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 How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ...
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 How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... 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
Eric Michaud returns to the stream to talk about his recent work on Lex Fridman Podcast full episode: Thank you for listening ❤ Check out our ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... Part 1 of a walkthrough of our paper, Progress Measures for Grokking via Mechanistic
![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)
