It’s no secret Tesla’s Plaid Model S is perhaps the most exciting product release in the automaker’s short and storied history. A revision of the company’s first passenger sedan, the Plaid Model S sports a completely redesigned interior and a body design similar to that of its predecessor, with a few improvements, of course. But the car has been spotted by a lucky few in the wild near snow, and now, Tesla is preparing that very same car to blister the asphalt in not only the Summer heat but also the snow in a Winter wonderland.
After initial sightings of the new Model S revealed the vehicle to be in Toledo, Ohio, one might wonder: Why would Tesla send a car from Sunny and warm Northern California to the cold and arid roads of Northern Ohio. A couple of indicators point to the company’s past release preparations of its other cars. For example, the Model Y and the unreleased Semi have been spotted in snowy terrains on numerous occasions. Both cars will be travelers in their own rights, one for passenger transport and the other for commercial use. However, they’re both applicable to wintery conditions, especially the Semi, which will likely trek from one end of the country to the other for some drivers. Simultaneously, the Model Y in its mass-market building strategy will be present in plenty of challenging terrains by its massive band of owners.
However, the Plaid Model S is a little bit different. The Model S will always hold a special place in Tesla’s hypothetical heart; we know it does in the most crucial organ of its CEO Elon Musk, who once said that Model S production continued for sentimental reasons. However, the Model S is undergoing a rebirth of sorts, and while it was spotted in Ohio for what is likely winter testing, Tesla dropped its own tidbit of information regarding the Model S Plaid and its performance in snowy terrains.
Plaid winter testing pic.twitter.com/Zau1dWZD2U
— Tesla (@Tesla) February 19, 2021
We know the Model S has been one of the fastest, sportiest, and for some (like me), the best looking EV out there. With over 400 miles of range in its Long Range variant and a speed of 1.9 seconds from 0-60 MPH for its Plaid+ configuration, the Model S is truly a car of all trades. For a long time, and especially to those who live in snowy climates, the ideal car in the snow is always just a four-wheel or all-wheel-drive powertrain, and if a choice is given, an SUV is certainly superior to a sedan. But the Model S is making moves to be the ultimate all-weather vehicle. And why not?
Driving down a sunny strip near the coast in the dead of summer sounds great, but the Model S is also capable of ripping up the snow and likely any other terrain it is confronted with. The Model S will always remain Tesla’s flagship vehicle, especially while it remains in production for the foreseeable future. But more than that, the consumer who purchases the all-electric powerhouse will now have a great opportunity to have even more robust, dominating, and unequivocal power through whatever scenario it is confronted with.
The Model S really is one of the most perfect and well-rounded cars available to consumers today. With Tesla showboating the new Model S Plaid’s capabilities in the snowy terrain of the video above, we know that the car will be ideal for anyone looking for power, performance, and pleasure any time of the year.
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.