Claude Code creator:
"100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too.
The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops"
in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year.
Worth more than a $500 vibe-coding course.
Anthropic pays $750,000+ a year for engineers who can build LLMs from scratch.
Not how to prompt them.
Not how to fine-tune them.
Not how to build RAG pipelines.
But how to build them from scratch.
This 2-hour Stanford lecture teaches you everything.
Scaling laws.
Data collection.
Architecture design.
Post-training alignment.
Free. From Stanford.
Watch first. Then read this.
The lecture is the theory.
And this article shows you how to actually build it (with code) ↓
📝これは激アツ!NotebookLMが「エージェント化」した
Gemini 3.5+Antigravity搭載+クラウドPC内蔵で
「調べて→分析して→資料にして」が全部ひとつのツールで完結する
① AIの思考プロセスが見える
② 100以上のソフトウェアスキルが使える
③ PDF・Excel・PowerPoint・グラフまで出力可能
④ ゼロから「何を調べればいいか」も一緒に考えてくれる
「資料を渡して質問する」ツールから
「一緒にリサーチして成果物まで作るパートナー」に進化した。
スレッドで全機能を深掘りします↓🧵
Gbrain by @garrytan is so good, I've now moved by brain onto a dedicated server, that Codex, Claude, OpenClaw, and Hermes all connect to.
My agent conversations (and planning in particular) are so much more enriched and opinionated.
Every experiment I run in Codex uploads a summary and conclusion, so our mutual thinking continues to compound.
https://t.co/yb0kPqMQRT
Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.
Bookmark & watch this today before someone takes it down and read this article below
Anthropic's main manager:
"Nobody types prompts from scratch. The commands should be live in the project."
In 26 minutes, she walks through how Anthropic runs Claude Code, including the command library every new dev inherits on day one.
Watch the full talk, then save the config below👇
Andrej Karpathy spent 2h showing how he actually uses AI day to day
he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching
and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker
watch what's actually happening the entire time:
> he describes the task in normal words
> it goes off and does the work
> he glances at the result and nudges it with one more sentence
that's the whole skill, and you've had it since you learned to talk
the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act
check his work, then build the version that keeps working when you stop