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Tesla’s next-gen roadster to take spotlight on upcoming episode of Jay Leno’s Garage
The next-generation Tesla Roadster is coming to Jay Leno’s Garage for this Thursday’s upcoming episode. A preview of the all-electric supercar’s segment was teased on CNBC this Friday, which featured the iconic talk show host talking about the next-gen Roadster with Tesla’s Chief Designer Franz von Holzhausen.
This would not be the first time that the veteran talk show host would feature a Tesla in his show. Leno also did a pretty extensive segment on the Tesla Model S back in 2012, where he discussed the design, performance, and features of the electric family sedan. Franz von Holzhausen also joined the veteran talk show host then, providing a background on the development and capabilities of the Model S.
The next-generation Roadster is Tesla’s upcoming halo car, a vehicle designed to showcase the ultimate capabilities of the company. Elon Musk shocked the automotive world with the specs of the supercar when it was unveiled last year, with its 0-60 mph time of 1.9 seconds, top speed of over 250 mph, 200 kWh battery, and range of 620 miles per charge. Inasmuch as these figures are nothing short of insane, Musk mentioned during the unveiling, and in subsequent tweets over the past few months, that these specs were actually true of the next-gen Roadster’s base model. Considering that there will also be a “SpaceX option package” for the vehicle, there is a very good chance that the specs Tesla announced last year for the all-electric supercar were actually conservative.
The next-gen Roadster is expected to start production sometime in 2020, but Elon Musk has already been dropping some hints about the vehicle’s capabilities every so often. A recent interview with noted YouTube tech reviewer Marques Brownlee, better known as MKBHD, saw Elon Musk discussing several aspects of the Roadster, including its lack of side mirrors, its space, and its range. Musk even addressed the company’s Track Mode, which is set to make a debut on the Model 3 Performance.
One of the things that surprised people with the next-gen Roadster was its 200 kWh battery, particularly since its 620-mile range is pretty much unheard of in an electric car of its class. Even the Rimac C_Two, an upcoming all-electric hypercar that costs $2.1 million, is listed with a 400-mile range — roughly 35% less than the range of the next-gen Roadster. Musk noted in his interview that the next-gen Roadster’s 620-mile range could be accomplished even with the company’s current technology, though it would likely increase the volume of the Model S P100D’s battery pack by 80%.
More details about the next-gen Tesla Roadster would most likely be revealed in the upcoming episode of Jay Leno’s Garage, particularly since the veteran talk show host has been largely supportive of Tesla over the years. Back in 2016, Leno noted in a segment on CNBC that Americans should be supportive of the California-based company.
“We live in a world now where every year, you lose about 5% of the new car companies. In the mid-teens, there were 350 car companies in the United States. Every year since then, two or three of them dropped out. I mean, just in my lifetime, we’ve lost Oldsmobile, we’ve lost Pontiac, we’ve lost Saturn. There’s a whole bunch that just disappeared.
“So here comes a brand new car company, so that’s impressive. It’s a tough business to get into; and the fact that Tesla is making a go of it and quite successfully, I think is impressive and should be applauded. We’re becoming like the British — we like noble failures. I would watch, listen to these radio talk shows just tear Tesla apart; and I go, ‘Here’s a guy, building an American car in America, using American labor. Why are you not rooting for it to be successful? Why do you wish it would fail?’ I don’t quite understand.”
Watch a preview of the next-gen Roadster’s segment in the upcoming episode of Jay Leno’s Garage 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
