There’s a saying in Texas that everything is bigger. New details about Tesla’s manufacturing plant just outside of Austin, known as Giga Texas, reveal that everything really is bigger in the Lone Star State, and Tesla is on its way to having the largest automotive manufacturing facility in the United States.
CEO Elon Musk detailed yesterday that the upcoming manufacturing plant just minutes outside of Austin will be “almost a mile long when complete,” making it so large that you likely have to see it to believe it. The automaker is nearing initial production at the plant, which is scheduled for later this year. While the world’s leading electric automaker might not produce a massive volume of vehicles at Giga Texas this year, you can bet that it will be one of Tesla’s biggest advantages in automotive manufacturing, especially in the United States, where demand for the company’s vehicles continues to grow.
I was at Giga Texas yesterday. Team is making excellent progress. Building will be almost a mile long when complete.
— Elon Musk (@elonmusk) July 25, 2021
On the list of the largest factories in the United States provided by RList, the massive 2.612 million square foot facility that Kia operates in West Point, Georgia, sits on more than 2,200 acres of land and had a hefty price tag of $1 billion. Kia has operated this plant since 2009, and it has remained the largest manufacturing factory in the United States since that time.
However, Giga Texas just may have the size to displace the massive Kia plant, putting it into second place if Musk’s calculations are true. After purchasing an additional 381 acres of land adjacent to the already 2,100 acres Tesla owned, the company is already planning to set its most advanced facility on the largest piece of land that a factory sits on in the country. 2,481 acres will outfit the estimated 1.7 million square feet that the main structure will sit on. The second facility will be an additional 900,000 square feet, with the final building tacking on another 1 million square feet, swamping the Kia facility with an estimated 3.6 million square feet of manufacturing floor space for Tesla to roam around on, a million square feet larger than the Georgia plant.
Dawn on Monday at GigaTexas! ?
Do you think we’ll get more details on Giga Texas & Berlin, Cybertruck, Model Y and Semi later today at the 2nd quarter results meeting?
Q2 2021 Update: https://t.co/AzftlaLG1N
? @JoeTegtmeyer pic.twitter.com/i3z6embrFZ— Austin Tesla Club (@AustinTeslaClub) July 26, 2021
To put this into perspective, the Tesla Fremont factory is only 510,000 square feet — and growing. However, Tesla’s flagship facility in the Northern California landscape has been a challenge for the automaker as production efforts increase and demand follows suit. The company has opted for temporary (and now permanent) spring structures to expand manufacturing space.
Musk added that Giga Texas is roughly seven stories tall, with every floor being “double in size.” Additionally, he expects the facility to grow by about 500 feet over time. He did not detail how he expects the facility to continue growing, but it could have something to do with the highly-speculated Project Bobcat that was listed in the Texas State public filings just a few months ago.
When Giga Texas begins production later this year, it will be responsible for Model Y, Cybertruck, Model 3, and Semi production for the Eastern half of North America.
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”
