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  12. 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.

    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

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  18. Clément Delangue

    Reflection launches Beam, an open-source agentic model with 501B total parameters and 23B active

    Reflection has released Beam, an efficient open-source agentic model with 501B total parameters and 23B active parameters, emphasizing frontier reasoning efficiency and advancing the Western open-source frontier on coding and agentic tasks, trained end-to-end from scratch. Full weights will be released this month. Hugging Face CEO Clément Delangue reposted the news.

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    #editorial#English text is being prepared.#Model releases#English text is being prepared.