Redwood Research blog
Buck Shlegeris, Ryan Greenblatt, Alex Mallen, Josh Clymer, Julian Stastny, Alek Westover, Alexa Pan, James Lucassen, Adam Kaufman, Anders Cairns WoodruffWe research catastrophic AI risks and techniques that could be used to mitigate them.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 94 | Subscribers | Read | blog.redwoodresearch.org |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Are AIs more likely to pursue on-episode or beyond-episode reward?
Consider an AI that terminally pursues reward. How dangerous is this? It depends on how broadly-scoped a notion of reward the model pursues. It could be:
The case for satiating cheaply-satisfied AI preferences
A central AI safety concern is that AIs will develop unintended preferences and undermine human control to achieve them. But some unintended preferences are cheap to satisfy, and failing to satisfy them needlessly turns a cooperative situat...
Frontier AI companies probably can't leave the US
It’s plausible that, over the next few years, US-based frontier AI companies will become very unhappy with the domestic political situation. This could happen as a result of democratic backsliding, weaponization of government power (along t...
Announcing ControlConf 2026
We’re running ControlConf, a two-day conference on AI control: the study of reducing risks from misalignment through safeguards that work even when AI models are trying to undermine them.
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Authors
The writers behind this newsletter.
I work at Redwood Research on technical AI security+safety research.
Redwood Research
I'm a researcher at Redwood Research who specializes in safety evaluation methodologies of advanced AI agents.
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