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Brian Stanke's avatar

Hi Andrew, I am impressed enough with some of your writing to reply pointing out several important factual errors that I believe are leading your analysis astray. First relying on poor-quality sourcing gave you completely false information about what Dojo is/was, its relationship to AI training, and Tesla’s in-house AI efforts.

Dojo is a Tesla designed computer chip specifically for AI model training. It is a competitor to Nvidia AI/GPU chip. Other companies doing this are: Meta, Google, Amazon, Microsoft, and OpenAI. (1) All of these companies design the chips and use foundry companies like TSMC or Samsung to build the actual chip hardware.

Tesla’s on-car computers use its in-house FSD Computer. These are AI inference chips. Originally Tesla used a Nvidia chip in their “Hardware 2” when Autopilot 2 first debuted. In 2016 they started work on “Hardware 3” or “FSD Computer 1” and began installing them in all their cars in 2019.(2) You can think of this as Apple switching from Dragon and Intel chips for iPhones and Macs to their “A” series of in-house chip designs. AI3 was replaced with “Hardware4” with “AI4” chips in 2021.(3) Both generations fabbed by Samsung. Next year Tesla is switching to “AI5” built by TSMC. Finally Tesla just inked a #13 billion + contract with Samsung to build their “AI6” chips in Samsung’s new Texas Fab (at 2 nm process) by 2027.(4)

The news a few weeks ago was that Tesla is cancelling the development effort for DOJO version 2 and 3 and using the AI6 chips for their next, next supercomputers in 2027. Remember both are chip designs not computers.

Tesla’s latest supercomputers are Colossus 1 (operating since Dec. 2024) and Colossus 2 (under construction). These are build with Nvidia AI/GPU training chips and Colossus 1 is what is currently used to train new versions of FSD. (5)

So your paragraph:

“The edge for Tesla’s robotaxis was supposed to be its superior driving-automation software, but Tesla has just shut down its Dojo supercomputer project. Musk has positioned Dojo as "the cornerstone of Tesla's AI ambitions" since 2019, claiming it would process "truly vast amounts of video data" essential for achieving full self-driving capability. Its abandonment signals Tesla's retreat from in-house AI development in favour of external partners, which is hardly the mark of a company about to revolutionize automated driving.”

Is wrong. Colossus is not shutting down. FSD AI is not being outsourced. Tesla was iterating on two chips families the AI series and Dojo and they decided to ax Dojo and focus

By the way, look at the list of who does in-house AI chips designs. See any Auto OEMs there? Only the biggest tech/AI firms. Maybe GM and Ford are nothing like Tesla in important ways that you have not researched.

Maybe Elon Musk, who co-founded Open AI and then founded X.ai and took it from zero to the highest scoring AI chatbot in last than three years, might know something more about AI than Mary Barra. Things to think about.

(1) https://medium.com/%40frulouis/6-tech-giants-dominating-the-2025-semiconductor-ai-chip-race-b9b3dac7e498

(2) https://en.wikichip.org/wiki/tesla_%28car_company%29/fsd_chip

(3) https://www.autopilotreview.com/tesla-hardware-4-rolling-out-to-new-vehicles/

(4) https://techcrunch.com/2025/07/28/tesla-signs-16-5b-deal-with-samsung-to-make-ai-chips/

(5) https://www.teslarati.com/xai-tesla-megapack-colossus-2/

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Daniel Kligerman's avatar

While the financial fundamentals don't make sense, which has been the case to different degrees for a long time, there are two things you didn't mention that I think are important:

1) Elon's personality attracts top technical talent, and while his reputation elsewhere has diminished, I don't think that has impacts top talent still wanting to work for him. Moths to a flame.

2) The performance, technology, and user experience of Tesla's cars is top notch, including the Supercharging network. BYD and others may come close, or even match/exceed it at some point, but this still a major factor. And while FSD has some issues, having tested it every day for almost a year, I can say it's very good. The edge cases are being addressed quite rapidly, so we'll see if that continues.

I'm not saying the confluence of factors you've mentioned won't necessarily create a doom loop, but I believe these are non-trivial advantages in Tesla's favour.

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