@rohanpaul_ai: WOW, A leaked audio from Meta’s April 30 all-hands. Meta is reportedly using its own engineers’ work traces to train co…

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Leaked audio reveals Meta is using engineers' work traces to train coding AI through behavior cloning, while cutting thousands of jobs.

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.
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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.

More Perfect Union (@MorePerfectUS): 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

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@_FORAB: So surreal. Recently, Meta founder Zuckerberg, on the eve of massive layoffs, had an internal public talk that was recorded by an employee. He revealed that all employees' devices are routinely tracked by the company to train AI models. The reason is to turn everyone's working methods into training data, so that fewer human workers are needed. This is too strang…

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Meta founder Zuckerberg revealed in an internal talk that the company routinely tracks employee device data to train AI models, aiming to turn working methods into training data to reduce labor needs. The talk was recorded and exposed by an employee on the eve of layoffs.