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SpaceX transports fifth Starship prototype to the launch pad
SpaceX has at long last transported its fifth full-scale Starship prototype to a nearby launch pad, kicking off a week of busy pre-test preparations while the sixth rocket is already nipping at its heels.
Starship SN5’s move to the pad ends the longest gap between full-scale prototype testing since Starship Mk1 was destroyed in November 2019, a partially-expected failure that began a more than three-month period of infrastructure upgrades. The first upgraded Starship (SN1) rolled to the pad on February 25th, followed by SN3 on March 29th and SN4 on April 23rd, indicative of a fairly consistent monthly cadence of Starship production (and destruction).
Almost exactly two months after its predecessor headed from the factory to SpaceX’s Boca Chica, Texas launch facilities, Starship SN5 has taken its place on a brand new launch mount. The cause of that month-long delay is fairly simple. When Starship SN4 exploded on May 29th, it damaged the existing launch mount and some additional ground support equipment (GSE), forcing SpaceX to scrap the destroyed mount and build a new one from scratch. In a matter of weeks, SpaceX’s crack team of pad engineers and technicians have done exactly that.
While, judging from several sets of canceled road closure days, the new mount wasn’t built quite as quickly as someone high up in SpaceX would have hoped, the speed of the recovery from SN4’s destructive demise is still extremely impressive. For full-scale operations, SpaceX needs a strong metal structure capable of providing a Starship prototype the propellant, power, and communications links it needs to perform tests, as well as standing up to the weight of a full-loaded Starship (>1000 metric tons) and preventing the rocket from flying away during static Raptor engine tests. Additionally, the launch mount will eventually need to survive the fury of one and even three Raptor engines once Starships graduated to flight testing.
As of June 3rd, the replacement launch mount was partially-completed steel skeleton.
Barely two weeks later, SpaceX had flipped that skeleton, installed it on the actual launch mount table, finished all structural work, installed a conical frame to enable hydraulic ram testing to simulate Raptor engine thrust, and outfitted the mount with a wide variety of complex plumbing, wiring, and fixtures. The current design is about as simple as it can get but is still relatively complicated, with a wide range of systems that must work perfectly together throughout an equally wide range of temperatures and other stressful conditions.
Starship SN5’s installation on that replacement mount serves as a final confirmation that the new structure is more or less complete. Now SpaceX will be faced with the different challenges of christening the new launch mount and ensuring that it’s functioning as planned at the same time as Starship SN5 is attempting to do the same thing. The company also appears to have taken the previous launch mount’s demise as an opportunity to implement some minor design changes, all of which will also need to be tested and verified.
Delays are quite likely but Starship SN5 is currently scheduled to kick off its first test campaign as early as June 29th. SpaceX will likely begin with an ambient pressure test to check for leaks, followed by a cryogenic proof test with liquid nitrogen to confirm that SN5 performs as expected while subjected to the ultra-cold temperatures its liquid methane and oxygen propellant will be kept at. SN5 would then move into wet dress rehearsals (WDR) with live propellant and one or several static fires with a single Raptor engine. Finally, if that complex series of tests goes a little bit better than it did with SN4, Starship SN5 will become the first full-scale prototype to attempt controlled flight, hopping to at least 150m (~500 ft).
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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”
