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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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10 episodes
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“Will reward-seekers respond to distant incentives?” by Alex Mallen
00:21:47
2/16/2026
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“How do we (more) safely defer to AIs?” by Ryan Greenblatt
02:07:01
2/12/2026
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“Distinguish between inference scaling and “larger tasks use more compute”” by Ryan Greenblatt
00:05:24
2/11/2026
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“Fitness-Seekers: Generalizing the Reward-Seeking Threat Model” by Alex Mallen
00:45:21
1/29/2026
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The inaugural Redwood Research podcast
03:52:24
1/5/2026
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“Recent LLMs can do 2-hop and 3-hop latent (no CoT) reasoning on natural facts” by Ryan Greenblatt
00:31:37
1/1/2026
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“Measuring no CoT math time horizon (single forward pass)” by Ryan Greenblatt
00:12:17
12/26/2025
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“Recent LLMs can use filler tokens or problem repeats to improve (no-CoT) math performance” by Ryan Greenblatt
00:25:34
12/22/2025
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“BashArena and Control Setting Design” by Adam Kaufman, jlucassen
00:32:08
12/18/2025
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“The behavioral selection model for predicting AI motivations” by Alex Mallen, Buck Shlegeris
00:36:12
12/4/2025
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