Click here if you just want to see the Database I made of all[1] AI safety papers written since 2020 and not read the methodology.

Over the last month I have been trying to see just how much I can learn and do from a cold start[2] in the world of AI safety. A large part of this has been frantically learning mech interp, but I've picked up two projects that I think are worth sharing!

There are a lot of AI Safety papers. When I started working on more hands on projects there wasn't a clear way to find relevant papers. For example, if I wanted related datasets there's not a great way to search for datasets. Huggingface has a dataset search, but the search functionality is terrible. I could ask an AI to try to find relevant datasets but that's mostly just the whims of google searching. Many good datasets are hidden away in not famous papers[3]. Or, if I want to look at using a specific technique it's not easily searchable to find all papers about sparse autoencoding.

So, I had Claude[4] read every single paper it confidently classified as AI safety and then summarize it [...]

The original text contained 7 footnotes which were omitted from this narration.

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First published:
March 3rd, 2026

Source:
https://www.lesswrong.com/posts/CpWFrT9Grr5t7L3vx/i-had-claude-read-every-ai-safety-paper-since-2020

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Narrated by TYPE III AUDIO.

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Images from the article:

Database table showing AI safety research papers with titles, research areas, citations, and publication years.

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“I Had Claude Read Every AI Safety Paper Since 2020” by Corm

LessWrong (30+ Karma)