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The Model Y is an understated Trojan Horse for Tesla’s manufacturing ambitions
The launch of the Tesla Model Y is, in several ways, an understated and undramatic event. There were no surprise vehicles at the end of the crossover’s presentation, nor were there any announcements about the number of pre-orders the electric car maker received for the seven-seater. Tesla has been pretty quiet about the Model Y since, too, as updates on the crossover have mostly come through insider reports and patent applications from the company.
It is through these patent applications that one could see the potential of the Model Y to revolutionize Tesla’s overall manufacturing operations. A look at two patents that are tailor-fit for the Model Y, for example, suggests that Tesla will be adopting a far more innovative production process for the vehicle compared to its past electric cars, including the mass-market Model 3 sedan, a vehicle that is essentially carrying Tesla into its current transition into a mainstream car manufacturer. With this in mind, the Model Y could even be described as a Trojan Horse of sorts, carrying the electric car maker’s innovations (mostly) under the radar.
One of these innovations is a rigid wiring system that will allow Tesla to drastically reduce the wiring of the Model Y compared to its older stablemates. Using the company’s design outlined in its patent, Tesla is expected to use only around 100 meters of wiring for the Model Y, far less than the 1.5 km of cabling used in the Model 3. Such a design also aids the company’s automation initiatives, as the rigid wiring harness will be easier to install by the company’s robots.
Another, even more notable innovation lies in a patent for a “Multi-Directional Unibody Casting Machine for a Vehicle Frame and Associated Methods” that seems to have been teased by company executives in the past. Elon Musk has mentioned that the company’s new casting machine will have the capability to cast pretty much the entire body of a vehicle in one piece, essentially eliminating the need for numerous welds across the body. “When we get the big casting machine, it’ll go from 70 parts to 1 with a significant reduction in capital expenditure on all the robots to put those parts together,” Musk said.
These new innovations outlined in Tesla’s patent applications hint at the Model Y being the company’s first vehicle to adopt such designs in its wiring and casting. This is great news for the company’s upcoming vehicles like the Tesla Pickup Truck, the Semi, and the next-generation Roadster, all of which will likely benefit from these optimizations. More importantly, this is also great news for the Model 3.
Tesla’s struggles with the Model 3 ramp in the United States have been well-documented, as the company had to abandon a widely-automated approach to producing the vehicle to one that was more balanced between humans and machines. With the Model Y, Tesla could essentially start anew and experiment with more ambitious and manufacturing models once more. Fortunately for the Model 3, the vehicle shares about 75% of its parts with the Model Y, which means that production improvements that work for the crossover would likely be applicable for the midsize sedan as well.
The Tesla Model Y’s manufacturing revolution might begin sooner than expected, especially with the start of production at the company’s Gigafactory 3 site in Shanghai. Gigafactory 3 is designed to produce affordable versions of the Model 3 and Model Y for the Chinese market, suggesting that the facility will be optimized for speed and volume. It would then be interesting to see how Tesla produces the Model 3 (and later, the Model Y) on the site, as it could provide a glimpse at how much the company has improved based on lessons learned from the electric sedan’s ramp in the United States.
H/T Long Term Tips.
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”
