Tesla gave a series of fresh, new looks inside Giga Berlin, its electric vehicle production facility located in Germany. The videos show how the factory is truly “the machine that builds the machine,” as automation, as well as a few helpful hands on the manufacturing line, help produce its products.
Tesla Giga Berlin has produced the Model Y for just under a year now, reaching a run rate of greater than 250,000 vehicles per year. The facility finally produced roughly 3,000 vehicles per week by the end of Q4, helping Tesla maintain a significant market share in Germany and the European market as a whole.
Today, Tesla gave a fresh look inside Giga Berlin, showing everything from casting and stamping to its “world-class” paint shop and general assembly lines.
Casting Lines
Tesla utilizes the IDRA Giga Press in Berlin, just as it does at other factories, to not only make manufacturing more efficient but also improve vehicle quality and safety.
Tesla shared multiple videos displaying the numerous processes of the casting design for the Model Y. “13 different body parts are stamped with a total of 7,300 tons of force, in a press line that runs at up to 16 parts per minute,” the automaker said. Additionally, Tesla showed portions of the rear casting process, which eliminated over 70 parts and refine the manufacturing process for the Model Y.
Rear chassis underbody pieces are cast in single pieces using a custom aluminum alloy, replacing 70+ metal parts pic.twitter.com/Ka0OnHEW1X
— Tesla (@Tesla) February 13, 2023
Stamped parts and castings are welded together by more than 600 robots. The car is lifted into the paintshop by “Godzilla,” which Tesla said is “one of the largest industrial robots ever.
Rear chassis underbody pieces are cast in single pieces using a custom aluminum alloy, replacing 70+ metal parts pic.twitter.com/Ka0OnHEW1X
— Tesla (@Tesla) February 13, 2023
Paint Shop
Tesla has always said that the paint shop inside Giga Berlin would be its best yet. Referring to it as “world-class” before it was even operational, the automaker has utilized the facility to roll out new colors in the European market, including Quicksilver and Midnight Cherry Red:
“Giga Berlin is home to our most advanced paint system yet, enabling multi-layer painting for depth, dimension & a hand-painted look.”
Giga Berlin is home to our most advanced paint system yet, enabling multi-layer painting for depth, dimension & a hand-painted look pic.twitter.com/W4mCZWfF7D
— Tesla (@Tesla) February 13, 2023
Tesla has struggled with paint quality at its other factories, but Giga Berlin has undoubtedly helped as it utilizes a series of high-quality paint and better processes to improve its look. Tesla filed to upgrade paint shops in Fremont, where some quality concerns arose several years ago.
General Assembly Line
Relying on both automation and humans, Tesla’s General Assembly line at Giga Berlin is where the final touches are put into place, and the Model Y truly takes shape. Over 1,000 people build the Model Y at any given time, installing HVAC, power electronics, drive units, and other elements.
CEO Elon Musk said in the past that he relied too much on automation to get things done with production, and humans were “underrated.”
The new look at Giga Berlin shows the cohesiveness between both robots and humans, which helps to complete the entire production process.
Finally, the vehicle moves to General Assembly, where seats, HVAC, power electronics, drive units & more are installed, using 20+ automated stations.
This is our biggest shop by headcount—on any given shift, 1k+ people are helping build Model Y pic.twitter.com/IgSrCpH5DR
— Tesla (@Tesla) February 13, 2023
The videos truly encapsulate how “the machine” that is Giga Berlin helps build “the machine” that is the Model Y. Tesla has refined its manufacturing processes to take advantage of both automation and humans.
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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”
