Scaling Interpretability
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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 Andrew Mack details a project focused on developing "ambitious mechanistic credibility tools" to improve AI How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... Eric is a PhD student in the Department of Physics at MIT working with Max Tegmark on improving our scientific/theoretical ... 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 ❤ our ... Part 1 of a walkthrough of our paper, Progress Measures for Grokking via Mechanistic 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 A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...
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Last Updated: June 19, 2026
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