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SpaceX to catch two Falcon 9 fairings at once with twin nets
Over the last three or so weeks, SpaceX rocket recovery technicians and engineers have rapidly modified a second Falcon fairing recovery vessel – known as GO Ms. Chief – to the point that it appears to be almost ready for its first catch attempt.
Essentially a twin of GO Ms. Tree (formerly Mr. Steven), Ms. Chief now features four arms – each with two white support beams – that hold two massive, retractable nets. Ultimately, SpaceX has augmented Ms. Tree with Ms. Chief in a bid to simultaneously catch both parasailing halves of a Falcon 9 (or Heavy) payload fairing after any given launch, the Holy Grail of the company’s fairing recovery program.
A few days after the above photos were taken, SpaceX successfully installed Ms. Chief’s fairing-catching nets and has since taken the ship a few miles beyond Port Canaveral limits for sea trails – presumably meant to verify center of gravity and other performance characteristics. This may or may not have included tests of the newly-modified ship’s fairing recovery mechanism, referring to what is understood to be a direct link between fairing and ship designed to autonomously guide both to the right position for a catch.
Ensuring that that new hardware and software is in good working order is probably even more important than installing Ms. Chief’s arms and nets, evidenced by the fact that it took SpaceX more than 16 months and five failed attempts before Mr. Steven (now Ms. Tree) successfully caught its first fairing. The first success came on June 25th after Falcon Heavy’s third successful launch.
In an encouraging sign, SpaceX’s very next launch (with a fairing) – Falcon 9’s August 6th AMOS-17 mission – marked the second successful fairing catch ever, suggesting that the breakthrough(s) that enabled that first success may be broadly applicable. SpaceX’s next launch with a payload fairing should essentially confirm whether the company’s fairing recovery program has truly reached the end of the tunnel or if there is some distance still to go.
Since AMOS-17, however, SpaceX has been in the midst of a period of launch inactivity unprecedented since Falcon 9’s catastrophic Amos-6 failure in September 2016, triggering a fleet-grounding that lasted four months. That lull has undoubtedly given SpaceX’s recovery team plenty of time to outfit Ms. Chief and perform shakedowns of the vessel’s new hardware, but it also means that there have been zero opportunities for additional fairing-recovery data gathering.
Mystery and mischief are waiting for it. pic.twitter.com/akgqg29nQf— Marek Cyzio (@MarekCyzio) October 6, 2019
According to publicly-available launch manifests, SpaceX no longer has firm dates for its next launch(es). Previously expected to be one or even two Starlink launches, those missions are now scheduled to launch sometime in October or November. The Kacific-1 communications satellite currently has a (fairly) firm launch target of November 11th, making the mission the best possible bet for SpaceX’s next launch – at least for the time being.
On the plus side, regardless of when SpaceX is able to break its now two-month-long launch hiatus, it appears extremely likely that said launch will become the first attempt at simultaneously catching both Falcon fairing halves. If successful, it could quite rapidly pave the way towards fast, low-cost fairing reuse, a necessity for the economic deployment of SpaceX’s Starlink satellite internet constellation.
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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
