News
Tesla’s next-gen Model Y from Giga Berlin aims to redefine ‘German engineering’
Tesla’s next-generation Model Y from Giga Berlin in Germany may redefine “German engineering.” A Tweet from CEO Elon Musk shows the company aims to improve build quality down to the micron, a unit of measurement that is equivalent to one-thousandth of a millimeter.
“German engineering” is a phrase that has been around for decades and commonly refers to the precision and accuracy that German products are known for. In the automotive industry’s history, German vehicles have highly been regarded as the most luxurious, highest quality cars that money can buy. In the early years of industry and engineering, Germany had the best machines and the most advanced processes for building basically anything, but cars were the specialty. Strict standards and an attitude that aimed toward perfection made German vehicles the cream of the crop in the automotive industry.
Tesla Gigafactory Berlin render (Credit: Tesla)
This theory still holds true in today’s industry in many ways. While other companies and other regions have highly effective processes for vehicle manufacturing, Germany still has a certain mystique about it. With brands like Mercedes-Benz, Audi, and BMW, three of the most luxurious brands in the automotive market today, German engineering still holds a high standard.
However, Tesla has plans to reinvent the wheel when speaking about the term “German engineering.” In the last 18-or-so months since Elon Musk announced that Tesla’s first European Gigafactory would be in Germany, many developments have hinted toward Giga Berlin being the most advanced and most sophisticated factory that Tesla has in its arsenal. From a new, world-class paint facility to some of the most accurate automated machinery on the planet, Tesla is pulling out all the stops to keep up with Germany’s best brands.
In a Tweet earlier today, Musk said that Tesla is aiming for “extreme precision” with the next-gen Model Y. The company will aim for microns of accuracy, not millimeters, as Tesla aims to continue refining its manufacturing processes to make some of the highest-quality vehicles on Earth.
Aiming for extreme precision with next gen Model Y – microns, not millimeters
— Elon Musk (@elonmusk) May 18, 2021
In the past, Tesla has been criticized for poor build quality with some of its vehicles. Some owners have highlighted panel gaps or paint quality issues with their vehicles, which has led to an overwhelming misconception that Tesla produces lackluster vehicles. The truth is that all vehicle manufacturers have issues with build quality from time to time. Things as simple as an increased production rate can affect the quality of a vehicle. Some, however, like automotive veteran Sandy Munro, have stated that Tesla’s build quality has improved significantly over the years. Munro went from highly critical of the Model 3 during a teardown several years ago to overwhelmingly impressed with the new builds of the car.
“This car has improved significantly,” Munro said. “The paint is great; it’s very impressive.”
The accuracy that Tesla is aiming for with the next-gen all-electric Model Y crossover is extremely precise. A micron is one-thousandth of a millimeter, so it’s a unit that is not necessarily visible to the human eye. If Tesla can refine its manufacturing lines in Berlin to reach this level, the definition of German engineering may once again be reconfigured to include Tesla’s near-perfect build quality.
What do you think? Let us know in the comments below, or feel free to reach out to me directly at @KlenderJoey on Twitter or through email at joey@teslarati.com.
Elon Musk
SpaceX announces new Starship 13 test flight target date
SpaceX has announced a new target date for the thirteenth test flight of Starship: Monday, July 20, with the launch window opening at 6:45 p.m ET/5:45 p.m. CT.
This is the first rescheduling attempt of Starship’s 13th test flight. It was set to launch last night, but SpaceX scrubbed the launch attempt.
🚨 SpaceX is now looking at Monday, July 20th at 6:45 p.m ET/5:45 p.m. CT for the 13th test flight of Starship pic.twitter.com/7s8aMJV5Ge
— TESLARATI (@Teslarati) July 17, 2026
CEO Elon Musk revealed that some of the engines on Starship did not start, which automatically triggers a launch abort. Two of the Raptor engines will be removed and replaced.
To be confident of a good flight, 2 Raptors will be removed & replaced. Most probable launch timing is early next week.
— Elon Musk (@elonmusk) July 17, 2026
SpaceX officially announced the new launch window this morning.
Starship’s 13th test launch comes with a few new objectives, but SpaceX does not plan to attempt a catch of the booster, which it has done several times in the past.
For Starship’s Upper Stage, there are some adjustments to ensure engine reusability that will be assessed during the ascent, and 20 operational Starlink V3 satellites are also set to make their way into space. SpaceX also plans to attempt an in-space relight of a single Raptor engine, which is a critical demonstration for future orbital deorbit, refueling, and deep space maneuvers.
Ultimately, it will splash down in the Indian Ocean.
The continuous tests help SpaceX advance the Starship program toward eventual full reusability, operational Starlink V3 deployment, and future missions, which include NASA’s Artemis program.
Elon Musk
SpaceX Starship Flight 13 aborted at Zero and Musk just told us what broke
Four Raptor engines failed to ignite at T-zero, forcing SpaceX to scrub Starship Flight 13 Thursday.
SpaceX scrubbed the Starship Flight 13 launch attempt Thursday evening at the last possible moment, after four of the Super Heavy booster’s 33 Raptor 3 engines failed to ignite during the startup sequence. The 90-minute window had opened at 6:45 p.m. EDT from Starbase in Boca Chica, Texas, and the countdown had proceeded without issue all day, with more than 11.5 million pounds of liquid methane and liquid oxygen being fully loaded into the rocket before the automated abort triggered. SpaceX’s launch directors posted on X, “Standing down from today’s flight test attempt,” and shut down the livestream shortly after.
Musk confirmed the root cause within hours. “Some of the engines didn’t start, triggering an automatic launch abort,” he wrote on X. “To be confident of a good flight, 2 Raptors will be removed and replaced. Most probable launch timing is early next week.” SpaceX engineers began draining propellant tanks immediately and Booster 20 was rolled back to its hangar for inspection.
The timing adds a layer of significance that did not exist during any of the previous 12 Starship flights. This is the first time SpaceX has attempted to launch Starship since the company made its stock market debut in June, listing under ticker SPCX at $135 per share. Public investors are now watching every Starship outcome in real time, and a last-second abort carries more visibility than it would have six months ago.
Flight 13 was designed to be one of the most consequential tests in the program’s history. It was set to carry 20 Starlink V3 satellites, the first operational payload Starship has ever attempted to deploy. Six of those satellites carried external cameras to photograph Starship’s heat shield from the outside during flight, which would act as a self-inspection approach SpaceX has never attempted before. The mission also needed to complete a Raptor engine relight in space, a step SpaceX skipped on Flight 12 in May after losing an engine during ascent. That Flight 12 booster also flipped 90 degrees off course during its boostback burn when five engines failed to reignite.
SpaceX has not announced an official next launch date. Musk’s “early next week” window points to July 21 or 22 at the earliest, pending the engine swap and a return to the pad.
News
Elon Musk secretly acquires $1B energy company to power the AI future
Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.
Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.
BREAKING: Elon Musk acquires Jacksonville power company APR Energy in a deal valued at more than $1,000,000,000.00.
— Polymarket Money (@PolymarketMoney) July 15, 2026
Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.
APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.
APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.
The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.
The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.
Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.