Availability: These bonds are primarily accessible to institutional investors and accredited investors, limiting availability for retail investors.  Interest Payable in Bitcoin – River has introduced an innovative product, bitcoin Interest on Cash, allowing clients to earn interest on their U.S. dollar deposits, with the interest paid in bitcoin. Dynamics - Interest Payment: Clients earn an annual interest rate of 3.8% on their cash deposits. The accrued interest is converted to Bitcoin daily and paid out monthly, enabling clients to accumulate Bitcoin over time. - Security and Accessibility: Cash deposits are insured up to $250,000 through River’s banking partner, Lead Bank, a member of the FDIC. All Bitcoin holdings are maintained in full reserve custody, ensuring that client assets are not lent or leveraged. Pros - There are no hidden fees or minimum balance requirements, and clients can withdraw their cash at any time. - The 3.8% interest rate provides a predictable income stream, akin to traditional fixed-income investments. Cons - While the interest rate is fixed, the value of the Bitcoin received as interest can fluctuate, introducing potential variability in the investment’s overall return. - Interest rate payments are on the lower side Admittedly, this is a very small list, however, these types of investments are growing more numerous and meaningful. The reality is the existing options aren’t numerous enough to service every client that has a need for fixed income exposure. I challenge advisors to explore innovative options for fixed income exposure outside of sovereign debt, as that is most certainly a road to nowhere. It is my wholehearted belief and call to action that we need more options to help clients across the risk and capital allocation spectrum access a sound money standard. Additional Resources - [River: The future of saving is here: Earn 3.8% on cash. Paid in Bitcoin.](http://bitcoin%20and%20fixed%20ihttps//blog.river.com/bitcoin-interest-on-cash/ncome) - [Onramp: Bitcoin, The Emergent Asset Class](https://onrampbitcoin.docsend.com/view/j4wje7kgvw357tt9) - [MicroStrategy: MicroStrategy Announces Pricing of Offering of Convertible Senior Notes](https://www.microstrategy.com/press/microstrategy-announces-pricing-of-offering-of-convertible-senior-notes_09-18-2024) --- *Bitcoin and Fixed Income was Written By Wyatt O’Rourke. If you enjoyed this article then support his writing, directly, by donating to his lightning wallet: ultrahusky3@primal.net*

