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SpaceX’s Mr Steven just misses catch, returns with intact Falcon 9 fairing
SpaceX appears to have successfully retrieved both halves of a Falcon 9 payload fairing intact, despite failing to catch them with recovery vessel Mr Steven.
Near the end of the company’s Iridium-6/GRACE-FO launch webcast, SpaceX engineer John Insprucker said that Falcon 9’s two payload fairing halves had both successfully deployed their parachutes and landed in the Pacific Ocean, also stating that Mr Steven “came very close” to success in an attempt to catch a fairing half in an upgraded net. The vessel’s return to port confirmed this, showing both fairing halves on board Mr Steven’s long utility deck, apparently intact and in great condition aside from saltwater immersion.
Per SpaceX VP of Mission Assurance Hans Koenigsmann, anything more than incidental exposure to sea spray appears to preempt any attempt at fairing reuse, meaning that perfectly intact fairing halves recovered from the surface of the ocean are incapable of flying on future commercial Falcon 9 missions. While he did not go into detail, it’s probable that SpaceX’s inability to reuse ocean-retrieved fairings derives from the extremely clean environments satellites are designed to survive in. Before reaching the vacuum of space, arguably the ‘cleanest’ environment that exists, satellite payloads (be it cameras, antennae, solar panels, can be generalized as extraordinarily sensitive collections of electronics and sensors that remain in clean-room environments throughout their time on Earth. This extends to the environment inside the payload fairing, and cleaning a fairing from seawater organics, particulate matter, and the general risk of outgassing would likely be so expensive and tedious that it would run counter to SpaceX’s goal of lowering the cost of launch with reusability.
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- Both fairing halves from SpaceX’s Iridiium-6/GRACE-FO spied aboard Mr Steven after docking. (Pauline Acalin)
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- While unreusable due to seawater immersion, it’s possible that these halves will take part in a drop test campaign mentioned by CEO Elon Musk. (Pauline Acalin)
Although they cannot be operationally reused, these and past halves presumably have been or will be invaluable as hardware pathfinders, assisting engineers and technicians in their pursuit of ultra-precise, reliable landings in Mr Steven’s net.
Mr Steven, a shiny new Fast Supply Vessel, has been extensively modified by SpaceX in its role as recovery vessel, most notably including massive claw-arms and a large, yellow net intended to allow the boat to catch parasailing payload fairings just before they impact the ocean surface. This requires an impressive level of accuracy and precision, given the fact that SpaceX’s payload fairings are typically traveling more than two kilometers per second at a peak at altitude of anywhere from 100-200 kilometers (functionally in space) at the point of separation, while Mr Steven’s net (the landing target) is at least a magnitude smaller than even SpaceX’s drone ships. With that in mind, it should come as little surprise that SpaceX has required ten or more failed attempts to get to the point where they are confident that a fairing half can successfully be captured in Mr Steven’s net.
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- By all appearances, both Iridium-6/GRACE-FO fairing halves were retrieved intact from the ocean surface. Note the tiny technician installing a tarp inside one half. (Chuck Bennett, Instagram @chuckbennett)
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- SpaceX’s fairing recovery vessel Mr Steven captured at high speed from a drone. (SpaceX)
Given how close SpaceX apparently was this time around, it’s all but inevitable that one of the next two or three California launches will feature the first truly successful fairing catch, paving the way for routine reuse of the ~800 kg, $3m halves. SpaceX’s next launches from Vandenberg Air Force Base are tentatively scheduled for the first half of July, late September, and October.
Thanks to Chuck Bennett for permitting Teslarati to use several of his photos of Mr Steven’s sunset return to Port of San Pedro. Follow him at his Instagram account @chuckbennett.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, 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 let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
