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SpaceX Falcon 9 launch and landing scrubbed by wind as drone ship battles high seas
SpaceX’s CRS-19 Falcon 9 launch and landing has been scrubbed by wind conditions miles above the ground at the same time as the rocket’s drone ship landing platform battles high seas in the Atlantic Ocean.
SpaceX decided to stand down from Wednesday’s launch attempt for NASA’s CRS-19 International Space Station (ISS) resupply mission due to unacceptably high upper-level winds. Previously scheduled to lift off around 12:51 pm ET (16:51 UTC) on December 4th, NASA and SpaceX have recycled the mission and are now targeting 12:29 pm ET (16:29 UTC) on December 5th, slightly different to account for the ever-changing position of the ISS.
In rocketry, upper-level winds have always been a bit of a problem: different air currents at different altitudes can produce an effect akin to running sideways along a series of treadmills, dramatically increasing the risk of a rocket’s structure failing under longitudinal loads. At the same time, drone ship Of Course I Still Love You – set to recover Falcon 9 booster B1059 shortly after its launch debut – is dealing with high seas in the Atlantic Ocean, raising the risk of the booster suffering damage during landing or even toppling off the deck.
CRS-19 features a flight-proven Cargo Dragon capsule (C106) that has visited the ISS not once, but twice. It previously completed SpaceX’s fourth and eleventh Commercial Resupply contract missions in 2014 and 2017 and will be the second time a twice-flown Dragon capsule heads to orbit for the third time. After berthing at the ISS around December 8th (assuming a Thursday launch), Dragon will depart the ISS and land in the Pacific Ocean sometime in early January, about a month after arriving at the station.
Along with a recycled Dragon capsule, the CRS-19 mission will feature a fresh-from-the-factory Falcon 9 booster – in this case, B1059.1. New Falcon 9 boosters have become a rarity in 2019, and this mission’s only flight-proven hardware will actually be the orbital spacecraft, Cargo Dragon.
B1059.1 is the first fresh Falcon 9 core to be flown since the STP-2 Falcon Heavy in June of 2019. The booster is expected to return for landing aboard the autonomous spaceport droneship Of Course I Still Love You.
Science On Board
Waiting patiently atop Falcon 9, Cargo Dragon is loaded with almost 5800 pounds (2650 kg) of cargo, including more than 250 science investigations and technology demonstrations to be performed on the ISS. Investigations include a look into the process of malting barley seeds (i.e. beer) in a microgravity environment to hopefully improve the process on Earth and explore possible nutritional use for future long-duration space missions.
Another prominent investigation – Rodent Research-19 or “Mighty Mice in Space” – is sending live mice to the ISS to investigate a preventative measure to prevent muscle and bone loss caused by long-term microgravity exposure, potentially aiding astronauts on long-duration space missions. According to NASA, “this therapeutic approach may be optimal in conditions characterized by both muscle and bone loss. Hence, this therapeutic strategy may have significant advantages for certain applications, including treatment of muscle and bone loss during spaceflight.”
SpaceX will provide a webcast of the launch attempt that will go live about 15 minutes prior to liftoff, NET 12:29 pm ET (16:29 UTC), December 5th.
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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”
