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Volvo to adopt “Tesla style” megacasts for its next-gen electric vehicles
The use of Giga Presses may be considered futile and ill-conceived by Tesla skeptics, but it appears that some veteran automakers are currently preparing to adopt the technology for their next generation electric vehicles. First up seems to be Volvo, which recently noted that its Torslanda factory in Sweden, one of the company’s oldest and largest plants, would be shifting to the use of megacasts within the coming years.
Similar to Tesla, which practically pioneered the use of megacasts by using them for the Model Y, Volvo would be using the massive components for its next-generation electric vehicles. In a statement to Automotive News Europe, Volvo Solution Architect Vehicle Platform Mikael Fermer remarked that the use of megacasts is one of the company’s biggest technological shifts. “This is the biggest technology shift since we switched from wood to steel (for car bodies),” Fermer said.

The Torslanda factory is one of Volvo’s most historical sites, having been opened in April 1964. The facility is expected to receive numerous changes during its transition into an electric vehicle factory. A battery assembly plant would be added to the site, which would allow the automaker to integrate battery cells and modules to the floor structures of its upcoming EVs.
Volvo’s head of engineering and operations Javier Varela noted that the shift to the use of megacasts could result in 75% time savings compared with how large aluminum body components are traditionally put together today. “You avoid the stamping and welding processes and replace them with a megacasting process that is a one-shot injection followed by some tweaks after the injection,” Varela said.
Varela also noted that ultimately, the use of megacasted parts should allow Volvo to enjoy some sustainability benefits. “All the aluminum that you are injecting is used. You don’t have any scrap like you do with stamping,” Varela added.
While exciting, the utilization of megacasts in Volvo’s Torslanda plant is expected to start around 2025. By this time, the factory would likely also be ready to start the full production of the company’s next-generation EVs. Today, the Torslanda plant produces vehicles like the Volvo XC90 and XC60 SUVs, as well as the V90 station wagon.

Interestingly enough, it is not just Volvo that is looking to adopt megacasts in their future vehicle production. Other automakers such as German luxury car maker Mercedes-Benz is reportedly looking to utilize single-piece casts as well. Mercedes-Benz is reportedly looking to utilize megacasts to form the rear of its EQXX concept, which made its debut in Las Vegas last month during CES 2022.
Volvo is yet to announce if it is also purchasing Giga Presses from the IDRA Group, the company currently producing Tesla’s machines. That being said, the automaker did state that it was speaking with leading machine manufacturers to help the company make the switch to megacasts at the Torslanda site. No final decisions have been made yet, however, according to a Volvo spokesperson.
Volvo is looking to make half of its global vehicle sales from battery-powered cars by 2025. By 2030, the company plans to be an electric-only carmaker. To help foster and accelerate this transition, Volvo has announced investments totaling over $4 billion over the past two years.
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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.
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.
News
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.