We research catastrophic AI risks and techniques that could be used to mitigate them.
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blog.redwoodresearch.orgLatest Issues
Continual learning might make your blocking monitors nearly useless
Many control protocols work by intervening on an untrusted AI’s actions during deployment. For example, you might set up a monitor that scores each action’s suspiciousness and blocks actions above a threshold, replacing them with actions fr...
Latent reasoning architectures would undermine CoT, our strongest oversight tool
Summary: Currently, “chain of thought” (CoT) is our most valuable tool for understanding the reasoning and cognition of AI systems. However, some architectures would enable AI models to reason much more extensively in latent states rather t...
Astra is much better at reasoning with filler tokens than previous models
We measure GPT-6-Astra’s capabilities when its prompt is padded with a variable number of meaningless “filler” tokens (e.g., dots) and it is told to answer immediately1 without reasoning. On tasks designed to require lots of serial cognitio...
CoT controllability evals seem very under-elicited
The CoTControl eval asks reasoning models to follow formatting constraints in their chain-of-thought (e.g. write in all lowercase, avoid a specific word) while solving questions. Models seem to mostly be pretty bad at this: recent models sc...
An operationalization of opaque serial depth
Currently, chain-of-thought (CoT) is a valuable tool for overseeing AI models. However, some architectural shifts could significantly reduce CoT monitorability. We have recently proposed that AI companies should transparently share inform...
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Authors
The writers behind this newsletter.
Redwood Research
I work at Redwood Research on technical AI security+safety research.
Helping navigate transformative AI
Researching AI safety, sometimes writing fiction
“every conceivable… objection, including those that would occur only to the malicious or the clinically literal-minded” | math & philosophy at magdalen
Research Analyst at Redwood Research.
Working on AI Safety
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