AI × CryptoBullisharXiv – CS AI · 6h ago7/10
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Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet Traces
Researchers demonstrate that Bittensor's ORO Subnet 15 (ShoppingBench) can generate high-quality trajectory data for training smaller AI agents, achieving 42.7% performance on held-out tests—matching synthetic baselines while using only a fraction of a day's subnet output. The work establishes incentive-aligned agent arenas as a practical alternative to biased synthetic data and unfiltered production logs for agentic AI post-training.
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