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Tesla’s partner IDRA shares insights on the Cybertruck Giga Press’ potential
Tesla’s next generation of vehicles will be built on the back of the Giga Press, a machine capable of producing massive, single-piece casts for critical components like an electric car’s rear underbody. In a recent video, IDRA, the company building the house-sized die-casting contraptions, shared some insights on the daunting machine’s development, its advantages, and its upcoming iterations like the 8,000-ton Giga Press that will be used for the Tesla Cybertruck.
In a recently posted video, IDRA General Manager Riccardo Ferrario explained that the Giga Press is specifically designed to be as environmentally-conscious as possible. Developed over several years, the Giga Press could provide automakers with a number of key advantages, such as less investments, less handling of parts, better quality, less energy consumption, and lower CO2 emissions. Consequently, these are things that are incredibly important to a company like Tesla, which has established itself as the frontrunner in the sustainable transportation movement.
#GigaBerlin #Gigapress
An important statement from the IDRA 🇮🇹 Group General Manager.
" what is GIGAPRESS and wich are GIGAPRESS innovative goals"
2 of them are already built on the GIGABERLIN.https://t.co/IWtPOzuQhT pic.twitter.com/pscXGmqm27— Gigafactory Berlin News (@Gf4Tesla) April 1, 2021
Much like Tesla’s electric car lineup, the Giga Press family is only getting started. As explained by the executive, IDRA is still looking to expand the Giga Press family, and recently, the company was able to do just that. Just last month, Ferrario remarked that IDRA received the first order for its largest machine yet—an 8,000-ton Giga Press specifically designed to produce parts for larger vehicles like pickup trucks and SUVs.
The IDRA executive did not name its customer for the order, though all signs are pointing to Tesla, a company that has already purchased numerous 6,000-ton Giga Presses from the Italian company. Tesla CEO Elon Musk has also mentioned that the Cybertruck’s rear underbody would be produced by an 8,000-ton die-casting machine, which is significantly larger than the Giga Presses used for the Model Y.
“We have increased our range of machines to encompass also another world first—an 8,000-ton die-casting press. And it is with great pride that I can announce, we have done it. It’s no longer just a dream or drawings on paper. It’s now reality. A reality that IDRA and the team behind the Giga Press have been able to execute in a very short space of time following the very high demand of our customer from all around the world.
“The first-ever order for an 8,000-ton machine has now been received in March 2021. We are so excited about taking the idea of the Giga Press a step further and applying it directly to the SUV and truck market, which is an area, until now, not fully explored. Full electric trucks for transportation of goods used by companies such as DHL or Amazon can enlarge the market of Giga Press,” the IDRA General Manager said.
Tesla is currently putting the pedal to the metal on the construction of Gigafactory Texas, where the Cybertruck would be produced. As such, IDRA would have to put in a lot of effort to ensure that it can deliver its largest machine to date on time. If the executive’s message is any indication, however, it appears that IDRA is just as excited to push the limits of the die-casting industry just as much as Tesla is eager to push the limits of electric cars. This suggests that the 8,000-ton Cybertruck Giga Press might make it to Giga Texas at just the right time for the start of the all-electric pickup truck’s production.
Watch IDRA’s latest video on its Giga Press machines in the video below.
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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.
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”
