Interpretability Now What

Summary

Been Kim (Google Brain) simons.berkeley.edu/talks/tbd-72 Frontiers of Deep Learning. This is a talk I gave to my MATS 9.0 training scholars about the big picture of mech interp - as of Oct 2025, what had changed? What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim, Senior Research Scientist, Google Brain Presented at ... How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... Lex Fridman Podcast full episode: youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ our ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ... Part 1 of a walkthrough of our paper, Progress Measures for Grokking via Mechanistic Abstract: With widespread use of machine learning, there have been serious societal consequences from using black box models ... Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Art by Clipped from episode 19 of AXRP: youtu.be/3YbE7zybc5k?t=64 Transcript of that episode: ... 80000hours.org/mlst Visit our sponsor 80000 hours - grab their free career guide and their podcast! Use our ...