San

Building AGI

We must:
- be Type 1 Civilization in Kardashev Scale by this Century
- explore universe, Space
- work with AI
- push humanity forward

[San @realsanb]

Think until your brain hurts.

[Entrepreneurs on X @entreprneursonx]

Elon Musk: Think until your brain hurts:

[San @realsanb]

Yep

[NeetCode @neetcode1]

This takes like 2 min to read and is the simplest explanation of the “loops” everyone is talking about.

Why can’t we all just speak in plain English instead of trying to make every single ai coding concept seem bigger than life?

I think we know why but still

[San @realsanb]

I will be having my close eye on it

[Heisted @Heistedxyz]

if you’re seeing this, you are extremely early.

something mega viral is coming soon.

any interaction will be considered for priority access.

[DogeDesigner @cb_doge]

💯

[San @realsanb]

Man I this could be the new magic.

[th0rgal @Th0rgal_]

Just reverse engineered my Oura Ring 5 so I can control my computer like a wizzard. @ouraring please send my love to whoever buried a feature to stream live accelerometer data

[alijan 🌎 @alijangm]

https://t.co/tzmFHVtpJB

[San @realsanb]

Yes, it's hard to go from 0 to 1 but once you ho from 1 to 2 then it's just continuation.

[Patrick C Toulme @PatrickToulme]

There’s a big misconception about how GLM 5.2 was trained. Yes, they distilled Claude and GPT 5.5 — but distillation is not how they matched Opus quality. Distillation only fixed the cold start problem in RL.

RLing an agentic coding model isn’t rocket science. In simplified terms:

1. RL needs trajectories — rollouts where the model actually completed a task in some env

2. No successful trajectory on a task = zero gradient = you can’t RL it. This is the cold start problem

3. Distillation solves it. You seed your model with knowledge from a smarter one (Claude, GPT) on tasks it can’t do yet

4. Now it produces positive trajectories on those tasks

5. RL on those trajectories and hill climb agentic coding

6. At that point you no longer need to distill and can solely hill climb RL to better models

This is an interesting curve. I’d argue it’s harder to get to Opus 4.8 from scratch than to go from Opus 4.8 → Fable/Mythos tier.

GLM 5.2 is already producing positive trajectories, so they have plenty to RL on — they’ll keep climbing to Mythos quality without distilling any further. They no longer need American models.

[Anatoli Kopadze @AnatoliKopadze]

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents

40 minutes from the team behind Claude Code

they used three agents: one to plan, one to build, one to judge, cycling until the app actually works

the winners won't have the smartest model, they'll have the best loop

watch it, then read the full guide on how to actually use loops below

[Kekius @kekius9]

Elon Musk: I do crazy things, care about the truth, and think everyone else is a bit slow.

Bro really summarized my entire existence in one tweet.

[Adams @Adams_Tech_AI]

Do not fear losing. “You will lose,” Musk says. “It will hurt the first fifty times. When you get used to losing, you will play each game with less emotion.” You will be more fearless and take more risks.

—Elon Musk

[Alex Ibragimov @alexwtlf]

$0 marketing budget.

you need 100 paying users.

what's your move?

[Bruce Guai @BruceGuai]

如何建立自己的第一个0人Agent公司并成功赚钱？这应该是中文圈最有价值的免费教程案例。

这是 Matrix 内测时期第一个获得百万曝光的公司。十分感谢 MSB 在我们内测时期一直给予反馈，他的账户在Youtube，小红书，推特等地方持续运营短剧，短剧从剧本到分镜，图片，视频，配音，到最后发布，数据复盘全部由matrix自主完成。这也能很好回答，为什么想创建0人、1人Agent公司得用matrix，因为这里，除了build一个基础的产品之外，更关键的长期交付，运营，维护，复盘全链路可以帮你完成。

账户数据公开可见，就用了十多天，离创作者收益肯定不远了。

现在matrix公测期间，也有非常多免费token，评论区可以找我领测试额度。直接访问 https://t.co/j07AqNkM6d 。后面请MSB来给大家开开讲座如何用matrix赚钱。

[San @realsanb]

I got sick of AI forgetting when coding, so I made it never forget the context & made it free.

Works for Claude + Codex. MIT.
https://t.co/rDONMqTWs0

[Goodfire @GoodfireAI]

Stories have shapes: a comedy rises toward joy; a tragedy falls into loss.

Inside an LLM, that’s visible more literally: as an LLM reads a story, its internal activations trace a wandering path that reflects the model’s sense of what kind of story it is reading. (1/5)

[Tibo @tibo_maker]

I grew to $1m MRR without inventing a single original idea

Revid: AI video tools exist
Outrank: SEO tools exist
SuperX: X growth tools exist

every product I built competes in a market that was already crowded
and that's the whole strategy

most new founders hunt for new, untapped markets, but I do the opposite

I go where competition is brutal, because crowded means the demand is already proven

but copying alone gets you nowhere - the real game is knowing which corner of the market to take 👀

tomorrow's newsletter: why copying is smarter than innovating, the man who had 8/10 hit products, and the 3 step framework for finding your corner of business

subscribe below👇

[San @realsanb]

Interesting, just build a memory layer for claude and codex as side project but main project is accelerate research from 100 years to 1 day. would love to connect

[Adam @adamcreates_]

looking for founders building:

> agent frameworks & harnesses
> agentic payment solutions
> multiplayer agent tools
> data collection plays
> post-training / fine-tuning apps

will help you raise $25K to $50K in under a day and reach 10K+ eyeballs.

ping me.

[Adam @adamcreates_]

looking for founders building:

> agent frameworks & harnesses
> agentic payment solutions
> multiplayer agent tools
> data collection plays
> post-training / fine-tuning apps

will help you raise $25K to $50K in under a day and reach 10K+ eyeballs.

ping me.

[Dustin @r0ck3t23]

Intelligence was the one thing that never scaled.

We scaled everything else. Steel. Energy. Compute. The one resource that built all of it never left the skull.

Musk: “People thought defeating Go was either never or 20 years away.”

Twelve months later it was over.

Musk: “Now that same AlphaGo system can defeat the top 50 players simultaneously with 0% chance of them winning. And that’s one year later.”

Fifty lifetimes of mastery against a system that does not know it is playing a game.

Zero percent chance.

That was not a competition. That was a preview.

Musk: “The degrees of freedom to which artificial intelligence is able to apply itself are really increasing by 10 orders of magnitude a year.”

Ten billion times. Every twelve months.

No brain alive can visualize that number. By design.

Every hard problem that ever defeated us did it for the same reason. Not complexity. Scarcity. The only mind capable of solving it was biological and there was never enough of it.

Cancer. Fusion. Climate. The physics we cannot even see yet.

Not waiting on more data. Waiting on something that can think at a scale biology never allowed.

That just arrived.

Most people hear this and reduce it to a question about their paycheck.

They are watching the single largest expansion of capability in the history of life on this planet and worrying about a job title.

For ten thousand years intelligence had one speed. One brain. One lifetime. Every civilization on earth throttled by the same biological ceiling.

That ceiling just shattered.

We are the only species that ever hit its own limit and built what breaks through it.

That is not an ending. That is the point of everything we ever built.

[Shiv @shivsakhuja]

Today we're launching Goose Ads in Claude.

This is a skill /goose-ads that lets anyone make high-performing ad creatives directly in Claude, Claude Code, Cowork, or Codex.

Here's how it works:

1. Install the skill: npx gooseworks install --all

2. Run this prompt:
/goose-ads create ads for my brand <brand-website>

3. (Optional) Pick templates you like on the platform

The skill finds top-performing ads that companies are already spending $ on and generates creatives for your brand.

It also ensures that generated creatives are accurate to your brand's messaging, logo, assets, etc.

It's that easy.

But this is just the start.

We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more.

Comment Goose and I'll DM you the full open-source skill library.

[ClaudeDevs @ClaudeDevs]

The Claude Code team has been shipping with Claude Tag internally all year.

It now writes 65% of our product team's code, including most of what built Claude Tag itself.

Here are a few ways we use it every day: 🧵

https://t.co/7PLrW06TvH

[San @realsanb]

Very short-term thinking.
It's been only less than a month, and you judge Elon with this small fluctuation.

Guess you are not that smart.

[Drunk Dividends 🥂 Small Biz & Finance @DrunkDividends]

I HATE YOU ELON MUSK I HATE YOU SPACEX I HATE YOU I HATE YOU I HATE YOO I HATE
EVERYONE SAID IT WAS GOING TO THE MOON SO I PUT 18K INTO CALLS
THAT WAS MY LIFE SAVINGS AND THE MONEY I WAS GOING TO USE FOR COLLEGE I DONT KNOW WHATCTO DO ANYMORE