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SpaceX’s Pacific rocket recovery fleet heads to sea for Western Block 5 debut
SpaceX drone ship Just Read The Instructions was spotted by Teslarati photographer Pauline Acalin departing Port of Los Angeles on the evening of July 22, while fairing catcher Mr Steven completed final checkouts and full installation of his massive new net, hopefully just days away from the first successful fairing catch. Their call to action, Iridium NEXT-7, is scheduled to launch NET 04:39 PDT/11:39 UTC, July 25th.
Over the course of July, both vessels have been undergoing significant maintenance and upgrades. Mr Steven’s was perhaps the most extreme – his original arm and net apparatus was removed in its entirety and replaced with a massively upgraded system of arms, booms, and a brand new net, well and truly expanding the vessel’s catching area by a factor of four.
With a new net and arm span stretching at least 60 meters by 60 meters, Mr Steven’s improved fairing catching mechanism is now almost the same size as the landing area aboard SpaceX’s two autonomous spaceport drone ships – roughly 200ft x 300ft (60m x 90m). While presumably a pure coincidence, the size parallels apparently necessary to recover two very different components of Falcon 9 – the booster rocket and the payload fairings – is rather satisfying.

A last hurrah?
Intriguingly, ASDS Just Read The Instructions has stoically remained at SpaceX’s Port of San Pedro, CA berth for more than nine months, wholly unused despite the fact that the company has completed four additional missions since its last tasked booster recovery (October 2017, Iridium-3). It’s not a coincidence that all four of those Vandenberg AFB missions featured boosters that had already successfully launched and landed once before – SpaceX made a habit over the last four months of intentionally expending Falcon 9 boosters after their second missions, even when the launch conditions would allow for booster recovery.
This mission will thankfully bring an end to that understandable but still-painful practice, thanks to Iridium-7’s new Block 5 booster, B1048. Many of the months JRTI spent at berth were without the pod thrusters the drone ship needs to keep itself at the proper landing point once at sea, but JRTI departed the port with a full complement of four blue thrusters on the evening of July 22. However, it’s unclear how much SpaceX will need the vessel within just a month or two from today.
- A SpaceX technician works aboard the rain-soaked drone ship Just Read The Instructions, March 2018. (Pauline Acalin)
- More recently, all four thrusters were installed and tested both while berthed and at sea. May 11. (Pauline Acalin)
- JRTI captured conducting sea-trials by photographer Chuck Bennett. (Instagram, @chuckbennett)
At long last, SpaceX’s planned, built, and now-patiently-waiting West Coast landing zone is finally finished, permitted, and in the green to begin supporting Falcon 9 return-to-launch-site (RTLS) recoveries at Vandenberg Air Force Base. Effectively a basic copy of SpaceX’s now well-worn landing zone pair in Cape Canaveral, Florida, the company’s VAFB LZ-1 has been hinted at in two FCC launch permits for launches as early as the first and last weeks of September. Aside from Iridium launches, of which just one will remain after Iridium-7, nearly all of SpaceX’s West Coast launches are for fairly lightweight payloads that should easily allow Falcon 9 RTLS recoveries.
- Iridium-1’s successful and scenic landing on Pacific drone ship JRTI, January 2017. This could be an increasingly rare occurrence in the Pacific, thanks to SpaceX’s new land-based landing zone. (SpaceX)
- SpaceX’s West Coast landing zone is preparing for its debut, currently NET October 6th 2018. (Pauline Acalin/Teslarati)
Environmental conditions mean that JRTI will still be needed regularly for a handful of months (March through June) to avoid disrupting baby seals (pups, technically), but the vessel’s recovery efforts this week may be one of the last ‘off-season’ examples for months or even years to come. On the plus side, RTLS recovery at SpaceX’s VAFB landing zone will be an absolute dream for recovery technicians, as the LZ is directly beside the launch pad and hangar, where recovered Block 5 boosters can likely be refurbished or at least easily packaged and shipped to the Hawthorne factory.
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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.




