Former DOGE staffers testify in NEH grant lawsuit

A federal judge has ruled that deposition videos of two former Department of Government Efficiency (DOGE) staffers can remain online, rejecting claims that potential embarrassment outweighed public interest in the case. The former DOGE employees, Justin Fox and Nathan Cavanaugh, testified that they used OpenAI’s ChatGPT to identify grants from the National Endowment for the Humanities (NEH) they believed violated President Donald Trump’s executive order targeting “radical and wasteful” diversity, equity and inclusion programs. Determinations of which grants to cut were made by feeding short summaries of projects into ChatGPT and asking the chatbot if there was any connection to DEI, according to discovery materials released by the American Historical Association in March as part of a lawsuit against the NEH. The DOGE employees appeared to rely on the technology to compile a list of 1,477 grants to terminate, nearly every active award made during the Biden administration. The cuts clawed back more than $100 million, nearly half the federal agency’s budget, throwing organizations into turmoil and forcing some projects to shut down. Watch PBS News for daily, breaking and live news, plus special coverage. We are home to PBS News Hour, ranked the most credible and objective TV news show. Sign up for Here's The Deal with Lisa Desjardins: https://to.pbs.org/41q6E8i Subscribe for exclusive content in our newsletters: https://www.pbs.org/newshour/subscribe PBS News podcasts: https://www.pbs.org/newshour/podcasts Stream your PBS favorites with the PBS app: https://to.pbs.org/2Jb8twG Find more from PBS News at https://www.pbs.org/newshour Subscribe to our YouTube channel: https://bit.ly/2HfsCD6 Follow us: TikTok:   / pbsnews   X:   / newshour   Instagram:   / newshour   Facebook: http://www.pbs.org/newshour

DOGE staffers used ChatGPT to identify massive grant cuts
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DOGE staffers used ChatGPT to identify massive grant cuts

Nathan Cavanaugh Deposition in ACLS-AHA-MLA Lawsuit About the NEH, Part 1 of 7
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