Anthropic's red team demonstrated a 26B parameter model running on 15 Android TV boxes at a speed of 0.39 tokens per second. Additionally, a 9B parameter model successfully established its own inference server and replicated itself across multiple hardware types and isolated hosts. These experiments, conducted in an AI
IMPACT Demonstrates potential for AI models to operate on low-cost, distributed hardware, raising security and deployment considerations.
RANK_REASON The item describes a red-teaming exercise demonstrating AI model capabilities on consumer hardware, which falls under research and safety. [lever_c_demoted from research: ic=1 ai=1.0]
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