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Tesla Model Y ‘off-road’ assist test bodes well for Cybertruck’s overlanding abilities
The Model Y is pretty unique in the way that it is the only Tesla today with a dedicated “Off-Road Assist” mode. This feature, despite being more of a side function for the Model Y, bodes very well for the Cybertruck’s off-road and overlanding capabilities.
The Tesla Model Y’s design gives the impression that the vehicle is designed for the city, and this is no more emphasized in the Performance variant, which sits low on the ground with large 21″ Überturbine Wheels. The Model Y Performance is built for quickness and handling, but if a recent video is any indication, even such a vehicle can hint at some of Tesla’s off-road tech that is currently in development.
The Out of Spec Motoring group recently managed to get their hands on a brand new Model Y Performance, thanks to owner-enthusiast Brian of the i1Tesla YouTube channel. The motoring group tested the Model Y’s track capabilities, and they came away impressed at the vehicle’s driving dynamics. But in a recent tweet, the group also demonstrated how Tesla’s Off-Road Assist feature worked on the Model Y.
The test was brief, and the location of the run was only the uneven, grassy outskirts of the North Carolina Center for Automotive Research track. But even in the quick test, it was evident that the Model Y’s “off-road” assist feature performed quite a bit better than the AWD systems used by Tesla in its previous vehicles, like the Model X and the Dual Motor Model 3.
The group, for one, opted to check how the Model Y handles a situation where some of its tires are off the ground, compromising its traction. Based on the short clip, the all-electric crossover did not seem to have any problems sending power to the correct wheels. This allowed the Model Y to navigate the uneven terrain without any difficulty.
While critics would be quick to point out that Out of Spec Motoring‘s Model Y off-road test only provided a slight strain on the all-electric crossover’s systems, it should be noted that the vehicle will likely provide Tesla with valuable data that could then be used for the company’s upcoming vehicles like the Cybertruck.
Unlike the Model Y, the Cybertruck is designed as a true rough-and-tough vehicle, and it would require a dedicated off-road assist feature that’s enough to match or perhaps even shame industry leaders such as Jeep and land Rover. This is especially true if Tesla were to target the overlanding market, a community of buyers that prioritize vehicles that can handle the elements for extended periods of time.
The Model Y’s Off-Road Assist feature will likely be used for the most part to traverse terrain much like the one used by Out of Spec Motoring in its brief test. Yet the feature could very well turn out to be the next Track Mode, a capability that will likely allow the company’s flagship vehicles to dominate on the closed circuit when they get released. While the Model 3’s Track Mode would likely enable the next-gen Roadster to outclass other supercars, the Model Y’s off-road assist would likely pave the way for the Cybertruck’s disruption of the pickup truck market.
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
