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Tesla Roadster performance specs are actual and not theoretical, says test driver
Emile Bouret, the man behind the wheel of the next-gen Roadster during the vehicle’s test drives last November, recently called on all car enthusiasts to support the upcoming all-electric supercar. According to the veteran test driver, vehicles like the next-generation Roadster have the potential to make the automotive world a “better place,” considering that it would likely trigger a race to make cars that are even more impressive.
Bouret has worked with Tesla since the company’s early days. A close friend of Tesla chief designer Franz von Holzhausen and a 28-year veteran of the auto industry, Bouret has been asked to test drive the electric car makers’ vehicles from the original Tesla Roadster and the Model S. During his interview with YouTube’s VINwiki channel, Bouret admitted that he does not really understand the hate being directed towards the next-gen Tesla Roadster.
“I love that I live in a world where all these cars exist. You have Koenigseggs and Paganis and Ferraris and Lamborghinis and McLarens and Porsches and Rimacs and Teslas. So, I know there’s a lot of hate out there, but I just don’t understand it. If you’re a car person, wouldn’t you root for everybody? I’m definitely rooting for them because the world will be a better place if that car does get built and it gets on the road, because other people are gonna build cars to beat it — and we’re gonna win.”
The next-generation Tesla Roadster gave the auto industry a massive surprise when Elon Musk unveiled the vehicle last November. The all-electric supercar’s claimed specs, after all, including its 0-60 mph time of 1.9 seconds, it’s quarter-mile time of 8.8 seconds, and its range of 620 miles per charge, have caused some controversy among conventional car enthusiasts. Among the most prominent points of skepticism include speed limitations because of the vehicle’s tires, as well as battery technology that is yet to be attained.
Tesla, however, has assured that the specs announced for the next-gen Roadster are actually conservative. According to Bouret, the upcoming all-electric supercar’s figures related by Elon Musk were not theoretical. They were the actual numbers that their tests have shown.
“Those aren’t theoretical. Those aren’t calculations. We’ve done those numbers. And I probably shouldn’t say that those numbers are even conservative, but they are. That thing is going to be a proper weapon,” he said.
The pervading doubts cast on the next-generation Tesla Roadster’s speed and range are understandable, considering that no other vehicle on the road today boasts comparable specs and performance. Over the past few months, however, Tesla has been dropping hints that the company does have all the necessary resources it needs to attain, or even surpass, the vehicle’s specs that were announced last November.
A white next-gen Tesla Roadster makes an appearance during the 2018 annual shareholders meeting. [Credit: Dennis Pascual/Twitter]
Just last month, for example, Elon Musk openly discussed the idea of using some of SpaceX’s technology to augment the performance capabilities of the next-generation Tesla Roadster. According to Musk, the upcoming supercar would use Composite Overwrapped Pressure Vessels (COPV), which are used by SpaceX’s Falcon rockets during re-entry and landing, to help the car’s acceleration and maneuverability. As we noted in a previous report, the seemingly outlandish idea is actually feasible.
As for the next-gen Roadster’s battery technology, Tesla CTO JB Straubel discussed it best during the company’s Q1 2018 earnings call. While addressing a question about the Tesla Semi’s range, Straubel noted that much of the doubts behind the company’s estimated range for its vehicles comes from a misunderstanding of the company’s battery tech.
“I think the key point is that it doesn’t require a dramatic breakthrough. So there’s a fundamental misunderstanding, I think, of what the current technology in our existing products can actually do. If they’re benchmarking sort of the best battery pack they can buy from a supplier, and then mapping that with what the Semi could do, it doesn’t solve. I think that’s maybe where most of it is coming from, but we basically have what we need in-house, and understand how to do those specs today,” Straubel said.
The next-generation Tesla Roadster is expected to enter production sometime in 2020. Test drives for the vehicle are expected to begin late next year.
Watch Emile Bouret’s discussion of the next-generation Tesla Roadster in the video below.
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
