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SpaceX’s Starship facilities, Raptor testing, and more shown off in new video
SpaceX has teased a video highlighting all aspects of its next-generation Starship rocket, ranging from new views of the Starship Mk1 prototype in Boca Chica to slow-motion clips of Raptor engine static fire tests in McGregor, Texas.
2019’s International Astronautical Congress (IAC) has included multiple SpaceX presentations, culminating on October 22nd with a discussion panel featuring SpaceX COO and President Gwynne Shotwell. Aside from offering some excellent details on the progress being made by SpaceX Starlink program, Shotwell also debuted a new Starship-centric video, featuring a range of new views of SpaceX’s next-generation rocket development program.
IAC 2019 attendee Trevor Mahlmann was able to stream the bulk of the panel, including Shotwell’s minute-long Starship program redux. Aside from a new perspective of Starhopper after its second and final test flight, perhaps the most notable new footage offered a select few glimpses of Starship Mk1’s build process. Drone timelapses and video taken from inside Starship’s tank section – prior to the installation of its third and final dome – are a strong confirmation that SpaceX is constantly acquiring high-quality footage throughout the development program.
Additionally, a back-to-back series of new videos of Raptor engine static fire testing may have been a sort of highlight reel of Raptor SN06 – the first engine to successfully make it through SpaceX’s preflight test regime – before it supported Starhopper’s final flight test in August 2019. It could nevertheless be any number of engines, as SpaceX continues to build and test Raptors at an accelerating rate.

Meanwhile, beyond Shotwell’s October 22nd discussion panel, SpaceX Principal Mars Development Engineer Paul Wooster revealed additional previously-unseen views of Starship – this time in the form of a lunar landing render. This particular render featured an unusual setup in which Starship appeared to have opened garage door-style hatches along its hull after landing on the Moon, revealing what can be assumed to be cargo bays.

In an even weirder twist, a large Moon rover appears to be heading to the lunar surface on a section of Starship’s detached hull that has been transformed into an ad-hoc elevator. The quality of the screenshot is subpar but there are no obvious strings or wires, suggesting that the implied elevator is some sort of track built directly onto the exterior of Starship’s hull. What is likely an astronaut stands on the surface, awaiting the delivery if their fresh Moon rover.
It’s unclear if the recent burst of Starship-related disclosures and teasers from SpaceX executives and senior employees is a glimpse behind the curtains or a sign of a new stage of seriousness and company-wide interest in the next-generation rocket, but it doesn’t look like it’s going to be stopping anytime soon. Up next for Starship is a critical 20 km (12 mi) flight test that will use the Mk1 prototype to determine whether SpaceX’s exotic skydiver-like recovery method is a viable option for landing on Earth and Mars. A different SpaceX presenter indicated that that test flight could occur as early as December 2019.
If successful, SpaceX CEO Elon Musk has said that the very next Starship flight test could be the spacecraft’s first attempted orbital flight. It’s far more likely that many more test flights – possibly including Super Heavy booster hops – will occur before an orbital launch attempt is made. Still, Musk believes that it could occur as few as six months from now, while Shotwell (often known for her more down-to-earth approach to schedule estimates) stated at IAC 2019 that she hoped it would occur “within a year”.
Starship’s first operational cargo mission to the surface of the Moon would then follow as early as 2022.
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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.