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BMW and VW says Tesla’s Grohmann Engineering must fulfill past contractual obligations

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BMW and VW are pushing back against the newly formed partnership between Tesla and Grohmann Engineering amid reports that the Silicon Valley automaker has requested Grohmann to cease work on existing customers, as it pushes to bring Model 3 to market in July.

Recently publicized spats over wages and benefits arising from fears over job instability from Grohmann’s 700 employees, and reported clashes between Grohmann founder and Tesla Chief Elon Musk, has led to strong tensions behind closed doors. BMW and VW claim that the rebranded Tesla Grohmann Automation has sent mixed messages about its intentions, yet Germany’s largest automakers continue to take a strong stance and asking Grohmann to fulfill its contractual obligations.

However, a report from German publication Wirtschaftswoche indicates that Grohmann’s work counselor Uwe Herzig said (via Google Translate) that “the workload caused by new Tesla projects was so great that it has only been working on Tesla projects for a few weeks.”

It is clear that a competitor buying up a key supplier is cause for concern, but at this point what is not clear is whether or not Tesla has failed to fulfill any of its contractual obligations. BMW and VW have both gone on record stating that they both expect the new Tesla Grohmann Automation unit to fulfill existing contracts.

While the short-term pressure is causing tension for Tesla and headaches for its entrenched competition in Germany, Tesla is confident that there is a bright future for Grohmann. A Tesla spokeswoman (via Google Translate) shared that the company is confident that Tesla Grohmann Automation will “grow significantly over time, despite concentration on internal orders.”

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Beyond just retaining existing employees, Tesla Grohmann has flooded the local market with job advertisements even going so far as to hire headhunters to find skilled workers, according to local reports. One of the job descriptions for an Engineer can be seen on Tesla’s careers page, listed below.

Engineer

Department: Engineering

Location: Prüm, Germany

Req. ID44211

Job Type: Perm Eu

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Supercharge your career!

We are hiring world-class Engineering talent to help us build the machine that builds the machine. Looking for excellence in Electrical/Mechanical/Automation Engineering and other technical disciplines. A passion for technically complex tasks and problem solving is essential.

Tesla is committed to hiring and developing top talent from across the world for any given discipline. Our world-class teams operate with a non-conventional product development philosophy of high inter-disciplinary collaboration, flat organizational structure, and technical contribution at all levels. You will be expected to challenge and to be challenged, to create, and to innovate. These jobs are not for everyone; you must have a genuine passion for solving some of the most challenging problems in the world.

Wir suchen Weltklasse-Ingenieure, die uns dabei helfen, die Maschine zu entwickeln, die die Maschine baut. Gesucht wird nach exzellenten Experten für Elektrotechnik / Maschinenbau / Automatisierungstechnik und anderen technischen Disziplinen. Besonders wichtig ist die Leidenschaft für technisch komplexe Aufgaben und der Wille Probleme zu lösen.

Tesla sucht weltweit Toptalente aus den unterschiedlichsten Bereichen, die sich weiterentwickeln möchten. Unsere Weltklasseteams arbeiten im Rahmen einer unkonventionellen Entwicklungsphilosophie, die auf enge fachübergreifende Zusammenarbeit setzt. Flache Hierarchien und intensiver technischer Austausch auf allen Ebenen sind weitere Merkmale. Wir erwarten, dass Sie genau so herausfordern wie Sie Herausforderungen annehmen, um Neues zu konzipieren und zu schaffen. Diese Aufgabe nicht für jeden geeignet. Sie müssen die unbedingte Leidenschaft haben einige der schwierigsten Probleme der Welt zu lösen.

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Wir freuen uns auf Ihre Bewerbung!

I'm passionate about clean technology, sustainability and life. I've worked in manufacturing, IT, project management and environmental...and enjoy unpacking complex topics in layman's terms. TSLA investor. Find more of my words on my website or follow me on Twitter for all the latest. Tesla Referral link: http://ts.la/kyle623

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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.

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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.

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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.

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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.

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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.

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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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