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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.
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.
Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla Cybertruck is officially the safest pickup, IIHS says
