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Tesla’s software-like approach to its Gigafactories is working wonders in Berlin
If one were to state last year that the pace of Gigafactory Berlin will be faster than the buildout of Gigafactory Shanghai, one would likely have been laughed out of the room. Germany, after all, is not known for incredibly rapid buildouts, as represented by the long delays that have plagued the construction of the now-notorious Berlin Brandenburg Airport (BER). Yet the first phase of Giga Berlin stands today, seemingly poised to meet the hyper-aggressive targets set forth by Elon Musk.
Elon Musk has noted that Gigafactory Berlin could start producing the Model Y as early as next year. That’s an insane target, especially following apparent delays during the GF4 site’s tree-clearing period. Yet once the actual construction of Giga Berlin’s Phase 1 area started, the pace of the whole project changed. And not long after, it became evident that Germany could end up pulling off the impossible: it may very well beat China’s already record-setting pace in building Giga Shanghai.
Part of this lies in Tesla’s utilization of prefabricated materials for Gigafactory Berlin, which allows pre-made sections of the facility to be set up quickly. But this is only part of what makes the practical magic happen in Berlin. As shared recently by industry veteran Alex Voigt, a good part of the reason behind Giga Berlin’s stunning pace is due to Tesla’s software-like approach to the project. Thanks to this approach, the company is able to avoid the usual pitfalls of Germany’s construction initiatives.
Local reports point to the factory shell of Giga Berlin’s drive unit facility possibly being completed in less than three weeks. To meet this target, the Berlin staff reportedly communicate on an everyday basis with the company’s US team. These calls require the US team to be awake at around 3-4 a.m. local time, but Tesla nevertheless ensures that it is reachable by the Germany team during their work hours. Interestingly enough, Elon Musk himself is reportedly present in these calls, allowing him to get a clear outlook of Giga Berlin’s day-to-day progress.
Apart from these, Tesla has reportedly adopted a rather unique permit process for Giga Berlin. Instead of doing all permits at once like in traditional German construction projects, Tesla is reportedly using a system where many permits are requested in small steps, starting with a rough first design and moving on from there. This allows the company to work fast, while providing itself with enough space to adjust if it needs to. Voigt noted that this approach shows Tesla’s Silicon Valley roots, with the company pretty much building Giga Berlin like a software program.
Today, the Gigafactory Berlin site is busy with activity, with prefabricated panels being set up and numerous heavy machinery operating in the area. What’s quite remarkable is that Giga Texas, a facility that will likely be even more expansive than Giga Berlin, is moving at a pace that seems to be even faster than the Germany-based site. Gigafactory Texas was only confirmed less than a month ago, but drone flyovers of the Phase 1 zone in Travis County reveal that a leveled section of the area seems to be getting prepared for ground-breaking. Pile drivers have also been spotted on the Giga Texas site.
Watch a recent flyover of the Gigafactory Berlin site in the video below.
H/T Alex Voigt and @GF4Tesla.
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.
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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.
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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”
