HoHo

👨‍✈️ Airline pilot (B772/A321) 🌍 Exploring the world, spotting trends 💻 Flying high, coding low 📚 Economics & Programming on the ground

[Matt Canham @matthewcanham]

Jev is a new type of model that is optimized for making decisions, not generating text

This is the best article I’ve found so far breaking down how it works - required weekend reading imo

[Phosphen @phosphenq]

Anthropic just dropped a 3-hour course on how to actually master Claude Code, taught by the engineer who built it:

00:07 – everything new in Claude Code
24:39 – Boris Cherny builds a full app live
55:38 – the complete prompting playbook
1:29:07 – the "thinking" lever almost everyone misses
1:52:58 – how to pick the right model for the job
2:24:22 – how Anthropic itself codes with Claude

This 3-hour watch will replace 10 paid Claude Code courses on the internet.

Watch it now, then read how to build an AI that codes while you sleep, in the article below.

[Dan McAteer @daniel_mac8]

Fable 5 returns today. That makes this pattern more relevant.

The pattern is:

> Fable 5 as advisor
> Sonnet 5 as efficient implementer

Another option is to use GPT-5.5 as implementer in Claude Code with the Codex plugin. You can use it with your ChatGPT sub.

Then, of course, we know GPT-5.6 comes soon too, and you’ll be able to add it into this pattern.

[Claude @claudeai]

Also new in Claude Code: dynamic workflows (research preview).

For the hardest tasks, Claude makes a plan, runs hundreds of parallel subagents, and verifies its work before reporting back. Think a migration touching hundreds of files.

Read more: https://t.co/7gt06kGkDN

[AI Will @FinanceYF5]

Jane Street 以年薪 $22 万–$60 万聘请了这位初级员工，因为他利用 AI 分析数万亿条数据。

在这场 1 小时的讲座中——他展示了如何借助自己的机器研究数万亿的数据点。

收藏并观看它，而不是看 Netflix，来学习如何做到同样的事情

[Skills Studio @sumika45379]

【海外で話題】
Claude Codeにエグいスキルでてた、、‼️😳

コンテキスト理解が71.5倍も
効率化するんだけど
「/graphify」ってスキルでめちゃバズってる‼️

何がすごいかっていうと👇
・コードの構造・依存関係を全部マッピング
・AIコールなしでローカル処理
・25言語のコードに対応
・PDF、画像、動画、音声も解析できる

つまりClaude Codeに
「プロジェクトの全体像」を
一発で理解させられるってこと。

毎回ファイルを1個ずつ読ませて
トークン消費してた人は
これ入れるだけでコスト激減する🔥✨

[おさぼり @1osabori]

Claude Codeを24時間勝手に動かし続ける裏技、Anthropic公式が普通にバラしてて草www
しかもAIエージェントの作り方までぶっちゃけてるw

毎回途中で止まって再開してる人、これ見たら寝てる間に作業終わるかも
日本語字幕もつけたから時間あるとき読んで⤵︎

寝てる間にAIに稼がせたい人はブクマ推奨

[YokerAI @IATheYoker]

Google acaba de hacer algo que Claude Design no esperaba.
Y lo hizo gratis, en abierto, para todo el mundo.

Se llama DESIGN.md.

Pero primero hay que hablar de lo que provocó esto.

Anthropic lanzó Claude Design con límites de uso ridículos.
Cerrado. Caro. Controlado.
La herramienta de diseño con IA más potente del momento, pero con la llave en su bolsillo.

Google vio la jugada.

Y respondió de la única forma que duele de verdad:

Abrió el código. Gratis. Para todo el mundo.

Se llama DESIGN.md.
Un estándar abierto que cualquier IA puede leer.
En cualquier herramienta. En cualquier plataforma.

El problema que resuelve es real:

Los agentes de IA no tienen ni idea de tu sistema de diseño.
No saben qué significa tu color primario.
No saben si ese botón es accesible.
No saben para qué sirve cada componente.

