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SpaceX Falcon booster completes 10th launch and landing in 19 months
Falcon 9 booster B1058 has successfully completed SpaceX’s Transporter-3 mission, acing its tenth orbital-class launch and landing in record time in the process.
The rocket lifted off as planned from Cape Canaveral Space Force Station (CCSFS) Launch Complex 40 (LC-40) at 10:25 am EST (15:25 UTC), Thursday, January 13th with 105 small satellites in tow, marking SpaceX’s third dedicated Smallsat Rideshare Program launch since January 2021. Beginning in 2022, the company aims to conduct three such rideshare launches annually, operating Falcon 9 a bit like an orbital bus service with the capacity for hundreds of small satellites from virtually any person, institution, or company on Earth – all for the unprecedentedly low price of approximately $5,000 per kilogram.
As such, it’s no surprise that SpaceX’s Smallsat Rideshare Program has received as much demand as it has. While relatively insignificant in the scope of the rest of the company’s substantial launch and services revenue, SpaceX has now safely delivered 323 small satellites to orbit for 100+ customers with just three dedicated Transporter missions. As an example, that means that in less than 12 months, SpaceX has launched about three times as many small satellites as dedicated small satellite launch company Rocket Lab has launched in the last four years. It’s no surprise, then, that Rocket Lab has already announced plans to develop a far larger, more reusable rocket after just 20 successful Electron launches.
Meanwhile, as dozens of other startups work on similar small rockets that aim to launch around 500-1500 kg to low Earth orbit (LEO), SpaceX – who began its existence developing the much smaller Falcon 1 rocket – almost immediately abandoned small rockets to focus on the much larger Falcon 9 and Falcon Heavy vehicles. Thanks to reusability, even a moderately loaded two-stage Falcon 9 with a flight-proven booster almost certainly costs SpaceX several times less per kilogram launched than a fully-loaded Falcon 1.
The booster that launched Transporter-3 is a perfect example. Depending on how one measures it, the launch likely cost SpaceX between $15M and $30M to deliver 105 satellites – likely weighing 3-4 tons total – to sun-synchronous orbit (SSO). SpaceX charges customers a fixed price of $1 million for a 200 kg (440 lb) slot on a Transporter mission, meaning that a 4-ton payload would theoretically net the company $20M. In comparison, in 2005, SpaceX was selling Falcon 1 – designed to launch 1 ton to LEO and ~400 kg to SSO – for the equivalent of around $8 million today. In other words, Falcon 1 customers would have paid about $20,000/kg versus $5,000/kg for a slot on a reusable Falcon 9.
The kicker: Transporter-3 was Falcon 9 B1058’s tenth orbital-class launch in just 19 months, averaging one launch every 59 days. Technically, before a major downtick in SpaceX launch activity beginning in mid-2021, B1058 had actually managed eight launches in less than a year – one launch every ~45 days. Transporter-3 isn’t even its first dedicated rideshare mission – the same booster launched another 133 customer smallsats on Transporter-1 almost exactly a year ago. B1058 has also launched two astronauts, two Dragons, a South Korean geostationary communications satellite, and approximately 290 Starlink spacecraft, amounting to around 120 tons (~260,000 lb) of payload delivered to orbit in a year and half – roughly equivalent to an entire Saturn V launch to low Earth orbit for a tiny fraction of even the marginal cost of the giant Moon rocket.
SpaceX has plans for another two Transporter rideshare launches later this year. The company has as many as three more Falcon 9 launches scheduled for the second half of January, including Starlink 4-6 on January 17th and Italy’s CSG-2 Earth observation satellite on January 27th. Starlink 4-7 is expected to launch around the same time as CSG-2.
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”
