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

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

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

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 ...

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

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 ...

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

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

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?

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

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

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

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

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 ...

"Looking Inside Neural Networks with Mechanistic Interpretability" by Chris Olah. Delivered at the 2023 San Francisco Alignment ...

In this video, we explore the concept of interpretability in machine learning, its importance, and the latest methods available to ...