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SpaceX to catch two Falcon 9 fairings at once with twin nets

In the last two weeks, SpaceX rapidly took Fast Supply Vessel (FSV) GO Ms. Chief from a blank slate to a nearly-complete twin of Ms. Tree (formerly Mr. Steven). (Greg Scott - @GregScott_photo)

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Over the last three or so weeks, SpaceX rocket recovery technicians and engineers have rapidly modified a second Falcon fairing recovery vessel – known as GO Ms. Chief – to the point that it appears to be almost ready for its first catch attempt.

Essentially a twin of GO Ms. Tree (formerly Mr. Steven), Ms. Chief now features four arms – each with two white support beams – that hold two massive, retractable nets. Ultimately, SpaceX has augmented Ms. Tree with Ms. Chief in a bid to simultaneously catch both parasailing halves of a Falcon 9 (or Heavy) payload fairing after any given launch, the Holy Grail of the company’s fairing recovery program.

A few days after the above photos were taken, SpaceX successfully installed Ms. Chief’s fairing-catching nets and has since taken the ship a few miles beyond Port Canaveral limits for sea trails – presumably meant to verify center of gravity and other performance characteristics. This may or may not have included tests of the newly-modified ship’s fairing recovery mechanism, referring to what is understood to be a direct link between fairing and ship designed to autonomously guide both to the right position for a catch.

Ensuring that that new hardware and software is in good working order is probably even more important than installing Ms. Chief’s arms and nets, evidenced by the fact that it took SpaceX more than 16 months and five failed attempts before Mr. Steven (now Ms. Tree) successfully caught its first fairing. The first success came on June 25th after Falcon Heavy’s third successful launch.

CEO Elon Musk posted a video – captured by drone – documenting Ms. Tree’s second successful Falcon 9 fairing catch ever. (SpaceX)

In an encouraging sign, SpaceX’s very next launch (with a fairing) – Falcon 9’s August 6th AMOS-17 mission – marked the second successful fairing catch ever, suggesting that the breakthrough(s) that enabled that first success may be broadly applicable. SpaceX’s next launch with a payload fairing should essentially confirm whether the company’s fairing recovery program has truly reached the end of the tunnel or if there is some distance still to go.

Since AMOS-17, however, SpaceX has been in the midst of a period of launch inactivity unprecedented since Falcon 9’s catastrophic Amos-6 failure in September 2016, triggering a fleet-grounding that lasted four months. That lull has undoubtedly given SpaceX’s recovery team plenty of time to outfit Ms. Chief and perform shakedowns of the vessel’s new hardware, but it also means that there have been zero opportunities for additional fairing-recovery data gathering.

According to publicly-available launch manifests, SpaceX no longer has firm dates for its next launch(es). Previously expected to be one or even two Starlink launches, those missions are now scheduled to launch sometime in October or November. The Kacific-1 communications satellite currently has a (fairly) firm launch target of November 11th, making the mission the best possible bet for SpaceX’s next launch – at least for the time being.

On the plus side, regardless of when SpaceX is able to break its now two-month-long launch hiatus, it appears extremely likely that said launch will become the first attempt at simultaneously catching both Falcon fairing halves. If successful, it could quite rapidly pave the way towards fast, low-cost fairing reuse, a necessity for the economic deployment of SpaceX’s Starlink satellite internet constellation.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk and Tesla AI Director share insights after empty driver seat Robotaxi rides

The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.

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Ashok Elluswamy

Tesla CEO Elon Musk and AI Director Ashok Elluswamy celebrated Christmas Eve by sharing personal experiences with Robotaxi vehicles that had no safety monitor or occupant in the driver’s seat. Musk described the system’s “perfect driving” around Austin, while Elluswamy posted video from the back seat, calling it “an amazing experience.”

The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.

Elon and Ashok’s firsthand Robotaxi insights

Prior to Musk and the Tesla AI Director’s posts, sightings of unmanned Teslas navigating public roads were widely shared on social media. One such vehicle was spotted in Austin, Texas, which Elon Musk acknowleged by stating that “Testing is underway with no occupants in the car.” 

Based on his Christmas Eve post, Musk seemed to have tested an unmanned Tesla himself. “A Tesla with no safety monitor in the car and me sitting in the passenger seat took me all around Austin on Sunday with perfect driving,” Musk wrote in his post.

Elluswamy responded with a 2-minute video showing himself in the rear of an unmanned Tesla. The video featured the vehicle’s empty front seats, as well as its smooth handling through real-world traffic. He captioned his video with the words, “It’s an amazing experience!”

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Towards Unsupervised operations

During an xAI Hackathon earlier this month, Elon Musk mentioned that Tesla owed be removing Safety Monitors from its Robotaxis in Austin in just three weeks. “Unsupervised is pretty much solved at this point. So there will be Tesla Robotaxis operating in Austin with no one in them. Not even anyone in the passenger seat in about three weeks,” he said. Musk echoed similar estimates at the 2025 Annual Shareholder Meeting and the Q3 2025 earnings call.

Considering the insights that were posted Musk and Elluswamy, it does appear that Tesla is working hard towards operating its Robotaxis with no safety monitors. This is quite impressive considering that the service was launched just earlier this year.

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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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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