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Tesla Giga Texas production moves closer as paint shop machinery arrives
The initial production runs at Tesla’s Giga Texas facility are moving closer to reality. A new drone video from a local resident shows Giga Texas’s paint shop facility is set to begin construction soon as paint application machinery has arrived on site.
With Tesla scheduled to begin production at Giga Texas later this year, crews are on-site daily to complete what will be Tesla’s largest production facility to date. One of Giga Texas’s primary focuses is completing the work of the main structure, which appears to be coming along at a reasonably fast pace, something Tesla has displayed at its other manufacturing facilities in China and Germany. With Giga Texas several months into construction, specific areas of the facility are beginning to be erected as the first production runs move closer with every passing day.
A new shipment of containers was spotted at the facility on Monday evening by YouTube channel Terafactory Texas, who spotted seven large boxes that appear to be housing several elements of what will be the Giga Texas paint shop.
Three of the containers say “TC Mod, while three others say “E-Coat.” The final container says “Top Coat,” meaning all seven containers are likely headed to the paint shop as their descriptions align with machinery that would be found within an automotive paint application facility.
E-Coat, or electrocoating, also known as electropainting in some regions, is a process used in automotive paint shops everywhere. For several years, Tesla has used this process as evidence points to a 2012 blog post from the electric car manufacturer.
Credit: Terafactory Texas | YouTube
The company detailed its paint process to ensure quality and corrosion protection:
“First, a Body-in-White is submerged into our pre-treatment bath where the aluminum gets prepared for its first treatment layer. We then dip Model S into a 75,000-gallon tank of advanced electro-coating solution to enhance the appearance of subsequent paint layers. After this e-coat dip, the car goes through a 350° F oven to ensure a “baked on” protection against corrosion.”
E-Coating is a process that has been used for around 50 years, according to ClearClad.com. Originally used to apply an anti-corrosive coating to steel car bodies, the process is now used for various consumer goods like hardware, jewelry, eyeglass frames, and giftware, among several other things. Electrical activity around the vehicle’s surface makes paint resin stick directly to a surface, creating a strong bond between the car and the paint.
TC Mod could stand for “temperature control module,” which would indicate that these containers are carrying HVAC units that are ideal for paint shops. In order for paint to have a strong bond and set correctly on an automotive body, it must be applied and dried in certain conditions. These modules would ensure that Tesla’s paint application process is done at correct temperatures, eliminating any possibility of a weak paint application.
Tesla has worked extremely hard to improve the quality of its paint shops. After paint quality was among the most common complaints from owners, Tesla managed to revamp its facility at the Fremont factory last year as the pandemic slowed production. Several applications acquired by Teslarati showed that Tesla was working to increase fire protection efforts within the paint shop, among some other projects. It worked, as the paint has improved according to some owners, including veteran teardown expert Sandy Munro, who was extremely impressed with the quality of his Model 3’s paint job during a recent drive across the country.
Giga Texas is expected to handle Model 3 and Model Y production for the Eastern half of North America. It will also manufacture the Tesla Cybertruck in either late 2021 or early 2022.
https://youtu.be/N2WG8BoD4c0
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”
