Redwood Research Blog
Redwood ResearchNarrations 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.
| Publishes | Twice weekly | Episodes | 116 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Society & CulturePhilosophyTechnology | |||
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Subtitle: If it transfers misalignment, we might get a misaligned model that's easier to incriminate. If it doesn’t, we might get a capable benign replacement model.
Suppose we have a dangerous misaligned AI that can fool alignment audits, and dis... more
Subtitle: Models' no-CoT time horizon has doubled roughly every year.
by Francis Rhys Ward, Dewi Gould, Anders Cairns Woodruff et al. (see full author list at the end)
PAPER LINK
About a year ago, METR showed that the length of tasks frontier ... more
Subtitle: When is "increasing safety budget" a useful concept?
I often use what I’ll call the “safety-usefulness tradeoff model”, which is: developers face a tradeoff between “safety” and “usefulness” of an AI deployment, and the developer has onl... more
We’ve just released a new paper: Retrying vs Resampling in AI Control. We revisit the resampling protocols introduced in Ctrl-Z with an up-to-date setting and much stronger models, and compare them against “retrying” protocols similar to Claude Code ... more
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Frequently Asked Questions About Redwood Research Blog
What is Redwood Research Blog about and what kind of topics does it cover?
These episodes center on advanced AI safety, accountability, and governance, with a strong emphasis on technical methods for evaluating, auditing, and mitigating misalignment risks. Listeners can expect rigorous discussions of AI control protocols, model robustness, incentive structures, and deployment-time risks, often featuring data-driven analyses and concept-driven frameworks. The show frequently revisits red-teaming, monitoring, distillation, reinforcement learning pitfalls, and insider knowledge dynamics, offering practical insights for researchers, practitioners, and policy-focused audiences exploring how to responsibly advance AI capabilities. A notable strength is the heavy emphasis on methodological experimentation and theoretical... more
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Redwood Research Blog launched a year ago and published 116 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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