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Top 10 Tesla Track Mode V2 features for the Model 3 Performance
The capabilities of Tesla’s newly-unveiled Track Mode V2 was demonstrated recently by a select group of car enthusiasts, one of them being the host of YouTube’s Vehicle Virgins channel. Following some time with a Model 3 Performance with Track Mode V2, host Parker Nirenstein listed the 10 best features of the upcoming update.
Tesla’s V2 Track Mode was announced on March 2 and it will introduce a variety of new features that foster better performance for Model 3 owners who have a taste for higher speeds and racecar-like handling. Expanding on the original Track Mode, V2 promises even more customization, control, and capabilities for drivers brave enough to tap into the raw power of a Model 3 Performance.
Following are Vehicle Virgins‘ Top 10 Track Mode V2 features.
1. Industry-Leading Visual Display
Once Track Mode V2 is enabled, the Model 3’s center display changes to give drivers pertinent information for closed circuit driving. Instead of the typical driving visuals and trip stats featured in the Model 3’s screen, the Model 3 Performance’s display shifts to provide drivers with a clear visual of what is exactly happening with certain portions of the car while Track Mode V2 is engaged. Stats such as battery temperatures and tire temperatures are provided.
2. G-Force Meter
Track Mode V2’s G-Force Meter gives live feedback of current measurements of the car’s current state. The meter also tracks past G-Force measurements from the most recent session. This allows drivers to see how much G-force was applied to each portion of the car during drifting or hot laps.
3. Post-Drive Cooling Feature
Tesla has included a Post-Drive Cooling feature to Track Mode V2, a feature that the Vehicle Virgins host stated is something that is being included today in actual track cars. This feature prevents excessive heat from damaging the battery and the Model 3’s other critical components. This will also decrease the wait time between runs, allowing Model 3 Performance owners to spend more time on the closed circuit and less time waiting for their vehicles to cooling down.
4. Record Video Features
Track Mode V2 will now allow drivers to record recent runs using the vehicle’s built-in cameras that are used by Sentry Mode and Autopilot. Now, laps and drifting runs could be actively captured, allowing for playback of impressive lap times, or to show off a flawless drifting run around obstacles. Driving data from these videos can even be printed to give drivers the full rundown of their performance on the track.
5. Variable Power Splits
This makes the Dual Motor All-Wheel Drive vehicle capable of changing into a full Rear-Wheel-Drive or Front-Wheel-Drive car simply by toggling through settings on the Model 3 Performance’s center display. Nirenstein noted that the Model 3’s customization of this feature is much more impressive than his Lamborghini Huracan’s “Sport Mode,” which went all the way up to 90-10 in favor of Rear-Wheel Drive. The YouTube host also emphasized that the Model 3’s price is 10 times less than the Lamborghini’s, but he is much more impressed with the electric car’s feature.
6. Custom Track Settings
Custom settings could be named and perhaps even saved on the vehicle for specific tracks. This would allow drivers to get the optimum performance from their Model 3 Performance for each location or racing session that they will be attending.
7. 20 Stages of Traction Control
Track Mode V2 allows for 20 different settings of Traction Control for different driving experiences. Nirenstein stated that the AMG GTR became practically legendary due to its 9 different stages of traction control, but Tesla has actually more than doubled the number of options with 20 full stages. This, of course, provides Model 3 Performance drivers with an immense amount of control for their vehicle.
8. Regen only on the Rear Wheels
Track Mode V1 uses regen a lot to enable the Model 3 Performance to perform well on a closed circuit. Track Mode V2 takes this a step further, allowing owners to completely turn regen off, or only apply the braking system to the rear wheels exclusively in RWD mode. Experienced drivers and those who are proficient at drifting will likely take a liking to this capability.
9. Built-in Lap Timer with customizable start point and finish line
By using the vehicle’s GPS, drivers can set a custom start and finish point that will then track lap times and speed based on the vehicle’s location. This feature will record multiple laps, allowing drivers to test different lines and speeds to improve performance.
10. Compressor Overclock
Compressor Overclock runs the Model 3’s cooling compressor at an increased rate to inhibit faster battery and vehicle cooling, decreasing wait time between runs. The feature allows the compressor to run at a rate higher than normal, helping performance, but also increasing wear.
Each of these new features is demonstrated in Vehicle Virgins‘ new video, where host Parker Nirenstein demonstrated Track Mode V2’s capabilities. In addition to displaying the new functions Tesla has released with Track Mode V2, the video featured the new Model 3 Track Package recently released for the all-electric sedan. The package includes Zero-G Performance Wheels, race-focused brakes and brake fluid, and track-optimized tires.
Tesla has yet to set a date for when the free OTA update will roll out for Model 3 Performance owners. The Model 3 Track Package will begin shipping in April and it includes Zero-G Performance wheels, Michelin Pilot Sport Cup 2 tires, high-performance brake pads, track-focused brake fluid, center cups, pressure sensors, and lug nut covers. The package will cost $5,500.
Watch Vehicle Virgins‘ Track Mode V2 video 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
