TSLA Stock Will Shake Off Autopilot Exec’s Departure
Tesla has laid off plenty of workers lately but now one of its top executives is stepping down voluntarily . Andrej Karpathy, who has held the position of Senior Director of AI since 2017 , has announced his departure. Karpathy has been one of the driving forces behind Tesla’s efforts to incorporate driver assistance technology. His resignation comes at a time when the full-self driving (FSD) tech is generating considerable controversy after multiple on-road accidents. TSLA stock has had a difficult morning, falling 2% so far. But this is likely due to broad market forces, not strictly the news from Karpathy. As of now, Tesla has issued no statements as to who will be taking Karpathy’s place. His shoes will certainly be difficult to fill. According to Karpathy’s LinkedIn profile , his responsibilities centered around leading the “computer vision team of Tesla Autopilot.” As he presented it, this included four core aspects; data gathering, neural network training, “the science of making it work” and deployment in production running on the company’s custom chip.
TSLA Stock Will Shake Off Autopilot Exec’s Departure
Tesla has laid off plenty of workers lately but now one of its top executives is stepping down voluntarily . Andrej Karpathy, who has held the position of Senior Director of AI since 2017 , has announced his departure. Karpathy has been one of the driving forces behind Tesla’s efforts to incorporate driver assistance technology. His resignation comes at a time when the full-self driving (FSD) tech is generating considerable controversy after multiple on-road accidents. TSLA stock has had a difficult morning, falling 2% so far. But this is likely due to broad market forces, not strictly the news from Karpathy. As of now, Tesla has issued no statements as to who will be taking Karpathy’s place. His shoes will certainly be difficult to fill. According to Karpathy’s LinkedIn profile , his responsibilities centered around leading the “computer vision team of Tesla Autopilot.” As he presented it, this included four core aspects; data gathering, neural network training, “the science of making it work” and deployment in production running on the company’s custom chip.