It’s no secret Tesla’s Plaid Model S is perhaps the most exciting product release in the automaker’s short and storied history. A revision of the company’s first passenger sedan, the Plaid Model S sports a completely redesigned interior and a body design similar to that of its predecessor, with a few improvements, of course. But the car has been spotted by a lucky few in the wild near snow, and now, Tesla is preparing that very same car to blister the asphalt in not only the Summer heat but also the snow in a Winter wonderland.
After initial sightings of the new Model S revealed the vehicle to be in Toledo, Ohio, one might wonder: Why would Tesla send a car from Sunny and warm Northern California to the cold and arid roads of Northern Ohio. A couple of indicators point to the company’s past release preparations of its other cars. For example, the Model Y and the unreleased Semi have been spotted in snowy terrains on numerous occasions. Both cars will be travelers in their own rights, one for passenger transport and the other for commercial use. However, they’re both applicable to wintery conditions, especially the Semi, which will likely trek from one end of the country to the other for some drivers. Simultaneously, the Model Y in its mass-market building strategy will be present in plenty of challenging terrains by its massive band of owners.
However, the Plaid Model S is a little bit different. The Model S will always hold a special place in Tesla’s hypothetical heart; we know it does in the most crucial organ of its CEO Elon Musk, who once said that Model S production continued for sentimental reasons. However, the Model S is undergoing a rebirth of sorts, and while it was spotted in Ohio for what is likely winter testing, Tesla dropped its own tidbit of information regarding the Model S Plaid and its performance in snowy terrains.
Plaid winter testing pic.twitter.com/Zau1dWZD2U
— Tesla (@Tesla) February 19, 2021
We know the Model S has been one of the fastest, sportiest, and for some (like me), the best looking EV out there. With over 400 miles of range in its Long Range variant and a speed of 1.9 seconds from 0-60 MPH for its Plaid+ configuration, the Model S is truly a car of all trades. For a long time, and especially to those who live in snowy climates, the ideal car in the snow is always just a four-wheel or all-wheel-drive powertrain, and if a choice is given, an SUV is certainly superior to a sedan. But the Model S is making moves to be the ultimate all-weather vehicle. And why not?
Driving down a sunny strip near the coast in the dead of summer sounds great, but the Model S is also capable of ripping up the snow and likely any other terrain it is confronted with. The Model S will always remain Tesla’s flagship vehicle, especially while it remains in production for the foreseeable future. But more than that, the consumer who purchases the all-electric powerhouse will now have a great opportunity to have even more robust, dominating, and unequivocal power through whatever scenario it is confronted with.
The Model S really is one of the most perfect and well-rounded cars available to consumers today. With Tesla showboating the new Model S Plaid’s capabilities in the snowy terrain of the video above, we know that the car will be ideal for anyone looking for power, performance, and pleasure any time of the year.
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
