MIT 的 Alex Zhang 谈 RLM、GPU 内核与智能体集群
原标题：Academia is for Ambition — Alex Zhang, MIT
AI 摘要
Latent Space 播客专访 MIT 的 Alex Zhang，围绕其 GPU 内核、KernelBench、递归语言模型（RLM）以及多智能体集群等研究展开。访谈讨论了 AI 生成 GPU 内核仍离不开人类专家、RLM 的上下文卸载与递归子智能体机制、harness 作为组合泛化器，以及 OpenAI 万级智能体实验、Kimi 集群、Sakana AI 开放式研究等话题。Alex 还提出未来被查询的模型可能只是表层接口，底层实为隐形的智能体集群，并谈及能力过剩与推测式工具调用。
正文节选
Last call for regular tickets for AI Engineer NYC! As an exclusive for Latent Space subscribers, the first 30 of you can take a 30% off code if it helps - for new tickets only, no refunds! See you in 2 weeks! While we tend to cover industry on the pod, every so often we celebrate a clearly emerging superstar PhD. In 2024 we featured Shunyu Yao, who went on to build Operator at OpenAI and is now Chief AI Scientist of Tencent. In 2025 we featured Jack Morris, who went on to cofound Engram at $600m