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Tesla Cybertruck’s ‘simple’ design goes way deeper than you think
Elon Musk’s Cybertruck is Tesla’s boldest vehicle yet. With its sharp edges and its unapologetically futuristic look, the Cybertruck appears to be a vehicle that is designed to shock and polarize. Yet, behind its almost brutalist exterior lies a clever theme that gives the Cybertruck the potential to be Tesla’s most disruptive vehicle to date, mainly due to its production efficiencies that are tied to its very exoskeleton.
When Tesla unveiled the Cybertruck on Thursday night, a good number of netizens and those who were in attendance at the event were shocked. The massive vehicle was clad in cold, hard, unpainted stainless steel, and its sharp triangular design makes it look extremely different from every other pickup truck on the market. Elon Musk has been saying that the Cybertruck will be polarizing, and it definitely was.
Unlike Tesla’s other vehicles like the Model S, X, and Model 3, the Cybertruck uses an exoskeleton that is made from a new variant of 3000 series stainless steel that’s cold-worked several times. The material is tough and is not unlike the steel used in SpaceX’s gigantic Starship. With this system in place, Tesla is able to skip the traditional stamping process for the vehicle’s body panels. Instead, the Cybertruck’s frame will be laser cut and folded, much like an origami that’s made of steel.
And just like actual Japanese origami, the Cybertruck’s stainless steel body is actually folded into shape instead of being cut up into several pieces and stamped multiple times by massive machines, according to an exclusive look into the vehicle by MotorTrend. Considering that the stamping process is very capital intensive (stamping machines are among the largest and most expensive components of a car factory), Tesla’s origami-style design for the Cybertruck becomes a very cost-effective way to produce a massive, durable, futuristic vehicle at relatively low cost.
Elon Musk recently elaborated on this in a recent tweet, stating that the Cybertruck’s 3mm-thick stainless steel exoskeleton is not very friendly to stamping machines. “Reason Cybertruck is so planar is that you can’t stamp ultra-hard 30X steel, because it breaks the stamping press,” Musk wrote.
Using stainless steel also allows Tesla to skip out on the painting of the vehicle, allowing the company to not use a paint shop in the vehicle’s production process. This results in further savings, while also avoiding the paint headaches that Tesla had to deal with when it ramped its previous vehicles, particularly the Model 3.
The absence of the stamping press and the paint shop in the Cybertruck’s production has another advantage, in the way that the vehicle’s production line could probably be done in a relatively small area. Without giant stamping presses and an expansive paint shop, after all, Tesla could produce the Cybertruck in an assembly line that is designed for speed.
The EV community was shocked by the starting price of the Cybertruck just as much as it was shocked by the vehicle’s design. Starting at $39,990, the base Cybertruck is very competitively priced and is chock full of tech that its competitors simply cannot hold a candle to. Couple this with a design that is optimized for efficiency, and the vehicle could very well be a disruptor on its own right in the highly-competitive pickup truck segment.
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.