Cada vez que usabas IA para diseñar, empezabas de cero.

DESIGN.md lo resuelve con un solo archivo.

Tres cosas concretas que hace:

1️⃣ Tokens de diseño
Tus colores, tipografías y espaciados con descripciones en lenguaje natural.
La IA entiende para qué sirve cada valor, no solo cuál es.

2️⃣ Validación de accesibilidad
El agente comprueba sus decisiones contra las reglas WCAG.
Sin que tú tengas que revisar cada detalle manualmente.

3️⃣ Portabilidad total
Exportas e importas tus reglas de un proyecto a otro.
Un archivo. Cualquier herramienta. Cualquier plataforma.

Incluidas las de Anthropic.

Eso es lo que más duele en ese lado de la mesa.

Anthropic construyó muros.
Google tiró la pared entera.

El repositorio está en GitHub: https://t.co/UJ5RVJPvwJ

Esto es lo que pasa cuando los grandes se pelean.
Nosotros ganamos.

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic's own team just showed how to actually use Claude Code properly.

30 minutes. free. the person who created Claude Code.

watch the workshop. bookmark it.

worth more than every $500 course you almost bought.

you've been using Claude without knowing 40 of its commands.

Then read the guide below.

[Chris Laub @ChrisLaubAI]

A Rust dev just killed Headless Chrome.

It's called Obscura. The open-source headless browser purpose-built for AI agents and scrapers at scale.

Chrome vs Obscura:

- Memory: 200MB+ → 30MB
- Binary: 300MB+ → 70MB
- Page load: 500ms → 85ms
- Startup: 2s → Instant
- Anti-detect: None → Built-in

Single binary. No Node, no Chrome, no dependencies.

Stealth mode is brutal:

→ Per-session fingerprint randomization (GPU, canvas, audio, battery)
→ 3,520 tracker domains blocked by default
→ navigator.webdriver masked to match real Chrome
→ Native function masking so detectors can't sniff it out

Drop-in replacement for Puppeteer and Playwright over CDP. Zero code changes.

If you run agents or serious scraping at scale, this repo prints money.

100% Opensource.

[Sick @sickdotdev]

If you want to build a startup:

- Claude = coding. ($20/mo)
- Supabase = backend. (Free)
- Vercel = deploying. (Free)
- Namecheap = domain. ($12/yr)
- Stripe = payments. (2.9%/transaction)
- GitHub = version control. (Free)
- Resend = emails. (Free)
- Clerk = auth. (Free)
- Cloudflare = DNS. (Free)
- PostHog = analytics. (Free)
- Sentry = error tracking. (Free)
- Upstash = Redis. (Free)
- Pinecone = vector DB. (Free)

Total monthly cost to run a startup: ~$21

Still any excuses?

[Richard @qloog]

#每日推荐 Claude Code Skills 合集， 也适用于 OpenClaw 和 Hermes

1）superpowers（16 万星）
作者 Jesse Vincent，适合所有人，让 Claude 做事更严谨。
https://t.co/Kv8FlJqwn6

2）anthropics/skills（12 万星）
Anthropic 官方，适合所有人，文件处理（Word、PPT、Excel、PDF）。
https://t.co/qyuSCoViEu

3）gstack（7.7 万星）
作者 Garry Tan（YC CEO），适合一人公司，用来模拟团队角色进行审查。
https://t.co/mzzz1CHfqj

4）obsidian-skills（2.5 万星）
作者 Steph Ango（Obsidian CEO），适合 Obsidian 用户。
https://t.co/Xt8oOjr1xa

5）claude-code-templates（2.5 万星）
作者 Daniel Ávila，适合 skill 新手的大型工具集。
https://t.co/o1QIwxWj9U

6）marketingskills（2.2 万星）
作者 Corey Haines，适合营销、副业和一人公司。
https://t.co/WeTM3wNOBT

7）claude-scientific-skills（1.9 万星）
作者 K-Dense AI，适合科研、论文写作和深度内容创作。
https://t.co/byqnzWaMdO

8）compound-engineering-plugin（1.5 万星）
作者 https://t.co/oDyokNmTd0 团队，适合长期内容或产品运营。
https://t.co/zjLnKDzrMT

[Atal @ZabihullahAtal]

Stanford just released a 1.5-hour lecture on “LLM Architecture.”

