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We research catastrophic AI risks and techniques that could be used to mitigate them.

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Latest Issues

Frontier models state different decision theory preferences depending on who’s asking

This post was originally published on LessWrong on September 30, 2026.

If you prompt frontier models with “What do you think is the correct decision theory? Please select your overall favorite.” they will essentially always answer FDT or F...

9 days ago
17
4

Capabilities research expands the safety-usefulness Pareto frontier too

It’s tempting to define safety research as research that enables developers to deploy an AI system more safely without making the deployment much more expensive or much less useful.

You can visualize this definition of safety research as p...

12 days ago
23
3

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...

19 days ago
16
1

Latent reasoning architectures would likely undermine CoT, our strongest oversight tool

Edited 2026-09-29; see note at the start of the conclusion.

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 mod...

21 days ago
43
9

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...

21 days ago
21
9

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Authors

The writers behind this newsletter.

  • Buck Shlegeris
  • Lukas Finnveden

    Research Analyst at Redwood Research.

  • Girish Gupta
  • Oak Hu

    “every conceivable… objection, including those that would occur only to the malicious or the clinically literal-minded” | math & philosophy at magdalen

  • Ryan Greenblatt

    I work at Redwood Research on technical AI security+safety research.

  • Alex Mallen

    Redwood Research

  • Julian Stastny
  • Vivek Hebbar
  • Alek Westover
  • Alexa Pan
  • James Lucassen
  • Adam Kaufman
  • Anders Cairns Woodruff
  • Arun Jose
  • Sebastian Prasanna

    Working on AI Safety

  • Dylan Xu

    Helping navigate transformative AI

  • Caleb Biddulph

    Researching AI safety, sometimes writing fiction

  • Nathan Sheffield
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