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The Year of the ‘Giga Press’: How Tesla’s monster machines can complete Elon Musk’s 2nd Master Plan
One of the most exciting developments from Tesla eagerly awaited by the electric car community is the company’s use of its giant casting machines. Dubbed by its maker IDRA as the “Giga Press,” the house-sized monster machines are capable of producing single-cast pieces for Tesla’s vehicles, starting with the Model Y.
The Giga Press lives up to its name. Its physical footprint is formidable, measuring 20 meters x 7.5 meters x 6 meters. It also weighs a whopping 430 tons, or about five Space Shuttles. So massive is the Giga Press that it takes up to 24 flatbed trucks to transport its components.
When operating, the Giga Presses are no slouch, as they have a cycle time of ~80‒90 seconds, which translates to an output rate of 40‒45 completed castings per hour, or about ~1,000 castings per day. That’s over 300,000 castings per year, per machine.
A Platoon of Giga Presses
So far, Tesla has set up two Giga Presses on the grounds of the Fremont Factory. Flyovers of the site show that the two machines are already set up, though it remains to be seen when they would formally be deployed. Over in China, three other Giga Presses have been spotted in the Giga Shanghai complex, though the units were reportedly built by LK Machinery, IDRA’s parent company.
But what is rather remarkable is that Tesla has several more Giga Presses in order. Sandy Munro, in a recent interview with electric vehicle advocate Sean Mitchell, noted that he has heard through the grapevine that Tesla has ordered 11 more units of the Giga Presses. Previous reports point to Giga Berlin receiving eight of the machines, and flyovers at the Giga Texas site seem to reveal three isolation pits for the monster machines in the area.
Needless to say, the Giga Press is poised to become a key part of Tesla’s Gigafactories from now on. As Tesla rolls out its single-piece cast design for the vehicles in its lineup, the company’s platoon of Giga Press machines will likely play an even bigger role. This role will likely become prominent starting next year, 2021.
The Year of the Giga Press
Tesla has always been a rebel of sorts, and this became extremely prominent this year. 2020 will likely be known as the year when the world stopped, and automakers suffered deep wounds due to the pandemic. Tesla, being a company that has always swum against the current, thrived instead of dropped. It is even poised to end the year as the newest member of the S&P 500.
But 2020 is only the beginning of a new chapter in the Tesla story. With the company now on more stable footing, the electric car maker can focus on executing its ramp for 2021. This ramp would likely involve Tesla aiming to produce close to, or perhaps up to, a million vehicles in one year. Such a ramp would require the full deployment of its Giga Press machines.
There is little doubt that Giga Press No.1 and No.2 at the Fremont Factory will be deployed fully soon. Giga Press No.3, No.4, and No.5 at Gigafactory Shanghai will likely be operational in early 2021 as well. And with Gigafactory Berlin likely starting Model Y production sometime next year, there is a good chance that several of its Giga Presses would go live next year as well. These, as well as the speculated machines in the Cybertruck Gigafactory in Texas, should allow Tesla to turn 2021 into the year of the Giga Press.
A Multi-Segment Approach
Tesla is a company with a big goal, one which focuses on the Master Plan of its CEO. So far, Tesla has pretty much completed Elon Musk’s first Master Plan, but Part Deux still needs some worth to accomplish. This is especially true for one aspect of the CEO’s target—expanding the company’s vehicle product line to address all major segments.
So far, Tesla has vehicles that compete in the large sedan, midsize sedan, SUV, and crossover market. This is one of the reasons why there is still so much more for Tesla to do. Granted, the Cybertruck will address the pickup market, the Semi will address the long-haul segment, and the new Roadster will compete in the supercar market. But there are still other segments to tap. One of these is the compact car market, which is populated with small, low-cost vehicles that are extremely aggressively priced.
Tesla and Elon Musk have both noted that the company will be producing a $25,000 electric car that is smaller and cheaper than the Model 3. Such a vehicle would likely be equipped with the best innovations that the company can offer for it to be profitable. These include low-cost and disruptive tabless 4680 battery cells and massive single-piece casts that are produced with the Giga Press. And considering that both Giga Shanghai and Giga Berlin seem poised to produce the $25,000 Tesla, there seems to be a good chance that the company’s Giga Press platoon is only bound to get bigger in the near future.
Watch Sandy Munro and Sean Mitchell’s conversations about Tesla and its innovations 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.
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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”
