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Redwood Research Blog | Wave AI Podcast Notes
Redwood Research Blog
Narrations of Redwood Research blog posts. Redwood Research is a research nonprofit based in Berkeley. We investigate risks posed by the development of powerful artificial intelligence and techniques for mitigating those risks.
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21 episodes
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“Logit ROCs: Monitor TPR is linear in FPR in logit space” by Kerrick Staley, Aryan Bhatt, Julian Stastny
00:27:41
4/12/2026
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“If Mythos actually made Anthropic employees 4x more productive, I would radically shorten my timelines” by Ryan Greenblatt
00:13:10
4/11/2026
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“My picture of the present in AI” by Ryan Greenblatt
00:21:03
4/7/2026
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“AIs can now often do massive easy-to-verify SWE tasks” by Ryan Greenblatt
00:29:27
4/6/2026
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“Blocking live failures with synchronous monitors” by James Lucassen, Adam Kaufman
00:07:15
3/30/2026
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“Reward-seekers will probably behave according to causal decision theory” by Alex Mallen
00:03:06
3/28/2026
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“AI’s capability improvements haven’t come from it getting less affordable” by Anders Cairns Woodruff
00:21:04
3/27/2026
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“Are AIs more likely to pursue on-episode or beyond-episode reward?” by Anders Cairns Woodruff, Alex Mallen
00:17:35
3/12/2026
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“The case for satiating cheaply-satisfied AI preferences” by Alex Mallen
00:52:14
3/10/2026
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“Frontier AI companies probably can’t leave the US” by Anders Cairns Woodruff
00:15:20
2/26/2026
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