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SpaceX’s next West Coast Falcon 9 landing could be decided by baby seals
SpaceX and the Canadian Space Agency (CSA) have – at long last – officially announced a launch date for the Radarsat Constellation Mission (RCM), a ~$1B trio of Earth observation satellites.
Delayed from November, February, March, and May, RCM is now scheduled to launch on a flight-proven Falcon 9 booster from California’s Vandenberg Air Force Base (VAFB) no earlier than June 11th. The three flight-ready spacecraft were shipped from Canada in September 2018 and have now been awaiting launch in a Southern California storage facility for more than half a year. The blame for such an egregious delay can be largely placed on SpaceX, but CSA and launch customer Maxar Technologies are also partially responsible. On a lighter note, the location of RCM’s subsequent Falcon 9 landing might end up being decided by seal pupping – baby harbor seals, in other words.
Although RCM’s slip from 2018 to 2019 remains unexplained, the mission’s journey from mid-February to mid-June is a different story. Still, next to nothing is publicly known about the process SpaceX launch customers go through after contracts have been signed, particularly with respect to how Falcon boosters are assigned to missions. This is further stymied by the fact that – to date – the ~$1 billion RCM is probably the most valuable payload SpaceX has ever attempted to launch, making it a clear outlier. But, as they say, “damn the epistemological torpedoes!”
Rocket logistics hell
RCM’s logistical hell and ~6 months of delays began on December 5th, 2018 when Falcon 9 Block 5 booster B1050 – having just completed its inaugural launch debut – experienced a hydraulic pump failure. The first of its kind, B1050’s pump failure killed grid fin control authority and forced the booster to abort into the Atlantic Ocean, where it somehow pulled off a landing soft enough to leave the rocket almost entirely intact. Even more surprisingly, B1050 was safely towed back to port, lifted onto dry land, and shipped off to one of SpaceX’s many Florida hangars for inspection.
Despite its near-miraculous survival, B1050 was immediately removed from SpaceX’s fleet of flightworthy boosters. Set to become the least flight-proven flight-proven Block 5 booster yet after supporting a low-energy Cargo Dragon mission, SpaceX and CSA/Maxar had apparently reached an agreement to launch RCM on B1050.2. Despite the availability of other boosters at the time, all available cores had completed two launches (B1046, 47, and 48) or were assigned to a second launch in the near-term (B1049). This is the only rational explanation for the delays that followed.
B1049 completed its second launch in mid-January 2019 and has since floated around various SpaceX facilities while waiting for its third mission. Had CSA/Maxar been okay with a twice-flown Falcon 9, B1049 could have likely supported RCM’s launch as early as March or April. Instead, the customer – as was apparently their right – concluded that being a booster’s third launch would be an unacceptable risk, whereas launching on a once-flown booster was acceptable. The only possible solution to those demands was to manifest RCM on Falcon 9 B1051, assigned to Crew Dragon’s launch debut.
Quite possibly the worst booster one could pick for schedule preservation, Crew Dragon’s launch debut slipped – to the surprise of very few – from January to February and finally to March 3rd. B1051 launched, landed without issue, and returned to Port Canaveral a few days later, where it was transported to Pad 39A for refurbishment. The relatively gently-used booster required a bit less than 8 weeks of inspection and refurbishment before being packaged and shipped to California near the end of April (see above). By now, B1051 is likely safely inside SpaceX’s SLC-4E integration hangar, preparing for upper stage integration and a routine pre-launch static fire test.
In short, an untimely Falcon 9 anomaly and customer preferences conspired to delay the launch of Canada’s Radarsat Constellation Mission by nearly four months, from February 18th to June 11th. With any luck, the mission’s flow will be issue-free and suffer no additional delays.
FCC launch communications licenses currently show that SpaceX plans to return Falcon 9 B1051 to the launch site (RTLS) after launch, rather than landing aboard drone ship Just Read The Instructions (JRTI). With a total launch mass likely around 5000 kg (11,000 lb), Falcon 9 should easily be able to manage a RTLS recovery. However, SpaceX’s West Coast LZ-4 use permit prevents the company from landing rockets at the pad during harbor seal pupping season, typically March thru June. The sonic booms and noise generated during Falcon 9’s spectacular landings might end up stressing endangered harbor seals, potentially causing parents to abandon their seal pups in confusion. As such, JRTI may be forced to get some exercise after spending almost five months in port. Anything for the baby seals!
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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.
News
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”
