Tesla has announced that it is starting the rollout of Track Mode, a feature of the Model 3 Performance that allows the car to perform better on a racecourse, today. In light of the feature’s release, Tesla has published a blog post outlining the science behind Track Mode, as well as the feature’s specifics.
While Tesla’s other performance-oriented upgrades like Ludicrous Mode for the Model S and X help a vehicle with straight-line acceleration, Track Mode helps the company’s electric cars handle corners better. Tesla’s blog post notes that Track Mode was designed specifically to be used on closed autocross circuits and racetracks. The company also pointed out that its goal behind the development of Track Mode was simple — they wanted to use the power of the vehicle’s electric motor and instant torque to “make cornering on the track feel just as natural as forward acceleration.”
Track Mode enables vehicles to precisely control whether torque goes to the front or the rear wheels. This allows the Model 3 Performance to instantly increase or decrease the car’s rotation in a corner. With such a system in place, racing enthusiasts would find that highly technical driving sessions on a closed circuit would be a lot easier.
Track Mode starts rolling out today
— Tesla (@Tesla) November 8, 2018
Unlike the usual Sport Modes of legacy carmakers, which usually involve the disabling of stability control, the Model 3 Performance’s Track Mode adds features to the vehicle. Tesla accomplished this by replacing the electric car’s stability control system with its own Vehicle Dynamics Controller — a software specifically developed for the company’s electric vehicles that acts as both a stability control system and a performance enhancement on the track. Tesla also provided a summary of the features that are employed by Track Mode when it is activated.
Motor Torque for Rotation
Our Vehicle Dynamics Controller continually monitors the state of the vehicle and all of the inputs from the driver to determine the driver’s intention and affect the rotation of the car in a matter of milliseconds. Track Mode relies heavily on the front and rear motors to control the car’s rotation, and we have the ability to command a 100% torque bias. When cornering, if rotation is insufficient to the driver’s request, the system controls a rear biased torque. Conversely, when rotation is excessive, we command a front biased torque.
Increased Regenerative Braking
Heavy regenerative braking may not be comfortable for day-to-day driving, but on a track, it has several key advantages. It gives the driver more authority with a single pedal, improves the endurance of the braking system, and sends more energy back into the battery, maximizing the battery’s ability to deliver large amounts of power. It also gives the Vehicle Dynamics Controller more authority to create or arrest rotation with the motors when your foot is lifted off of the accelerator pedal.
Track Focused Powertrain Cooling
The high output power required for track driving generates a lot of heat, so endurance on the track requires more aggressive cooling of the powertrain. We proactively drop the temperatures of the battery and the drive units in preparation for the track and continue to cool them down in between drive sessions. We can also allow operation of the powertrain beyond typical thermal limits and increase our refrigerant system capacity by overclocking the AC compressor into higher speed ranges.
Enhanced Cornering Power
We typically think of using brakes to slow down a car, but you can actually use them to make the car faster out of a corner. All Model 3s are equipped with open differentials, which send an equal amount of torque from the motors to both the left and right wheels. When cornering, the wheels on the inside of the corner have less load on them, which means they can provide less tractive force than the outside wheels. To prevent excess slip on this inside tire, we have to limit the torque for both wheels, leaving power on the table. In Track Mode, we simultaneously apply brake and motor torque to produce a net increase in tractive force while cornering. This is similar to how a limited slip differential works, except when using the brakes, the differential can be optimized for various driving conditions.
What is particularly exciting about the release of Track Mode is the fact that it is just the first version of the system. On its blog post, Tesla noted that Track Mode is set to improve further in the future through over-the-air updates.
When Elon Musk announced the Model 3 Performance on Twitter, he noted that the vehicle would be around 15% faster than a BMW M3 on the track. Considering the pedigree of the German-made performance sedan as well as the tendency of Tesla’s previous vehicles to throttle their performance on a track, Musk’s claims were met with a notable degree of skepticism from both avid car enthusiasts and critics alike. That said, initial reviews of the feature were notably positive.
Tesla conquered the drag strip with Ludicrous Mode. It remains to be seen if the company can do the same on the closed circuit with Track Mode. Considering the deliberate design of the feature, though, there is a pretty good chance that the Model 3 Performance would soon be just as formidable on the track as the Model S P100D is on the drag strip.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
