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SpaceX recovery ships head to sea for first 'whole-fairing' catch attempt
After a brisk day-long cruise into the Atlantic Ocean, SpaceX’s twin Falcon fairing recovery ships have reached the general landing area to prepare for their first true ‘whole-fairing’ catch attempt.
Formerly known as Mr. Steven, GO Ms. Tree and new sister ship GO Ms. Chief departed Port Canaveral on December 14th and arrived at their designated recovery roughly 36 hours later. Now stationed just shy of 800 km (500 mi) downrange of SpaceX’s LC-40 Cape Canaveral Air Force Station (CCAFS) launch site, the ships are in position and can begin to prepare for Falcon 9’s Kacific-1/JCSAT-18 launch.
Scheduled to lift off no earlier than (NET) 7:10 pm ET, December 16th (00:10 UTC, Dec 17), Falcon 9 will place the ~6800 kg (15,000 lb) Kacific-1/JCSAT-18 communications satellite in a geostationary transfer orbit (GTO). Falcon 9 booster B1056 will attempt its third landing around nine minutes after launch, to be followed 25 minutes later by satellite deployment from the rocket’s upper stage. deploying the satellite around thirty minutes after launch.
If all goes according to plan, another 12-15 minutes after Falcon 9’s second stage (S2) deploys the Kacific-1/JCSAT-18 satellite, the rocket’s payload fairing halves will begin their final approach towards recovery ships Ms. Tree and Ms. Chief. Just shy of identical twins, the two ships have been outfitted with custom arms, boom supports, and nets with the intention of quite literally catching payload fairing halves out of the air after orbital Falcon 9 (and Heavy) launches.
SpaceX’s fairing recovery development program has had a long and arduous journey from Mr. Steven’s (now Ms. Tree’s) arrival at the company’s Port of Los Angeles dock space (late-2017) to the ship’s first attempted fairing catch (February 2018) and first successful catch (June 2019). In the 20+ months SpaceX has been attempting fairing recoveries, at least a dozen intentional soft ocean landings and seven net catches have been attempted, with numerous successful splashdowns and recoveries ultimately followed by two consecutive catches in June and August 2019.
The fact that SpaceX consecutively caught two fairing halves a little over two months apart after five failed catch attempts suggests that the company has effectively solved the majority of the fairing recovery challenge, becoming the first company (or space agency) in the world to do so. Unfortunately, a three-month launch lull after the second successful catch precluded any rapid-fire follow-up attempts and when that lull came to an end on November 11th, Ms. Tree and Ms. Chief were both ready but were forced to abort the attempt by rough seas.
Both ships actually spent several weeks docked (or stranded) in a North Carolina port after that aborted mission, potentially indicating that SpaceX had to fly a team north to inspect both ships’ arms and ensure that they could make the journey back to Port Canaveral. They were ultimately cleared and returned to their home port around ten days later, where their arms and booms were immediately removed. It’s unclear why that removal occurred but SpaceX’s recovery team rapidly reinstalled their arms in just a few days, followed by their nets soon after.
Given that their first simultaneous (i.e. ‘whole-fairing’) catch attempt was aborted before it could start, it’s safe to say that December 16th’s hopeful attempt will be Ms. Tree’s and Ms. Chief’s first side-by-side recovery mission. Both ships have successfully reached the recovery zone, a step further than they managed to get on their November attempt. Coincidentally, that November launch happened to mark both SpaceX’s and the world’s first launch of a flight-proven payload fairing, both halves of which were recovered from the ocean and represented a more or less worst-case scenario for reuse.
And nevertheless, that reuse was a flawless success, marred only by the fact that Ms. Tree and Ms. Chief were unable to attempt to recover the world’s first twice-flown payload fairing. In short, all the conditions are right for what could be the world’s first successful recovery of both halves of an orbital-class payload fairing. If successful, SpaceX will have effectively closed the book on Falcon 9 and Heavy reusability development, having proven that both boosters and fairings can be reliably and routinely recovered and reused.
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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”
