作为老板，导师既不直接参与项目开发，也无需对结果负责，他并没有兴趣和必要推广一个生产工具。
As is the case with the other hyperscalers, including Alphabet and Meta, Oracle’s capital expenditures are soaring as it races to build more data centers and infrastructure for AI. Last May, Oracle’s free cash flow turned negative by $394 million after the company’s operating cash flow of $20.8 billion was overtaken by its capex of $21.2 billion. From fiscal 2024 to fiscal 2025, Oracle’s capex jumped from $6.9 billion to $21.2 billion and last quarter Oracle guided its capex would be $50 billion this fiscal year. Meanwhile, its operating cash flow grew from $18.7 billion in fiscal 2024 to $20.8 billion in fiscal 2025 and analysts estimate it’s on track to reach $22.3 billion this year. The company has said it expects the negative free cash flow trend to continue as it pursues its AI ambitions.
。新收录的资料是该领域的重要参考
This is a very different feeling from other tasks I’ve “mastered”. If you ask me to write a CLI tool or to debug a certain kind of bug, I know I’ll succeed and have a pretty good intuition on how long the task is going to take me. But by working with AI on a new domain… I just don’t, and I don’t see how I could build that intuition. This is uncomfortable and dangerous. You can try asking the agent to give you an estimate, and it will, but funnily enough the estimate will be in “human time” so it won’t have any meaning. And when you try working on the problem, the agent’s stochastic behavior could lead you to a super-quick win or to a dead end that never converges on a solution.。新收录的资料对此有专业解读
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用，这一点在新收录的资料中也有详细论述