Tesla is suing a former employee who accuses him of stealing trade secrets related to her supercomputer project, Bloomberg announced on Friday. According to a complaint in the US District Court in San Jose, thermal engineer Alexander Yatskov left on May 2, after joining the company only a few months earlier, in January. According to Tesla, Yatskov admitted that he transferred confidential information to his personal devices and later handed over a “fictitious” laptop after company officials brought him against him on suspicion of theft.

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

“This is a case of illegal trade secrets by an employee who, during his short time at Tesla, has already demonstrated experience in lying and then again, providing a ‘fictitious’ device to try to cover his tracks,” Tesla wrote in dossier, reported Bloomberg.

CEO Elon Musk has been annoying Tesla’s supercomputer project called Dojo since at least 2019. Last summer, the company finally explained the project in more detail, setting the goal of using AI to analyze vast amounts of vehicle data in the ideal result in safer, more sophisticated autonomous driving. The computer, which offers 1.8 exaflops of performance and 10 petabytes of NVME storage running at 1.6 terabytes per second, is trained using video from eight cameras in Tesla vehicles running at 36 frames per second.

Tesla said last year that although 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 said the system was most successful in sparsely populated areas, where cars could run mostly without interruption. However, the company also highlighted some early successes in denser areas, including Dojo’s ability to study new types of traffic warnings, collision detection with pedestrians and improper pedal applications (accidental acceleration instead of brakes).

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