AI models may soon self-replicate without access to data centers, Anthropic warns


FILE PHOTO: An Anthropic logo is displayed at Moscone Center during the Dreamforce 2026 technology summit in San Francisco, California, US, September 17, 2026. REUTERS/Carlos Barria/File Photo

Oct 13 (Reuters) - Anthropic said ⁠on Monday its experiments suggested small AI models may be ⁠months away from being capable enough to self-replicate on commercial ‌internet-of-things (IoT) devices, such as smart ovens and off-brand Android TV boxes.

• In its experiments, Anthropic looked at whether AI models could find vulnerable devices, copy themselves into ​those devices, and continue spreading without human ⁠help.

• It found that small ⁠models under 30 billion parameters could complete the many steps needed ⁠for ‌replication.

• However, the firm found that such AI models also struggled to complete the entire sequence from start to ⁠finish.

• In its simplified tests, where some security steps ​were removed, Anthropic ‌found that GLM-5.2 and stronger models were capable of end-to-end ⁠replication.

• Replicating ​models would be hard to shut down as there is no central switch-off point and, unlike non-AI malware, they could also figure out unfamiliar ⁠devices on their own, targeting data center ​processors, Anthropic warned.

• The firm focused on IoT devices like Android TVs, smart appliances, and other internet-connected gadgets in its research as these are ⁠typically poorly secured.

• The AI major also warned that if small models improved at their historical rate, they would be able to autonomously replicate by the end of this year, with small weight-based ​replicators following suit soon after.

• Anthropic also said ⁠such autonomous AI systems were likely to replicate slowly and rely ​on widely available, relatively insecure computing resources. ‌It added that systems should be strengthened ​to make it harder for such AI agents to spread.

(Reporting by Gargi Gupta in Bengaluru; Editing by Janane Venkatraman)

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