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Tesla owner lifts Model Y in wicked off-road conversion
The Tesla Model Y is a quick and sleek crossover powered by an all-electric, but that doesn’t mean that the vehicle can’t handle rough and rugged trails in the mountains with the help of a lifted suspension and the company’s “Off-Road Assist” feature.
Brian Jenkins of the i1Tesla YouTube channel took his Model Y Performance into the North Carolina mountains to see if Tesla’s newest vehicle could handle the challenging terrain. Jenkins has made several modifications to his Model Y, which he refers to as the “Overlanding Build,” that would encourage the car to perform adequately in an off-road setting.
Jenkins installed a 4-inch suspension lift from Mountain Pass Performance to increase ground clearance, All-Season Toyo A/T III tires, aftermarket rims from TSW, and an Earthy-themed combat green wrap to his Model Y. With these modifications, he was ready to assess the capabilities of his electric crossover in a terrain.
Jenkins used 31-inch all-terrain tires from Toyo for increased confidence when maneuvering through the tough trails of the mountains. “These are probably the biggest tires you can put on a Tesla,” he said.
He also elaborated that the vehicle is not necessarily geared for off-roading, but more of an Overlanding style of driving. Overlanding describes a trip that requires traveling to remote destinations where journeying is the primary goal. Jenkins believes that the purpose of Overlanding captures his vehicle’s essence perfectly.
“That is what the Tesla is all about as far as going on trips. What better way to go off-road or into the wilderness than with a zero-emissions vehicle. Enjoy the adventure!”
To help the cause and test some of the Model Y’s unique features, Jenkins activated Tesla’s “Off-Road Assist” functionality, which improves traction and helps with overall improvements when driving on tricky terrains. The feature also works to balance the torque between and front and rear motors, which also increases traction during operation.
The Overlanding-geared Model Y encountered many tests during its session of driving. Steep hills covered with small rocks and small gullies that have damaged roadways were among the first terrain challenges that the all-electric crossover faced.
The steep terrain, nor the gulley managed to provide any challenges for Jenkins’ Model Y, as the vehicle was able to handle the deep divots in the road and the small rocks. Thanks to the upgrades that Jenkins made, combined with the confidence that the Off-Road assist feature provides, there was no issue with the electric car making its way through the problematic settings that it encountered.
Ultimately, Jenkins and his Tesla Model Y were able to climb the 3,400-foot mountain and reach the top. Along the way, the Model Y burned 38% battery, starting at 90% and reaching the peak at 52%. Thanks to Tesla’s regenerative braking system, the Model Y lost only 3% during the journey down the mountain.
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- Jenkins and his son after conquering the 2,900-foot ascension up the North Carolina mountains. (Credit: YouTube | i1Tesla)
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- The energy usage during Jenkins’ Model Y trip up the North Carolina mountains. (Credit: YouTube | i1Tesla)
The total trip was 100.7 miles, and the Model Y used 43 kWh of energy during its 3,800-foot journey up and back down of the North Carolina mountains.
The Model Y was geared toward offering a sustainable crossover SUV from Tesla that would take a chunk out of the most popular vehicle segment in the United States. However, it is more than a grocery getter or a car to take the kids to soccer practice because it is capable of handling tough off-road terrain with relative ease. The test from Jenkins shows the all-electric crossover can handle difficult stretches of road, while still offering efficiency and world-class performance.
Watch Jenkins’ full Model Y climb in the mountains of North Carolina 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.”
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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
