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.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