This is the exact thing systems engineers at Anthropic and OpenAI require to understand at a deep level.

Give it some time.

This might be the highest-ROI learning you do this month.

[Evan Luthra @EvanLuthra]

Anthropic pays engineers $750,000+ a year to understand how LLMs work.

Stanford just put a 2 hour lecture that covers 80% of it for FREE.

Bookmark this. Give it 2 hours today.

It might be the highest ROI thing you do this month:

[Ole Lehmann @itsolelehmann]

find his github repo here

https://t.co/Zv5C1mXput

[Rishabh @Rixhabh__]

Instead of watching a 2-hour movie, Clawdbot FULL COURSE 3 HOURS (Build & Automate Anything)

[James Kim @King_James_Kim]

대한민국에서 평생 돈 마를 일 없는 사업 TOP 5

1. 남자의 성욕: 데이팅 앱, 성인용품 등 본능은 불황을 모른다.

2. 여자의 미(美): 죽을 때까지 예뻐지고 싶은 욕구는 지갑을 열게 한다.

3. 자녀 사교육: 내 아이만큼은 성공시키겠다는 부모의 집념은 무적이다.

4. 노인 건강: 죽음 앞에서는 그 어떤 비용도 아깝지 않은 법이다.

5. 빈자의 조급함: 부의 지름길을 찾는 이들의 열망이 교육 시장을 폭발시킨다.

6. 아이러니: 결국 이 모든 것을 가르치는 '강의팔이'가 제일 부자가 된다.

7. 결론: 기술 이전에 '사람의 결핍'이 어디에 있는지부터 찾아라.

[vitalik.eth @VitalikButerin]

Now that ZKEVMs are at alpha stage (production-quality performance, remaining work is safety) and PeerDAS is live on mainnet, it's time to talk more about what this combination means for Ethereum.

These are not minor improvements; they are shifting Ethereum into being a fundamentally new and more powerful kind of decentralized network.

To see why, let's look at the two major types of p2p network so far:

BitTorrent (2000): huge total bandwidth, highly decentralized, no consensus

Bitcoin (2009): highly decentralized, consensus, but low bandwidth - because it’s not “distributed” in the sense of work being split up, it’s *replicated*

Now, Ethereum with PeerDAS (2025) and ZK-EVMs (expect small portions of the network using it in 2026), we get: decentralized, consensus and high bandwidth

The trilemma has been solved - not on paper, but with live running code, of which one half (data availability sampling) is *on mainnet today*, and the other half (ZK-EVMs) is *production-quality on performance today* - safety is what remains.

This was a 10-year journey (see the first commit of my original post on DAS here: https://t.co/Fa0jKFgObW , and ZK-EVM attempts started in ~2020), but it's finally here.

Over the next ~4 years, expect to see the full extent of this vision roll out:

* In 2026, large non-ZKEVM-dependent gas limit increases due to BALs and ePBS, and we'll see the first opportunities to run a ZKEVM node
* In 2026-28, gas repricings, changes to state structure, exec payload going into blobs, and other adjustments to make higher gas limits safe
* In 2027-30, large further gas limit increases, as ZKEVM becomes the primary way to validate blocks on the network

A third piece of this is distributed block building.

A long-term ideal holy grail is to get to a future where the full block is *never* constituted in one single place. This will not be necessary for a long time, but IMO it is worth striving for us at least have the capability to do that.

Even before that point, we want the meaningful authority in block building to be as distributed as possible. This can be done either in-protocol (eg. maybe we figure out how to expand FOCIL to make it a primary channel for txs), or out-of-protocol with distributed builder marketplaces. This reduces risk of centralized interference with real-time transaction inclusion, AND it creates a better environment for geographical fairness.

