“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,” said Zuckerberg. “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.”

He assured the company’s 78,000 employees that “no human is looking at or watching what people are doing on their computers... None of the data is being used for looking at what people are doing or surveillance or performance tracking or anything like that. It’s purely just that we are using this to feed a very large amount of content into the AI model so that way it can learn how smart people use computers to accomplish tasks.”

Zuckerberg explained how the employees have been used to train the model that could potentially replace many of them days after Meta announced it was planning to lay off about 10% of its workforce as the company invests heavily in AI, spending $125 billion to $145 billion on the technology—more than double what it spent last year.