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Tuesday

  11. UCSD Hao AI LabSelected

    UCSD Hao AI Lab open-sources Minecraft agent Jev, prompt evolution without training

    UCSD Hao AI Lab has open-sourced the Minecraft agent Jev, publishing how it works after 1,795 matches. It does not train a model; instead, a SOTA LLM agent evolves prompts from the bot's own logs under human supervision; in Block UHC it won 70% of rounds against human players. Each decision takes 24 ms on NVIDIA Blackwell, which the team says is 2.5 times faster than a mainstream inference engine, and it has open-sourced the inference engine DJev-serve, completing each decision in a single CUDA graph on GB200 NVL72 and B200.

    ed the Minecraft agent Jev, publishing how it works after 1,795 matches. It does not train a model; instead, a SOTA LLM agent evolves prompts from the bot's own logs under human supervision; in Block UHC it won 70% of rounds against human players. Each decision takes 24 ms on NVIDIA Blackwell, which the team says is 2.5 times faster than a mainstream inference engine, and it has open-sourced the inference engine DJev-serve, completing each decision in a single CUDA graph on GB200 NVL72 and B200.

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