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SpaceX Falcon Heavy beats out ULA Vulcan rocket for NASA Moon rover launch
SpaceX’s Falcon Heavy rocket appears to have edged out competitor United Launch Alliance’s (ULA) next-generation Vulcan Centaur launch vehicle to send a NASA rover and commercial lander to the Moon in 2023.
Back in August 2019, not long after NASA first began announcing significant contracts under its Commercial Lunar Payload Services (CLPS) program, startup Astrobotic announced that it contracted with ULA to launch its first small “Peregrine” lander and a dozen or so attached NASA payloads to the Moon in 2021. Rather than the extremely expensive but operational Atlas V rocket, the startup instead chose to manifest Peregrine on the first launch of Vulcan Centaur, a new ULA rocket meant to replace both Atlas V and Delta IV Heavy.
Less than two years later, Astrobotic has decided to purchase a dedicated launch from SpaceX – not ULA – for even larger “Griffin” lander that aims to deliver NASA’s ice-prospecting VIPER rover to the Moon and kick off the exploration of permanently-shadowed craters at its south pole.
Back in August 2019, Astrobotic’s announcement stated that “it selected United Launch Alliance’s (ULA) Vulcan Centaur rocket in a [highly competitive commercial process].” It later became clear that the Peregrine lander – while still scheduled to be sent directly to the Moon on a trans-lunar injection (TLI) trajectory – would not be the only payload on the mission. None of Vulcan Flight 1’s other payloads are known, but the presence of other paying customers helps explain how Vulcan beat SpaceX for the contract.
More importantly, companies willing to risk their payload(s) on new rockets have historically been enticed to overlook some of that first-flight risk with major discounts. In other words, in the often unlikely event that a company manages to sell a commercial rocket’s first launch, it’s incredibly unlikely that the same rocket will ever sell that cheaply again.
That appears to be exactly the case for ULA’s Vulcan Centaur rocket, which secured a lunar lander contract for its launch debut only to lose a similar lunar lander launch contract from the same company – well within the range of Vulcan’s claimed capabilities – less than two years later. If SpaceX’s relatively expensive Falcon Heavy managed to beat early Vulcan launch pricing, there is virtually no chance whatsoever that Vulcan Centaur will ever be able to commercially compete with Falcon 9.
In fact, back in 2015 when Astrobotic began making noise about its plans to build commercial Moon landers, the larger Griffin was expected to weigh some 2220 kg (~4900 lb) fully-fueled and – when combined with SpaceX’s Falcon 9 workhorse – be able to land payloads as large as 270 kg (~600 lb) on the Moon. It’s unclear if that figure assumed an expendable Falcon 9 launch or if it was using numbers from the rocket’s most powerful variant, which was still a few years away at the time.
Either way, NASA’s VIPER lander – expected to have a launch mass of ~430 kg (~950 lb) – is a bit too heavy for a single-stick Falcon 9 flight to TLI. It’s also reasonable to assume that Griffin’s dry and fueled mass has grown substantially after more than half a decade of design maturation and the first Peregrine lander reaching the hardware production and assembly phase. While Falcon 9 narrowly falls short of the performance needed for Griffin/VIPER, a fully recoverable Falcon Heavy is capable of launching more than 6.5 metric tons to TLI, offering a safety margin of almost 100%.
Astrobotic says it has purchased a dedicated Falcon Heavy launch for Griffin-1 and VIPER, but it would be far from surprising to see one or multiple secondary payloads find their way onto a mission with multiple tons of extra capacity. Presumably assuming that its Q4 2021 or early 2022 Peregrine Moon landing debut is successful, Astrobotic and SpaceX aim to land Griffin-1 and NASA’s VIPER rover on the Moon as early as “late 2023.”
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”
