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Tesla’s 4680 battery ramp may experience a “Death Valley” start, but it will be overcome: expert
To state that Tesla’s future lies in the success or failure of the 4680 battery is not an understatement. Without 4680 cells, Tesla’s efforts to create an affordable car at a price point beneath the Model 3 would likely be for naught. But if the company succeeds in ramping the production of its 4680 cells, Tesla could very well pave the way for electric vehicles to become the dominant form of personal transportation in the decades to come.
Getting there would not be easy. Tesla formally announced its 4680 battery project in September 2020, and since then, the company has been working hard to ramp the production of the next-generation cell. Tesla produced its one millionth 4680 cell in January. That’s a milestone on its own, but it does show that the company still has a long way to go before it can fully ramp its new battery.
Industry researcher Benchmark Mineral Intelligence estimates that one million 4680 cells are enough for just about 1,200 Model Ys. Tesla intends to produce far more than that per week in Gigafactory Texas alone.
Tesla’s 4680 cells are not designed like conventional batteries, and they are not made like traditional cells either. Tesla plans to use a new manufacturing technology called dry electrode coating, which was obtained from the company’s acquisition of Maxwell Technologies in 2019. Dry electrode manufacturing would allow Tesla to skip a conventional step in traditional battery production, which should lower costs significantly.
While Tesla acquired the technology, the innovations involved in the mass-production of 4680 cells using dry electrode coating are a massive challenge. Elon Musk has noted that the factory equipment for the process alone “doesn’t exist,” so they still have to be made.
Shirley Meng, a University of Chicago professor who previously worked with Maxwell, noted that Tesla’s 4680 battery efforts could change the industry. She also emphasized that Tesla’s challenges in mass-producing the next-generation battery would be immense. “He (Elon Musk) is changing the way how battery manufacturing is done. It’s really, really difficult to manufacture at a speed and at scale,” she said. She also stated that Tesla may have to experience a “Death Valley” start to scaling up the dry electrode process for 4680 cells.
She does, however, believe that Tesla would overcome these difficulties.
Other experts and longtime followers of the company seem to agree on the difficulty involved in developing and ramping a new type of battery cell. Caspar Rawles, chief data officer at Benchmark Mineral Intelligence, noted that fine-tuning the production equipment for battery production alone is an extremely long process, and one that challenges even the industry’s veterans. “There’s a very long process of fine-tuning the equipment before you can get to volume production. Battery production is hard, even hard for experienced suppliers,” he said.
This definitely seems to be the case with Panasonic. The Japanese tech conglomerate has been a longtime partner of Tesla, and it already operates Gigafactory Nevada with the EV maker. However, recent comments from Kazuo Tadanobu, the CEO of Panasonic’s energy division, revealed that even Panasonic had to take its time to develop its 4680 batteries. Tadanobu noted that Tesla has already deemed Panasonic’s 4680 cells viable for use, but mass production of the new batteries is still expected to start by the fiscal year ending in March 2024.
Tesla’s 4680 cells are expected to be used in vehicles like the Tesla Semi, the Cybertruck, and the company’s flagship supercar, the new Roadster. The next-generation batteries are also expected to be utilized in Tesla’s next big project, the production of an affordable $25,000 electric car.
*Quotes courtesy of Reuters.
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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.”
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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
