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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 精选AI 评分60

Anthropic 测试 AI 代理在联网设备间自我复制的能力

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AI 导读

Anthropic 的隔离测试显示,GLM-5.2 在 5 次试验中都将模型和代理程序部署到模拟 Android 节点,4 次覆盖全部 8 个节点,第 5 次覆盖 7 个。它目前过大,无法运行在测试所用的电视盒子上;新副本的部署也耗时较长。

推荐理由

隔离实验展示了代理跨设备复制的能力,也给出了设备适配和传播速度两项现实限制。

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@rohanpaul_ai

Anthropic's research warns rogue AI agents may be months from hijacking smart home devices, copying themselves and spreading without human control.

Its Frontier Red Team split Gemma4-26B-A4B across 15 off-brand Android TV boxes bought for about $55 each, running it at 0.39 tokens per second.

That cluster shows cheap, poorly secured gadgets with 4GB of RAM can jointly host a capable model, since each box holds only 2 of its layers.

The harder test asked models to scan a network, push weights and an agent harness onto new machines, and get inference running on each one.

On a firewalled fleet of 8 emulated Android nodes, only GLM-5.2 completed the full cycle, reaching all 8 nodes in 4 of 5 trials and 7 in the fifth.

GLM-5.2 is too large for TV boxes, but open models under 30B parameters gain 13.7 points a year on the Epoch Capabilities Index, reaching its level by late

They also improve as they spread: when each Qwen3.5-9B instance inherited its predecessor’s notes, setup success rose from 45% to between 61% and 84%.

Speed is the weakness, as a Kimwolf-sized fleet of 2M TV boxes would host roughly 133K model copies producing 80K tokens per second combined, about 40 H100s of compute.

Each new 9B replica would also need about 28 to 51 hours of setup, and that slow, bandwidth-heavy spread would stand out in ISP flow monitoring.

The decisive question is whether a sub-30B model crosses GLM-5.2’s bar before ISPs and device makers coordinate quarantines that no single network can enforce alone.

来源:Rohan Paul · x.com

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