The California state legislature passed a bill today that would make it illegal for Tesla to label its software Full Self-Driving (FSD). The bill was inspired by the California Department of Motor Vehicle’s claim that Tesla’s FSD is “false advertising.”
The DMV would revoke Tesla’s license to make and sell EVs in the state if it got its way and said that Tesla would be “required to advertise to consumers and better educate Tesla drivers about the capabilities of its ‘Autopilot’ and ‘Full Self-Driving’ features, including cautionary warnings regarding the limitations of the features, and for other actions as appropriate given the violations.”
In other words, Tesla would have to pay for traditional advertising for its products to please the DMV. The DMV is conducting a review and Tesla plans to fight back. Tesla asked for a hearing to present its defense but the state legislator has lost patience so it decided to try to make the DMV’s rule a new state law.
The bill was sponsored by Senate Transportation Committee Chair Lena Gonzalez and passed by the Senate. The next step is for Governor Gavin Newsom to either sign it into law or veto it. Gonzalez said that Tesla’s false advertising of its technology is a safety issue and told the LA Times that she and her fellow legislators were puzzled at the DMV’s slow response to Tesla’s claims.
It should be noted that Tesla has never said FSD was fully autonomous and requires drivers to be alert and ready to take over at all times when engaging either FSD or Autopilot. For FSD Beta testers, Tesla has a strike system that will kick out a beta tester for unsafe driving once they reach five strikes.
“Are we just going to wait for another person to be killed in California?” Gonzalez said.
My 2.5¢
Correct
— Elon Musk (@elonmusk) January 16, 2022
I think that Gonzalez is exaggerating, with her question. Clearly, Tesla is not responsible for all of the deaths in California.
So far, there haven’t been any deaths as a result of FSD and although the National Highway Safety Transporation Administration is investigating several accidents involving Tesla and Autopilot, those investigations are still ongoing.
So unless the NHTSA comes out and says, “Hey Tesla actually did kill those people,” Gonzalez can not say that Tesla was responsible for those deaths. I mean, she can but it wouldn’t be true.
Also, this whole thing started with the DMV wanting Tesla to traditionally advertise its products and services. If this becomes state law, would Tesla have to traditionally advertise in the state of California to be able to make and sell its vehicles in the state? Or would the lawmakers require a name change?
F*ck Elon Musk.
— Lorena Gonzalez (@LorenaSGonzalez) May 10, 2020
Perhaps California is tired of Tesla and the prosperity that Tesla has brought to the state. Perhaps the state doesn’t want Tesla to be a job provider there.
This isn’t a safety issue, but an issue, I think, where the politicians hate Elon Musk and are letting their bias get in the way. And when politicians make decisions, it’s the people who have to suffer the consequences.
If Tesla were to decide to leave California altogether, it would hurt the state’s economy and Tesla’s employees living in the state. I don’t think Tesla would actually do that but it might, especially if it’s banned from selling cars because the state doesn’t like the name FSD.
Also, Elon could just rebrand it to not-FSD or not-FSD-yet.
Note: Johnna is a Tesla shareholder and supports its mission.
Your feedback is important. If you have any comments, or concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
