News
Lucid CEO shares thoughts on EV batteries, range, and Tesla’s 4680 battery cells
Lucid CEO Peter Rawlinson recently shared his thoughts about the electric vehicle industry, the battle for range supremacy, and rival Tesla’s efforts to develop and produce its own 4680 cells. According to the CEO, the range of electric vehicles may see some surprising trends in the distant future, and Tesla’s 4680 cells may not be as big of a breakthrough as initially expected.
Rawlinson’s recent comments were shared in an extensive interview with IEEE Spectrum. As a company, Lucid is known to work extremely hard to maximize the range in its vehicles, with the Air sedan, its first car, becoming the first electric vehicle that received an EPA rating above 500 miles per charge. Using the same 2170 cells that are powering vehicles like the Tesla Model 3 and the Rivian R1T, Lucid’s six Air sedan variants have seized the top six spots in the EPA’s range rankings.
The Lucid CEO is not a proponent of simply using more batteries to extend range, similar to what companies like GM are doing with the 350-mile Hummer EV’s 200 kWh battery or what Rivian seems to be doing with the ~400-mile R1T’s 180 kWh pack. As per IEEE, Rawlinson calls such strategies as “dumb range.” This was definitely something that Lucid avoided with the Air sedan, as the vehicle is able to achieve its class-leading 131 MPGe with a 118 kWh battery pack.
Interestingly enough, Rawlinson believes that while there is a battle for range in the electric vehicle sector today, this would likely not be the case in the future. With electric vehicles becoming more commonplace and affordable, and with home charging becoming the norm, the Lucid CEO believes that future electric vehicles may actually have less range. “Fifty or sixty years from now, EVs may actually have less range. Psychologically, there won’t be this sort of paranoia and dependence on a public supercharging network. And home charging is healthier for the battery, anyway,” the Lucid CEO said.
Rawlinson did not seem particularly convinced that some near-term battery breakthroughs are at hand. In the case of Tesla’s 4680 cells, for example, the Lucid CEO noted that he sees potential in the technology. But the upcoming batteries seem more like a triumph of packaging, not of chemistry, with its tightly packed jelly rolls that allow more active cell material vs its surrounding casting. Ultimately, Rawlinson noted that the idea of 4680 batteries being a huge breakthrough is a “fantasy.”
“I do think there’s an upside to going to large format. That would reduce internal resistance, and that’s a valuable step forward. But people are looking at 4680 as this huge breakthrough, and that’s a fantasy,” the Lucid CEO said.
Time would likely prove or disprove Rawlinson’s recent insights on the electric vehicle battery industry. Batteries are only getting better with time, for example, so there may eventually be a point where even extremely affordable electric cars could have range that’s comparable to premium EVs today. Tesla’s 4680 cells could also prove to be a difference-maker in manufacturing, as the cells are specifically designed to lower costs.
Ultimately, the 4680 cells may not necessarily be a silver bullet in the electric vehicle transition, but when they’re coupled with incremental improvements in battery chemistries, dry electrode technologies, structural battery concepts, and the use of megacastings, they could form the backbone for the next generation of mass-market vehicles that may very well take the world by storm. The next few years of Tesla’s growth, which would be represented by the rise of vehicles like the Cybertruck and the Semi, would likely determine just how much potential the 4680 cells really have.
Peter Rawlinson’s full insights from his interview with IEEE Spectrum could be accessed here.
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
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
