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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
Elon Musk and Tesla AI Director share insights after empty driver seat Robotaxi rides
The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.
Tesla CEO Elon Musk and AI Director Ashok Elluswamy celebrated Christmas Eve by sharing personal experiences with Robotaxi vehicles that had no safety monitor or occupant in the driver’s seat. Musk described the system’s “perfect driving” around Austin, while Elluswamy posted video from the back seat, calling it “an amazing experience.”
The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.
Elon and Ashok’s firsthand Robotaxi insights
Prior to Musk and the Tesla AI Director’s posts, sightings of unmanned Teslas navigating public roads were widely shared on social media. One such vehicle was spotted in Austin, Texas, which Elon Musk acknowleged by stating that “Testing is underway with no occupants in the car.”
Based on his Christmas Eve post, Musk seemed to have tested an unmanned Tesla himself. “A Tesla with no safety monitor in the car and me sitting in the passenger seat took me all around Austin on Sunday with perfect driving,” Musk wrote in his post.
Elluswamy responded with a 2-minute video showing himself in the rear of an unmanned Tesla. The video featured the vehicle’s empty front seats, as well as its smooth handling through real-world traffic. He captioned his video with the words, “It’s an amazing experience!”
Towards Unsupervised operations
During an xAI Hackathon earlier this month, Elon Musk mentioned that Tesla owed be removing Safety Monitors from its Robotaxis in Austin in just three weeks. “Unsupervised is pretty much solved at this point. So there will be Tesla Robotaxis operating in Austin with no one in them. Not even anyone in the passenger seat in about three weeks,” he said. Musk echoed similar estimates at the 2025 Annual Shareholder Meeting and the Q3 2025 earnings call.
Considering the insights that were posted Musk and Elluswamy, it does appear that Tesla is working hard towards operating its Robotaxis with no safety monitors. This is quite impressive considering that the service was launched just earlier this year.
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.
News
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.