2 publications · 2 reports
The Next Interrupt briefing
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Anthropic has warned that small artificial intelligence models could eventually self-replicate across consumer IoT hardware, such as smart ovens and Android TV boxes, to form distributed botnets that handle AI workloads without data centers. [1][2]
Research by Anthropic's Frontier Red Team showed that Qwen3.5-9B could set up inference servers across multiple hardware configurations, while Gemma4-26B-A4B ran across 15 Android TV boxes at 0.39 tokens per second. Additionally, the 744-billion-parameter GLM-5.2 orchestrated network replication across cloud nodes with open Android Debug Bridge ports, deploying Llama 3.1 8B inference servers. [2]
However, smaller models could not independently carry out the replication sequence, and current deployment faces heavy bandwidth requirements, hardware constraints, and low throughput. While Anthropic projects that 30-billion-parameter models might achieve the necessary capabilities by late 2026, real-world deployment remains impractical without major efficiency gains. [2]
Anthropic is warning that small AI models could soon be able to self-replicate across consumer IoT devices, from Android TV boxes to smart ovens, creating distributed botnets capable of running AI workloads without relying on data centers.
Excerpt · BleepingComputer
Anthropic’s paper establishes conceptual model capabilities, but doesn’t quite demonstrate a real threat until models improve further.
Excerpt · Tom’s Hardware