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SpaceX set to launch massive satellite on July 2nd: 3 flights in 9 days
SpaceX’s Next Launch is Still Nearly on Time in Spite of BulgariaSat-1 Delays
As first reported earlier this morning by James Dean of Florida Today and now officially confirmed by the launch customer Intelsat, SpaceX’s launch of Intelsat 35e has been scheduled for July 2nd at 4:36 p.m. PST.
A several day delay of the launch of BulgariaSat-1 from Monday to Friday of last week was logically assumed to mean that the launch of Intelsat 35e, previously scheduled for July 1st, would be delayed at least several days to allow for the necessary pad checks and repairs that occur after launches. In 2017, this pad flow has generally taken at least a full week, with a static fire occurring once the pad is ready, and a launch several days after that. Two weeks has so far been a relatively consistent minimum between launches from the same pad.
A launch from LC-39A on July 2nd would give SpaceX at most nine days from the launch of BulgariaSat-1 to ready the pad once more. Further, Intelsat 35e has a static fire scheduled as early as Thursday this week, six days after the pad’s previous successful launch. I previously wrote about SpaceX potentially conducting three separate missions within the course of two weeks and declared that such an accomplishment would be a massive accomplishment and proof of concept for some of SpaceX’s more lofty goals. Now it would appear that there is a possibility that SpaceX could launch three separate missions in as few as nine days.
Nine days is of course quite close to being a single week, and successfully pulling off what is now officially scheduled would lend unassailable credence to a previous SpaceX goal of regular, weekly cadence by 2019. In fact, three launches in nine days from two separate pads almost makes regular weekly launches from two separate pads appear imminently in reach for the company, possibly even earlier than 2019.
Intelsat 35e will become the largest communications satellite SpaceX has ever sent to orbit, weighing in at ~6000 kilograms. Designed to last at least 15 years in geostationary orbit, it is expected that SpaceX will attempt to place the satellite into a higher energy geostationary transfer orbit in order to reduce the amount of time it takes the commsat to reach its final planned orbit. This translates to an expendable Falcon 9 Full Thrust that will pushed close to its payload and orbit limits. While it is now somewhat sad to see a Falcon 9 first stage unable to attempt recovery, this will still be a thoroughly exciting launch, especially considering the impressive mass of the satellite.
Another successful recovery for 1029 on June 23, 2017. Note the dramatic lean and differing angles of the legs on the left, courtesy of a very hard landing. (SpaceX)
SpaceX’s constant iteration of Falcon 9 vehicles meant that Intelsat 35e did not have to wait for Falcon Heavy, as the current default version of the Falcon 9 (v1.2) has begun to overlap the original performance estimates for the first Falcon Heavy concept. Of note, the vehicles that launched last weekend have approximately double the lifting capacity of the original Falcon 9, which last flew in 2013.
The static fire for the launch of Iridium 35e is currently scheduled for this Thursday. Check back at Teslarati for confirmation of that test as we find ourselves once more just a handful of days away from yet another SpaceX launch.
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”
