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19 - Mechanistic Interpretability with Neel Nanda

AXRP - the AI X-risk Research Podcast

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Automated Machine Learning and Machine Learning in a Neural Network

A lot of my optimism for a while where we might be able to actually have fully reverse engineered and then so what's going on in a frontier model like gpt5 is i expect it's most likely to happen if we have systems that are more capable than the language models we have today. But maybe not quite a human level that can do a lot of the work for us just because something being really labor intensive is much less of an issue when all jobs are automated including arts okay but that's very much an ambitious goal of the field not a thing we're near today sure sure how you could say the same thing about any activation or like anything happening inside a network right there's some reason

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