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SpaceX sets dates for Starship static fire, high-altitude launch debut
CEO Elon Musk says that SpaceX is set to attempt one final Raptor engine static fire test before putting Starship through its high-altitude launch debut later this week.
Liable to begin as soon as November 30th per public road closure notices, Musk says that Starship serial number 8’s (SN8) launch debut – both Starship’s first fully-assembled flight test and first high-altitude launch attempt – is now scheduled no earlier than (NET) 8 am to 5 pm CST (UTC-6) on Wednesday, December 2nd.
November 30th will instead host what is believed to be a unique kind of static fire test for Starship SN8, hopefully proving that the rocket has a decent shot at surviving its risky launch debut.
As previously discussed on Teslarati, SpaceX’s Starship development strategy means that SN8’s survival is far less important than it may seem.
“On November 25th, Starship SN9 (featuring “small improvements”) was stacked to its full 50-meter (~165 ft) height. If SN8 is destroyed during testing, SN9 will likely be ready to roll to the launch site almost as soon as the dust settles.
Meanwhile, Starship SN10 is likely just 7-10 days away from a similar nosecone stacking milestone, and Starship SN11’s tank section is just one stack away from completion, likely putting it less than two weeks behind SN10. In other words, insofar as speed is a priority and each prototype is anywhere close to as cheap as Starship’s majority-steel bill of materials might suggest, SpaceX is building Starships so quickly that it almost doesn’t make sense to spend more than a few weeks working through bugs on any single suborbital ship.”
Teslarati.com — November 25th, 2020
In fact, delaying SN8’s launch to try to refine the rocket in situ and better ensure success could actually be to the detriment of successive prototypes and the Starship program in general. If, for example, a fundamental design flaw is revealed in Starship SN8 only after the prototype’s first test flight, SpaceX could be forced to scrap a huge amount of work done on as many as six, seven, eight, or even more subsequent prototypes. In that since, while it may seem like caution maximizes the value any single Starship prototype can provide SpaceX, that’s only true as long as the Starship design is mature enough that new fundamental flaws are unlikely to arise.
Given how young SpaceX’s agile Starship development program is, it would make very little sense to hinge months of work and more than half a dozen rocket prototypes on the quality and success of a less mature prototype unless all the vehicles in question are more or less identical final products. SN8 through SN15+ are certainly not final products in the sense that Starship is meant to be the largest reusable orbital spacecraft ever built.
As such, the Starship program is probably better off if SpaceX pushes vehicles to failure as quickly as reasonably possible. Having now spent more than two months at the launch pad while no less than three full-scale prototypes rapidly approach a similar level of completion, Starship SN8’s test flow is likely an overcorrection from a haphazardly rushed schedule to extreme caution.
Along those lines, SpaceX is now hopefully set on launching Starship SN8 within the near future. First, though, the company apparently plans to attempt another Raptor engine static fire test on Monday, November 30th. Scheduled between 7 am and 9 pm CST, the test has been described as a “handoff” static fire, referring to the process of switching each Raptor engine’s propellant feed from Starship’s main tank to much smaller ‘header’ tanks reserved for landings.
What exactly that handoff refers to is unclear. It could mean that SN8 will switch from main tanks to header tanks during a Raptor static fire test, though it’s unclear why that capability would be necessary unless Starship’s current header tank design is too small. “Handoff” could also refer to the process of switching between main and header tanks between Raptor operations – far more likely. In other words, Starship SN8’s Monday testing might involve two back-to-back static fires, performed with no human intervention. If successful, such a handoff static fire would simultaneously test Starship’s ability switch propellant sources and perform multiple Raptor engine ignitions – both necessary for a launch and landing.
Musk himself believes that Starship SN8 has a ~33% chance of successfully launching, reaching apogee, stably ‘skydiving’ ~14 km (~9 mi) back to Earth, reigniting Raptor engines, and landing in one piece. It’s unclear what will happen in the seemingly unlikely event that SN8 survives, but Starship SN9 is practically nipping at the relatively ancient prototype’s heels.
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”
