ELON MUSK’S SO-CALLED Department of Government Efficiency (DOGE) used artificial intelligence from Meta’s Llama model to comb through and analyze emails from federal workers.

Materials viewed by WIRED show that DOGE affiliates within the Office of Personnel Management (OPM) tested and used Meta’s Llama 2 model to review and classify responses from federal workers to the infamous “Fork in the Road” email that was sent across the government in late January.

The email offered deferred resignation to anyone opposed to changes the Trump administration was making to its federal workforce, including an enforced return-to-office policy, downsizing, and a requirement to be “loyal.” To leave their position, recipients merely needed to reply with the word “resign.” This email closely mirrored one that Musk sent to Twitter employees shortly after he took over the company in 2022.

Records show that Llama was deployed to sort through email responses from federal workers to determine how many accepted the offer. The model appears to have run locally, according to materials viewed by WIRED, meaning it’s unlikely to have sent data over the internet.

Meta and OPM did not respond to requests for comment from WIRED.