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SpaceX CEO Elon Musk claims Starship will be ready for first orbital launch in July
CEO Elon Musk claims that SpaceX could be ready to attempt Starship’s first orbital launch as early as July.
While SpaceX has been making slow and steady progress preparing the Starship upper stage and Super Heavy booster nominally assigned to that launch debut, the odds that even just one of those two stages will be fully qualified for flight before the end of July are quite small. Musk’s claims about what will happen after that rocket is ready are even loftier.
According to Musk, after SpaceX is done preparing a Starship and Super Heavy booster for their inaugural orbital launch attempt sometime “next month,” the company will have a second ship and booster pair “ready to fly in August” and another pair every month after that. If SpaceX rapidly completes the dozens of environmental mitigations assigned to it on June 13th and receives an FAA license or experimental permit for orbital Starship launches, the company does theoretically have permission for five orbital launches out of South Texas in 2022, but the same is also true for all 12 months of 2023.
However, there is very little evidence that SpaceX is on the cusp of being able to complete a new orbital-class Starship and Super Heavy booster every month. While SpaceX is working on future Starships and is almost done assembling a second orbital-class Super Heavy booster, the pace of that work appears to be about the same as it’s been for the last 12+ months. Yes, SpaceX is almost done stacking Booster 8 and has begun stacking Ship 25. Sections of Ship 26, Ship 27, and Booster 9 have also been spotted at Starbase. But SpaceX has been unable to finish stacking Booster 8 over the last few months it’s been focused on Ship 24 and Booster 7.
Ship 24 and Booster 7, meanwhile, are making good progress but are still incomplete. Both recently completed several mostly successful cryogenic and structural proof tests and returned to SpaceX’s assembly bays, where workers have begun installing Raptor engines and applying finishing touches.
After a month of work, it appears that Super Heavy B7 may finally be preparing to return to Starbase’s launch site on Thursday, June 16th. Since it returned to the factory on May 14th, SpaceX has been installing 33 new Raptor 2 engines, applying thermal protection to those engines, buttoning up the booster’s aft end, installing control surfaces known as grid fins, and completing a few other unfinished tasks. If all of that work is complete when it rolls out again, B7 could kick off the next phase of its qualification testing – wet dress rehearsals and static fires – shortly after returning to the orbital launch site.
SpaceX has never attempted a full-scale Super Heavy wet dress rehearsal, in which the largest rocket booster ever built will be fully filled with more than three thousand metric tons of flammable cryogenic propellant and put through a simulated launch countdown. SpaceX has also never come close to conducting a full Super Heavy static fire, though it did fire three outdated Raptors on an outdated booster prototype a single time in July 2021.
Ship 24’s position is slightly more favorable, as it only needs six Raptor 2 engines installed. Thanks to Ship 20, which successfully completed several wet dress rehearsals and several static fires that ignited all six engines, Ship 24 will also be heading into terrain that is slightly less uncharted. Still, the Starship’s heat shield needs several hundred more tiles installed, one of four flap aerocover ‘caps’ is missing, and thermal protection will need to be installed around its Raptors.
Once Booster 7 and Ship 24 are both fully outfitted and installed on their respective test stands, there’s still little reason to believe that either prototype has any chance of completing all the tests needed for flight qualification by the end of July. In fact, for B7 and S24 to be truly ready for flight before the end of July, they’d likely need to wrap up qualification testing well before the end of the month to conduct another series of tests after the pair is fully stacked. If SpaceX does not proceed with at least some degree of caution and a plan to thoroughly test both stages before a launch attempt, it will significantly increase the risk of catastrophic launch pad damage that could easily take half a year or more to fix.
More realistically, it’s reasonable to assume that Ship 24 and Booster 7 will both run into some minor issues during their first wet dress rehearsals and static fire tests, possibly requiring Raptor replacements or even minor repairs. Instead of a few weeks, serious flight qualification could take a few months. It’s also arguably far likelier that one or both stages will need to be entirely replaced by Ship 25 or Booster 8 than it is that both will be ready to launch six weeks from now. Both Booster 4 and Ship 24 suffered some degree of damage during proof tests that are in many ways much easier than the wet dress and static fire tests they’ll soon face.
Still, despite the many reasons for pragmatism and expectation management, SpaceX has never been closer to Starship’s orbital launch debut, and the odds of that debut occurring sometime in 2022 have never been better.
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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
