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.
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.
LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs. "The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks. So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model's coding ability faster than what others in the industry have the capability to do, who don't have thousands and thousands of extremely strong engineers at their company."在 X 查看被引用的帖子
来源：Rohan Paul · x.com