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News World Americas US politics DOGE used flawed AI tool to ‘munch’ Veteran Affairs contracts, report claims Artificial intelligence tool only reviewed first 10,000 characters of government contracts to determine if it should be ‘munched’
Jesse Watters complains after one of his veteran friends loses job in DOGE cuts Your support helps us to tell the story From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging.
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The Independent is trusted by Americans across the entire political spectrum. And unlike many other quality news outlets, we choose not to lock Americans out of our reporting and analysis with paywalls. We believe quality journalism should be available to everyone, paid for by those who can afford it.
Your support makes all the difference. Read more Employees in the Department of Government Efficiency reportedly used a flawed artificial intelligence model to determine the necessity of contracts in the Department of Veterans Affairs , resulting in hundreds of contracts, valued at millions of dollars, being canceled.
Given only 30 days to implement President Donald Trump ’s executive order directing DOGE to review government contracts and grants to ensure they align with the president’s policies, an engineer in DOGE rushed to create an AI to assist in the task.
Engineer Sahil Lavingia wrote code which told the AI to cancel, or in his words “munch,” anything that wasn’t “directly supporting patient care” within the agency.
However neither he, nor the model, required the knowledge to make those decisions.‘ “I’m sure mistakes were made,” he told ProPublica. ”Mistakes are always made.”
One of the key problems was that the AI only reviewed the first 10,000 characters (roughly 2,500 words) of contracts to determine whether it was “munchable” – Lavingia’s term for if the task could be done by VA staffers rather than outsourcing, ProPublica reported.
Experts who reviewed the code also told ProPublica that Lavingia did not clearly define many critical terms, such as “core medical/benefits,” and used vague instructions, leading to multiple critical contracts being flagged as “munchable.”
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A Department of Government Efficiency employee created a rushed AI tool to help uncover ‘waste, fraud, and abuse’ (Getty) For example, the model was told to kill DEI programs, but the prompt failed to define what DEI was, leaving the model to decide.
At another point in the code, Lavingia asked the AI to “consider whether pricing appears reasonable” for maintenance contracts, without defining what “reasonable” means.
In addition, the AI was created on an older, general purpose model not suited for the complicated task, which caused it to hallucinate, or make up, contract amounts, sometimes believing they were worth tens of millions as opposed to thousands.
Cary Coglianese, a professor at the University of Pennsylvania who studies governmental use of AI, told ProPublica that understanding which jobs could be done by a VA employee would require “sophisticated understanding of medical care, of institutional management, of availability of human resources” – all things the AI could not do.
Lavingia acknowledged the AI model was flawed, but he assured ProPublica that all “munchable” contracts were vetted by other people.
Lavingia, who was fired from DOGE approximately 55 days into his job after sharing some of his work with journalists, has described the work he did on his blog and released the code he used at the VA on GitHub .
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Musk hired engineers outside of the government to assist in finding ‘waste fraud and abuse’ in the government – as a result, many do not possess necessary institutional knowledge (AP) The VA initially announced, in February, it would cancel 875 contracts .
But various veteran affairs advocates sounded the alarm, warning that some of those contracts related to safety inspections at VA medical facilities, direct communications with veterans about benefits, and the VA’s ability to recruit doctors.
One source familiar with the situation in the department told the Federal News Network that some cuts demonstrated a “communication breakdown” between DOGE advisors, VA leaders, and lawmakers who oversee the VA.
The VA soon walked that number back, instead announcing in March it would cancel approximately 585 “non-mission-critical or duplicative contracts,” re-directing around $900 million back to the agency.
Peter Kasperowicz, a spokesperson for the Department of Veterans Affairs, said in a statement that the termination of these contracts will have “no impact on Veteran care of VA services.”
“VA does not cancel contracts unless they are no longer needed or the department has contingency plans in place to ensure continuity of services and no negative impacts to Veterans or VA beneficiaries,” Kasperowicz said.
Kasperowicz added the department is reviewing all 76,000 active contracts to ensure each one is a “good use” of taxpayers’ money and is benefitting veterans.
“Decisions to keep, cut, or descope contracts are based on careful and methodical multi-level reviews by VA employees, including career subject-matter experts who are responsible for the contracts, as well as VA senior leaders and contracting officials. As far as we know, this sort of review has never been done before, but we are happy to set this commonsense precedent,” Kasperowicz added.
In addition, Kasperowicz claimed ProPublica is a “far-left outlet with a proven history of bias against the Trump Administration” and called the article a “hit piece.” He said that when confronted, authors for the article were unable to identify “any problems caused by VA contract cuts.”
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