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73,595 results
A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...
61,887 views
2y ago
Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...
308,233 views
1y ago
What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...
382,391 views
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ Check out our ...
33,005 views
Interpretable models can be understood by a human without any other aids/techniques. On the other hand, explainable models ...
54,715 views
3y ago
AI models are trained and not directly programmed, so we don't understand how they do most of the things they do. Our new ...
274,542 views
How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ...
15,582 views
How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ...
13,955 views
10mo ago
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ...
7,356 views
5y ago
Adam Shai presented “Building the Science of Interpretability“ on February 25, 2026 at FAR.AI Labs Seminar.
840 views
3mo ago
http://80000hours.org/mlst Visit our sponsor 80000 hours - grab their free career guide and check out their podcast! Use our ...
144,233 views
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?
10,837 views
Art by @hamishdoodles Clipped from episode 19 of AXRP: https://youtu.be/3YbE7zybc5k?t=64 Transcript of that episode: ...
9,743 views
Neel Nanda from DeepMind presenting 'Mechanistic Interpretability: A Whirlwind Tour' on July 21, 2024 at the Vienna Alignment ...
22,885 views
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 ...
238,048 views
Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ...
35,485 views
Recorded 01 September 2026. Max Tegmark of the Massachusetts Institute of Technology presents "Neural network ...
25,663 views
1mo ago
Dhanya Sridhar, a professor at Université de Montréal and Mila, as well as a co-leader of the IVADO R3AI working group on safe ...
168 views
5mo ago
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