Media Summary: Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ... Atticus Geiger from Pr(Ai)²R Group explores “State of Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...
Scaling Interpretability - Detailed Analysis & Overview
Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ... Atticus Geiger from Pr(Ai)²R Group explores “State of Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Lex Fridman Podcast full episode: Thank you for listening ❤ Check out our ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Stanford AI Lab Faculty Lunch, November 7, 2025. Updated version of 0:59 ...
Eric is a PhD student in the Department of Physics at MIT working with Max Tegmark on improving our scientific/theoretical ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... Eric Michaud returns to the stream to talk about his recent work on At an Anthropic Research Salon event in San Francisco, four of our researchers—Alex Tamkin, Jan Leike, Amanda Askell and ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... Part 1 of a walkthrough of our paper, Progress Measures for Grokking via Mechanistic
In this talk, Mansi discusses her work with This has been my favorite video so far to make! I think
![Atticus Geiger - State of Interpretability & Ideas for Scaling Up [Alignment Workshop]](https://i.ytimg.com/vi/eqZ1iEoor5s/mqdefault.jpg)
![The Dark Matter of AI [Mechanistic Interpretability]](https://i.ytimg.com/vi/UGO_Ehywuxc/mqdefault.jpg)
