Scaling Interpretability

Summary

Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ... Eric is a PhD student in the Department of Physics at MIT working with Max Tegmark on improving our scientific/theoretical ... Atticus Geiger from Pr(Ai)²R Group explores “State of Lex Fridman Podcast full episode: youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ our ... MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong. This is a talk I gave to my MATS 9.0 training program on ... Andrew Mack details a project focused on developing "ambitious mechanistic credibility tools" to improve AI This has been my favorite video so far to make! I think Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Eric Michaud returns to the stream to talk about his recent work on