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NASA to retry Artemis I Moon rocket launch on Saturday
NASA says it has alleviated issues that arose during its first Space Launch System (SLS) Moon rocket launch attempt and will try again as early as Saturday, September 3rd.
Measuring around 98 meters (~322 feet) tall and capable of launching up to 95 tons (~210,000 lb) to low Earth orbit, the SLS rocket’s first launch – Artemis I – will attempt to send NASA Orion spacecraft on its way to lunar orbit. If all goes to plan, a partial prototype of the deep space crew transport vehicle will enter orbit spend several weeks around the Moon, where it will attempt to prove that Orion is safe and ready to launch NASA astronauts.
Approximately six years behind schedule and tens of billions of dollars over budget, the combined Orion spacecraft and SLS rocket were originally expected to debut in 2016 when Congress legally required NASA to develop the combined system in 2011. It would be difficult for the stakes to be much higher.
Now, after an unsuccessful August 29th launch attempt that turned into a wet dress rehearsal test as a result of poor planning, NASA is ready to try again.
SLS is scheduled to lift off from NASA’s Kennedy Space Center (KSC) LC-39B pad no earlier than (NET) 2:17 pm EDT (18:17 UTC) on Saturday, September 3rd. Like the first, the window lasts for two hours, providing some flexibility for NASA to troubleshoot any other minor problems that might crop up during the second launch attempt.
During the first SLS launch attempt, several problems arose, including a possible crack in Core Stage foam insulation, a misbehaving vent valve, a hydrogen fuel leak, and weather concerns that delayed the start of propellant loading by more than an hour. The most important problem, causing NASA to abort its first attempt at T-40 minutes to liftoff, involved Core Stage engine chill systems.
At the time, available data suggested that one of the Core Stage’s four modified and flight-proven Space Shuttle Main Engines (known as RS-25) was unable to chill down to the temperatures required for safe ignition. In a September 1st press conference, after more analysis, NASA now says that the rocket was, in fact, correctly trickling liquid hydrogen fuel through all four engines and that all engines were likely ready to go. The agency and its contractors say they are confident that the true cause of the unfavorable readings was a faulty temperature sensor.
In an earlier press conference, senior officials noted that the Boeing-built SLS Core Stage is designed in a way that makes those faulty temperature sensors virtually inaccessible without major work – and certainly not while the rocket is still at the launch pad. A rollback to NASA’s Vehicle Assembly Building (VAB) could easily delay the next SLS launch attempt by 4-6 weeks, if not longer.
Perhaps as a result of the looming consequences of another rollback, instead of sending the rocket back to fix the newly discovered sensor issue, NASA officials now say they never actually needed the broken sensor and can get by without it working properly. That doesn’t entirely explain why NASA fully aborted an SLS launch attempt as a direct result of not liking the data produced by said sensor a few days prior. Nonetheless, the officials say that by analyzing several other unspecified telemetry readings within the RS-25s and SLS plumbing, they can effectively infer that the engines have been chilled to the right temperature.
In theory, if no other issues arise in the remaining 40 minutes leading up to launch, that should allow NASA to confidently launch SLS without having to replace components deep within the rocket.
NASA will begin live coverage of its next SLS launch attempt on NASA TV at 5:45 am EDT (09:45 UTC), followed by a separate hosted broadcast (the agency’s first attempt at a 4K launch webcast) beginning at 12:15 pm EDT (16:15 UTC).
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”
