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
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
