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Elon Musk shares first look at Tesla Model 3 white seats at factory
Elon Musk recently shared an image of Tesla’s Model 3 seats in volume, showcasing rows upon rows and floors upon floors filled with the compact electric car’s seats. Musk’s Twitter upload, which included a fun Rick & Morty reference due to the seats looking almost like an alien army, also features a rare look into the Model 3 Performance’s white seats at the factory.
What is my purpose? Sentient seats. pic.twitter.com/s9aHHyDoud
— Elon Musk (@elonmusk) June 23, 2018
Musk’s Twitter update came late Friday, as Musk prepared to spend the weekend traveling back and forth between the Fremont factory and Gigafactory 1. Musk jested on Twitter that he was playing Infinity Work, the Reality Game all weekend, before revealing that he would spend Saturday and Sunday working. Musk mentioned, however, that the recently-constructed GA4 line in the sprung structure at the Fremont factory’s grounds is doing great, but Tesla’s GA3 crew, tasked with the production of the Model 3, is “pulling off miracles against all odds.”
Particularly notable in Elon Musk’s recent Model 3 seats update is the confirmation that the company is starting to build more of the Model 3 Performance Dual Motor. Earlier this month, Musk posted an image of the first Model 3 Performance rolling off the company’s new assembly line. Considering that there are several rows of white seats featured in Musk’s recent tweet, it appears that the production of the top-tier variant of the compact electric car is ongoing. White seats, after all, are exclusive to the Model 3 Performance, at least for now.
The Model 3’s white seats have been a point of interest for many Tesla owners, considering that the option has proved popular for both the Model S and Model X, thanks to their clean, unique look, as well as their surprising capability to resist stains. In announcements earlier this year, however, Musk noted that white seats for the Model 3 would likely begin production in July, together with the start of the Performance and Dual Motor AWD’s production. Tesla appears to have hit two birds with one stone with GA4, however, as the company was able to start manufacturing both the Model 3 Performance and the white seats option ahead of their expected rollout date.
Apart from rows of Model 3 seats, Elon Musk also shared an image of the Fremont factory’s paint room for the compact electric car. With his trademark humor, Musk jested that the room looks very “sus” (short for suspicious) considering its red splattered windows. Musk also shared a brief video clip of the Model 3’s assembly line, featuring what the CEO called “vicious torque” from the machines building the compact electric cars.
Looks so sus when we paint cars red pic.twitter.com/SIO2nInjhJ
— Elon Musk (@elonmusk) June 23, 2018
Tesla factory rn pic.twitter.com/EbgRDhRZ0m
— Elon Musk (@elonmusk) June 23, 2018
Tesla manufactures its seats at a facility on 901 Page Ave., roughly three miles away from the Fremont factory at 45500 Fremont Blvd. During the company’s Q4 2017 earnings call last February, Musk mentioned that Tesla is looking to incorporate technology from The Boring Company to transport seats between Page Ave. and the main factory. During the earnings call, CTO JB Straubel noted that while Tesla is developing high-density and high-velocity lines for both factories, limitations emerge when it comes to transporting the seats from one facility to another. To solve this, Musk noted that Tesla is looking to build a tunnel that connects the two factories, which would allow the company to transport seats to Fremont without relying on conventional methods.
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.