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Tesla poised to streamline China’s Model Y production with next-gen casting machine
It appears that Tesla China is making the necessary preparations to adopt a streamlined production process for the Model Y, and perhaps even the Model 3, in Gigafactory Shanghai. Signs of such a strategy was recently revealed in a drone flyover from Tesla enthusiast Wuwa Vision, who was able to capture images of an extension to the Phase 1 building’s body stamping area.
The tail end of Gigafactory Shanghai Phase 1 is widely considered to be allotted for body stamping activities. The section was completed together with the rest of the Phase 1 building last year before the construction of the Phase 1.5 zone (a battery and powertrain assembly facility) started. Interestingly enough, the recent drone flyover shows that workers are now expanding the body stamping area.
What’s more, the construction in the body stamping workshop involves what appeared to be deep excavations, suggesting that the area will be hosting a large machine, or at least one that is larger than the ones used in the existing Model 3 line. Patents from Tesla and statements from CEO Elon Musk have hinted at such a process—one that can very well revolutionize the Model Y’s production in China.
Interestingly enough, the massive casting machine seems to be going to the Phase 1 building, which is widely believed to be allotted only for the Model 3. The reasons behind his have not been revealed by Tesla, though it’s plausible that the new casting machine may also be used for the Model 3’s production. Otherwise, this could suggest that the Model Y may begin production in the Phase 1 area, at least until Phase 2A is complete. Such a strategy would allow Tesla to start producing the crossover despite the second phase of Gigafactory 3’s buildout still ongoing.
Last July, a patent application from Tesla was published that pointed to the utilization of a giant casting machine for the production of electric vehicles. The new casting machine will feature a central hub to receive several dies that are then assembled into specific portions of a vehicle frame before being cast. The patent, in a way, reflected Elon Musk’s comments during his appearance at the Ride the Lightning podcast, where he discussed some of the manufacturing improvements in the Model Y.
“There are some manufacturing improvements for the [Model] Y. The rear underbody we’re moving to an aluminum…casting instead of a series of stamped steel and aluminum pieces. 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.
Musk has mentioned this large casting machine multiple times, including in his recent appearance at the Third Row Podcast, where he mentioned that the idea was amusingly inspired by a diecast Tesla Model S on his desk. Speaking about his thought process, Musk noted that he thought the Model S diecast “doesn’t cost much, and it looks pretty detailed.” Thus, he thought that it might be a good idea to “make this bigger.”
The Model Y’s giant casting machine and its results have been teased in the ongoing teardown of the vehicle from automotive veteran Sandy Munro. Compared to the Model 3, the Model Y’s casts are larger, and the body of the car seems far more refined. With such a system in place, Tesla would be able to produce the Model Y in a faster, more efficient manner. This is extremely valuable for Tesla, since the Model Y is poised to be its most high-volume vehicle yet, with Musk stating that the crossover would likely outsell the Model S, Model X, and Model 3 combined.
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.
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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.
Elon Musk and Tesla AI Director share insights after empty driver seat Robotaxi rides
Starlink passes 9 million active customers just weeks after hitting 8 million
