A security architect with the National Labor Relations Board (NLRB) alleges that employees from Elon Musk‘s Department of Government Efficiency (DOGE) transferred gigabytes of sensitive data from agency case files in early March, using short-lived accounts configured to leave few traces of network activity. The NLRB whistleblower said the unusual large data outflows coincided with multiple blocked login attempts from an Internet address in Russia that tried to use valid credentials for a newly-created DOGE user account. The allegations came in an April 14 letter to the Senate Select Committee on Intelligence, signed by Daniel J. Berulis, a 38-year-old security architect at the NLRB.

NPR, which was the first to report on Berulis’s whistleblower complaint, says NLRB is a small, independent federal agency that investigates and adjudicates complaints about unfair labor practices, and stores “reams of potentially sensitive data, from confidential information about employees who want to form unions to proprietary business information.”

The complaint documents a one-month period beginning March 3, during which DOGE officials reportedly demanded the creation of all-powerful “tenant admin” accounts in NLRB systems that were to be exempted from network logging activity that would otherwise keep a detailed record of all actions taken by those accounts.

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Last month, Roy Lee was suspended from Columbia after he was accused of using AI to “cheat” on technical job interviews for Amazon, Meta, and TikTok. On Sunday, he announced that he raised $5.3 million to start Cluely, a new startup that aims to allow users to similarly “cheat on everything.”Cluely went viral when it launched earlier this week thanks to a commercial Lee posted on X. In the video, Lee bumbles his way through a date. A large UI sits between him and his date, feeding him information about the woman’s interests and coaching him on how to talk to her.

In an interview, however, Lee told me that his AI tool is not really cheating.

“Initially it will feel like cheating, but if we win, nobody will think this is cheating,” Lee told me.

Cheating or not, after testing Cluely myself, I’m not sure it will help anyone land a job.

Lee wants people to use Cluely on “Sales calls. Meetings. Negotiations,” the “manifesto” on the software’s website says. “If there’s a faster way to win—we’ll take it. We built Cluely so you never have to think alone again. It sees your screen. Hears your audio. Feeds you answers in real time. While others guess—you’re already right.”

Cluely is the latest attempt to bring large language models into the “real world” after products like the Humane Pin and Rabbit R1 were widely hyped but were widely disappointing. It’s also reminiscent of a project that Joseph wrote about out of Harvard, where students put facial recognition software into a pair of Meta smart glasses.

“The second realm of negative feedback is that ‘cheating is inherently unethical and immoral.’ This is where we’re trying to do a lot of reframing around what exactly defines cheating, what cheating really is, and what cheating will look like in a future that is AI native,” he said.

“Entire school systems will be gone. The entire K-12 education. Everybody sits in a room eight hours a day, takes multiple choice exams. In my future, everything we understand education to be, will be completely gone.” He said that people will explore whatever topics they want from the earliest ages in the “most efficient way possible.”