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SpaceX Falcon 9 booster returns to port on upgraded drone ship
Upgraded SpaceX drone ship A Shortfall Of Gravitas (ASOG) returned to Port Canaveral on Tuesday, August 31st after a flawless inaugural Falcon 9 booster landing.
In a pleasant coincidence, the brand new drone ship was greeted by an even newer member of SpaceX’s rocket recovery fleet, which had arrived just hours before after bidding farewell to the Louisiana port it was upgraded at the week prior. Named after Doug Hurley and Bob Behnken, the NASA astronauts that helmed Crew Dragon on its crewed orbital launch debut, Doug was the first to arrive and reached its Port Canaveral berth around 9pm EDT on August 30th. Returning to port with a rocket on board for the first time, drone ship ASOG berthed beside Doug just 12 hours later.
Side by side, ASOG and Doug effectively represent the next evolution of at-sea recovery for SpaceX, a company famous for continuously striving for improvement and optimization.
Notably, confirmed unequivocally by a SpaceX engineer during NASA’s CRS-23 pre-launch briefing, a mission that was also ASOG’s very first, the drone ship has been designed to navigate to the correct position, precisely station-keep during landing, secure the landed booster, and transport that booster back to port “completely autonomously.” Up to now, every one of SpaceX’s 76 at-sea landing attempts to date has required a tugboat to tow the drone ship to the recovery zone and a second ship (usually GO Quest or NRC Quest) to support the crew of SpaceX technicians that maintain the drone ship, fix problems, and secure landed boosters.
In 2017, SpaceX improved those procedures to a degree and debuted a robot known as Octagrabber on drone ship Of Course I Still Love You (OCISLY). Designed to remotely grab the same Falcon booster ‘hold-down’ hardpoints used by the launch pad, Octagrabber allows SpaceX’s recovery team to remain safe aboard their support ship, avoiding the undeniable danger of working in close proximity to a sliding 25 ton (~50,000 lb) object in all but the worst conditions.
While Octagrabber has undeniably been a boon for the recovery crew, all SpaceX ocean recoveries since have still required tugboats and a crew support ship. Now, thanks to unspecified upgrades, SpaceX believes that A Shortfall of Gravitas will be able to recover Falcon boosters with zero human intervention. It’s likely that SpaceX will still need to arrange a tugboat and pilot to take ASOG to and from the mouth of Port Canaveral and humans will certainly still be involved in the process of retracting landing legs and lifting boosters off the drone ship, but what SpaceX proposes would still be a major upgrade.
However, perhaps the biggest hurdle for SpaceX to operate truly autonomous drone ships will be securing regulatory approval to do so. Perhaps anticipating that gap between technical and legal readiness, SpaceX has bought two new support ships – Bob and Doug – outright. Set to be the largest traditional ships in SpaceX’s fleet, Bob and Doug appear to be designed to do it all. Each outfitted with a large crane and winch, both ships should be able to recover Falcon fairings, tow drone ships, and host crews of technicians (if needed). Additionally, they appear to have space for a helipad and could potentially be modified to triple as Dragon recovery assets.
In other words, even if it takes a while before ASOG and Just Read The Instructions (JRTI) are able to operate autonomously, Bob and Doug should feasibly allow SpaceX to save money on recovery operations by combining fairing recovery, tugboat, and crew support roles into one vessel.
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”
