News
Tesla Model 3 Performance nails consistent 3.3 second 0-60 mph runs in back-to-back tests
Tesla lists its Dual Motor Model 3 Performance with a 0-60 mph time of 3.5 seconds, but as acceleration tests of the car seem to suggest, the vehicle is actually faster than Tesla’s estimates. This was demonstrated recently by Tesla owner-enthusiast Erik Strait, better known as the host of YouTube’s DÆrik channel, as he performed back-to-back acceleration tests of the Model 3 Performance using a VBOX data logger.
The first VBOX stats of the Model 3 Performance’s 0-60 mph time was posted recently, but no video of the actual run was taken as per request of the car’s owner. A brief 0-60 run recorded with Dragy was posted a few days ago, but the vehicle in that video was equipped with Aero Wheels, which are optimized for range, not performance. Erik’s test was quite a bit different since the Model 3 Performance he drove was equipped with 20″ Performance Wheels and Michelin Pilot Sport 4S summer tires, which are part of Tesla’s $5,000 Performance Package.
Consistent with VBOX data shared by fellow Tesla owner-enthusiast Eli of My Tesla Adventure, DÆrik‘s acceleration test featured a consistent 0-60 mph time of 3.3 seconds. That’s 0.2 seconds faster than Tesla’s official performance listings for the vehicle.
A 3.3-second 0-60 mph time for the Model 3 Performance was actually teased by Elon Musk on Twitter, with the CEO stating that the electric car could have better acceleration if it gets fitted with stickier and thicker tires at the rear. Musk noted that thicker rear tires for the Model 3 Performance would make it possible to lower the vehicle’s 0-60 mph time to just 3.3 seconds. Erik’s recently uploaded video on YouTube is proof that 3.3 seconds is possible even when the vehicle is unmodified.
The Model 3 Performance has so far been getting rave reviews from veteran auto journalists. Dan Neil from the Wall Street Journal described the car as a “magnificent” piece of auto engineering that is “representative of the next step in the history of autos.” Kim Reynolds of MotorTrend, whose test drive of the vehicle was highlighted by a brief sprint on a freeway on-ramp, stated that “in maybe 120 wheel revolutions, a high-performance hierarchy has been rattled.” The auto veteran also stated that the “European marques perennially atop the sport sedan podium are about to have trapdoors release beneath them” with the arrival of the Model 3.
The Performance Model 3 might look practically identical to the car’s lower-specced variants, but the vehicle does have several tricks up its sleeve. Among these is a unique “Track Mode” beta feature exclusive to the Model 3 Performance (at least for now). In a statement to Road and Track, Michael Neumeyer, Manager of Chassis Controls for Tesla, stated that the Model 3 Performance’s Track Mode differs slightly from comparable features in other vehicles, which usually involve the disabling of traction control systems.
“Our Track Mode doesn’t disable features, it adds them,” Neumeyer said.
Tesla’s Track Mode is a mixture of tweaks and in-house programming that makes adjustments to the vehicle’s settings, including its dynamic control and regenerative braking. With the beta feature turned on, the Model 3 Performance becomes a car capable of maneuvers that are invaluable on the track, such as drifting and sharp changes in direction. The Model 3 Performance’s motors and battery use cooling circuits that are independent but linked as well. This means that as one component heats up, the car’s system shifts cooling capacity where it’s needed. With this approach, the Model 3 Performance becomes immune to the total performance shutdowns that happen in vehicles like the Model S P100D when temperatures spike.
Watch DÆrik‘s VBOX-recorded Model 3 Performance 0-60 mph run in the video below.
https://youtu.be/8P8DZKFUw3k
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.”
News
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
