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SpaceX’s Falcon 9 returns to Earth in first on-site media photos of rocket recovery
Thanks to the introduction of a brand new rocket landing pad (LZ-4) less than half a kilometer (~0.3 miles) from SpaceX’s SLC-4 Vandenberg launch complex, members of the media attending the launch were given the first opportunity ever to capture a Falcon booster recovery with remote cameras.
Battling the possibility that SpaceX might forbid landing photos entirely or that Vandenberg’s infamous fog banks would forbid them in a different sense, cautious optimism was ultimately warranted, and picture-perfect weather lead to both an extraordinary light show over much of California and the successful capture of the first unofficial remote images of a Falcon 9 landing.
SpaceX landed a booster at Vandenberg for the first time, in case you hadn’t heard! Here are a few frames from one of my remote cameras aimed at the landing zone (LZ-4).#spaceX #SAOCOM1A @Teslarati pic.twitter.com/w2FMM5DJRQ
— Pauline Acalin (@w00ki33) October 8, 2018
Following successful separation from Falcon 9’s upper stage and the SAOCOM 1A satellite payload, booster B1048 immediately began a rapid 180-degree flip maneuver, igniting either one or three of its Merlin 1D engines to begin its journey back to the launch site. After cancelling out a velocity of roughly 2 kilometers per second in the wrong direction, B1048 dropped almost straight down from a peak altitude of ~50 km to the landing zone, punctuated by a reentry burn used to protect the rocket from the brunt of atmospheric reentry heating.
A bit less than eight minutes after launch, the first stage broke through the sound barrier, began a single-engine landing burn, deployed its landing legs, and came to a gentle rest at Landing Zone-4, B1048’s second successful launch and landing. Thanks to the low-energy orbit, relatively small satellite, and Falcon 9 Block 5’s healthy performance margins, B1048 likely experienced the most forgiving recovery conditions since SpaceX began landing and reusing boosters, making the rocket a prime candidate to be the first SpaceX Falcon 9 booster to fly three times.
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- Falcon 9 B1048’s SLC-4E launch and LZ-4 launch in one camera frame. (Pauline Acalin)
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- Teslarati’s own Pauline Acalin managed to capture a number of extraordinary photos of launch and landing with her remote cameras. (Pauline Acalin)
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- Falcon 9 B1048.2 landed at LZ-4 after its second successful launch. (SpaceX)
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- It’s second landing marked the debut of SpaceX’s LZ-4 landing zone. B1048 may be a prime candidate for SpaceX’s first triple booster reuse. (SpaceX)
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- Falcon 9 B1048 landed at LZ-4 after its second launch and is now being refurbished on the opposite coast. (SpaceX)
Even more so, the fact that B1048 landed barely ~2000 feet from SpaceX’s SLC-4 hangar – where it will be inspected and refurbished – will be a boon for rapid and affordable reusability, thanks to the fact that SpaceX does not have to operate any complex ships, shut down public roads, or transport the recovered rocket more than a few thousand feet. SpaceX confirmed as much during its SAOCOM 1A webcast.
Not yet officially on the schedule, SpaceX’s next Vandenberg launch is expected to be Spaceflight Industries’ SSO-A rideshare mission, carrying around 70 individual satellites of varying masses. Chronically delayed by the complexity of wrangling 70 different spacecraft into a single fairing and – more recently – minor issues with rocket availability, several of SSO-A’s passengers have provided a tentative launch date of November 19th, 2018. If SpaceX is planning to reuse B1048 a third time with SSO-A, that will demand a record-breaking turnaround for the booster, as few as 42 days between landing #2 and launch #3.
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
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”
