Meta正利用内部工程师的工作痕迹——如代码编写、工具使用和问题解决步骤——来训练其编程AI。CEO扎克伯格认为,让AI观察“聪明人”执行任务(行为克隆),比使用外部承包商代码样本更有效。同时,Meta正裁员约8000人,并计划让约7000名员工转向AI相关岗位。此举反映科技行业新趋势:公司正将人类专业知识直接转化为训练数据,AI不再只是工具,而是能吸收并压缩员工工作模式的系统。
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.