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Tesla Cybertruck’s biggest rival is poised for a delay, and GM’s stance against CA’s standards isn’t helping

(Credit: Tesla)

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The Tesla Cybertruck will meet several competitors when it enters the market. There’s the Rivian R1T pickup truck, a luxury vehicle designed for the outdoors. There’s the Ford F-150 Electric, the EV version of America’s most popular pickup truck. But perhaps the Cybertruck’s biggest rival, both in terms of literal size and specs, is GM’s Hummer EV, a vehicle that represents the antithesis of Tesla’s exoskeleton-clad monster. 

The GMC Hummer EV and the Tesla Cybertruck come from very different backgrounds. The Cybertruck is what happens when Tesla is unrestrained, and it is unashamedly different in its design and features. The Hummer EV, on the other hand, is a redemption of sorts for GM, as the emergence of the massive, gas-guzzling original Hummer marked one of the nails in the coffin of the veteran automaker’s controversial EV1 electric car. 

The Hummer EV has garnered a lot of attention, and it is set for a reveal this May 20. However, the coronavirus pandemic may put a damper on the upcoming vehicle’s official unveiling. With social distancing rules pretty much negating the possibility of a launch event for the truck, sources familiar with the matter have told motoring publication CarBuzz that the Hummer EV’s unveiling will be rescheduled. This is not surprising at all considering the circumstances that have arisen from the pandemic, but it is unfortunate, nonetheless. 

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This potential delay could cost the Hummer EV a lot of momentum. The vehicle is already entering the all-electric pickup market pretty late, with companies like Rivian and Tesla already poised to release their trucks in the next year or so. Furthermore, the Hummer EV is riding a wave of momentum that resulted from GM’s clever teasers in recent months. Any delays in the vehicle’s unveiling might then result in waning interest from the EV community. 

This is bitter pill to swallow for GM, especially since leaked production plans from the automaker have revealed that much of its commitments to electrification are not very serious at all. As indicated by production plans accessed by Reuters, both GM and Ford still intend to adopt a strategy that is heavily skewed towards the internal combustion engine for the next few years. This is despite CEO Mary Barra arguing that GM is dead serious about electrification. 

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But perhaps the biggest blow to the Hummer EV yet is coming from GM’s standing among car buyers. Earlier this year, GM, together with Toyota and Fiat Chrysler, decided to side with US President Donald Trump in his efforts to revoke California’s higher emissions standards. This promptly resulted in losses for GM, with CA banning the use of the company’s vehicles for its fleet. But it doesn’t end there. 

According to the findings of a poll conducted by Matt George Associates for the Union of Concerned Scientists (UCS), GM’s decision to stand against California’s emissions standards has adversely affected its standing among car buyers. Out of the 1,000 owners surveyed, 51% who initially stated that they would “definitely purchase” another GM vehicle in the future decided to change their minds after learning of the company’s anti-emissions standards stance. GM’s favorability among buyers also saw a steep drop from 93% to just 44%. 

These sentiments from the car buying public are the last thing that the Hummer EV needs to be a success. Using the Hummer, a vehicle that is traditionally perceived as the very representation of excess, as an entry into the electric truck market, is a bold move for GM. But successful bold moves usually involve a lot of delicate pieces lining up perfectly enough. Unfortunately for GM, the delays in the Hummer EV’s launch, coupled with negative sentiments against the company, may very well derail the all-electric truck even before its arrival.

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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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

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.

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.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

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.”

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

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

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.

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.

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