Meta is turning its internal workforce into a living laboratory. According to internal memos first reported by Reuters, the company is launching the "Model Capability Initiative," a program designed to harvest data from the everyday digital actions of its U.S. employees. By tracking mouse movements, clicks, and keystrokes, the Meta Superintelligence Labs team aims to build a high-fidelity dataset to refine the reasoning of future AI agents.
The initiative relies on specialized software that monitors activity within specific work-related applications and websites. To provide the necessary context for these raw inputs, the system also captures periodic screenshots. This approach suggests a shift in AI development strategy: moving beyond static web-scraped data toward the granular, procedural logic of human experts performing professional tasks in real-time.
In a memo to staff, the company framed the surveillance as a collaborative effort, stating that employees can help models improve "simply by doing their daily work." While the move highlights the industry's deepening need for high-quality, human-generated training data, it also blurs the line between professional labor and algorithmic feeding. At Meta, the worker is no longer just a creator of products, but the specimen from which the next generation of automation is being modeled.
With reporting from Ars Technica.
Source · Ars Technica