@ 0d532801:197a0c30

 ߹ İnsan, bilinçli olarak günah işlediğinde, aslında birçok içsel ve dışsal faktörün etkisi altındadır. Bu faktörlerin başında bireysel arzular, toplumsal baskılar, zayıflıklar, bilinçaltı dürtüler ve bazen de cehalet gelir. İnsan, sadece dürtülerine göre hareket etmeyi tercih edebilir ya da kısa vadeli tatmin için uzun vadeli sonuçları göz ardı edebilir. Peki, bir insan neden bilerek günah işler? Bu sorunun cevabı, sadece dini ya da etik perspektiflerle değil, psikolojik, toplumsal ve kültürel açılardan da ele alınmalıdır. 1. Bireysel Arzular ve Dürtüler ߹ İnsanın doğasında, zaman zaman nefsini tatmin etme isteği vardır. Bu istek, bazen mantık ve vicdanın önüne geçebilir. İnsan, kısa süreli hazları arzularken, bunun gelecekteki olumsuz sonuçlarını göz ardı edebilir. Örneğin, hırsızlık yapan bir kişi, anlık bir mal edinme arzusuyla hareket edebilir, ancak bu davranışın ona ve çevresine getireceği zararları düşünmektense, elde edeceği çıkarı daha önemli görür. Benzer şekilde, yalan söylemek ya da başkalarını manipüle etmek de kısa vadeli çıkarlar ve bireysel egolar tarafından beslenen bir davranış biçimidir. 2. Toplumsal Baskılar ve Çevresel Faktörler ߹ İnsan, toplumsal bir varlık olarak çevresinden büyük ölçüde etkilenir. Toplumun normları, kültürel değerleri, arkadaş gruplarının etkisi ve ailevi dinamikler, bireyin davranışlarını şekillendirir. Bazı durumlarda, kişi bilerek yanlış bir davranış sergileyebilir çünkü çevresindeki kişiler böyle yapmaktadır ve kendini dışlanmış hissetmemek için buna ayak uydurur. Örneğin, bir grup insanın başka birine kötü davranması ya da yalan söylemesi, bir bireyi de benzer şekilde davranmaya itebilir. Bu durum, bireyin vicdanı ve doğru-yanlış algısı ile çatışan bir durumdur. 3. Zayıflıklar ve İnsan Doğası ߹ Herkesin zayıf anları vardır. Zihinsel ve duygusal olarak zorlandığı anlarda insanlar bazen bilerek yanlış bir şey yapabilir. İnsan, öfke, stres, yalnızlık ya da korku gibi duygusal durumlar içinde daha kolay günah işleyebilir. Duygusal karmaşa, sağlıklı düşünme yeteneğini zayıflatabilir ve kişi, anlık bir rahatlama ya da kaçış için yanlış bir yolu seçebilir. Örneğin, öfkelenen bir kişi, karşısındaki kişiye hakaret etmek ya da ona zarar vermek isteyebilir. Bu tür eylemler, kişinin o anki duygusal durumunun bir sonucu olarak ortaya çıkar. 4. Cehalet ve Yanlış İnançlar ߹ Bazen insanlar, neyin doğru neyin yanlış olduğuna dair doğru bir bilgiye sahip olmayabilirler. Bilgi eksikliği ya da yanlış inanışlar, bireyin günah işlemesine neden olabilir. İnsan, kötü bir davranışın ne kadar zarar verebileceğini ya da o davranışın ahlaki ve dini boyutlarını tam anlamayabilir. Özellikle bazı insanlar, içinde bulundukları ortamın, alışkanlıkların ya da eğitim seviyelerinin etkisiyle, doğruyu ve yanlışı tam kavrayamayabilirler. Bu durum da, onların bilerek ve isteyerek günah işlemesine yol açabilir. 5. İçsel Çatışmalar ve Vicdanın Bastırılması ߹ İnsan, bazen kendi içsel çatışmalarına dayanamayabilir. Vicdanı, doğruyu yapması yönünde onu uyarırken, içindeki kötü duygular ya da arzular ona engel olamayacak kadar güçlü olabilir. İnsanın kendisini haklı çıkarma çabası da burada devreye girebilir. Bir insan, kendini iyi bir insan olarak görmek isterken, bazen içindeki kötü dürtüleri bastırmak yerine, bunları haklı göstermek için kendine çeşitli gerekçeler uydurur. Örneğin, bir kişi başkasının hakkını yemek için kendini “bunu herkes yapıyor” ya da “benim de buna ihtiyacım var” gibi bahanelerle kandırabilir. 6. Dini ve Ahlaki Değerlerin Zayıflaması ߹ Bir insanın dini inançları ya da ahlaki değerleri, doğru-yanlış algısını büyük ölçüde şekillendirir. Ancak zamanla, bireylerin inançları ya da değerleri zayıflayabilir. Toplumda sekülerleşmenin arttığı bir dönemde, dini ve ahlaki öğretiler zamanla insanların gözünde daha az değerli hâle gelebilir. Bu durumda, insanlar günah işleme konusunda daha az vicdan azabı duyarlar, çünkü dini ya da ahlaki sonuçları görmezden gelmeyi tercih edebilirler. ߹ _**Sonuç olarak, insanın bilerek günah işlemesi, karmaşık bir durumdur ve çok çeşitli faktörlere dayanır. İnsanlar bazen içsel isteklerine, bazen dışsal baskılara, bazen de bilinçli ya da bilinçsiz olarak zayıf noktalarına dayanarak yanlışlar yapabilirler. Önemli olan, insanın yaptığı hataları fark etmesi, bu hatalardan ders alması ve doğru yolu bulmaya çaba göstermesidir. Kişi, hatalarını kabul ederek ve daha bilinçli bir şekilde hareket ederek hem kendisine hem de çevresine faydalı bir yaşam sürebilir.**_

@ 58ff18bb:081df0c0

 * Stop worrying too much about what may come in the future or what has happened in the past. * Our seconds tick by too fast to waste on things you can't change or control. * Just let it be. Take a deep breath, be in the moment, and just be thankful for where you're at right now. * The present is all we really have. Forget about the 'what ifs' and the 'should/could-haves.' Accept what was and what is. * Remember, you've got one life, one opportunity to live. * Don't let it slip away while you focus on the wrong things. Breathe in. Breathe out. Make every moment count. ------ **Thanks for Reading**

@ 58ff18bb:081df0c0

 * Don't change yourself just to make someone happy unless that someone is “you”. * There are no missed opportunities; everything you missed wasn't yours. * Trust yourself. You know more than you think you do. * Learn to see people for what they are, not what you want them to be. * The longer you live in the past, the less future you have to enjoy. * Better to admit you walked through the wrong door than spend your life in the wrong room. * Just because you miss someone doesn't mean you need them back in your life. * Missing is a part of getting over. * Don't worry about those who talk behind your back—they're behind you for a reason. * The bigger the ambition, the slower you need to go. * Never brag about your progress or tell people your plans, as your friends today may become your worst enemies tomorrow. * Make sure the choices you make are worth the losses you'll take. * Never sacrifice your progress for a friend; they might not do the same if the tables were turned. * Sometimes you just need to be a bit selfish—put yourself first and think about what is best for you. * It's okay if you don't know how to move on; start with something easier, like not going back. * If you don't sacrifice for what you want, what you want becomes the sacrifice. * Close the window that hurts you, no matter how beautiful the view is. * Sometimes you have to let go of people who keep reminding you of who you used to be. * Forgive yourself for accepting less than you deserved, but don't do it again. * If you're not willing to walk alone, you'll never lead your own path. * Accept the things you cannot change, and change the things you cannot accept. [Type “I Want More” in the comments if you want the entire book of Life Lessons and Quotes.](https://therulesoflife.quora.com/Dont-Expect-Your-Life-To-Truly-Change-Until-You-Embrace-These-Life-Lessons?ch=10&oid=197279401&share=eb22df64&srid=39sYIN&target_type=post)