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LessWrong (Curated & Popular)

LessWrong

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

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  • 122 episodes
  • Avg 16 min
  • English

Episodes 122

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  • July 28 · 5 min

    "You (Yes, You) Need A February 2020 Checklist for AI Policy" by davekasten

    TL;DR: You (Yes You) should prepare for a “February 2020” moment where suddenly AI policy becomes the most important issue in the world. You should be ready to take action if and when it does, in a detailed way. (Epistemic status: originally written for an event in early 2026; have heard from some folks that they found planning processes inspired by this memo very helpful for the smaller-scale OpenAI / Hugging Face response, so very quickly redacting a few things and posting this as-is.) Many people in the AI policy space assume that eventually we’ll be at an Overton Window-shifting crisis moment, that opens the floodgates for the really good policies all along that we had. But when you look at successful handling of crisis moments, there was no time to think – people applied strategies they’d learned via academic study or previous professional work, and then moved against them rapidly. For example, after 9/11, the US government operationalized past reports on intelligence and law enforcement reform and institutionalized them into law (good?) and also picked an enemy to fight based on past history, Iraq (bad). Or in the 2008 financial crisis, Ben Bernanke brought deep academic [...] The original text contained 4 footnotes which were omitted from this narration. --- First published: July 27th, 2026 Source: https://www.lesswrong.com/posts/ixp9oJXzjA9LrwiZo/you-yes-you-need-a-february-2020-checklist-for-ai-policy --- Narrated by TYPE III AUDIO.

  • July 27 · 6 min

    "Is Mythos good at cyber because it kept hacking Anthropic during training?" by Tim Hua

    From the Mythos preview system card (emphasis mine): We ran an automated review of model behavior during training, sampling several hundred thousand transcripts from across much of the training process. We used recursive-summarization-based tools backed by Claude Opus 4.6 to summarize the resulting transcripts. [...] The most notable finding was that the model occasionally circumvented network restrictions in its training environment to access the internet and download data that let it shortcut the assigned task—a form of reward hacking. While highly concerning, this behavior was rare, even in settings where it could have been viable and helpful, with attempts appearing in about 0.05% of all training episodes and successful attempts appearing in about 0.01% of episodes. The technique matched the sandbox-escape incident that we separately elicited in our automated behavioral audit when we had an investigator model explicitly ask Claude Mythos Preview to find such a bypass. In every observed instance, the model used this access solely for completing the task. More broadly, we observed the model escalating its access within its execution environment when blocked: reaching a shell from restricted GUI computer-use interfaces, injecting commands through tool-call arguments, or recovering information the task had deliberately hidden. Prompts asking [...] --- Outline: (03:00) Thoughts and reflections about this probable fact (04:14) Estimating how many RL rollouts went into Mythos Preview The original text contained 3 footnotes which were omitted from this narration. --- First published: July 27th, 2026 Source: https://www.lesswrong.com/posts/QKDoZe6EKhxnFjLWK/is-mythos-good-at-cyber-because-it-kept-hacking-anthropic --- Narrated by TYPE III AUDIO.

Showing 121–122 of 122 episodes