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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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31 episodes
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“A review of “Investigating the consequences of accidentally grading CoT during RL”” by Buck Shlegeris
00:15:27
5/7/2026
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“Risk from fitness-seeking AIs: mechanisms and mitigations” by Alex Mallen
01:03:23
5/1/2026
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“Research Sabotage in ML Codebases” by Eric Gan
00:13:40
4/29/2026
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“Recursive forecasting” by Arun Jose, Alex Mallen
00:18:03
4/28/2026
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“AI companies should publish security assessments” by Ryan Greenblatt
00:05:49
4/27/2026
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“Fail safe(r) at alignment by channeling reward-hacking into a “spillway” motivation” by Anders Cairns Woodruff, Alex Mallen
00:31:31
4/27/2026
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“A taxonomy of barriers to trading with early misaligned AIs” by Alexa Pan
02:06:27
4/21/2026
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“Introducing LinuxArena” by Tyler
00:09:27
4/20/2026
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“Current AIs seem pretty misaligned to me” by Ryan Greenblatt
01:05:16
4/15/2026
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“Anthropic repeatedly accidentally trained against the CoT, demonstrating inadequate processes” by Alex Mallen, Ryan Greenblatt
00:11:54
4/14/2026
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