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Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...

What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...

A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...

Interpretable models can be understood by a human without any other aids/techniques. On the other hand, explainable models ...

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ Check out our ...

How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ...

How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ...

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ...

AI models are trained and not directly programmed, so we don't understand how they do most of the things they do. Our new ...

Art by @hamishdoodles Clipped from episode 19 of AXRP: https://youtu.be/3YbE7zybc5k?t=64 Transcript of that episode: ...

Adam Shai presented “Building the Science of Interpretability“ on February 25, 2026 at FAR.AI Labs Seminar.

Peter Hase, Postdoctoral Researcher, Stanford University Abstract: AI models often learn problematic reasoning processes due to ...

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 if you were to peer inside the 'mind' of AI? You wouldn't find fully formed thoughts, just vast arrays of numbers. In this ...

http://80000hours.org/mlst Visit our sponsor 80000 hours - grab their free career guide and check out their podcast! Use our ...

Recorded 31 August 2026. Josh Batson of Anthropic presents "Interpretability: From Art Towards Science" at IPAM's Foundations ...

Neel Nanda from DeepMind presenting 'Mechanistic Interpretability: A Whirlwind Tour' on July 21, 2024 at the Vienna Alignment ...

Recorded 01 September 2026. Max Tegmark of the Massachusetts Institute of Technology presents "Neural network ...

Neel Nanda (Google DeepMind) discussed his mechanistic interpretability team's pivot from ambitious reverse-engineering goals ...

Dhanya Sridhar, a professor at Université de Montréal and Mila, as well as a co-leader of the IVADO R3AI working group on safe ...