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Tesla Model Y gets the full ‘Jay Leno’s Garage’ treatment: ‘It is fun, and it is addictive’
Devoted automotive enthusiast and outspoken Tesla fan Jay Leno got his hands on the Model Y Performance, the electric automaker’s newest crossover. Leno, a retired late-night talk show host, has had a long history of dealing with some of the world’s most impressive and famous cars. From a man whose car collection is worth an estimated $52 million, Leno has seen it all, which makes him an ideal candidate to give an honest and legitimate review of the Model Y.
Leno has a storied history with Tesla vehicles. After coming into contact with the first-ever production model of the Tesla Roadster in 2008, which Elon Musk delivered himself, Leno has owned a 2012 Model S and has also gotten firsthand looks at the Cybertruck and the Next-Gen Roadster.
The Model Y is different, though. It is Tesla’s second “mass-market” vehicle behind the Model 3, and it is expected to be the company’s most popular vehicle. Leno’s thoughts on the car, and his test of the Performance variant’s instant torque, gave plenty of insight for anyone walking the hypothetical tightrope between buying the vehicle and holding off.
Undoubtedly one of Leno’s favorite parts of the Model Y, which also applies to any Tesla vehicle, is the fact that the car is primarily locally sourced. “I like American-made stuff,” he said. While recognizing that Tesla employees do not make some of the car’s parts, the vast majority of the vehicle is. The seats, for example, are manufactured at a facility just a few miles away from where the cars are made in Northern California.
Versatility
Leno’s analysis sheds light on the fact that the car is perfect for the “young family.” The speed, particularly in the Performance variant, is excellent for those who want to have some fun while going from Point A to Point B. Meanwhile, the spacious trunk and fold-down rear seats would adequately pack a canoe, kayak, or simply give the kids enough room to make it to soccer practice comfortably. Leno even states that the Model Y could be the perfect place to sleep in an emergency.

Heat Pump
The heat pump that Tesla included in the Model Y was all the buzz in early-2020. Leno mentions that the efficiency of a heat pump highlights and compliments the efficiency of the vehicle overall, citing the system’s past uses in other cars. The system was included to help with range loss in cold climates, which was an issue with owners who dealt with long, harsh winters while driving their electric cars.

Interior
Despite recent reports from Edmunds that have stated Tesla’s minimalistic interior design is dangerous and inconvenient, Leno is a fan of what the Model Y looks like from the inside. From the wireless charging to the wood grain dash panel, Leno is in favor of Tesla’s design. It has certainly made the past interior designs of luxury vehicles look more intimidating than they are. Still, a large screen and a couple of steering wheel buttons are self-explanatory, and Leno enjoys it.

Performance
Leno admits that the Y feels a lot like his 2012 Model S, but the Y gives a slightly different experience considering its shape and center of gravity. The build of the car certainly doesn’t take away from the Performance. “You get the speed of a muscle car, with all the load-carrying capacity of a crossover. It’s a very eminently practical vehicle, and it’s fast,” Leno said. “It is fun, and it is addictive.”

Final Thoughts
Leno is a fan of Tesla, and the Model Y is just another vehicle that he loves. He stated that even though he likes the all-electric crossover, “I’m gonna wait for one of those Roadsters.” Leno does not have any children or grandchildren to haul around, and while he loves the sustainable aspect of Tesla, he has no use for an electric crossover. His Model S is still his daily driver because he believes the environmental impact is crucial and practical, and it fits him and his wife comfortably and in sleek style.
Watch Jay Leno’s extensive review of the Tesla Model Y 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.”
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.