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SpaceX adds new ship to fleet after fairing catcher Ms. Tree nails second recovery in a row
In a telltale sign that SpaceX is growing much more confident in its ability to consistently recover Falcon 9 fairings, the company has accepted delivery of second recovery ship almost identical to GO Ms. Tree (formerly Mr. Steven) just days after nailing its second fairing catch in a row.
Previously known as M/V Captain Elliott, the new ship appears to have been acquired (or leased) by Guice Offshore (GO) from SEACOR Marine, who purchased Elliott from struggling marine services company Seatran Marine in 2017. One way or another, SpaceX now has a pair of Port Canaveral-based fairing recovery ships in hand – named Ms. Tree and Ms. Chief – and is thus making excellent progress towards catching and reusing both halves of the same Falcon 9 (or Heavy) fairing.
Splurging on ‘ships
Put simply, whoever is paying for or has paid for the two fast supply vessels (FSVs) that are now a part of SpaceX’s rocket recovery fleet has/had a tidy sum to spend. For ships as large, new, and high-performance as Ms. Tree and Ms. Chief, both completed in the mid-2010s, SpaceX or GO would be lucky to pay less than $10M apiece and each ship could easily cost more than $20M, depending on a variety of unknowns. Previous owner Seatran Marine is/was admittedly in dire financial straits, so that could have resulted in an effective fire-sale discount.
Regardless, this is to say that SpaceX was likely willing to splurge and open its wallet wide for extremely high-quality fairing recovery vessels because of just how expensive those fairings are. According to CEO Elon Musk circa 2017, it costs SpaceX $5-6M total to produce a set of Falcon fairing halves, equivalent to roughly 10% of the cost of a Falcon 9 launch ($50M-60M).
As an example, assume that SpaceX paid a full $50M for Ms. Tree and Ms. Chief – effectively a worst-case cost scenario. Assume that recovering and reusing net-caught Falcon fairings still costs half as much as building new fairings ($3M for two halves), also likely a worst-case scenario given the relative mechanical and propulsive simplicity of fairings.
In this mediocre-at-best scenario, it would still take SpaceX less than 20 launches with both halves recovered to completely recoup the cost of both fairing recovery ships. In the event that reusing caught fairings is only 25% as expensive as building new fairings, SpaceX could recoup its fleet investments in just 10 launches. In fact, cost reduction may even be a secondary consideration next to the potential for effectively doubling fairing production with the same facilities. From that perspective, spending, say, $50M on development and another $50M on cutting-edge recovery vessels could easily be a bargain, especially compared to the $1B+ SpaceX has spent deloping Falcon 9 booster reusability.
Fairing-catcher Mk4
With GO Ms. Chief’s August 10th arrival at Port Canaveral, SpaceX’s team of Florida-based recovery engineers and technicians will now be tasked with modifying the ship for Falcon fairing catching. SpaceX completed its first fairing recovery-focused modifications back in late 2017, likely producing what was the first version of fairing recovery tech (Mk1). The net proved to be far too small and was replaced in summer 2018 with a net and arms likely 4X larger (Mk2).
Roughly half a year and several missed catches after Mr. Steven’s Mk2 net was installed, the ship transited the Panama Canal and arrived at Port Canaveral in February 2019. Barely a week or two later, Mr. Steven suffered a failure at sea – well before a planned catch attempt – that saw the ship limp back to port missing the entirety of its net and two of four arms.
After another four months in port, SpaceX installed a third net and arms system on Mr. Steven, featuring distinct differences and apparent upgrades that likely make it Mk3. Shortly after installation and a quick renaming from Mr. Steven to GO Ms. Tree, Ms. Tree’s inaugural Mk3 recovery attempt culminated in SpaceX’s first and second successful fairing catches – back-to-back – on June 24th and August 6th.
Finally, this brings us to the blank slate that is GO Ms. Chief. Compared to Ms. Tree, both vessels are nearly identical: both are built by Gulf Craft, LLC, both are 205 ft x 34 ft (62m x 10m), both have decks rated for ~405 metric tons (900,000 lb), and have top speeds of 26-32 knots (30-37 mph, 50-60 km/h; fully-loaded vs. empty). The lone point of difference is power: Ms. Chief’s engines produce 500 more horsepower and its generators produce an additional 120 kW of power, respective improvements of 5% and 16% relative to Ms. Tree (Mr. Steven).
Despite both ships being nearly identical, SpaceX is unlikely to simply copy and paste Ms. Tree’s thus far successful arms and net, likely instead doing what the company is famous for and fabricating a new and improved variant of the fairing recovery mechanism. This would presumably translate to Mk4. Conveniently, SpaceX appears to be heading into a rare period of no launches, likely stretching almost three months from August 6th (AMOS-17) to late October.
If Mr. Steven and Ms. Tree’s transformations are anything to go by, that hefty chunk of time that should be more than sufficient to fully outfit Ms. Chief with a fresh fairing recovery mechanism, assuming SpaceX has been simultaneously fabricating the hardware in anticipation of Ms. Chief’s arrival.
For now, we’ll have to wait and see if SpaceX’s next launches – both believed to be 60-satellite Starlink missions – will mark the recovery debut of Ms. Chief, as well as the first attempted catch of both Falcon fairing halves. Additionally, following SpaceX’s second successful fairing half catch on August 6th, it’s possible that the company has two recovered halves capable of making a full, flight-proven fairing. Either way, a Starlink launch will likely support the flight-debut of a reused fairing and will almost certainly host the first attempted simultaneous recovery of both fairing halves.
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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”
