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SpaceX successfully catches first Falcon Heavy fairing in Mr. Steven’s/Ms. Tree’s net
After more than 18 months of concerted effort, SpaceX has successfully caught a Falcon fairing in Mr. Steven’s (now GO Ms. Tree) net for the first time ever, a massive milestone along the road to payload fairing reusability.
Falcon Heavy lifted off for the third time around 2:30 am EDT (05:30 UTC) on June 25th, successfully carrying 24 unique satellites – weighing ~3700 kg (8200 lb) total – into orbit atop a trusty Falcon upper stage. Known as Space Test Program 2 (STP-2), the Department of Defense (DoD) mission is incredibly important for a variety of reasons. Although Falcon Heavy center core B1057 was sadly unsuccessful in its attempt to land aboard drone ship Of Course I Still Love You (OCISLY), the rest of the mission (including fairing recovery!) is proceeding apace, with another 5+ hours to go before it is truly done.
Discussed on June 24th, this recovery attempt was a last-second surprise, coming on the heels of Mr. Steven being renamed to GO Ms. Tree, itself on the heels of a major refit with entirely new arms, booms, and a net.
“In a pleasant, last-minute surprise, SpaceX fairing recovery vessel Mr. Steven has departed Port Canaveral for its first Falcon fairing catch attempt in more than half a year. The speedy ship has already traveled more than 1250 km (800 mi) in ~48 hours and should soon be in position to attempt recovery of Falcon Heavy Flight 3’s payload fairing halves.
Over the last week or two, Mr. Steven has been officially renamed to GO Ms. Tree, a strong indicator that Guice Offshore (GO) – a company SpaceX is heavily involved with – has acquired the vessel from financially troubled owner/operator Sea-Tran Marine. With this likely acquisition, nearly all of SpaceX’s non-drone ship vessels are now leased from – and partially operated by – GO. The name change is undeniably bittersweet for those that have been following Mr. Steven’s fairing recovery journey from the beginning. However, it’s also more than a little fitting given that the vessel switched coasts and suffered an accident that forced SpaceX to replace the entirety of its arm-boom-net assembly. Much of Mr. Steven – now GO Ms. Tree – has been replaced in the last few months and with any luck, the vessel is better equipped than ever before to snag its first Falcon fairing(s) out of the air.”
— Teslarati.com, June 24th
Indeed, it’s more than a little bittersweet to see Mr. Steven’s first successful fairing catch – coming after more than a year of relentless work and countless failed catch attempts – must be attributed to GO Ms. Tree, a new name bestowed upon the vessel after it was purchased from its ailing owner by Guice Offshore (GO).
Regardless, who-did-what-when is just a pittance in the face of the massive achievement SpaceX’s fairing recovery team have pulled off today. With this first fairing catch, SpaceX can begin properly analyzing the condition of a truly flight-proven, salt water-free fairing half, hopefully allowing the company to conclude that they can be reused with relative ease. True fairing recovery and reuse would ultimately be a boon for all SpaceX missions, but would particularly benefit the company’s own Starlink launches, cutting the cost of a new fairing from each internal mission’s marginal cost.
Given that Mr. Steven (GO Ms. Tree) was able to catch this fairing half under moonlight, it bodes quite well for future daytime recoveries. SpaceX’s next East Coast launch with a payload fairing is expected no earlier than late July.
Want to remember the awesomeness of Falcon Heavy every single day? Consider a limited-edition set of high-quality prints, signed by both Teslarati photographers to commemorate the rocket’s inaugural Starman launch.
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.
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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”
