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SpaceX’s Mr Steven just misses catch, returns with intact Falcon 9 fairing
SpaceX appears to have successfully retrieved both halves of a Falcon 9 payload fairing intact, despite failing to catch them with recovery vessel Mr Steven.
Near the end of the company’s Iridium-6/GRACE-FO launch webcast, SpaceX engineer John Insprucker said that Falcon 9’s two payload fairing halves had both successfully deployed their parachutes and landed in the Pacific Ocean, also stating that Mr Steven “came very close” to success in an attempt to catch a fairing half in an upgraded net. The vessel’s return to port confirmed this, showing both fairing halves on board Mr Steven’s long utility deck, apparently intact and in great condition aside from saltwater immersion.
Per SpaceX VP of Mission Assurance Hans Koenigsmann, anything more than incidental exposure to sea spray appears to preempt any attempt at fairing reuse, meaning that perfectly intact fairing halves recovered from the surface of the ocean are incapable of flying on future commercial Falcon 9 missions. While he did not go into detail, it’s probable that SpaceX’s inability to reuse ocean-retrieved fairings derives from the extremely clean environments satellites are designed to survive in. Before reaching the vacuum of space, arguably the ‘cleanest’ environment that exists, satellite payloads (be it cameras, antennae, solar panels, can be generalized as extraordinarily sensitive collections of electronics and sensors that remain in clean-room environments throughout their time on Earth. This extends to the environment inside the payload fairing, and cleaning a fairing from seawater organics, particulate matter, and the general risk of outgassing would likely be so expensive and tedious that it would run counter to SpaceX’s goal of lowering the cost of launch with reusability.
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- Both fairing halves from SpaceX’s Iridiium-6/GRACE-FO spied aboard Mr Steven after docking. (Pauline Acalin)
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- While unreusable due to seawater immersion, it’s possible that these halves will take part in a drop test campaign mentioned by CEO Elon Musk. (Pauline Acalin)
Although they cannot be operationally reused, these and past halves presumably have been or will be invaluable as hardware pathfinders, assisting engineers and technicians in their pursuit of ultra-precise, reliable landings in Mr Steven’s net.
Mr Steven, a shiny new Fast Supply Vessel, has been extensively modified by SpaceX in its role as recovery vessel, most notably including massive claw-arms and a large, yellow net intended to allow the boat to catch parasailing payload fairings just before they impact the ocean surface. This requires an impressive level of accuracy and precision, given the fact that SpaceX’s payload fairings are typically traveling more than two kilometers per second at a peak at altitude of anywhere from 100-200 kilometers (functionally in space) at the point of separation, while Mr Steven’s net (the landing target) is at least a magnitude smaller than even SpaceX’s drone ships. With that in mind, it should come as little surprise that SpaceX has required ten or more failed attempts to get to the point where they are confident that a fairing half can successfully be captured in Mr Steven’s net.
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- By all appearances, both Iridium-6/GRACE-FO fairing halves were retrieved intact from the ocean surface. Note the tiny technician installing a tarp inside one half. (Chuck Bennett, Instagram @chuckbennett)
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- SpaceX’s fairing recovery vessel Mr Steven captured at high speed from a drone. (SpaceX)
Given how close SpaceX apparently was this time around, it’s all but inevitable that one of the next two or three California launches will feature the first truly successful fairing catch, paving the way for routine reuse of the ~800 kg, $3m halves. SpaceX’s next launches from Vandenberg Air Force Base are tentatively scheduled for the first half of July, late September, and October.
Thanks to Chuck Bennett for permitting Teslarati to use several of his photos of Mr Steven’s sunset return to Port of San Pedro. Follow him at his Instagram account @chuckbennett.
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”
