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SpaceX bid Starship to launch NASA cubesat constellation
First discussed by SpaceNews, Teslarati can confirm that the mystery launch vehicle SpaceX bid to launch a tiny NASA satellite constellation was none other than Starship – a large, next-generation rocket still deep in development.
Back on February 26th, the space agency announced that it had awarded small rocket startup Astra $7.95 million to launch six small science satellites on three separate Rocket 3.0 flights. Known as TROPICS, NASA says the mini-constellation is designed to monitor tropical storms with a set of microwave sounding instruments. As a constellation, TROPICS will have an unprecedented revisit rate as low as 30 minutes, meaning that weather events could be observed as many as 48 times per day to improve forecasts and advance meteorology. All told, the MIT team estimates a total mission cost of $32 million and the six-satellite TROPICS constellation is expected to weigh no more than 56 kg (~124 lb).
In a routine source selection statement published by NASA on March 11th, reporter Jeff Foust was first to catch on to some oddities included in the brief. Notably, SpaceX was one of four companies to submit a viable proposal and enter the competition – not exactly shocking behavior. However, in the statement, the NASA contracting officer included information heavily implying that SpaceX didn’t propose to launch TROPICS on its proven workhorse Falcon 9 or Falcon Heavy rockets.
As Foust went on to note, the “weaknesses” raised to explain why SpaceX wasn’t chosen (namely an unproven, unlicensed launch vehicle with low schedule certainty) meshed suspiciously well with SpaceX’s next-generation Starship rocket. A source familiar with NASA launch procurement has now confirmed to Teslarati that SpaceX did, in fact, bid Starship to launch the TROPICS constellation.
Starship is currently in the early to middle stages of development, only recently graduated beyond short hop tests, and has yet to secure an orbital launch license from the FAA. While SpaceX CEO Elon Musk recently confirmed the company’s ambition to launch Starship on its first orbital mission(s) as early as July 2021, it’s safe to say that there is a huge amount of uncertainty in that schedule.
On the scale of Starship’s payload target of 100 metric tons to low Earth orbit (LEO), the TROPICS constellation is quite literally a rounding error. Assuming three separate launches are a fundamental requirement for the constellation, each Starship – a rocket substantially larger than a 737 passenger jet – would be carrying the equivalent of a single briefcase containing two shoebox-sized satellites.
While the source was unable to provide the specific price of the offer, they confirmed that SpaceX bid Starship and Super Heavy – not a single-stage-to-orbit Starship configuration as some later speculated. It’s still unclear if SpaceX intended to perform three separate launches or if Starship would have been capable of delivering the entire constellation in a single launch with the huge performance margins offer by such a tiny payload.
Notably, NASA’s selection statement revealed that the price of SpaceX’s Starship launch proposal was more expensive than Astra’s ~$8M offering but less expensive than a Rocket Lab proposal utilizing Electron. From a purely speculative angle, assuming three launches were a necessity, Rocket Lab’s bid would have been around $25M (Electron sells for around $7.5M), leaving SpaceX around $15-20M – not far off a $5M Starship launch cost target floated by company executives over the last few years.
Ultimately, SpaceX did lose out, but the fact that NASA considered a Starship proposal at all is impressive in its own right. TROPICS is scheduled to launch out of Kwajelein Atoll on three separate Astra Rocket 3 vehicles between January and July 2022
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”
