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SpaceX preps Starship, Super Heavy for another week of Raptor testing
SpaceX continues to work around the clock to prepare its latest Starship and Super Heavy booster prototypes for another week of testing – likely focused on firing up the Raptor engines installed on each vehicle.
Known as Booster 7 and Ship 24, SpaceX has been slowly testing both prototypes for approximately four months, beginning in April and May, respectively. Only in early August did the company cautiously begin attempting to ignite their Raptor engines as part of a process known as static fire testing – by far the most difficult and important part of qualifying both vehicles for flight.
Thanks to progress made in 2021, SpaceX already has significant experience testing an earlier orbital-class Starship prototype on the ground, but the process of testing Ship 24 is still fresh and unfamiliar for a number of reasons. For Booster 7, the challenges are even greater.
On top of major design changes made to Starship and Super Heavy over the last year as SpaceX continues to refine the rocket, the company also developed a substantially different version of its Raptor engine. Compared to Raptor V1, Raptor V2 almost looks like a new engine and can produce around 25% more thrust (230 tons versus 185 tons). SpaceX has also tweaked how the engine operates, particularly around startup and shutdown, further weakening the value of past experience testing Raptor V1 and V1.5 engines on Ship 20 and Boosters 3 and 4.
In other words, with Ship 24 and Booster 7 engine testing, it’s possible that SpaceX is effectively starting from scratch. Many aspects of testing – propellant conditioning, thermal characteristics, tanking, detanking, certain test stands – are likely mostly unchanged, but almost every aspect of a rocket is affected by its engines.
Before SpaceX began testing Raptor V2 engines on Starship and booster prototypes, it wasn’t clear if the changes between V1.5 and V2 would invalidate a lot of prior testing. After the start of Booster 7 and Ship 24 static fire testing, it’s now clear that a lot of that earlier work has to be redone. It’s also clear that despite some of the simplifications in Raptor V2’s design, operating the engine on Starship and Super Heavy is much harder get get right.
Since mid-July, SpaceX has completed around 15-20 ‘spin-prime’ tests between Ship 24 and Booster 7 – more of that kind of test than any other prototype in the history of Starbase has performed. Spin-prime tests flow high-pressure gas through Raptor’s pumps to spin them up without igniting anything. It’s unclear why so many of those tests are being done, what SpaceX is gaining from it, or why the company appears to have completely stopped conducting preburner tests (a more life-like spin-prime with partial combustion).
Regardless, eight weeks after the start of engine testing, Booster 7 has only performed three static fires (two with one engine, one with a max of three or four engines), and Ship 24 has only completed one static fire with two engines. Before either vehicle can be considered ready for flight, a day that could easily never come, each will likely need to conduct multiple successful static fires with all of their Raptor engines (6 on S24 and 33 on B7).
If the pace of Booster 7 testing doesn’t change, the vehicle could be months away from a full 33-engine static fire attempt – perhaps the single most important and uncertain test standing between SpaceX and Starship’s first orbital launch attempt. Ship 24’s path to flight readiness should be simpler, but it appears to be struggling almost as much.
According to CEO Elon Musk, “an intense effort is underway” to ensure that Super Heavy B7’s Raptor engines are well contained during anomalies, so that one engine violently failing won’t damage or destroy the booster, other engines, or the launch pad. That could certainly complicate the process of testing Booster 7, and it’s likely that SpaceX is taking some of the same actions to protect Ship 24.
In early September, after a partially successful Booster 7 static fire (its first multi-engine test) and numerous additional Ship 24 tests that failed to achieve ignition, SpaceX replaced engines on both vehicles. Booster 7 had one of 13 Raptor Center engines swapped out, while Ship 24 had one of its three Raptor Vacuum engines replaced.
On September 5th, SpaceX distributed a safety alert to Boca Chica’s few remaining residents, confirming that it wants to restart testing as early as Tuesday, September 6th. Especially as of late, that alert guarantees nothing, but it does at least open the door for SpaceX if Ship 24, Booster 7, and the positions of the stars happen to be in the right mood between 8am and 8pm CDT. Additional opportunities are available on September 7th, 8th, 9th, and 12th.
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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