Onward.

[Murphy @Murphychen888]

在ETH的价格分布上，成本低于$400的远古筹码是不是会长期锁仓，不实际进入流通？

这是一位粉丝后台私���我的问题。我想，对于当前持有ETH，或有计划抄底ETH的小伙伴应该都会比较关注这一点，因此值得展开聊聊，并分享给大家。

首先，答案是“否定”的！我们来看几组数据：

目前持有5-7年的ETH平均换手成本在$378；因此，我们可以单独筛选出持有5年以上ETH投资者在本轮周期的行为表现。

（图1）

如图1所示，在2024-2025年中每当ETH价格突破$4000大关时，都会有大量的远古筹码进行利润套现。

比如，24年3月持有5年以上的筹码，单日实现利润6亿美元；6月更是有高达10亿美元的天量级利润出逃。25年9月持有7年以上，10月持有10年以上的筹码，都是单日套现5亿美元以上。

然而，当这些远古筹码获利了结后，ETH价格全都无一例外的阶段性见顶！我们甚至有理由认为，正是他们的抛售让市场承压，使得ETH价格无法再更上一步。

（图2）

从图2可以看到，自从24年5月ETH财库公司们开始出手大量收集筹码后，持有5年以上ETH的供应量曲线开始逐渐下降。但即便如此，时至今日仍然还留有2010w枚的存量。

（图3）

目前一共有25家传统企业加入了战略储备ETH的队伍；截止到2025.12.30，他们的总余额为603.5w枚ETH。其中BitMine持有406w枚，是当之无愧的龙头！其次是SharpLink持有85.9w枚和The Ether Machine的49.6w枚。

（图4）

另外，ETH现货ETF目前的余额是605.2w枚。其中贝莱德的347w枚，占据了一大半，而其他几家相对来说就不那么给力了。

也就是说，ETF + DAT公司在本轮周期一共承接了市场上1205w枚的抛压，如果没有他们，ETH的价格表现一定会��加惨淡。

但是很显然，这些持有时间在5年以上，成本在$400以下的远古筹码当前的“活性”仍然很高。尤其当价格接近或者高于$4000时，对他们来说已经有了10倍的利润，具备足够的卖出动力。（换成是你，你会不会卖？）

目前这类筹码还有2000w枚，占总流通的17%；同样的，BTC成本在1000美元以下的筹码也有379w枚，占总流通的18.9%；但与ETH不同的是，这其中有100w+是中本聪的，剩下的大部分已经丢失，加上社区共识更高，因此这些远古BTC的“筹码活性”要显著低于ETH。

这也是为什么Tom Lee一直“鼓吹”ETH年底将上1w美元的原因。他想营造一种氛围，或者传递潜在信心：“我有钱，会拉盘，你们不要卖！”

所以，我个人认为在现有ETF + DAT的配置基础上，如果可以再增加一些新的���事和创新，争取将剩下的2000w枚远古筹码再消耗掉一半，那么ETH的价格将有望迎来质的飞跃！

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[EliZ @eliz883]

The best indicator you will ever find is not on TradingView.
It has no settings, no parameters, and does not need to be optimised.

It is your mind.

Because you can have the best strategy in the world, the perfect levels, the right confluences... but if you are not stable inside, you will ruin everything anyway.

It is not the market that screws you over.
It's you, when you get caught up in anxiety, haste, the desire to recover, the euphoria after a win.

The chart doesn't force you to click.
It doesn't force you to increase your size.
It doesn't force you to move your stop.
Those are your choices.

And that's where you see the difference between those who survive over time and those who burn through everything in a few months.

When you learn to manage yourself, trading becomes strangely simple.
Not easy — but simple.

You know when to enter.
You know when to stay put.
You know when enough is enough.

And that's why, in the end, the real edge is not an indicator, it's not a pattern, it's not a secret strategy.

It's your ability to stay clear-headed when everything around you is noise.