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SpaceX marine fleet kicks into high gear

ASOG arrival to Port Canaveral for the first time in July 2021 (Credit Richard Angle)

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As SpaceX looks to continue its quest to achieve over 140 launches this year, its marine fleet is functioning at an insane pace.

SpaceX currently operates a trio of autonomous spaceport drone ships, two fairing recovering ships, and two Crew/Cargo Dragon recovery ships.

A Falcon 9 returns to Port Canaveral aboard ‘Just Read the Instructions’ with Bob towing (Credit Richard Angle)

In years past, SpaceX has been able to comfortably launch missions and have plenty of time for a droneship to bring a Falcon 9 back to port before their next mission would be up and have time for crew rest, but with their increased cadence last year and into this year, SpaceX is starting to see record turnarounds between arriving back into port and disembarking for their next landing attempt.

The most recent example is the droneship ‘A Shortfall of Gravitas’ returning a Falcon 9 to port just ~50 hours after landing, traveling over 600km and through the Bahamas, unloading the Falcon 9 onto shore, and leaving back to sea for another Starlink mission the following evening with fairing recovery ship Doug tagging along to recover the fairings after their own trip back to Earth.

The other East Coast-based droneship, ‘Just Read the Instructions, ‘ also completed its own ~12-hour turnaround to support another Falcon 9 landing, with support ship Bob assisting in that fairing recovery. Over on the West Coast, the droneship, ‘Of Course I Still Love You,’ is already out at its respective landing zone to support a Starlink mission.

Having these vessels ready and out to sea gives SpaceX the chance to support a possible triple header later this evening, with three Falcon 9 launches possible within around five hours of each other.

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The fairing recovery ships, named after the NASA astronauts who completed the Demo 2 mission, Bob & Doug, stay consistently busy as well, helping recover fairings to save SpaceX the roughly $6 million it costs to make a new set. In some cases, these ships will stay out for two straight missions and return to port with 4 fairings. The ships also use their cranes to move recovery personnel onto the droneships. They are capable of towing them, but that is usually reserved for a dedicated tug boat that is hired by SpaceX.

Bob and Doug at Port Canaveral (Credit Richard Angle)

The Crew/Cargo Dragon recovery ships, also named after NASA astronauts Megan McArthur (Crew-2) and Shannon Walker (Crew-1), are out to sea pretty frequently. When not recovering Crews or science experiments in Cargo Dragons, they conduct many training exercises to keep their skills high.

Fairing recovery ship Doug with Dragon recovery ship Shannon (then named GO Navigator) (Credit Richard Angle)

Having these ships able to maintain such a fast pace is in itself impressive, as the ocean is unforgiving at times, as evidenced by the recently lost Booster 1058, which toppled over in rough seas and was lost.

As the launch count climbs, more and more pressure will be placed upon the fleet as they look to maintain their safety and fast-paced work, ensuring SpaceX can keep setting industry records.

Do you think SpaceX needs to add a couple more ships and maybe another droneship?

Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.

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Launch journalist, specializing in launch photography. Based on the Space Coast, a short drive from Cape Canaveral and the SpaceX launch pads.

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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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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. 

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Credit: Grok

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.

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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.

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