News
SpaceX’s Crew Dragon astronaut launch debut a step closer after SuperDraco milestone
Photos published by SpaceX reveal that the company has begun to outfit its first astronaut-capable Crew Dragon spacecraft with its eight SuperDraco abort engines, a major milestone along the path to launch.
On October 29th, SpaceX tweeted photos of SuperDraco installation with a caption that confirmed the engines were being installed on Crew Dragon capsule C206, currently assigned to the company’s ‘Demo-2’ astronaut launch debut. These latest photos come just five days after the company published a video of one of many SuperDraco static fire tests, perhaps an indicator that the engines pictured were performing acceptance tests just days prior.
SpaceX is exceptionally thorough when it comes to testing flight hardware before launch: for every new Falcon 9 rocket built, every single Merlin 1D and Vacuum engine is built in California, shipped to Texas for individual static fires, shipped back to CA to be installed on their respective rockets, and then shipped back to TX for an integrated static fire. They’re then shipped to their respective launch sites, where launch technicians perform yet another pre-launch static fire at the launch pad.
Although it’s not known for sure, SpaceX almost certainly takes a similar approach for its Dragon 1 and Dragon 2 spacecraft, both of which feature Draco maneuvering thrusters, while the latter also requires more powerful SuperDraco engines for its launch abort system. More likely than not, all of those (Super)Dracos are tested in McGregor after being assembled in Hawthorne and then shipped back to Hawthorne for installation on Dragon. Due to their reliance on toxic propellant and oxidizer, however, it’s far more challenging to test-fire integrated Crew or Cargo Dragons, although those tests are done once and a while for especially critical milestones.
In fact, capsule C205 recently arrived in Cape Canaveral alongside its flight-proven Falcon 9 rocket to prepare for Crew Dragon’s critical In-Flight Abort (IFA) test, in which the spacecraft will attempt to escape from a supersonic Falcon 9. Prior to launch, SpaceX plans to static fire Crew Dragon C205’s Draco and SuperDraco thrusters, essentially a repeat of the fated April 20th test that destroyed Crew Dragon capsule C201. If that test goes as planned, the spacecraft will be inspected and finally mated atop Falcon 9, while success will also likely mean that the hardware now being installed on Crew Dragon C206 is equally ready for launch.
In the unlikely event that more issues arise, SpaceX will likely have to uninstall C206’s engines, propellant tanks, and plumbing. If everything works as intended, however, C206’s preemptive hardware installation should mean that the spacecraft will be ready to support SpaceX’s astronaut launch debut much sooner.
At present, Crew Dragon’s IFA static fire is expected no earlier than November 6th, while the abort test itself is now scheduled to launch no earlier than December 2019. Demo-2, Crew Dragon’s NASA astronaut launch debut, is scheduled to launch no earlier than Q1 2020, while SpaceX CEO Elon Musk says that the spacecraft and its Falcon 9 rocket should arrive at Pad 39A and be ready for launch as early as November 2019.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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.
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.
News
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”
