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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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90 episodes
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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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“Announcing ControlConf 2026” by Buck Shlegeris
00:01:27
2/26/2026
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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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