Redwood Research Blog

Redwood Research

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About

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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Recent episodes

  • “A basic case for accelerating conceptual reasoning capabilities” by Emery Cooper, Caspar Oesterheld, Chi NguyenOct 27, 2026 · 1 hr 8 min
  • “Simulated Control Evaluations” by Jeffrey Olmo, TylerOct 23, 2026 · 25 min
  • “Red-Teaming OpenAI’s Internal Agent Monitoring Systems” by Buck ShlegerisOct 22, 2026 · 10 min
  • “Screwtape: Adversarial Transcript Editing for Monitor Red-Teaming” by Gosha Kozhevnikov, TylerOct 16, 2026 · 16 min
  • ″[Paper] Distillation for Incrimination and Distillation for Capabilities” by Sebastian Prasanna, Alek WestoverOct 9, 2026 · 21 min
  • “Frontier models’ decision theory depends on who’s asking” by Alex KastnerOct 5, 2026 · 14 min
  • “Capabilities research expands the safety-usefulness Pareto frontier too” by Alex MallenOct 2, 2026 · 20 min
  • “Continual learning might make your blocking monitors nearly useless” by Alex MallenSep 25, 2026 · 26 min
  • “Astra is much better at reasoning with filler tokens than previous models” by Dylan Xu, Sebastian Prasanna, Alek WestoverSep 23, 2026 · 16 min
  • “Latent reasoning architectures would undermine CoT, our strongest oversight tool” by Lukas Finnveden, Alexa Pan, Alek Westover, Girish Gupta, Nathan Sheffield, Ryan GreenblattSep 23, 2026 · 54 min

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