According to sources with direct knowledge, Jancso revealed that Acceleratex signed a partnership agreement with Palantir in 2024. According to LinkedIn a person described as one of the co -founders of Acceleratex, Rachel YeeThe company looks like financing from the Accelerator OPENAI Converge 2. Another co -founder of Acceleratesf, Kay Sorin, is now working for OpenAI, joined the company a few months after this hackathon. Sorin and Yee did not answer the requests for comment.
Co -founder of Jancso, Jordan Wick, a former Waymo engineer, was an vigorous member of the dog, appearing in several agencies over the past few months, including the Consumer Protection Office, the National Council of employment, the Department of Labor and the Department of Education. In 2023, Jancso participated in Hackaton hosted by Scaleai; Wired stated that another Doge member Ethan Shaotran also participated in the same hackaton.
Since the creation of the second days of the second administration, Trump Doge has pushed the operate of AI in various agencies, even if he tried to reduce tens of thousands of federal jobs. In the Veterans Department, the Doge collaborator suggested the operate of artificial intelligence to write code on the agency’s website; During the administration of general services, the dog introduced Chatbot GSAI; The group tried to automate the process of dismissal of government employees using a tool called authorif; And a working DOGE in the Department of Housing and City Development uses AI tools to study and propose changes in regulations. But experts say that the implementation of AI agents to work 70,000 people would be challenging, if not impossible.
A federal employee with knowledge about government agreements who talked to the cable in terms of anonymity because they were not authorized to talk to the press, he says: “Many agencies have procedures that may vary depending on their own rules and regulations, and therefore the implementation of AI agents on a scale would be very difficult.”
Oren Etzioni, co -founder of the AI Vercept startup, says that although AI agents may be good in doing some things – such as using a web browser to conduct research – their results may continue to differ and be very unbelievable. For example, customer service agents came up with non -existent rules when trying to solve user problems. He says that even research requires a man to make sure that what Ai spits out is correct.
“We want our government to be something we can rely on, unlike something that is on the absolute advantage of bleeding,” says Etzii. “We don’t need it to be bureaucratic and slow, but if the corporations have not yet accepted it, does the government really want to experiment with the latest artificial intelligence?”
Etzioni claims that AI agents are also not great 1-1 to exchange work. Rather AI is able to perform certain tasks or escalate the efficiency of others, but the idea that technology can work 70,000 employees would not be possible. “Unless you use funny mathematics,” he says, “There is no way.”