Anthropic tests point to AI self-replication risk on connected devices
The company says smaller models may soon be capable of replicating across connected devices, but its tests have not demonstrated a reliable real-world AI worm.
Anthropic said in research published on 12 October that smaller AI models may be months away from the capability to replicate across commercial internet-connected devices, including smart appliances and Android TV boxes. Its tests did not demonstrate a reliable rogue replicator in the real world.
What Anthropic’s replication tests showed
Anthropic reported that models with 30 billion parameters or fewer completed many individual replication steps but made mistakes when combining them. In a simplified test with an unauthenticated Android Debug Bridge port and a separate inference server, GLM-5.2 completed replication across the test network. Anthropic described that setup as an upper bound on real-world success because it removed important security barriers.
The company also ran Gemma4-26B-A4B across 15 inexpensive Android TV boxes, showing that distributed model inference could run on that hardware. That test did not show autonomous infection or spread; Al Jazeera reported that no model tested was both powerful and small enough to replicate reliably on the TV hardware.
Anthropic projects that, if small models keep improving at their historical rate, they could reach the tested capability level by the end of 2026. That timeline is a forecast based on its capability measure, not a demonstrated deployment.
Sources and context
- AI models may be capable of self-replicating without access to a datacenterAnthropic
- AI could self-replicate on home devices within ‘months’, Anthropic saysAl Jazeera
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