Anthropic's red team ran an AI model on 15 cheap TV boxes. The worry is the off-switch
No such worm exists in the wild. The researchers made the hacking step easy on purpose, so the result is an upper bound.
글 The desk, News · · 1분 읽기
태그: anthropic · safety research · self-replication · devices
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- 이 소식
- No such worm exists in the wild.
- 왜 중요한가
- The researchers made the hacking step easy on purpose, so the result is an upper bound.
- 확인된 것
- The photograph is generated for this story.
이름을 밝힌 출처에 묶여 있다. 검증됨으로 표시하지 않았다. Anthropic: AI models may be capable of self-replicating without access to a datacenter
The news
Anthropic's Frontier Red Team tested whether open-weight models can copy themselves across devices without a data centre. In a firewalled test of eight cloud nodes running Android emulators with an open debugging port, Zhipu's GLM-5.2 was the only open model to complete the full cycle of finding hosts, gaining access and starting a working copy, reaching all eight nodes in four of five trials.
Why it matters
The risk is not a brilliant model but one that is hard to switch off: a replicator spread across consumer devices has no central kill switch.
The details
Separately, the team ran a 26-billion-parameter Gemma model across 15 off-brand Android TV boxes costing about 55 dollars each, at 0.39 tokens per second. That cluster was networked by hand; it was not an autonomous infection.
The authors project that models small enough to fit on such devices could reach GLM-5.2's capability by the end of 2026. They stress that the exploit step was made trivial, so the results are an upper bound.
What we could not check
- The projection to end-2026 is the authors' estimate.
- We did not rerun the experiment.
출처
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