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LessWrong (Curated & Popular)

Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma.If you

Episodes

Total: 543

Summary: We found that LLMs exhibit significant race and gender bias in realistic hiring scenarios,

Not saying we should pause AI, but consider the following argument: Alignment without the capacity

2.1 Summary & Table of contents This is the second of a two-post series on foom (previous post)

Acknowledgments: The core scheme here was suggested by Prof. Gabriel Weil. There has been growing i

Audio note: this article contains 218 uses of latex notation, so the narration may be difficult to

I think more people should say what they actually believe about AI dangers, loudly and often. Even

I think the AI Village should be funded much more than it currently is; I’d wildly guess that the AI

1.1 Series summary and Table of Contents This is a two-post series on AI “foom” (this post) and “doo

Say you’re Robyn Denholm, chair of Tesla's board. And say you’re thinking about firing Elon Mu

Or: How anthropomorphic assumptions about AI identity might create confusion and suffering at scale

Introduction There are several diseases that are canonically recognized as ‘interesting’, even by

I'd like to say thanks to Anna Magpie – who offers literature review as a service – for her he

Nate and Eliezer's forthcoming book has been getting a remarkably strong reception. I was unde

This is a link post. A very long essay about LLMs, the nature and history of the the HHH assistant p

This is a blogpost version of a talk I gave earlier this year at GDM. Epistemic status: Vague and

Current “unlearning” methods only suppress capabilities instead of truly unlearning the capabilitie

A while ago I saw a person in the comments on comments to Scott Alexander's blog arguing that

Audio note: this article contains 329 uses of latex notation, so the narration may be difficult to

1. Late last week, researchers at Apple released a paper provocatively titled “The Illusion of Think

Four agents woke up with four computers, a view of the world wide web, and a shared chat room full