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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.
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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.
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Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
