Tesla owners are no stranger to aftermarket modifications. Whether they are performance-based or cosmetic, owners of the electric vehicles are always looking for ways to set their cars apart from the others. While the cosmetic modifications are usually pretty simple because they only change the appearance of a vehicle, the performance adjustments are a bit more complicated because they completely revise the way the system operates. Tesla decided to put a stop to the performance revisions altogether by releasing a software update that would inhibit the simple plug-in systems from functioning correctly.
Thinking about it, it reminded me of a previous newsletter that I wrote a few months ago. I talked about how Tesla was blocking salvaged vehicles from Supercharging in an attempt to make them less appealing to those who were interested in buying them and fixing them up for a discounted price. While it was a great project for some people, Tesla had to realize that salvaged vehicles are rarely fixed “perfectly” and that they usually have some small issues even after they are deemed to be functional. Tesla had to think about themselves first, and for a good reason. If someone were to crash a salvaged Tesla that was not wholly “fixed,” it would be blamed on them and not on the person who attempted to repair the vehicle. The headlines would blame the company, and it would add to a long list of misunderstandings with Tesla’s cars. It was merely smarter for them to try and make the vehicles less appealing through no Supercharging.
Tesla, when you think about it, really had to do the same thing with these aftermarket upgrades. While the company released a $2,000 Acceleration Boost for the Model 3 a few months back, they have ultimate control over what the vehicle’s new capabilities are. They decide how much extra horsepower to give the car, and how much speed the car should be capable of. This puts the risk into the company’s hands as much as the driver’s hands.
If a third-party company comes along and decides to manufacture a simple plug-in that will take the performance of a Tesla to new heights, it is sure to attract some buyers. Owners of the Performance variants of the car are surely going to be more interested in upping the already lightning-fast speeds the vehicle is capable of. While this is all good and fun for the owners, Tesla, as a company, assumes a lot of risks, and it is only reasonable to think that stopping it is the best strategy.
Think about a scenario here: Imagine a Tesla Model 3 Performance owner deciding that what their car is capable of is not enough anymore. They decide to go online and purchase a plug-in for their Model 3 that will increase acceleration and top speed, and they choose to put it to the test one evening. While traveling at speeds over 130 MPH, the driver loses control of the car and crashes into another vehicle, hurting someone in the car.
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The first thing that is synonymous with Teslas and car accidents is the overwhelming flood of people who immediately think the car was on Autopilot. Mainstream media outlets will talk about how the car could have been traveling on Autopilot and TSLAQ will immediately eat it up without any confirmation. The NHTSA would be the only agency that would be able to tell if the car was traveling on Autopilot through an investigation. However, that could take days, weeks, or even months to happen.
Then, you’d have some people complaining about Tesla’s performance standards, and why some of their cars equip unnecessary amounts of speed and acceleration. Not that it is anyone’s business, but when someone buys a car because it is fast, they more than likely know that they are putting themselves at risk, especially if they chose to drive it quickly. This argument would more than likely be small and not based off of much logic, to begin with, because fast cars exist everywhere and every car company makes them in some form or another.
However, Tesla would have to deal with the issues and speculation that would suggest that their cars are too fast for the owner’s good. The company is already under a microscope because every time a Tesla is in an accident, it seems like someone somewhere is talking about it.
These aftermarket plug-ins are also tricky because while the company that makes them probably knows what they are capable of, they are not entirely “compatible” with a Tesla powertrain to begin with. Only Tesla knows everything that goes into their cars and the software that helps them function. There really isn’t much of a reason to gamble on ruining the powertrain of a Tesla all for a few extra miles per hour, but that is just me. I would think that it is too much of a risk, and I wouldn’t want my hard-earned money going to waste, especially if a plug-in can compromise the way my vehicle works.
I think the update to keep these plug-ins from functioning is entirely understandable. Tesla is playing damage control. Ultimately, anything that happens to malfunction on the plug-in, or if the driver were to make an error and it would result in an accident, the blame would go onto Tesla.
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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
