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今天10月15日周四2 条
  1. Elon Musk15

    递归自我改进

    引用Race 🕊️@multiplanet1

    A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life. At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday." He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy. Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system. He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting. He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way." The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.

10月14日周三
10月8日周四
  1. MIT Technology Review · AI20

    AVEVA 如何为自主工业 AI 构建更安全的落地路径

    AVEVA 首席技术官 Arti Garg 提出,工业 AI 正从预测分析转向基础模型、physical AI 与 agentic AI,但因其直接作用于物理系统,必须把安全与可靠性置于部署核心。AVEVA 的负责任 AI 框架强调安全、效率与人类监督,主张 AI 应增强而非取代关键决策中的人。Garg 还参与 IEEE 工作组,制定覆盖电力、能源、资源、水和碳的 AI 环境影响测量标准方法。

9月28日周一
9月25日周五
  1. GitHub Blog · AI & ML36

    GitHub Copilot 为何认为 chat 是错误的 UI

    GitHub Copilot 提出 canvas 概念,即运行在 GitHub Copilot app 内、无浏览器外壳的全栈应用,可与 agent 双向通信并调用第三方 API、在本地执行代码。官方认为 chat 只是通用兜底方案,用户明确任务时更该让 agent 构建可复用工具,而非把 agent 本身当工具,例如用 canvas 管理 Winget 包或直接操作 SQLite 数据库。

9月4日周五
8月22日周六
7月7日周二
5月8日周五