NVIDIA and Stanford's CLM Treats Decision-Making as Retrieval, Up to 9x Faster
wschroll · x · 2026-09-26
NVIDIA and Stanford's Contrastive Language Model (CLM) skips text generation and handles small repeated decisions inside AI systems: choosing tools, ranking patches, routing requests, picking next actions. It treats decision-making as retrieval — encoding state with a frozen Qwen3-8B, then contrastively retrieving decisions — claiming up to 9x faster System 1 decision-making. The thread also catalogs the Jev ecosystem: live trading bots, autonomous browser agents, frame-by-frame Doom agents.
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