Tesla exec leading development of chip tech and Dojo supercomputer is leaving company
Bannon was leading the development of Tesla's Dojo supercomputer and reported directly to Musk. Bloomberg first reported on Bannon's departure, and added that Musk ordered his team to shut down, with engineers in the group getting reassigned to other initiatives.
Tesla didn't immediately respond to a request for comment.
Since early last year, Musk has been trying to convince shareholders that Tesla, his only publicly traded business, is poised to become an an artificial intelligence and robotics powerhouse, and not just an electric vehicle company.
A centerpiece of the transformation was Dojo, a custom-built supercomputer designed to process and train AI models drawing on the large amounts of video and other data captured by Tesla vehicles.
Tesla's focus on Dojo and another computing cluster called Cortex were meant to improve the company's advanced driver assistance systems, and to enable Musk to finally deliver on his promise to turn existing Teslas into robotaxis.
On Tesla's earnings call in July, Musk said the company expected its newest version of Dojo to be "operating at scale sometime next year, with scale being somewhere around 100,000 H-100 equivalents," referring to a supercomputer built using Nvidia's state of the art chips.
Tesla recently struck a $16.5 billion deal with Samsung to produce more of its own A16 chips with the company domestically.
Tesla is running a test Robotaxi service in Austin, Texas, and a related car service in San Francisco. In Austin, the company's vehicles require a human safety supervisor in the front passenger seat ready to intervene if necessary. In San Francisco, the car service is operated by human drivers, though invited users can hail a ride through a "Tesla Robotaxi" app.
On the earnings call, Musk faced questions about how he sees Tesla and his AI company, xAI, keeping their distance given that they could be competing against one another for AI talent.
Musk said the companies "are doing different things." He said, "xAI is doing like terabyte scale models and multi-terabyte scale models." Tesla uses "100x smaller models," he said, with the automaker focused on "real-world AI," for its cars and robots and xAI focused on developing software that strives for "artificial super intelligence."
Musk also said that some engineers wouldn't join Tesla because "they wanted to work on AGI," one reason he said he formed a new company.
Tesla has experienced an exodus of top talent this year due to a combination of job terminations and resignations. Milan Kovac, who was Tesla's head of Optimus robotics engineering, departed, as did David Lau, a vice president of software engineering, and Omead Afshar, Musk's former chief of staff.
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As Fortune's Sharon Goldman put it, while Steve Jobs called his computers 'a bicycle for the mind,' 'Zuckerberg, by contrast, imagines superintelligence as a pair of Ray-Bans that help you…be a better friend?' The lack of ambition in Zuckerberg's rhetoric is all the more striking when one considers the extreme ambition of his spending on AI. This year alone, he's hired former GitHub CEO Nat Friedman and veteran AI founder Daniel Gross; Scale AI CEO Alexandr Wang (as part of a quasi-purchase of Scale, a massively important company whose training data is used by just about every AI company); Apple AI chief Ruoming Pang; and ChatGPT co-creator Shengjia Zhao, among several others. His hiring spree, and the gargantuan amounts he's willing to pay top talent, have roiled the sector for weeks now. 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