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SpaceX wants to land its BFR spaceships “like a skydiver” on Earth and Mars
Speaking at the company’s Hawthorne factory, SpaceX CEO Elon Musk announced a new strategy for efficiently recovering its next-gen BFR’s upper stage, describing a process where the spaceship would rely on a number of unintuitive techniques to reliably land on planets or moons with appreciable atmospheres (i.e. Mars, Earth, Titan). In essence, BFS would end up gliding towards the surface in free-fall, controlling its orientation much like an Earthly skydiver.
True physics sim: Very high angle of attack during landing. pic.twitter.com/J0HouiUfPg
— NSF – NASASpaceflight.com (@NASASpaceflight) September 18, 2018
Several times throughout the BFR update and private lunar tourism announcement, Musk emphasized just how unintuitive the new procedures would be, stating that “it’s not like anything that people are familiar with – it’s not like an airplane.” His comparison with skydivers is actually rather apt for conveying why this approach is so unusual for a large, flying vehicle like BFR’s spaceship (BFS). Just like skydivers, BFS will have five main control surfaces to control its orientation, pitch, and general dynamics when operating in an atmosphere – two forward fins (like a skydiver’s arms), two rear fins (legs), and a body.
Also like a skydiver, those forward and aft controls are not aerodynamic in the sense of an airplane’s wing or tail fins – in the case of the skydiver and spaceship, they do not generate lift – in pilot and aerospace parlance, a surface that generates no lift is “stalled”. This is likely the main reason that Musk was so intent on conveying his feeling that the spaceship’s new flight regime was unintuitive – in the world of aerospace engineering, particularly for aerodynamicists, intentionally designed stalled control surfaces is almost oxymoronic, akin to an automotive engineer designing a car with square wheels. For all but fighter pilots, stalled aerodynamic surfaces are traditionally avoided like the plague, and can be frequently blamed for aviation-related fatalities.
BFS Update: Thinks they can get to 1100 m3 volume. Actuated fins/flaps. Control surfaces. pic.twitter.com/XNw3Yg0Fcq
— NSF – NASASpaceflight.com (@NASASpaceflight) September 18, 2018
Even to a layperson, the spaceship landing animation shown might look more like a rock uncontrollably plummeting to the ground than an advanced spaceship meant to land humans on Earth, Mars, and beyond. In essence, the proposal Musk laid out on September 17th takes the high-speed reentry characteristics of NASA’s retired Space Shuttle (aerobraking, S-turns, nose-up reentry), adopts a skydiver’s intuitive and efficient aerodynamic control scheme in free-fall, and replaces said skydiver’s parachutes with a group of high-performance rocket engines, as if a skydiver somehow managed to strap rockets to their feet to gently land on the ground.
SpaceX should have little trouble with the latter task thanks to 15 successful vertical landings of Falcon 9 and Falcon Heavy boosters (and many more to come), while the spaceship’s Shuttle-style orbital reentry profile may be new for SpaceX but has been tackled successfully in the past by other companies/agencies. Free-falling to a successful landing with permanently stalled control surfaces, however, will undoubtedly demand an extensive test campaign in Earth’s atmosphere before SpaceX even thinks of placing humans on the craft, something that Musk foreshadowed in a 2017 Reddit AMA focused on BFR.
“Will be starting with a full-scale Ship doing short hops of a few hundred kilometers altitude and lateral distance. Those are fairly easy on the vehicle as no heat shield is needed.” – Elon Musk, October 2017
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- (SpaceX)
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- BFS seen standing vertically on the pads of its tripod fins. (SpaceX)
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- BFR’s spaceship and booster (now Starship and Super Heavy) separate in a mid-2018 render of the vehicle. (SpaceX)
BFR’s design and the spaceship’s recovery profile may change further over the next 6-12 months, given that the team’s unintuitive freefall realization seems to be a fresh addition to the Mars rocket. Nevertheless, Musk and COO Gwynne Shotwell have publicly stated that they believe Grasshopper-style spaceship hop tests could commence as early as late 2019 or early 2020, with the first orbital BFR launches starting soon after in the 2020/2021 timeframe.
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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”
