
We research catastrophic AI risks and techniques that could be used to mitigate them.
| Platform | Pricing | Only free issues | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 92 | Subscribers | Read | blog.redwoodresearch.org |
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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...
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.
Reward-seekers are usually modeled as responding only to local incentives administered by developers. Here I ask: Will AIs or humans be able to influence their incentives at a distance—e.g., by retroactively reinforcing actions substantiall...
As AI systems get more capable, it becomes increasingly uncompetitive and infeasible to avoid deferring to AIs on increasingly many decisions. Further, once systems are sufficiently capable, control becomes infeasible.1 Thus, one of the mai...
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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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