"We're Studying You to Figure Out How to Make This All More Effective" - Zuckerberg's Leaked Comment Sparks Job Loss Fears

AI models are described as learning from observing highly capable people and benefiting from the higher average intelligence of employees at the company. Internal employees building tools is presented as a way to dramatically increase model coding ability faster than competitors. Employees were reportedly told to work from home for humanitarian reasons and then received termination emails with access cards deactivated shortly afterward. The layoffs are characterized as a shift toward operating leverage through fewer employees, with remaining employees effectively serving as training inputs. The situation is compared to similar approaches likely used by other major AI and cloud organizations, with emphasis on the uniqueness of stating the strategy openly.

"“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 could do tasks.” He added that having internal employees build tools would “dramatically increase our model's coding ability faster than what others in the industry have the capability to do.”"

"According to the leaked audio reporting, employees were told to work from home for humanitarian reasons, then received termination emails the next day with access cards deactivated. For shareholders of Meta Platforms ( NASDAQ:META | META Price Prediction), this is the clearest public articulation yet of where Zuckerberg believes operating leverage comes from: fewer employees, and the ones who remain effectively training the model that replaces the rest."

"Jason Calacanis called it “a really bad look for Zuck to be doing these profound layoffs after forcing everybody to do like AI-first hackathons.” He paraphrased the underlying message as “He's like, listen, we're studying you to figure out how to make this all more effective because you're all so brilliant. It will result in more jobless.” Calacanis questioned whether this is the first honest signal that AI is producing real job loss at big tech, beyond the polite efficiency narratives."

"Lon Harris made the point that matters most for cross-stock analysis: Google, Amazon, and OpenAI are likely doing the same thing, but Zuckerberg may be unique in saying it out loud. If internal workflow data is the next frontier for foundation-model improvement, every hyperscaler's labor base is now training data."

Read at 24/7 Wall St.