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  1. RoboTTT——面向机器人策略的上下文扩展：将TTT集成至VLA中以推理时建立记忆信息，从而将视觉-运动上下文扩展到 8K 个时间步
    摘要：本文提出RoboTTT方法，通过将测试时训练（TTT）机制整合到机器人基础模型中，实现了8K时间步的长视觉-运动上下文建模。该方法采用快速权重机制，...
  2. AI 成本战的隐性成本与降本五层：从"成功率悖论"到"系统复杂度"（中） - 张善友
    今天很多 AI 降本，表面上看是在压 token，本质上是在压复杂度
  3. 10 Newsletters Keeping You Ahead in AI
    Cut through AI noise with 10 curated newsletters covering daily news, technic...
  4. Presentation: From Copy-Paste to Composition: Building Agents Like Real Software
    Jake Mannix discusses moving AI agents past chaotic "1970s BASIC" arc...
  5. Multi-Cluster databases on Kubernetes: Architecture and deployment
    Introduction Running a database on Kubernetes is well understood. Running one...
  6. I made a policy engine think it was in production
    Kyverno is a Kubernetes-native policy engine that validates, mutates, and gen...
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