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SpaceX’s Crew Dragon is pushing the envelope of parachute engineering, says NASA
On September 17th, a NASA blog post praised the progress SpaceX has made with Crew Dragon’s parachute system, indicating that the company is actually pushing the state of the art forward with improved modeling after dozens of tests.
Both before and after SpaceX completed Crew Dragon’s flawless March 2019 orbital launch debut, both NASA and the agency’s Aerospace Safety Advisory Panel (ASAP) have relentlessly focused on two main concerns: Falcon 9’s COPVs and Crew Dragon’s parachutes. The reasoning behind that focus is logical but may pose some problems.
Assuming that discussion points raised during quarterly ASAP and NASA Advisory Council (NAC) meetings are an accurate external representation of NASA’s internal Commercial Crew Program (CCP) priorities, the space agency has been focused on parachutes and COPVs for years. This is primarily a result of NASA’s notoriously reactive approach to safety: SpaceX suffered two COPV-related Falcon 9 failures in 2015 and 2016 and has experienced an unknown number (likely 1-3) of anomalies during Crew Dragon parachute testing.
As a result, NASA has focused extensively on these two stand-out concerns. To an extent, this is reasonable – if you know things have a tendency to fail, you’re going to want to make sure that they don’t. However, prioritizing reactive safety measures at the cost of proactive safety would be a major risk, akin to getting in a car crash because you didn’t use a turn signal and then prioritizing turn signal use so much that you forget to look both ways before making turns. Sure, you will probably never get in the same crash, but you are raising the risk of new kinds of accidents if you overcorrect your attention distribution.
NASA infamously suffered from this throughout the Space Shuttle program, analyzing known-quantities into oblivion as systematic organizational failures and glaring (but new) design flaws were either ignored or buried until it was far too late. It’s impossible to say if NASA is repeating this apparently deep-seated organizational error with Commercial Crew – only the technical experts at SpaceX and NASA have the data to accurately judge. It can be said with certainty, however, that the space agency (and its advisory panels) completely failed to predict the failure mode(s) that caused an April 20th Crew Dragon explosion that would have almost certainly killed all aboard, all while COPVs and parachutes continue(d) to be the apparent focus.
Pushing the envelope of parachute design
Qualms aside, NASA’s September 17th blog does serve as a unique look into the benefits that the space agency’s prioritization of the obvious – for better or for worse – is producing. According to NASA, the incredibly extensive testing SpaceX has had to do to satisfy agency requirements has lead the company to develop “a better understanding of how to safely design and operate parachute clusters”. SpaceX has reportedly completed 48 distinct parachute tests, of which one or two apparently failed.
In response to the additional testing and analysis NASA required after a recent April 2019 test failure, SpaceX has essentially been forced to push the state of the art of parachute design and modeling to new levels. NASA says that SpaceX has begun to model certain conditions and newfound failure modes in ways that “provide a better understanding of parachute reliability” and have forced NASA to reevaluate its own standards and certification processes. Shown in the video above, SpaceX recently completed a successful second attempt of its failed April 2019 parachute test, a major step towards confirming that the new parachute analysis and design have mitigated prior faults.
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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.
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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”
