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The case for Tesla to operate multiple car factories in the US has never been stronger

(Credit: Tesla)

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The recent controversial events surrounding Tesla and its main electric vehicle production plant in Fremont, CA, is one that will likely have repercussions on the company’s future. But beyond the controversy, the recent events surrounding Fremont highlight one key point: it is in Tesla’s best interests to ensure that its vehicle production facilities will no longer be exclusive to one state.

The Fremont factory and Alameda County’s insistence on keeping it closed has resulted in Tesla filing a case against the county. So far, the mayor of the City of Fremont and the City Palo Alto have sided with Tesla, and Elon Musk has remarked that the company’s HQ and future projects will be relocated to other sites, such as Gigafactory Nevada and a Texas site. In the midst of this all is a County Public Health Officer who has reportedly ignored Tesla’s efforts at proposing a reopening plan for the Fremont factory.

What is pretty ironic is the fact that among the carmakers currently operating a production facility in the United States, Tesla is arguably the most experienced in dealing with the COVID-19 pandemic. The electric car maker has successfully dealt with the virus in Shanghai, and following a government-mandated shutdown, Tesla was able to return to regular operations gradually. Once reopened, Gigafactory Shanghai adopted a series of serious anti-coronavirus strategies that helped the company’s workers stay safe despite the pandemic. Tesla intends to do the same in Fremont, if not more.

For now, reopening the Fremont factory will likely be the result of pressure on the county or a serious stroke of fortune that would allow Tesla and the County Public Health Officer eye-to-eye. Each of these requires more than its own stroke of luck, but it doesn’t necessarily have to be. That is, if Tesla has multiple electric vehicle production facilities in the United States. If Tesla has another factory in the US located in an area that is more supportive of the company, it would not have to go through legal means to reopen its primary production facility.

Tesla’s next facility will likely be located in Texas, and so far, Sen. Ted Cruz has stated on Twitter that the state is fully behind the electric car maker. Texas actually makes sense for Tesla, especially considering that SpaceX, Musk’s private space venture, already has a facility in Boca Chica. If speculations prove right, Tesla can very well be building its first Terafactory in the state, which will be making the Cybertruck, and perhaps other vehicles like Model Y and Semi as well.

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Tesla is now at a point where it is producing vehicles that are not intended for a small demographic of car buyers. With the advent of the Model 3 and the Model Y, as well as the upcoming Cybertruck, Tesla is taking on the mainstream market, an industry that counts its production numbers in the hundreds of thousands. This means that the company is now poised to meet the juggernauts of the auto industry like General Motors and Volkswagen head-on, provided that it has the resources to do so. It just has to make sure that its vehicle production activities could not be stopped just because of a single factory shutdown.

With this in mind, it may be a good idea for Tesla to expand its vehicle production capabilities far beyond the Texas Gigafactory/Terafactory. Tesla’s vehicle lineup does not end with the Cybertruck, the Roadster, and the Semi, after all. References to a Tesla van have been stated before, and Tesla has also hinted at a vehicle that’s smaller and more affordable than the Model 3. The more successful Tesla gets, and the more advanced the company’s Full Self-Driving suite becomes, the healthier the demand for Tesla’s vehicles will be. To accomplish this, it may be a good idea to look at legacy auto’s playbook for once, and start establishing car factories across the United States.

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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