Some would say that the Tesla Model 3 has opened doors for the EV industry in the mainstream passenger car market. To an experienced professional driver like John Chambers, the Tesla Model 3 might be more than just a good passenger car.
“I do think, if you want to take a car on track, I think the Model 3 is the best car,” Tevo Solutions founder John Chambers told Teslarati.
Chambers explained that the size of the Model 3 was a good fit for the track. “Because the Model 3 now is easily the match of any car of that size when we take it on track. There’s nothing that could stay with it,” he said. And that’s including gas or petrol cars.
Chambers is a long-time car enthusiast who can remember the days when there were no track barriers between the spectators and the cars on the racecourse. He’s been behind the wheel of some successful track runs, under the hood optimizing race cars, and even mentored the next generation of racers throughout his career thus far. Now, he wants to help people understand Tesla and other EVs better, too.
He is excited to see a Model 3 with a Taycan on the track during Tevo Solutions’ EV-only track day at the Llandow Circuit in the United Kingdom. Chambers believes it would be an excellent chance to compare the two EVs along with the opportunity to see and experience other electric vehicles, too.
Although, he did distinguish that a track day in the UK is not competitive. It is a day for drivers to learn more about their vehicles and learn slightly more advanced driving skills.
As more car owners transition to electric cars, events like Tevo Solutions’ track day may become common in the automotive industry. Rivian, for instance, plans to hold a 4-month Demonstration Driving Program for new R1T owners so they can familiarize themselves with their new electric pickup truck.
The EV-only track day, scheduled for August 18, 2021, was exclusively created with electric vehicle owners in mind. As per Tevo Solutions’ press release: “Hybrids, PHEVs, and vehicles with range extenders will not be accepted.”
In his talk with Teslarati, Chambers shared that not many tracks or organizers in the UK would consider opening their tracks to EVs, let alone hold an EV-only track day.
“When I got my Model 3 [Performance], there was nothing I could enter that was competitive. At the time, the rules didn’t allow EVs because they were still worried about fire and safety,” he said.
As with many things related to Tesla, there have been some forms of FUD (fear, uncertainty, or doubt) about Tesla vehicles or electric cars in the UK. But Chambers believes the country is overcoming the FUD surrounding EVs or, at least, more people are trying to understand electric vehicles better.
As for Chambers, he ended up joining non-competitive track days, which most Tesla owners participated in at the time. “But there was no track or organizer that was going to do an EV-only day. And, I thought, it’s the obvious next step. But nobody decided to do it, so I decided I’d do it myself.”
TEVO Solutions is working with a list of top-class driving instructors for the event, including a coach responsible for training drivers seen in popular car scenes in films including Mission Impossible and some James Bond movies.
Tesla Model 3 SR Plus sold out in UK for Q2 despite zero EV purchase incentives
Tevo will inform event participants of charging locations near the Llandow Circuit. The company is also trying to bring portable chargers into the track grounds for more convenient charging. Chambers noted that charging is one of the stopgaps that make circuits hesitant about organizing an EV track day.
Chambers hopes that the event will be inclusive. At the time of the interview, he shared that at least two Taycans, a VW Golf-e, and possibly even a VW Beetle converted to electric would be coming to the event. So when Tevo Solutions said all EVs are invited, it really meant all electric vehicles.
Learn more about the UK’s first-ever EV-only track day, here.
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
