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Tesla and its Supercharger Network dominate 11-way 1,000-mile EV test

Credit: Car and Driver/YouTube

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An 11-way, 1,000-mile endurance test has proven that long trips with an electric vehicle in the United States are now possible, though those who are not driving Teslas may find themselves a bit challenged. These were the findings of motoring publication Car and Driver, which held a long-distance race between 11 EVs that are currently sold in the United States. 

The vehicles that participated in the test were the Tesla Model S Long Range Plus, Tesla Model Y Performance, Tesla Model 3 Performance, Ford Mustang Mach-E, Porsche Taycan 4S, Kia Niro EV, Audi e-tron, Volkswagen ID.4, Volvo XC40 Recharge, Polestar 2, and Nissan Leaf Plus. Participants in the event, which were comprised of two-person teams, were given free rein to select their own route, provided that they hit checkpoints in Cincinnati; Athens, Ohio; Morgantown, West Virginia; Erie, Pennsylvania; and Ann Arbor. 

Despite using apps like A Better Route Planner (ABRP), some teams immediately started hitting some challenges just a couple of dozen miles into the race. The team in the Nissan Leaf Plus, for example, made its first stop at a charging station just 23 miles into the race, reportedly as suggested by the ABRP app, but this resulted in them being the last group to arrive at a single ChargePoint DC fast charger in Lima, Ohio, behind three other teams. The team in the Audi e-tron eventually gave up their spot in the queue to look for another charging station, but they eventually returned after the other charger they were hoping to use turned out to be offline. 

The non-Tesla EVs with longer range such as the Ford Mustang Mach-E and the Volkswagen ID.4 fared slightly better, driving longer distances before needing a charge. When the vehicles did need a charge, however, the teams ended up experiencing similar issues as their competitors. From single ChargePoint DC fast chargers in some locations to areas with only Level 2 chargers available, some of the teams in the race ended up wasting valuable time. This was especially true for the Ford Mustang Mach-E team, whose lead against its non-Tesla peers tricked down as slowly as the Level 2 stations it ended up using north of Morgan­town. 

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In comparison, the Tesla Model S, Model 3, and Model Y teams went through the race without much issues, and a good reason for this was the Supercharger Network. With the rapid charging station being as robust as it is today, the trifecta of Teslas dominated the 1,000-mile race. The Model S Long Range completed the race in commanding fashion, and it was followed by the Model Y team, who beat the Model 3 team through some extra assertiveness. This all but proved that if drivers wish to conduct long road trips in an electric vehicle today, Teslas are still the way to go. The Supercharger Network is just that good. 

Ultimately, the Tesla Model S completed the 1,000-mile run in 16:14, followed by the Tesla Model Y, which finished the race in 17:50. The Tesla Model 3 took third place with a 17:55 time. The rest of the competition arrived over the following hours. The Ford Mustang Mach-E, the electric vehicle hailed by Car and Driver as its 2021 EV of the Year, came in at fourth place with a total time of 20:31, followed by the Porsche Taycan 4S, which had a total time of 21:00. The Kia Niro EV, the Audi e-tron, and the Volkswagen ID.4 all took over 23 hours to complete the 1,000-mile run, and the Volvo XC40 Recharge needed 25:47 to finish the race. The Polestar 2 took a surprisingly long 26:52 to complete its run, while the Nissan Leaf Plus took a whopping 32:57 before it crossed the finish line. 

Watch Car and Driver’s 11-way 1,000-mile EV test in the video below. 

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla and driver sued by family of woman killed in Texas crash: what we know

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Credit: CNBC

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.

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.

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Cybertruck

Tesla Cybertruck is officially the safest pickup, IIHS says

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Credit: Tesla

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 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.

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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.

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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.

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