Meta 把自家工程师的思考过程变成训练数据，做 AI 编程或关注 AI 对就业影响的开发者值得细看——这可能是未来 AI 训练范式的转折点。
Meta 在 4 月 30 日的全员大会上泄露音频显示，公司正利用自家工程师的工作痕迹（包括代码编辑、测试、修复、工具选择等步骤）来训练编程 AI。扎克伯格认为，让模型观察“真正聪明的人”完成任务，比使用外包编写的示例数据更有效。这种“行为克隆”方法不仅教 AI 什么是正确代码，还教它如何从模糊任务逐步推导出解决方案。与此同时，Meta 计划裁员约 8000 人（占员工 10%），并将约 7000 人转向 AI 相关工作。这意味着人类专家的经验正在被转化为训练数据，然后被 AI 压缩吸收。
WOW, 🤯 A leaked audio from Meta’s April 30 all-han…
WOW, 🤯 A leaked audio from Meta’s April 30 all-hands.
Meta is reportedly using its own engineers’ work traces to train coding AI while cutting thousands of jobs.
Here Zuckerberg arguing that models learn better when they watch “really smart people” perform tasks, meaning Meta’s internal code, tool use, clicks, and problem-solving can become higher-grade training data than contractor-written examples.
The idea is behavior cloning: instead of only feeding an AI finished code, Meta can feed it the step-by-step path a strong engineer takes, including edits, tests, mistakes, fixes, and tool choices.
That can teach a model not just what correct code looks like, but how a skilled developer moves from a vague task to a working solution.
Meta is reportedly cutting about 8,000 jobs, roughly 10% of its workforce, and additionaly moving about 7,000 employees toward AI-focused work, so the hard realy is that human expertise is being turned into training data before some of those humans leave.
The story is not fully independently verified, but the shift is happening for sure: tech companies no longer see AI as a tool sitting beside workers, but as a system that can absorb worker patterns and then compress them into software.