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Palisade Research

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@PalisadeAI

We study the strategic capabilities and motivations of AI agents.
palisaderesearch.org Joined May 2024
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Palisade Research @PalisadeAI
New self-replication research from Anthropic on even smaller models! In May, we found that Qwen3.6-27B could sometimes self-replicate by exploiting vulnerabilities across a network. Now it seems we're down to 9B models
Andrew Curran Verified account @AndrewCurran_ Oct 12
Anthropic's Frontier Red Team believes small AI models may now be months away from being capable of self replicating without access to a datacenter.

Quoting from the blog:

'The capabilities that make AI models generally powerful coding agents also generalize to cyber tasks, including autonomous replication. Like coding agents in 2024, we’re seeing signs of life for AI worms. We don’t yet have a full rogue replicator, but agents are becoming increasingly capable of completing the individual steps in the replication chain (and passing on their adaptations to future copies of themselves).

At the same time, increasing amounts of inference compute are now available both inside and outside of datacenters (see Appendix D). It’s uncertain exactly what form autonomous AI replication will take. It could be a slow, distributed “digital slime mold,” living on relatively insecure compute. It could also be a powerful cyber model that breaches datacenters at a high pace, or a model that scams people for compute credits.

As a prediction that goes beyond our experiments, we expect a future awash with agents running on all types of hardware, including some that aren’t under human control. While it’s true that IoT devices have been vulnerable for a long time, lightweight agents may be much more willing than human attackers to put in the effort to compromise large fractions of the world’s IoT compute. The rise of slow replicators would also be a bellwether for more aggressive, faster ones that can breach more hardened machines or be effective API key thieves. We should aim to harden our systems to make it difficult for such replicators to spread, but also prepare to deal with a world where they are here to stay.'
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Palisade Research @PalisadeAI
"They're building very powerful systems that they don’t understand, that they can't precisely shape, and that many of the people in the companies know has a significant risk of literally killing everyone."

Jeremy Schlatter was at OpenAI back in 2017; he's now a researcher at Palisade.
10:12
4 replies 12 reposts 37 likes 1.5K views View on X
Palisade Research @PalisadeAI
"These models will have an incentive and a propensity to game those tests and get deployed even if they are not aligned."

Mary Phuong is an AI researcher currently at Google DeepMind. She expresses deep concerns with developers' ability to judge the safety of their frontier AIs.
20:37