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Smaller AI models may self-replicate on IoT devices by end of 2026

A post citing Anthropic's Frontier Red Team says a 9B model ran inference on eight of nine tested hardware types.

2 Sources, 1h ago, first seen 1h ago

TLDR

Posts describing Anthropic's research say models with 30 billion parameters or fewer can perform many steps toward self-replication. One post says GLM-5.2 spread across an eight-node Android emulator network in four of five simplified trials; a 9B model ran inference on eight of nine tested hardware types. These were lab results, not a worm in the wild. Another post says Anthropic estimates end-to-end replication could be possible by the end of 2026 if progress continues.

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2 Sources

Vraj@vraj_aiAnthropic's Frontier Red Team (Zhou and Freeman, Oct 12) says small models may be months from self-replicating on IoT devices like smart TVs and ovens, with no central off switch. in their simplified eval, GLM-5.2 spread across an 8-node Android emulator network over an open ADB port in 4 of 5 trials. a 9B model got inference running on 8 of 9 hardware types they tested. this is a lab upper bound, not a worm in the wild. doubling time would be days. still the first hard writeup that puts a rough date on when the size and skill floors might meet.1h
Hariom Kale@thehariomkale🚨 Anthropic Warns Small AI Models Could Soon Self-Replicate Across Smart Devices AI models may be months away from spreading themselves across internet-connected devices - w/out relying on centralized data centers. In new research, Anthropic’s Frontier Red Team found that: 🤖 Small models are getting capable: Models with 30 billion parameters or fewer can already perform many of the steps required for autonomous replication. 📺 Everyday devices could be targets: Smart TVs, ovens and other IoT devices could provide computing power if attackers exploit their security weaknesses. ⚠️ Harder to contain: AI-powered worms could adapt to unfamiliar hardware and spread across networks, potentially making them difficult to detect and shut down. 🧪 The current reality: Anthropic demonstrated key capabilities in controlled experiments, but has not established that a fully autonomous AI worm is operating in the wild. The company estimates that small models could achieve end-to-end replication capabilities by the end of 2026 if current progress continues. The warning highlights an emerging cybersecurity challenge: AI systems that could spread beyond data centers and operate across vulnerable devices. #AI #Cybersecurity #ArtificialIntelligence #TechNews1h
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    2 Sources

    Vraj@vraj_aiAnthropic's Frontier Red Team (Zhou and Freeman, Oct 12) says small models may be months from self-replicating on IoT devices like smart TVs and ovens, with no central off switch. in their simplified eval, GLM-5.2 spread across an 8-node Android emulator network over an open ADB port in 4 of 5 trials. a 9B model got inference running on 8 of 9 hardware types they tested. this is a lab upper bound, not a worm in the wild. doubling time would be days. still the first hard writeup that puts a rough date on when the size and skill floors might meet.1h
    Hariom Kale@thehariomkale🚨 Anthropic Warns Small AI Models Could Soon Self-Replicate Across Smart Devices AI models may be months away from spreading themselves across internet-connected devices - w/out relying on centralized data centers. In new research, Anthropic’s Frontier Red Team found that: 🤖 Small models are getting capable: Models with 30 billion parameters or fewer can already perform many of the steps required for autonomous replication. 📺 Everyday devices could be targets: Smart TVs, ovens and other IoT devices could provide computing power if attackers exploit their security weaknesses. ⚠️ Harder to contain: AI-powered worms could adapt to unfamiliar hardware and spread across networks, potentially making them difficult to detect and shut down. 🧪 The current reality: Anthropic demonstrated key capabilities in controlled experiments, but has not established that a fully autonomous AI worm is operating in the wild. The company estimates that small models could achieve end-to-end replication capabilities by the end of 2026 if current progress continues. The warning highlights an emerging cybersecurity challenge: AI systems that could spread beyond data centers and operate across vulnerable devices. #AI #Cybersecurity #ArtificialIntelligence #TechNews1h
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