NASA says that its mission to the asteroid 16 Psyche will no longer be able to launch in 2022 after engineers were unable to verify the readiness of the spacecraft’s software.
What could amount to being a few weeks or months behind schedule will have major ramifications for the mission, extending its cruise phase – the time between launch and arrival at Psyche – by years. On top of significantly increasing Psyche’s overall cost, the delay means that yet another payload meant to launch on SpaceX’s Falcon Heavy rocket in 2022 (or earlier will) has slipped to 2023.
For years before its debut, Falcon Heavy itself was indefinitely delayed as SpaceX priorities and technology constantly shifted around it. Even after the first version of Falcon Heavy finally debuted in February 2018, SpaceX chose to immediately upgrade the rocket to use the latest Falcon Block 5 variant, which again experienced months of delays.
A bit less than a year behind schedule, the first upgraded Falcon Heavy successfully completed the rocket’s first commercial mission – Arabsat 6A – in April 2019. The second Falcon Heavy Block 5 followed suit in June 2019 with a rideshare mission that doubled as a complex test flight that ultimately allowed the US military to certify the rocket to launch its most valuable satellites. The rocket has not launched once since. As previously discussed on Teslarati, virtually every spacecraft manifested on Falcon Heavy since the rocket’s first three launches has experienced major delays.
“For unknown reasons, virtually every near-term Falcon Heavy payload has slipped significantly from its original launch target. Within the last few weeks, USSF-44 – meant to launch as early as June 2022 after years of delays – was “delayed indefinitely.” Delayed from Q3 2020, USSF-52 is now scheduled to launch in October 2022. ViaSat-3, once meant to launch on Falcon Heavy in 2020, is now NET September 2022. Jupiter-3, a record-breaking communications satellite that wasn’t actually confirmed to be a Falcon Heavy launch contract until a few weeks ago, recently slipped from 2021 and 2022 to early 2023.”
Teslarati.com – May 26th, 2022
Just a month later, USSF-44 is now NET December 2022, USSF-52 has reportedly slipped to April 2023, and Psyche has slid to July 2023. At least for now, ViaSat-3, USSF-67, and USSF-44 are still targeting 2022 launches, but it will take a minor miracle and the abrupt end of patterns of delays for even one of those missions to avoid slipping into 2023 over the next 3-6 months.
As a result, SpaceX continues to accumulate an increasingly absurd fleet of unflown Falcon Heavy boosters that were manufactured and tested for launch targets that are now years behind schedule. The company is now storing nine different Falcon Heavy side and center cores, one of which supported Falcon Heavy Block 5’s first two 2019 launches and the other eight of which are qualified for flight but have never flown. The grounded fleet may soon grow to 10 boosters, compared to the 11 or fewer active Falcon 9 boosters SpaceX will likely end the year with.
Due to the nature of interplanetary launch windows and destinations, Psyche will be a particularly painful delay for NASA. The August to October 2022 window NASA was recently targeting would have allowed the 2.6 ton (~5700 lb) spacecraft to enter orbit around 16 Psyche in early 2026. According to NASA, the best possible backup launch window in 2023 will now delay orbital insertion to 2029 or even 2030, effectively doubling the Psyche spacecraft’s cruise time. According to a 2022 decadal survey, the cruise phases of missions of a similar class have cost at least $30 million per year, meaning that Psyche’s 2022 to 2023 launch delay could easily cost NASA an extra $100 million.
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”
