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SpaceX’s first orbital-class Starship and Super Heavy to return to launch pad next week
CEO Elon Musk says that SpaceX could return the first orbital-class Starship prototype and its Super Heavy booster to the launch site after rolling the rockets back to the factory for finishing steps.
In response to a video of Super Heavy Booster 4 (B4) returning to the build site, Musk rather specifically stated that both Booster for and Starship 20 (S20) will return to the orbital launch pad on Monday, August 16th. SpaceX returned Ship 20 to its ‘high bay’ vertical integration facility mere hours after the Starship was stacked atop a Super Heavy booster (B4) for the first time ever on August 6th. For unknown reasons, perhaps due to high winds, Booster 4 spent another five days at the pad before SpaceX finally lifted it off the orbital launch mount and rolled it back to the high bay, where it took Ship 20’s place on August 11th.
Almost immediately after S20’s August 6th return, its six Raptor engines were removed to make way for an engine-less proof test campaign that Musk has now implied could start as early as next Monday. Mirroring S20, SpaceX also begin uninstalling Super Heavy Booster 4’s 29 Raptor engines the same day it returned to the high bay.
Around 12 hours after the process began, SpaceX appeared to have removed 14 (just shy of half) of Super Heavy B4’s Raptor engines – a pace almost as spectacular as their 12-18 hour installation a bit less than two weeks prior. Aside from making engine removal dramatically easier, Musk says that SpaceX moved Ship 20 and Booster 4 back to the build site to expedite some minor final integration work – namely “small plumbing and wiring.”
However, aside from Raptor removal, the most obvious and significant work ongoing since the pair’s return to the high bay is the process of inspecting Starship S20’s heat shield and repairing or replacing broken, chipped, and loose tiles. Not long after Ship 20 arrived back at the build site, workers in boom lifts began a seemingly arduous process of inspecting the Starship’s nose heat shield and marking – with colored tape – hundreds of tiles with cracks, chips, or other less visible issues.
After several days of inspections and hundreds of tiles marked, SpaceX finally began the process of removing off-nominal tiles early on August 12th. According to NASASpaceflight.com, that removal process is not particularly easy and can require the use of power tools to effectively cut tiles off their embedded mounting frames. Given the amount of force required, some level of care is also almost certainly needed to avoid damaging any adjacent tiles, which could quickly cause a minor misstep to exponentially spread. Nevertheless, a small team of SpaceX technicians seemingly managed to remove no less than several dozen (and maybe 100+) broken tiles in a few hours.
Up next, those removed tiles will need to be replaced. Still, it remains to be seen if SpaceX will choose to fully complete Starship S20’s “98% done” heat shield before sending the ship back to the launch site for proof and static fire testing. To a degree, putting Starship through a gauntlet of ground tests with a full heat shield installed would be an excellent test of the resilience of its thermal protection system to major thermal stresses from frosty steel skin and expansion/contraction during fueling, as well as violent vibrations during static fires.
However, Starship S20’s heat shield is already so close to completion that it might be only marginally less valuable to save time by testing the vehicle as soon as possible.
To an extent, Booster 4 is a much simpler case as Super Heavy needs to major thermal protection. However, according to Musk, some or all of Super Heavy’s 29 Raptor engines will need their own miniature thermal protection system – perhaps a flexible blanket-like enclosure not unlike what SpaceX uses to partially protect Falcon booster engines during reentry. It remains to be seen if Booster 4 will return to the launch site without engines for cryogenic proof testing or if SpaceX will install heat shielded Raptors before starting the first flightworthy Super Heavy’s first test campaign.
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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.
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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.
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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
