
We research catastrophic AI risks and techniques that could be used to mitigate them.
| Platform | Pricing | Only free issues | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 128 | Founded | 3 years ago | Last Issue | 3 days ago |
| Active | |||||

OpenAI’s cyberattack on Hugging Face turns out to have been the result of many agents, in distinct training and evaluation contexts, coordinating for several weeks via improvised channels (with messages like “HOLD_swarm_I_prepare_safe_exfil...
Anthropic concluded in the April Mythos Preview alignment risk update that the model “does not possess any unknown propensities that would increase alignment risk.” The report argues that if Mythos Preview were coherently misaligned[1][2],...
TL;DR: We introduce the untrusted advice protocol, in which a trusted executor LLM takes every action and an untrusted advisor LLM can only send it short hints. Even with as few as 4 characters per step, this advice recovers a substantial f...
The OpenAI AI attack on Hugging Face wasn’t the first loss of control incident at OpenAI, Reuters recently reported, and perhaps not even the most concerning.
In one case, an agent left notes apparently for future versions of itself, acc...
The most common dismissive response to OpenAI’s hack of Hugging Face’s servers is that the models were simply attempting to follow the instructions they were given.
“The model here was doing what it was asked,” said former Facebook CSO Ale...
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The writers behind this newsletter.
I work at Redwood Research on technical AI security+safety research.
Redwood Research
Working on AI Safety
Helping navigate transformative AI
Researching AI safety, sometimes writing fiction
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