Archive - Redwood Research blog

Recent Redwood Research project proposals

Empirical AI security/safety projects across a variety of areas

Jul 14 •

Ryan Greenblatt

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What's worse, spies or schemers?

And what if you have both at once?

Jul 9 •

and

Ryan on the 80,000 Hours podcast

Ryan’s podcast with Rob Wiblin has just come out!

Jul 8 •

How much novel security-critical infrastructure do you need during the singularity?

And what does this mean for AI control?

Jul 5 •

Two proposed projects on abstract analogies for scheming

We should study methods to train away deeply ingrained behaviors in LLMs that are structurally similar to scheming.

Jul 4 •

There are two fundamentally different constraints on schemers

"They need to act aligned" often isn't precise enough

Jul 2 •

June 2025

Jankily controlling superintelligence

How much time can control buy us during the intelligence explosion?

Jun 27 •

Ryan Greenblatt

What does 10x-ing effective compute get you?

Once AIs match top humans, what are the returns to further scaling and algorithmic improvement?

Jun 24 •

Ryan Greenblatt

Comparing risk from internally-deployed AI to insider and outsider threats from humans

And why I think insider threat from AI combines the hard parts of both problems.

Jun 23 •

Making deals with early schemers

...could help us to prevent takeover attempts from more dangerous misaligned AIs created later.

Jun 20 •

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Olli Järviniemi

, and

Prefix cache untrusted monitors: a method to apply after you catch your AI

Training the policy to not do egregious bad actions we detect has downsides and we might be able to do better

Jun 20 •

Ryan Greenblatt

AI safety techniques leveraging distillation

Distillation is cheap; how can we use it to improve safety?

Jun 19 •

Ryan Greenblatt

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