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Tesla's Elon Musk updates worldwide Gigafactory naming convention
CEO Elon Musk said that Tesla will start referring to its Gigafactories using the word “Giga” and then adding the mostly understood location name.
The Tesla chief tweeted about the new naming convention Friday night. At the moment, Tesla has three operational Gigafactories and expects to begin construction of a fourth Gigafactory near Berlin soon.
Setting a convention on how Gigafactories will be referred to will help avoid confusion as mainstream media, consumers, and Tesla fans usually refer to these facilities as Giga followed by the number based on the date the factories went online. Others also refer to the factories as Giga followed by either the country or city where the factories are located.
Going with nomenclature of Giga [most widely understood location name] vs Giga #, so Giga Shanghai, Giga Nevada, Giga New York & Giga Berlin
— Elon Musk (@elonmusk) January 25, 2020
The Gigafactory 1 will now be called Giga Nevada. This facility broke ground in June 2014 just outside Sparks, Nevada and is primarily focused on designing and producing batteries for Tesla. In 2018, the said Gigafactory became the highest-volume battery plant in the world with an annualized rate of roughly 20 GWh. Tesla’s battery acquisitions to help produce batteries that will ultimately extend the range of its vehicles are proving to be well worth their costs as they are helping the brand dominate competitors in the future.
The Gigafactory 2 in Buffalo will now be referred to as Giga New York. This 1.2-million sq. ft facility is key for producing the Solar Roof Tiles and the Powerwall. Tesla is stepping on the pedal this year and begins 2020 by offering its solar customers incentives in its latest referral program update.
Meanwhile, its Gigafactory 3 in China will simply be called Giga Shanghai. Tesla’s first car factory outside of the United State has now achieved a run rate of 3,000 units per week according to the company’s most recent updates. The Shanghai factory will be key in conquering the biggest automotive market in the globe and should help the brand in exploring other markets in Asia.
In the same conversation on Twitter, Musk chimed in on the issues hounding the upcoming Gigafactory 4 in Grunheide which will now be referred to as Giga Berlin. The Tesla chief clarified that its first factory in Europe will not be using 372 cubic meters of water per hour as implied by those expressing concerns that Tesla might cause water supply issues in the community, and the carmaker is also trying to shed light on the confusion that it’s clearing a natural forest to build a factory for its green cars.
“Sounds like we need to clear up a few things! Tesla won’t use this much net water on a daily basis. It’s possibly a rare peak usage case, but not an everyday event. Also, this is not a natural forest — it was planted for use as cardboard & only a small part will be used for GF4,” Musk wrote.
“…Giga Berlin will build sustainable energy vehicles using sustainable energy, so net environmental impact will be extremely positive,” he added.
Tesla hopes to begin construction of the Giga Berlin in March. It is expected to create around 8,000 jobs for locals and and interested workers from across the region. The car factory will produce 150,000 vehicles during its initial phase and is expected to up production to 500,000 units in the future.
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”
