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Chevy’s big US win bodes well for the Tesla Model Y’s potential domination
The United States’ auto market may be reeling hard due to the ongoing pandemic, but there are still vehicles that are proving successful even in these trying times. One of these is the 2021 Chevy Trailblazer, which currently stands as the country’s fastest-selling new car. These results, especially considering the ongoing outbreak, bodes well for the Tesla Model Y and its potential domination of the premium crossover market.
According to a recent study from car search engine iSeeCars.com, the 2021 Chevy Trailblazer is the United States’ fastest-selling new car, spending only an average of 19 days on dealer lots before being sold. This is extremely impressive, especially considering that the study revealed that the average new car spends a whopping 97 days for sale before being bought.
In a way, the 2021 Chevy Trailblazer’s impressive rankings among the United States’ new car sales suggest that the crossover SUV market is alive and well, even in the midst of a pandemic. The 2021 Trailblazer, after all, is a subcompact SUV that represents pretty much what is expected of the crossover segment. It’s reasonably priced, practical, and it has a pretty hefty amount of features. These are things that the Model Y also excels in, albeit at a more premium price point.
The Tesla Model Y is arguably the electric car maker’s most bang-for-your-buck vehicle so far, being priced close to the Model 3 yet featuring utility that’s closer to the far more expensive Model X. Considering that crossovers remain popular, it appears that the Model Y could still find a good foothold in the US this year. This could benefit Tesla, especially since the Model Y already proved profitable in its first quarter of production despite the vehicle not being fully ramped. Tesla CFO Zachary Kirkhorn discussed this in the company’s Q2 2020 earnings call.
“Model Y, as we mentioned last quarter, was profitable in its first quarter of production. And despite the inefficiencies that we had due to the shutdown, we did see a pretty substantial improvement in the Model Y margin. And as we said before, the Model Y cost structure and Model 3 cost structure will converge. They’re not quite there. Model Y is still slightly more expensive than Model 3, and it’s not yet at full production. And with Model Y carrying a slightly higher price point, you can kind of back into the math there on the relative gross margins,” he said.
One thing that truly bodes well for the Model Y’s chances in the US’ new auto market is the fact that it is arguably one of the best premium crossovers in the market today, electric or otherwise. The vehicle has seen stellar reviews from noted veterans such as teardowns specialist Sandy Munro, and though the Model Y still has several areas of improvement, it appears that the crossover is well on its way to joining its sibling, the Model 3, as one of Tesla’s best-selling electric cars.
The Model 3, after all, has met its own set of doubters during its initial release, with Tesla critics insisting that the vehicle will not find a foothold in the midsize sedan market. Despite this, Model 3 demand proved stable enough that the vehicle practically dominated Tesla’s sales numbers in previous years, all the while beating cars like the BMW M3 in the US. Part of this is likely due to the Model 3’s uniqueness in the market. After all, very few vehicles could offer as much tech and performance at its price point. The same will likely be true for the Model Y.
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.