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SpaceX set to launch 40 satellites on fourth dedicated rideshare mission
SpaceX says a Falcon 9 rocket is on track to launch its fourth dedicated rideshare mission no earlier than (NET) 12:24 pm EDT (16:24 UTC) on Friday, April 1st.
Known as Transporter-4, SpaceX will launch the batch of 40 customer satellites out of its Cape Canaveral Space Force Station (CCSFS) LC-40 pad. Poor weather means that the company currently has a roughly 30% chance of favorable conditions on April 1st, improving to 50% on April 2nd and 80% on April 4th. Following the first NASA Space Launch System (SLS) rocket’s trip to a nearby launch pad, SpaceX also has to work around the agency’s plans to attempt an important wet dress rehearsal (WDR) test as early as April 3rd, preventing any launches that day.
SLS has already partially contributed to delays to Axiom-1 – the first all-private astronaut launch to the International Space Station – and could potentially disrupt Transporter-4 if weather or Falcon 9 fail to cooperate on Friday or Saturday.
Transporter-4’s payload of 40 satellites is the smallest number SpaceX has ever manifested on one of its dedicated rideshare missions. It’s unclear why so few satellites will be aboard, but one customer in particular likely explains why the company can launch such a small payload. That customer is Germany’s national space agency (DLR), which has manifested EnMAP – a hyperspectral Earth observation satellite – on Transporter-4. EnMAP itself is quite a bizarre case: the wildly overambitious smallsat was initially scheduled to launch as early as 2012 but has suffered a full decade of delays as endless issues arose. Painfully, those delays mean that EnMAP – a spacecraft largely designed before 2010 – is merely the latest in a long line of similarly capable satellites. Italy, for example, began work on an almost identically capable spacecraft – PRISMA – in 2008 and launched it in 2019 for ~$140 million.
According to one estimate, EnMAP’s cost has likely ballooned from ~$100 million to more than $330 million. In other words, it’s fairly reasonable to assume that SpaceX was able to charge DLR quite a bit more than Transporter-4’s other rideshare customers. SpaceX could have positioned it as a heavily discounted dedicated launch that just so happens to carry some secondary payloads – perhaps charging ‘just’ $15-30 million. EnMAP (950 kg or 2100 lb) is slightly heavier than the maximum weight SpaceX’s one-size-fits-all pricing allows for, but a customer with a similar 830 kilogram (1830 lb) spacecraft could launch it for as little as $4.6 million on a Transporter mission.
Of Transporter-4’s 40 payloads, at least 16 are using intermediaries like Spaceflight, Exolaunch, and D-Orbit, who then deal with SpaceX for the satellite owners. Excluding EnMAP, at least six other customers likely booked directly through SpaceX. Combined, total Transporter-4 revenue before EnMAP could be as low as ~$13 million. According to a SpaceX executive speaking in 2020, the total cost of a Falcon 9 launch with a recoverable, flight-proven booster is $28 million. Given that some executives have compared Transporter missions to public transit, it’s possible that SpaceX is willing to launch some rideshare missions even knowing they will lose money, but it’s hard to imagine it would burn $10-15 million (or more) instead of just delaying a few months to add more payloads.
Even though EnMAP is thus likely picking up all of financial slack, Transporter-4 is still a good demonstration of SpaceX’s flexibility – flexibility that current or prospective providers with much smaller rockets simply can’t match. With Falcon 9, SpaceX can just throw a 1-ton, $300 million spacecraft on top of a several-dozen-satellite rideshare mission and still recover both the booster and fairing without issue – all while charging its smaller customers a more or less unbeatable $1.1 million per 200-kilogram slot and $5500 for each additional kilogram.
SpaceX will begin streaming its first Transporter-4 launch attempt around 12:10 pm EDT (16:10 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.