Redwood Research blog
Buck Shlegeris, Lukas Finnveden, Fabien Roger, Ryan Greenblatt, Alex Mallen, Josh Clymer, Julian Stastny, Vivek Hebbar, Alek Westover, Alexa PanWe research catastrophic AI risks and techniques that could be used to mitigate them.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 71 | Subscribers | Read | blog.redwoodresearch.org |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Notes on fatalities from AI takeover
Suppose misaligned AIs take over. What fraction of people will die? I'll discuss my thoughts on this question and my basic framework for thinking about it. These are some pretty low-effort notes, the topic is very speculative, and I don't g...
Focus transparency on risk reports, not safety cases
There are many different things that AI companies could be transparent about. One relevant axis is transparency about the current understanding of risks and the current mitigations of these risks. I think transparency about this should take...
Prospects for studying actual schemers
One natural way to research scheming is to study AIs that are analogous to schemers. Research studying current AIs that are intended to be analogous to schemers won't yield compelling empirical evidence or allow us to productively study app...
What training data should developers filter to reduce risk from misaligned AI?
One potentially powerful way to change the properties of AI models is to change their training data. For example, Anthropic has explored filtering training data to mitigate bio misuse risk. What data, if any, should be filtered to reduce mi...
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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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