Rumors have recently emerged from China suggesting that Tesla is looking to tap Switzerland’s Bühler as another Giga Press supplier. Similar to IDRA, Bühler is also a manufacturer of large-scale die-casting machines.
The rumor was initially shared by Tesla and EV industry watcher Chris Zheng on Twitter. Citing information from employees of a Chinese car startup, Zheng noted that China would have a number of vehicles in mass production next year that will be using integrated die castings like the Tesla Model Y. These companies reportedly benchmark and analyze Tesla and its vehicles.
“Tesla’s Giga press supplier will be replaced from Italy’s IDRA to Switzerland’s Bühler next year. The latter is also one of the world’s 6 largest die-casting giants. It rejected Tesla’s demand for a 6000t-level Giga press in 2019, but now their products offer better performance,” Zheng wrote on Twitter.
This is undoubtedly a rumor for now, though it is one that is extremely interesting. Teslarati has reached out to Tesla for a comment on the rumor and will update this story if or when we receive a response.
While the idea of IDRA being replaced by Bühler may sound too extreme, it is possible that Tesla would tap the resources of another die casting machine maker for its upcoming vehicle production ramp. Bühler is an interesting choice nonetheless, especially since the company was one of the firms that rejected Tesla’s proposal for a 6,000-ton Giga Press a few years ago.
Elon Musk himself mentioned this during the Cyber Rodeo event. According to Musk, Tesla had approach the world’s six top die-casting machine makers, and all but IDRA considered the construction of a Giga Press. Tesla has since proven that Giga Presses work, however, so it’s not surprising to see other companies also trying their hand at creating Giga Press-level machines.
“It’s a revolution in car manufacturing to basically make a car out of three major parts — a cast rear, a structural pack, and a cast front. So what you’re looking at are the biggest casting machines ever made. It’s kind of crazy thing to make a car this way. It’s never been done before.
“When we were trying to figure this out, there were six major casting manufacturers in the world. We called six. Five said’ no,’ one said ‘maybe.’ I was like ‘that sounds like a yes.’ So with a lot of effort and great ideas from the team, we’ve made the world’s biggest casting machine work very efficiently to create and radically simplify the manufacturing of the car,” Musk said.
A look at Bühler’s official website shows that the company is also developing giant die-casting machines that offer the highest productivity.
“Automotive manufacturers are currently rethinking production in many ways. Our Carat series enables them to put their ideas of even larger parts into reality, and we support our customers in developing the processes to do so. We see a huge increase in the demand for ever larger machines. With our Carat 840 and Carat 920 we can offer our customers solutions for large structural parts with complex geometries and new body-in-white parts,” Cornel Mendler, Managing Director of Bühler Die Casting, said.
Bühler’s Carat 840 and Carat 920 machines feature locking forces of up to 92,000 kilonewtons (kN). They are also designed to produce as little scrap as possible. “Bühler’s vision for the future of the die casting industry is: 0% scrap, 40% less cycle time, and 24/7 uptime. Advancing further towards this vision is even more important: The larger the castings, the bigger the lever to minimize production costs by reducing scrap, cycle time and increasing uptime of the die-casting system. The design of the Carat 840 and Carat 920 positively impact the quality of these complex, thin-walled parts which require an extremely powerful and accurate injection unit and a homogenous locking force application,” the company wrote in a press release.
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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”
