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SpaceX fairing catcher Mr Steven armless once more for maintenance and upgrades
SpaceX’s Falcon 9 fairing catcher ship Mr Steven has had all four new arms removed as the company’s recovery engineers and technicians continue to iterate on his fairing recovery mechanism and operational strategy.
The purpose of this round of arm removal is unknown, but the work going on at Berth 240 is nevertheless a fascinating glimpse into SpaceX’s preferred mode of operations, mainly focusing on constant improvement, tireless iteration, and minimized bureaucratic burden.
Two of Mr Steven’s arms were laying dockside yesterday. Perhaps adjustments due to last week’s fairing drop tests? Getting close to next fairing recovery attempt mid-September. #SpaceX #mrsteven @Teslarati pic.twitter.com/Ev3r2N2bBv
— Pauline Acalin (@w00ki33) August 19, 2018
Originally spotted testing the behavior of a Falcon 9 fairing half in Mr Steven’s new net around August 13th, West Coast recovery technicians had completely removed all four of the vessel’s large arms and all eight of his arm booms just one week later, leaving the boat armless for the first time in roughly two months.
The speed of that seemingly significant hardware removal alone is rather interesting, suggesting that routine removal of Mr Steven’s arms could be wholeheartedly feasible for short-term requirements, be it a clearance issue for traversing canals or perhaps even some sort of modular recovery setup that could optimize Mr Steven for catching Falcon fairings, Dragons, and perhaps even Falcon upper stages.
- A gif demonstrates just how taut Mr Steven’s net can be, thanks to mechanized rigging. 08/13/18 (Pauline Acalin)
- Mr Steven sans two arms, August 19th. Note the red and black inflatable structure floating at his bow. (Pauline Acalin)
- Just two arms and a dream. (Pauline Acalin)
- Mr Steven sans arms once more, August 21st. (Pauline Acalin)
Wild speculation aside, it can be said with certainty that the ability to remove Mr Steven’s arms so rapidly will make the lives and work of the technicians and engineers tasked with maintaining, testing, and improving the vessel’s recovery mechanisms considerably easier, demanding just a few days of work for complete disassembly. SpaceX CEO Elon Musk did note around the time of the upgraded arm and net installation that those new arms would be retractable and “springy, like a highly damped trampoline.”
The inclusion of large white damping booms to support that supposed springiness was indeed visually confirmed while SpaceX was testing the vessel’s net with a real Falcon 9 fairing, but it’s quite clear that no retraction mechanism was included on the first iteration of Mr Steven’s upgraded arms. Chances are good that this full-up arm removal is related in some way to Musk’s retraction reference, perhaps triggered by observations made during that aforementioned testing with a real fairing half, just days after which arm removal had already been half-completed.
Yes, and springy, like a highly damped trampoline
— Elon Musk (@elonmusk) July 11, 2018
Mr Steven’s next shot at catching a Falcon 9 fairing will follow the launch of Argentinian Earth-sensing satellite SAOCOM-1A, to be followed up soon after with the SpaceX launch of SAOCOM-1B. 1A is currently targeting late September or early October for its journey to orbit.
Meanwhile, the lightweight payload (~1600 kg/~3500 lb) and relatively low orbit (near-polar, 620 km/385 mi) have aligned to allow the Falcon 9 Block 5 booster the chance to be the first SpaceX rocket to debut the company’s West Coast rocket landing zone, companion to the pad’s two well-worn East Coast brethren.
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
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.



