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SpaceX Starship prototype ready for record-breaking tests
Over the weekend, SpaceX has installed the last of its first orbital-class Starship’s six Raptor engines, setting the prototype up for one or several record-breaking tests later this week.
Tentatively scheduled as early as 10am to 6pm CDT on Monday Tuesday, November 1st 2nd, the next test up on Starship 20’s (S20) docket will likely be its third static fire in eleven days. Ship 20 completed its first Raptor-involved test – known as a preburner test – on October 19th, followed by two successful back-to-back static fires – one with one Raptor and one with two – on October 21st.
Less than 36 hours later, the Starship’s two missing Raptor Center (RC) engines (of a total of three) had been installed by Friday morning, October 22nd. For unknown reasons, no testing was completed the following week it and it took SpaceX another six and a half days to deliver the final two missing engines to the pad for installation on S20. Regardless, both missing Raptor Vacuum engines were installed by 2am CDT on Saturday, October 30th, marking the second time a Starship prototype has had all six Raptors installed.
While it might be the second time SpaceX has installed six Raptors on a Starship, it’s likely the first time six engines have been fully integrated with Ship 20’s propellant tanks, gas supplies, and avionics. How exactly SpaceX plans to proceed is unclear but odds are good that Starship S20’s next static fire test campaign will involve simultaneous igniting at least four of its six Raptor engines, setting a new record for the number of Raptors simultaneously ignited.
More likely than not, though, Ship 20’s next campaign will culminate in the simultaneous ignition of all six Raptors to (hopefully) complete the first true orbital-class Starship static fire. Like SpaceX has only just begun to do with Falcon boosters, flight-proven Starships might eventually be able to skip preflight static fire tests, but it’s virtually guaranteed that SpaceX will still proof test Starship and Super Heavy before flights until ships, boosters, and Raptors have stable designs with substantial flight experience. To ensure full-fidelity testing, those static fires will always have to qualify all installed engines. That includes Starship, which is designed to burn both its sea-level and vacuum-optimized Raptors from booster separation to orbit.
At full throttle, depending on the efficiency of its three RVacs at sea level, Starship S20’s six Raptor V1.0 engines could produce ~1100 tons (~2.4M lbf) of thrust. By comparison, SpaceX’s workhorse Falcon 9 rocket produces around 760 tons (~1.7M lbf) of thrust at liftoff, meaning that Starship will likely become the most powerful single-core rocket the company has ever tested even if it never throttles above ~70%.
There’s a good chance that SpaceX will start Ship 20’s next round of tests by separately firing both sets of three Raptor Center and Vacuum engines or with a mixed three or four-engine test to follow the latest two-engine test. SpaceX could also take the most iterative approach and test three, four, and five engines at a time before the final six-engine test. Regardless, virtually all possible static fire tests Ship 20 is now configured to perform will be program ‘firsts’ of some kind.
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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
