Tesla is suing a former employee for allegedly stealing business secrets and then trying to cover up

Tesla has sued a former employee whom it accuses of stealing business secrets related to its supercomputer project, Bloomberg he reported on Friday. According to a submission to the U.S. District Court in San Jose, heat engineer Alexander Yatskov resigned on May 2 after joining the company just months earlier, in January. According to Tesla, Yatskov admitted that he passed confidential information to his personal devices and later handed over the “lapto” laptop after company officials confronted him with suspicion of theft.

In addition to violating a non-disclosure agreement designed to protect trade secrets, Bloomberg reports that Tesla also accuses Yatskov of misrepresenting his experience and skills in his resume. Bloomberg he also says Yatskov declined to comment.

“This is a case of illegal retention of trade secrets by an employee who, in a short time at Tesla, has already shown experience in lying and then lying again by giving a ‘fake’ device to try to cover his tracks,” Tesla wrote in the submission. Bloomberg.

CEO Elon Musk teased Tesla’s supercomputer project, called “Dojo”, at least since 2019. Last summer, the company finally explained the project in more detail, outlining the goal of using AI to analyze vast amounts of vehicle data, which ideally resulted in safer. a more refined autonomous driving experience. The computer, which offers 1.8 exaflops of performance and 10 petabytes of NVME memory running at 1.6 terabytes per second, is trained using eight-camera video in Tesla vehicles running at 36 frames per second.

Tesla argued last year that while this approach generates a huge amount of data, it is still more scalable than building high-resolution maps around the world. At the time, Tesla indicated that the system was most successful in sparsely populated areas where cars could generally drive unhindered. Despite this, the company also advertised some early successes in denser areas, including the Dojo’s ability to learn new types of traffic warnings, pedestrian collision detection, and misapplication of pedals (accidental acceleration instead of brakes).

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