mindgitrwx @mindgitrwx
I use this twitter account as an index table Joined December 2017-
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I'm excited that, this year, interpretability finally works well enough to be practically useful in the real world! We found that, with enough effort into dataset construction, simple linear probes are cheap, real-time, token level hallucination detectors and beat baselines
I'm excited that, this year, interpretability finally works well enough to be practically useful in the real world! We found that, with enough effort into dataset construction, simple linear probes are cheap, real-time, token level hallucination detectors and beat baselines
Updated & turned my Big LLM Architecture Comparison article into a narrated video lecture. The 11 LLM architectures covered in this video: 1. DeepSeek V3/R1 2. OLMo 2 3. Gemma 3 4. Mistral Small 3.1 5. Llama 4 6. Qwen3 7. SmolLM3 8. Kimi 2 9. GPT-OSS 10. Grok 2.5 11. GLM-4.5
New Google AI paper shows LLMs + tree search can achieve SOTA results on scientific tasks as long as they're measurable: My favorite part of the paper is this prompt [verbatim]: "PLEASE CREATE AN ALGORITHM THAT USES THE BEST PARTS OF BOTH STRATEGIES TO CREATE A HYBRID STRATEGY…
A big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.
A big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.
Yes. Writing is not a second thing that happens after thinking. The act of writing is an act of thinking. Writing *is* thinking. Students, academics, and anyone else who outsources their writing to LLMs will find their screens full of words and their minds emptied of thought.
Wrote some notes on Toad, Will's new not-yet-open-source-but-soon terminal coding agent built on Textual He's charging companies $5,000 for early access to the preview before it goes open source, I'd love to see that model work here! simonwillison.net/2025/Jul/23/an…
Wrote some notes on Toad, Will's new not-yet-open-source-but-soon terminal coding agent built on Textual He's charging companies $5,000 for early access to the preview before it goes open source, I'd love to see that model work here! simonwillison.net/2025/Jul/23/an…
왜 사실만으로는 생각이 바뀌지 않는가 — "구조가 답이다" - 갈릴레오의 지동설 논쟁 사례처럼, 사회적 권력과 신념 체계는 단순한 '사실'만으로 바뀌지 않음 - 교회·권력·이념은 성경, 우주관, 예술, 사회 규범 등 서사와 구조적 연결을 통해 현실을 설명하… news.hada.io/topic?id=22125
genuinely the coolest blog ever: ampcode.com/how-to-build-a… sending this to an agent to make your first agent is nuts
"How Many Instructions Can LLMs Follow at Once?" In this paper they found that leading LLMs can satisfy only about 68% of 500 concurrent instructions, showing a bias toward earlier instructions.
뇌는 주어진 정보로 다음 순간을 끊임없이 예측하고 있고, 그것이 틀렸을 때 강력한 학습을 일으키는 도파민 신호가 나오고, 다음에는 맞출 수 있게 된다. "오류 기반 학습"(error-based learning)이 효율적인 이유. pretest, 생산적 실패, 오답분석. LLM 쓸 때도 먼저 시도해야 하는 이유! #학습과학
그거 구글 치면/챗지피티한테 물어보면 다 나오는데, 왜 굳이 외워야 하냐? 지식이 많아질수록 스키마 형태로 통합해서 덩어리로 인식해야 작업기억에서 하나의 단위로 다룰 수가 있음. 하나하나 찾아보고 확인한 낱개 단위로는 작업기억 용량이 딸려 크고 복잡한 사고를 할 수가 없음
그거 구글 치면/챗지피티한테 물어보면 다 나오는데, 왜 굳이 외워야 하냐? 지식이 많아질수록 스키마 형태로 통합해서 덩어리로 인식해야 작업기억에서 하나의 단위로 다룰 수가 있음. 하나하나 찾아보고 확인한 낱개 단위로는 작업기억 용량이 딸려 크고 복잡한 사고를 할 수가 없음
I figured out how to add the official Playwright browser automation MCP to Claude Code. Run this before you start "claude": claude mcp add playwright npx '@playwright/mcp@latest' Now Claude Code can use a Chrome browser directly! Here's my TIL: til.simonwillison.net/claude-code/pl…
I'm very excited about our vision for "mech interp" of CoT: Study reasoning steps and their connections - analogous to activations Don't just read it: study attn, causally intervene, and, crucially, resampling - study the distn over CoTs, not just this one There's lots to do!
I'm very excited about our vision for "mech interp" of CoT: Study reasoning steps and their connections - analogous to activations Don't just read it: study attn, causally intervene, and, crucially, resampling - study the distn over CoTs, not just this one There's lots to do! https://t.co/JvPN1VNult
New paper: What happens when an LLM reasons? We created methods to interpret reasoning steps & their connections: resampling CoT, attention analysis, & suppressing attention We discover thought anchors: key steps shaping everything else. Check our tool & unpack CoT yourself 🧵
+1 for "context engineering" over "prompt engineering". People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window…
+1 for "context engineering" over "prompt engineering". People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window…
Introducing your arXiv Research Agent A personal research assistant with access to arXiv + bioRxiv + medRxiv + Semantic Scholar. Upload drafts, conduct literature reviews, get insights across millions of papers MCP support coming soon 🚀
i'm watching rag systems evolve from "chat with your pdfs" into something far more valuable. the problem? most rag implementations are primitive text chunking exercises that miss the real economic opportunity. here's what actually matters: extract structured data, not just…
I put together an annotated version of the new Claude 4 system prompt, covering both the prompt Anthropic published and the missing, leaked sections (thanks, @elder_plinius) that describe its various tools It's basically the secret missing manual for Claude 4, it's fascinating!
“짧은 글이나 단어를 일주일에 다섯 번씩 소리 내어 릵는 간단한 프로그램이었다. 그 외에 다른 변수는 없었다. 그런데 놀랍게도, 이 훈련만으로도 치매 환자들의 인지 기능이 향상됐다.”
재미있는 #논문 이네. 사람들이나 AI알고리즘이나 둘다 블랙박스인데 사람의 결정은 자신이 더 잘 이해한다고 착각함. 이 연구에서 사용한 사례는 판사의 판결, 면접관의 채용 결정, 영상의학의사의 판독 3가지. "그럼 설명해보세요"라고 하면 본인이 이해하고 있다고 믿는 점수가 뚝 떨어짐 ㅋㅋ
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