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Opinion: Tesla Model S Plaid’s ‘packaging symphony’ shows need for a flagship design update
When rumors of the Tesla Model S Plaid started emerging, many were excited to see the company’s new flagship sedan. It takes something special, after all, to dethrone the Model S “Raven” Performance, a vehicle that is already capable of humbling supercars on the quarter-mile. But while the specs of the Plaid definitely did not disappoint, one could not deny that the car’s exterior left much to be desired.
The Tesla Model S Plaid, to put it bluntly, looks very similar to the Model S “Raven” Performance. Save for a slightly wider stance and some updated accents here and there, the car looks nearly identical to its predecessor. This was something that Tesla critics immediately pounced on, and it was something that could have been avoided. The Model S Plaid, after all, is a revolutionary car in its own right. Its ongoing teardown continues to prove it.

A “Packaging Symphony”
Auto veteran Sandy Munro of Munro & Associates is currently in the process of tearing down and analyzing every aspect of the Model S Plaid, and so far, the expert has been impressed with the vehicle. A recent video posted on the Munro Live YouTube channel showcased the Model S Plaid’s rear motor assembly, and as per one of the team’s experts, the vehicle’s rear cradle and electric drive module are nothing short of a “packaging symphony.”
The Munro team’s thoughts on the Model S Plaid were unsurprising, considering that the vehicle is filled to the brim with new innovation. The team even concluded in its rear cradle review that compared to its predecessors, the Model S Plaid is really a new generation vehicle. And in a lot of ways, the car does show it. Its specs are on a completely different level compared to the numbers achieved by the Model S “Raven” Performance, and the Plaid’s interior is fully revamped as well.
Considering that the Model S Plaid is also a completely different car beneath the hood, one could find it unfortunate that Tesla opted to package all this innovation in a body that, while now iconic, is getting a little bit long in the tooth. This is not to say that the Model S’ look is no longer attractive, of course. The Model S is still a beautiful car and its lines are now timeless, but it’s hard to shake the idea that for a vehicle like the Plaid, it would have been better if Tesla implemented just as much updates in the vehicle’s exterior as it did with the car’s interior.
Missed Opportunities
This is especially strange since, in the months leading up to the Model S Plaid’s official release, the internet was abuzz with fan renders of what the updated vehicle could look like. Some were radical, but most were subtle enough that they would not look out of place in Tesla’s lineup. Very few could have predicted the vehicle’s actual design, however, as the Plaid was pretty much identical to the Model S “Raven” Performance.
There is no doubt that the sheer engineering involved in the Model S Plaid’s creation is absolutely insane. Every square inch of the car’s interior and everything behind the hood of the vehicle proves this. It’s just a bit surprising — if not a tad bit disappointing — that Tesla opted to simply maintain the status quo with the vehicle’s exterior, which is something that the company rarely does. Tesla made a name for itself as an automaker that does what it thinks is best, after all, regardless of what the rest of the auto sector thinks. The Cybertruck’s brutalist XY design is an example of that.
Even in a company like Tesla, with a mission as important as those outlined by CEO Elon Musk, it does not hurt to put extra effort in packaging the company’s most formidable vehicles in a body that looks the part. Tesla already did that with the next-generation Roadster, and there is no reason why the company could not do that for its flagship sedan and SUV. The Model S and Model X Plaid would likely be successful in their respective segments — their specs and performance are just that good — but just imagine how much more successful the vehicles could be if their exteriors were redone as much as their interior and tech.
Watch Munro Live‘s teardown of the Model S Plaid’s rear cradle and electric drive module in the video below.
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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.