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Tesla Model 3 with ‘Track Mode’ squares off against Jaguar I-PACE and MotorTrend’s top rated sports sedan
While the Model S and the Model X are monsters on the drag strip, the premium electric cars have developed a reputation for being ineffective during extended track driving. Tesla aims to shatter this perception with the Model 3 Performance, as the vehicle is designed to be the first of the company’s electric cars that is competitive on the racecourse. Tesla is even preparing a specific and aptly-named mode for the vehicle to achieve this goal — “Track Mode.”
The Tesla Model 3 Performance has been getting universally positive reviews from numerous publications, from the Wall Street Journal to Car & Driver. Reviewers have praised the vehicle for its handling and quickness, as well as its sheer fun factor when driven hard. Auto publication Road & Track even sampled the Model 3 Performance’s upcoming “Track Mode” feature, which allows the vehicle to perform impressive high-speed maneuvers on a racecourse.
Tesla’s Track Mode for the Model 3 Performance was recently put to the test by auto publication MotorTrend, which held comparative tests pitting the electric sedan against the Alfa Romeo Giulia Quadrifoglio, as well as another all-electric car, the Jaguar I-PACE EV400. The tests, which involved track testing all three vehicles by veteran race driver Randy Franklin Pobst, allowed the publication to analyze how the Model 3 Performance stacks up against a fellow track-capable EV and the best fossil fuel-powered sports sedan available today.
Needless to say, the results of the tests were very compelling.
It was easy to determine that among the three, the Jaguar I-PACE EV400 was at a disadvantage, particularly due to its 4,946-pound mass and its substantial ride height. The I-PACE’s electric motors, which produce a combined 394 horsepower, are also 22% less than the Giulia Quadrifoglio. These disadvantages were evident when the veteran driver took the electric crossover around the “Streets” of Willow Springs International Raceway in CA, as the I-PACE took 1:27.00 to complete a lap.
The difference between the track capabilities of the Model 3 Performance and the Alfa Romeo Giulia Quadrifoglio was far more difficult to call. With Track Mode enabled, the Model 3 Performance set a new record for production electric cars on the racecourse, completing the run at 1:23.90. That’s 0.07 seconds faster than one of Ford’s best track vehicles, the Mustang GT Performance Pack 2. That said, Pobst, who was driving the Model 3 Performance, noted that the vehicle was easy to understeer, and that “there’s something weird happening when I lift off the brake.” The sensation that the race driver was referring to was the Model 3 Performance’s regenerative braking, which is emphasized even more when Track Mode is enabled.
True to its reputation as the best sports sedan in the market today, the Alfa Romeo Giulia Quadrifoglio completed the lap in 1:22.78, 1.12 seconds faster than the Model 3 Performance. Pobst noted that the turbocharged V6-powered vehicle “does exactly what you expect. No surprises. Always predictable.” After two sets of hard laps, though, half of the Alfa Romeo’s Pirelli P Zero Corsa AR Asimmetrico front tires were all but gone. The Model 3 Performance’s Michelin Pilot Sport 4S tires, on the other hand, were at worst scuffed. A Tesla engineer remarked to the publication that the Model 3 Performance could match the Giulia Quadrifoglio’s time if they were willing to compromise the vehicle’s tires as well.
Ultimately, MotorTrend‘s track tests show that the Model 3 Performance, at its current state, is still not quite enough to topple the auto market’s best sports sedan. That said, Track Mode, despite being a work in progress, is a very strong baseline. The publication noted that for now, it would be wise to look at Tesla’s Track Mode for the Model 3 Performance as Version 1.0 of the feature. Once Version 2.0 is ready, then vehicles such as the Alfa Romeo Giulia Quadrifoglio would also be wise to fear Tesla’s first track-capable vehicle.
Even without Track Mode, the Tesla Model 3 Performance is already starting to win over veteran auto enthusiasts, including longtime enthusiasts of legacy carmakers like BMW. Moshen Chan, an indie app developer who has been a BMW fan for ~20 years, noted that Tesla’s electric car “absolutely outperforms anything BMW has to offer today.”
The Model 3 Performance’s Track Mode is one of the electric sedan’s most compelling features. Describing the feature in an interview with YouTube tech host Marques Brownlee, Musk likened Track Mode as an “Expert User Mode” for drivers.
“Track Mode will open up a lot of settings. You can adjust settings, and it’s kinda like an ‘Expert User Mode.’ You can sort of adjust traction control, adjust battery temperature. You can basically configure a bunch of things, and it will tell you, like ‘Hey, you know if you do this, it’s a bit risky. You’re gonna wear out your brakes sooner; you might blow a circuit.’ But like, it’ll be clear — like, you know, this is the risk you’re taking. It’s kinda like if you have a graphics card in a computer. You can go in there and change the settings, and you can overclock things,” Musk said.
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
