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SpaceX scraps Florida Starship Mk2 prototype
SpaceX has scrapped the lone Starship prototype built in Florida in 2019, surprising very few.
Beginning a few months after work began on Starship Mk1 at SpaceX’s South Texas production facilities, a separate team in Cocoa, Florida was tasked with building a similar Starship Mk2 prototype. Not much is known about Mk2 relative to its much more publicized sibling but unofficial photos and videos taken over the course of 2019 suggested that SpaceX had effectively completed most of Starship Mk2 by the end of last year. However, built dozens of miles and several waterways away from a practical test facility, actually testing a Starship prototype assembled at SpaceX’s Cocoa facilities was always going to be an uphill battle.
To warrant the cost and effort that would be required to transport something as large as a vertical Starship from Cocoa, Florida to Cape Canaveral, Mk2 would have to be able offer something invaluable during testing. Now eight months after Starship Mk1 was destroyed during one of its first real tests, that was sadly not the case and SpaceX has chosen the simplest route forward – scrapping Mk2 where it sits.
In November 2019, SpaceX installed Starship Mk1 on a test stand in Boca Chica, Texas and began a series of tests. The ship passed an initial ambient temperature pressure test on the 18th but failed spectacularly during its first cryogenic proof test, said by SpaceX to have “pressurize[d] systems to the max.” Excluding Starhopper, Starship Mk1 was about as rough of a prototype as SpaceX could have feasibly built and the fact that it survived any length of time under cryogenic loads and pressures was fairly impressive.
Welded together almost entirely out in elements on the South Texas Gulf coast, the total success of Starship Mk1 (and its similar Mk2 sibling) would have flown in the face of almost every single tenet of modern aerospace production. As noted in a Teslarati article describing the Starship’s demise, the Mk1 production apparatus left plenty of room for improvement.
“[Videos of the failure implicated] the weld connecting the LOX dome to the cylindrical body of Starship’s LOX tank, pointing to a bad weld joint as the likeliest source of the failure. Although that hardware failure is unfortunate, Mk1’s loss will hopefully guide improvements in Starship’s design and manufacturing procedures.”
Teslarati.com — November 20th, 2019
That is precisely what SpaceX did – and was likely already doing – in response to Mk1’s failure. Just two months later, SpaceX successfully tested a steel Starship tank built in upgraded facilities with upgraded methods and reached pressures of 7.1 bar (~103 psi) before failing – likely a 50% improvement or better relative to Mk1. A second tank completed weeks later in late January 2020 reached 7.5 bar, sprung a leak, was repaired, and ultimately soared to 8.5 bar (~125 psi) before failing. Per CEO Elon Musk, that would technically be enough for a Starship to launch humans into orbit with an industry-standard ~40% safety factor.
Finally, SpaceX recently proved that a full-scale, two-tank Starship prototype built with the same methods and facilities as those test tanks could achieve the same results, completing a ~7.5 bar (~110 psi) cryogenic proof test with Starship SN4 on May 10th.
Long story short, the methods SpaceX used to build Starship Mk1 and Mk2 were already proven redundant more than six months ago and buried even deeper in May 2020. Aside from serving as a museum piece, Starship Mk2’s fate was sealed – the only real question was how and when it would be scrapped. For now, SpaceX’s Starship program will be almost exclusively stationed in South Texas, where it appears to be in good hands. Starship SN5 is currently expected to attempt its first wet dress rehearsal (WDR) and static fire tests no earlier than July 17th (today) at 8 am CDT (13:00 UTC).
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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”
