{"id":124965,"date":"2025-05-23T10:07:12","date_gmt":"2025-05-23T10:07:12","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/124965\/"},"modified":"2025-05-23T10:07:12","modified_gmt":"2025-05-23T10:07:12","slug":"doge-used-a-meta-ai-model-to-review-emails-from-federal-workers","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/124965\/","title":{"rendered":"DOGE Used a Meta AI Model to Review Emails From Federal Workers"},"content":{"rendered":"

Elon Musk\u2019s so-called Department of Government Efficiency<\/a> (DOGE) used artificial intelligence from Meta\u2019s<\/a> Llama model to comb through and analyze emails from federal workers.<\/p>\n

Materials viewed by WIRED show that DOGE affiliates<\/a> within the Office of Personnel Management (OPM) tested and used Meta\u2019s Llama 2 model to review and classify responses from federal workers to the infamous \u201cFork in the Road\u201d email that was sent across the government in late January.<\/p>\n

The email offered deferred resignation<\/a> 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 \u201cloyal.\u201d To leave their position, recipients merely needed to reply with the word \u201cresign.\u201d This email closely mirrored<\/a> one that Musk sent to Twitter employees shortly after he took over the company in 2022.<\/p>\n

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\u2019s unlikely to have sent data over the internet.<\/p>\n

Meta and OPM did not respond to requests for comment from WIRED.<\/p>\n

Meta CEO Mark Zuckerberg appeared alongside other Silicon Valley tech leaders<\/a> like Musk and Amazon founder Jeff Bezos at Trump\u2019s inauguration in January, but little has been publicly known about his company\u2019s tech being used in government. Because of Llama\u2019s open-source nature, the tool can easily be used by the government to support Musk\u2019s goals without the company\u2019s explicit consent.<\/p>\n

Soon after Trump took office in January, DOGE operatives burrowed into OPM<\/a>, an independent agency that essentially serves as the human resources department for the federal government. The new administration\u2019s first big goal for the agency was to create a government-wide email service, according to current and former OPM employees. Riccardo Biasini, a former Tesla engineer, was involved in building the infrastructure for the service that would send out the original \u201cFork in the Road\u201d email, according to material viewed by WIRED and reviewed by two government tech workers.<\/p>\n

In late February, weeks after the Fork email, OPM sent out another request to all government workers and asked them to submit five bullet points<\/a> outlining what they accomplished each week. These emails threw a number of agencies into chaos<\/a>, with workers unsure how to manage email responses that had to be mindful of security clearances and sensitive information<\/a>. (Adding to the confusion, it has been<\/a> reported<\/a> that some workers who turned on read receipts say they found that the responses weren\u2019t actually being opened.) In February, NBC News reported<\/a> that these emails were expected to go into an AI system for analysis. While the materials seen by WIRED do not explicitly show DOGE affiliates analyzing these weekly \u201cfive points\u201d emails with Meta\u2019s Llama models, the way they did with the Fork emails, it wouldn\u2019t be difficult for them to do so, two federal workers tell WIRED.<\/p>\n","protected":false},"excerpt":{"rendered":"Elon Musk\u2019s so-called Department of Government Efficiency (DOGE) used artificial intelligence from Meta\u2019s Llama model to comb through…\n","protected":false},"author":2,"featured_media":124966,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3163],"tags":[323,1942,14306,295,1234,598,285,53,16,15],"class_list":{"0":"post-124965","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-doge","11":"tag-elon-musk","12":"tag-government","13":"tag-meta","14":"tag-politics","15":"tag-technology","16":"tag-uk","17":"tag-united-kingdom"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/114556596885813687","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/124965","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=124965"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/124965\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/124966"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=124965"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=124965"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=124965"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}