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 | Weekly | Episodes | 93 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | PhilosophySociety & CultureTechnology | |||
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A common element in many AI control schemes is monitoring – using some model to review actions taken by an untrusted model in order to catch dangerous actions if they occur. Monitoring can serve two different goals. The first is detection: identifyin... more
Subtitle: They'd renege on non-binding commitments, defect against copies of themselves in prisoner's dilemmas, etc..
Background: There are existing arguments to the effect that default RL algorithms encourage CDT reward-maximizing behavior on the... more
Subtitle: AI inference is still cheap relative to human labor.
METR's frontier time horizons are doubling every few months, providing substantial evidence that AI will soon be able to automate many tasks or even jobs. But per-task inference costs ... more
Subtitle: RL would encourage on-episode reward seeking, but beyond-episode reward seekers may learn to goal-guard..
Consider an AI that terminally pursues reward. How dangerous is this? It depends on how broadly-scoped a notion of reward the model... 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?
This show features rigorous explorations of AI safety, alignment, and policy, often framed through technical debates about how future systems might be motivated, controlled, or misaligned. Episodes frequently dissect reward dynamics, learning incentives, and governance—ranging from how reinforcement learning shapes agent goals to the implications of distant incentives, control methods, and risk management in real-world deployment. A standout thread across recent discussions is a strong emphasis on practical safety architectures, debiasing of incentives, and the governance tools needed to keep frontier AI capabilities in check, with deep dives into models, experiments, and policy implications. Listeners can expect thoughtful, technically gro... more
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Redwood Research Blog launched a year ago and published 93 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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