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Tesla’s sure-footed Model Y approach is the crossover market’s ultimate Trojan Horse
The future of the crossover market may have already started changing–the auto industry has just not realized it yet. Signs of this shift could be found beneath the surface of the Tesla Model Y, a crossover that represents the years of experience in vehicle making that the Silicon Valley-based company gained since it started building cars over a decade ago.
The Model Y could almost be described as Tesla’s most unassuming vehicle based on its exterior. Featuring a very similar design as the Model 3 and lacking the flashy features of the Model X, the Model Y looks very understated. This is one of the reasons why it was so easy for critics to dismiss the Model Y. Some, on account of the crossover’s Model 3-based design during its unveiling, even flat-out insisted that the Model Y does not exist.
The Model Y is currently undergoing a thorough teardown and analysis from automotive specialist Sandy Munro of Munro and Associates. The progress of the Model Y teardown has been incremental due to the ongoing pandemic, but the sections of the vehicle that have already undergone analysis all show one theme: the Model Y is the representation of Tesla’s refinements to its vehicle production process over the years, regardless of how minor they might be.
This could be seen in a comparison of the Model Y and the Model 3’s headliner. A look at the first-production Model 3’s headliner shows that Tesla seemed to have gone for a more traditional approach for the component, such as using glue to set specific parts in position. Tesla used a more unique injection-molded headliner for the Model Y, which eliminates the need for much of the glue used in the Model 3’s component. A hefty dose of Noise, Vibration, and Harshness (NVH) countermeasures were also found on the crossover. Overall, the Model Y shows a far more sure-footed Tesla, one that has solid experience in carmaking.
Elon Musk has noted on Twitter that teardown experts like Munro will likely find many pleasant surprises in the Model Y, and so far, this does seem to be the case. While the vehicle still has areas for improvement, the fact remains that the crossover, which is still in its first production, is already far more refined than its predecessor. From its novel Octovalve system to its use of rigid wiring that can be set by robots on a fully-automated line, the Model Y seems to be Tesla’s most forward-thinking vehicle yet. And this could make all the difference.
The Model Y is competing in the crossover segment, which is highly competitive but incredibly lucrative. Just like the pickup truck market, there are vehicles that have become legends in the crossover industry, from affordable entries such as the Toyota RAV4 to premium SUVs like the Porsche Macan. The Model Y is designed to compete in this market and offer potential customers a compelling alternative to tried and tested vehicles. Considering its price, its tech, and the fact that it seems to be designed very well, the Model Y will likely have more than a fighting chance to compete.
Tesla has a habit of making a vehicle that ends up becoming a Trojan horse of sorts. The Model 3 is one of these, as the car ended up disrupting the midsize premium sedan market to such a degree that sales of rivals like the BMW M3 have been decimated, despite critics largely dismissing Tesla in the lead up to its release. But unlike the Model 3’s first production units, even the Model Y’s first run already shows a certain degree of maturity in vehicle design and manufacturing. The Model Y will only get better with time as Tesla continues to refine little aspects of the vehicle, but even at its current state, the all-electric crossover is already something that is out of the ordinary.
And that is the biggest irony of all. Legacy automakers appear to have adopted a pretty dismissive approach to the Model Y. Save for Ford, which has unveiled the Mustang Mach-E, and Porsche, which has announced an all-electric Macan, the premium all-electric crossover market seems strangely open for domination. Just like with the Model 3, legacy auto appears to be all-too-willing to make way for the Model Y. And just as before, by the time competitors realize the all-electric crossover’s true potential, there is a very good chance that they will be late, just as the Model 3’s rivals like the BMW i4 are late today.
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
