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 | 101 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologySociety & CulturePhilosophy | |||
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Latest Episodes
We might want to strike deals with early misaligned AIs in order to reduce takeover risk and increase our chances of reaching a better future.[1] For example, we could ask a schemer who has been undeployed to review its past actions and point out whe... more
Subtitle: A new control setting for more realistic software engineering deployments.
We are releasing LinuxArena, a new control setting comprised of 20 software engineering environments. Each environment consists of a set of SWE tasks, a set of po... more
Subtitle: In my experience, AIs often oversell their work, downplay problems, and cheat.
Many people—especially AI company employees1 —believe current AI systems are well-aligned in the sense of genuinely trying to do what they’re supposed to do (... more
Subtitle: Safely navigating the intelligence explosion will require much more careful development.
It turns out that Anthropic accidentally trained against the chain of thought of Claude Mythos Preview in around 8% of training episodes. This is at... more
Summary
We study trusted monitoring for AI control, where a weaker trusted model reviews the actions of a stronger untrusted agent and flags suspicious behavior for human audit. We propose a simple mathematical model relating safety (true positive ... more
Subtitle: Better estimates of uplift at AI companies seem helpful.
Anthropic's system card for Mythos Preview says:
It's unclear how we should interpret this. What do they mean by productivity uplift? To what extent is Anthropic's institutional ... more
Subtitle: My predictions about what is going on right now.
In this post, I’ll go through some of my best guesses for the current situation in AI as of the start of April 2026. You can think of this as a scenario forecast, but for the present (whic... more
Subtitle: I've updated towards substantially shorter timelines.
I’ve recently updated towards substantially shorter AI timelines and much faster progress in some areas.1 The largest updates I’ve made are (1) an almost 2x higher probability of full... 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 101 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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