Scaling Interpretability

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 Eric is a PhD student in the Department of Physics at MIT working with Max Tegmark on improving our scientific/theoretical ... Andrew Mack details a project focused on developing "ambitious mechanistic credibility tools" to improve AI How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ... 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 ... Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... This has been my favorite video so far to make! I think MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... Eric Michaud returns to the stream to talk about his recent work on How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ...