Connect with us

News

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

Credit: Car and Driver/YouTube

Published

on

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. 

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. 

Advertisement
-

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.

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.

Advertisement
Comments

Elon Musk

Elon Musk follows Trump’s lead, says a SpaceX name change is coming

Elon Musk says SpaceXAI will become SpaceXSI, marking its second rebrand in under three months.

Published

on

By

Elon Musk wants to rename his artificial intelligence company again, less than three months after its last rebrand.

In a string of posts on X early Sunday morning, Musk wrote “No more AI,” followed by “SI” and “It’s better.” He then added, “SpaceX is a super intelligence company.” When a user asked whether SpaceXAI could become SpaceXSI, Musk replied, “Yes, we will make that change.”

The posts extend a terminology push that began at the White House last week. On September 29, President Donald Trump signed an executive order directing federal agencies to replace “artificial intelligence” and “AI” with “Super Intelligence” and “SI” on government websites, policy documents and press releases. The same day, Musk sat beside Trump as the heads of the largest AI companies signed a voluntary safety accord, as Teslarati reported. Speaking to reporters afterward, Musk caught himself mid sentence: “I think it is worth highlighting the positive benefits of A.I. … S.I., pardon me.”

Elon Musk and Trump are closer than ever, and Tesla could be the big winner

SpaceXSI would be the third name for the business since February. SpaceX acquired xAI on February 2 in a deal that valued the combined company at $1.25 trillion. In May, Musk said xAI would be dissolved as a separate company, and on July 6 the division adopted the SpaceXAI name and a new logo that placed the xAI letters inside the SpaceX identity.

Musk gave no timeline. He did not say whether SpaceXSI would be a legal name change or a branding update, whether the @SpaceXAI handle on X would change, or how the shift would apply to products like Grok. The company had not issued a formal announcement as of Sunday morning.

The change would reach well beyond a chatbot. SpaceXAI now houses Grok, the X platform, the Colossus training clusters in Memphis and the coding tool Cursor, which SpaceX acquired in August. It also runs the orbital compute effort SpaceX is building around Nvidia hardware, which Musk said during the company’s first earnings call would be exclusive to Nvidia.

It’s unclear if rivals like Anthropic, OpenAI, Google, Meta and Nvidia have plans to also rename their companies or products. OpenAI CEO Sam Altman has continued to say “AI” in public, while Nvidia CEO Jensen Huang has gone partway, describing data centers as “super intelligence factories.”

The rename would also line up SpaceX’s AI branding with the federal government’s language as Musk takes on a new advisory role at the Pentagon, where he is helping lead the Project Meridian study on the future of warfare.

Continue Reading

News

Starlink launches Communities Program for passive income through internet sharing

Published

on

(Credit: Starlink | X)

Starlink is launching a new beta path for ordinary property owners and local operators to turn a single Starlink kit into a small shared-access business for passive income.

Under the Starlink for Communities program, a host installs one dish and router setup in a location with nearby demand: an apartment complex, campground, rural crossroads, or event site. Neighbors or local users can buy short-term passes rather than full individual subscriptions, giving the Starlink provider a potential path to passive income.

Hour, day, and week passes cover one device. A month pass covers up to four. Starlink handles account creation, payments, access controls, and the satellite link itself. The host’s role is mainly placement, power, and basic upkeep, with earnings tied to each paid connection.

The model echoes the passive-income vision long attached to Tesla’s Robotaxi plans, and it seems like it’s something Musk has hinted toward in the past as he believes AI will make the need to work relatively optional. In both cases, the platform owns the hard parts of matching, billing, and network management, while an individual supplies a physical asset that sits idle much of the time.

A Starlink host’s dish can serve multiple nearby users without each household buying and installing its own terminal. A Tesla owner, under the stated Robotaxi concept, would leave a vehicle enrolled in the fleet during unused hours so the car generates rides while the owner is at work or asleep.

Both arrangements convert under-utilized hardware into a revenue stream. They also let the company scale coverage or capacity without owning every endpoint.

Differences are practical. A Starlink kit is a fixed, relatively low-cost terminal whose main constraint is local congestion and line-of-sight. A Tesla Robotaxi is a mobile, high-value vehicle whose earnings depend on demand density, utilization rates, insurance, cleaning, and charging.

Starlink’s program is already accepting host applications in multiple countries and describes the revenue split as ongoing. Tesla’s owner-network version remains more aspirational.

The company currently operates a limited company-controlled robotaxi service in select areas and has solicited interest from fleet buyers for Cybercab vehicles, while private Full Self-Driving owners have not yet been able to dispatch their own cars for paid rides at scale.

Tesla primes Cybercabs for 4K streaming and high bandwidth gaming with Starlink integration

Starlink is a satellite broadband service operated by SpaceX that uses a constellation of low-Earth-orbit satellites to deliver internet to locations where terrestrial broadband is slow, expensive, or absent. It has grown to millions of subscribers worldwide by selling direct residential, mobile, and enterprise terminals, and have become widely available at a wide array at retail locations like Target and Best Buy.

The Communities program extends that reach by letting hosts resell short bursts of capacity to people nearby, while also providing high-speed internet access to those who are simply around a Starlink user.

Continue Reading

News

Tesla just made its headlights even better through a software update

Published

on

Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

Continue Reading