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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.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
