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What does a Tesla Model S owner think of the Chevy Bolt? (Full review)
Southern California Tesla Model S owner Alex Venz was recently given 24-hour access to a Chevy Bolt with the stipulation that he not drive it more than 100 miles. After his time with the car was up, Alex put together a lengthy video that explores the Bolt and highlights some of its pluses and minuses.
For starters, Alex found the Bolt was somewhat smaller than the Nissan LEAF he used to own. He calls it larger than a Ford Fiesta but smaller than a Ford Focus. His first impression is that the seats are somewhat narrow. In fact, they measure about 17 inches wide. A quick check on his Model S finds those seats are about 20 inches wide, as are the seats in a Honda Accord he had access to. So the Bolt is a little tight when it comes to hip room.
Head room is another story. The Bolt has more front and rear head room than the Model S. Venz, who says he is 5′ 9″ finds he has almost no headroom in the back seat of his Model S but about 3 inches of clearance in the Bolt. Front headroom in the Bolt is about double what he has in his Model S.
Luggage capacity is also significantly greater in the Tesla. The Bolt can handle three moderate size carry on bags, but with little to no room left over. The rear seats of the Bolt do fold flat, however. Lenz says there’s not enough room to actually lie down in back with the seats folded, but there is enough room for lots of cargo if the rear seats aren’t needed for passengers.
The Bolt takes about 2 seconds more to get to 60 mph than Lenz’s Model S 70 but the time required is still around 7 seconds, which is fairly quick in comparison to most in-category cars with internal combustion engines. The quality of interior materials is adequate, Lenz finds, and he notes that the Bolt has fewer squeaks and rattles than his Model S.
Checking out the car’s controls, Venz found the Bolt comes up short when it comes to ease of operation. The touchscreen is customizable, but requires far more effort to drill down through the available menus than the Tesla does. The Bolt also has no built in navigation function for route planning or finding charging locations. Instead, Bolt drivers will have to rely on apps or the mapping functions provided by Apple Car Play or Android Auto. Neither map program is as fully featured as what Tesla offers.
Venz notes that CCS quick charging is a $750 option. Without it, the Bolt can only be charged at either 8 or 12 amps from a household outlet, or roughly 3 miles of range per hour of charge. Just as with the Chevy Volt, 8 amps is the default setting. The driver must manually select the 12 amp setting every time, which is tedious. The car also is programmed to do a 100% charge every time. There is no way to select a lesser charging level.
Update: In the comments to this post, several people took issue with Venz’s information on charging. This comes from GreenMonkeyPants: “Untrue. without the CSS option, there’s a standard J1772 that will charge at 32A @240V.” Further information may be obtained from the website Chevy EV Life.
The ride and handling of the Bolt are described as good. The car is responsive and nimble in a way the Model S, being considerably larger, is not. Venz does praise the regenerative braking feature built into the Bolt, which he says permits one pedal driving. The regen is available even with a full battery and can be boosted with a paddle mounted low and on the left side of the steering wheel.
Venz’s conclusion is that the Bolt is an excellent car for someone who will use it primarily for commuting. It has more than adequate range for most people, it is comfortable, and fun to drive. The seating position is higher than in the Model S and is more like what a driver would expect in a crossover SUV than a sedan. That’s a big plus for a lot of drivers.
On balance, Venz feels the Bolt is one of the best products to come from Chevrolet in quite some time. Comparing prices and functions with the Model S, the Bolt is a good car for the money and may actually be better suited to the way ordinary people drive on a daily basis than the Model S.
That’s not the whole story, of course. The real test will be how the Chevy Bolt stacks up against the Model 3. Most people expect the Tesla midsize car to be more refined and offer a higher level of technology than the Bolt. The Chevrolet product has lane keeping assist, blind spot warnings, and automatic emergency braking available but nothing similar to the Autosteer or TACC features available in the Tesla. The Model 3 will be capable of full autonomous driving; the Bolt is not. It will be interesting to see how the two cars compare when both are available to consumers.
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
