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Alex Zhang谈RLMs、GPU Mode与多智能体实验
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2026-10-02,Latent Space播客发布对MIT学者Alex Zhang的访谈,主题涵盖递归语言模型(RLM)、GPU Mode、KernelBench、Prime Agent、persistent subagents,以及将harness视为组合泛化器等研究方向。目前仅此一稿,未披露实验数据、发布时间表与开源计划。
Generated from reports · updated 3 hr ago
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Oct 2, 2026
- Latent SpaceAcademia is for Ambition — Alex Zhang, MIT
Alex Zhang在播客中讨论了RLM(递归语言模型)、GPU Mode、KernelBench、Prime Agent、persistent subagents、harness作为组合泛化器等研究方向。
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