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JP Morgan admits Tesla’s Giga Press advantage, but posts strangely low output estimate
The advantages of Tesla’s Giga Press machines have been acknowledged by JP Morgan in a recent analysis, with the Wall St firm noting that the massive contraptions could very well be a game-changer for the electric car maker. However, amidst the firm’s optimism, JP Morgan’s analysis did feature something quite strange, particularly on estimates about the Giga Press’ annual output.
JP Morgan noted that it visited LK Tech, the largest die casting machine supplier in the market, for its analysis. The firm stated that it was able to meet the Founder and CEO of LK Tech and the Head of IDRA, the company’s Italian subsidiary that has so far provided Giga Presses in the Fremont Factory, Giga Berlin, and Giga Texas. Tesla’s Giga Shanghai has been spotted with Giga Presses that are branded with LK Tech.
JPMorgan analyses Tesla’s Giga Press 👇🏻$TSLA pic.twitter.com/cwc4eAzoMJ
— David Tayar (@davidtayar5) February 11, 2021
The Wall Street firm’s analysis showcased several insights that have been discussed by industry experts such as Sandy Munro in the past, such as the Giga Press’ capability to simplify Tesla’s vehicle assembly process by replacing 70 pieces of metal into a single-piece megacast. JP Morgan also acknowledged that with the Giga Press, Tesla could adopt a lightweight, cost-efficient, and more straightforward production process, giving it an edge against its competitors in the auto segment.
Things become more interesting when JP Morgan shared its estimates on the Giga Press’ output, however. In a section listed as “The Maths,” the Wall Street firm assumed that each Giga Press would be capable of producing one part every 4-5 minutes, or about 240-300 seconds. At this rate, the firm estimated that one Giga Press would have an annual output of 70-90k units, which meant that Tesla would need about 8-10 Giga Presses to manufacture 350k Model Y per year.
“Assuming the casting machine produces one body part every 4-5 mins, around 70-90k units of annual production can be generated from one Giga Press. Given two Giga Presses are needed for each Model Y (one front ad one rear body part), it is estimated that around 8-10 Giga Presses are needed for the production of 350k units of Model Y,” JP Morgan wrote.
This estimate is notably lower than what has been expected by the electric vehicle community, mainly since Die-Casting Machine #1 (DCM1), which was recently deployed in the Fremont Factory, has already been observed to have a cycle time of about 170-200 seconds as per drone videos of the contraption. This is already quicker than JP Morgan’s estimates, and this is also with the machine’s operations still being optimized.
Specifications of the Giga Press from IDRA also indicate that the machines could have a cycle time of ~80-90 seconds, allowing an output of 40-45 castings per hour or about 1,000 castings per day. Considering that Tesla is still in the process of mastering its house-sized machines, there seems to be a good chance that the electric car maker could produce 350k Model Y in one year using far less than 8-10 Giga Presses.
Check out DCM1’s operations as of late January 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”
