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SpaceX’s first 33-engine Super Heavy booster reaches full height
Approximately 11 weeks after the process began, SpaceX has finished stacking its newest Super Heavy booster prototype – the first of its kind intended to host 33 new Raptor V2 engines.
Designed to launch Starship’s massive, namesake upper stage part of the way to orbit, Super Heavy is in many ways simpler than Starship but just as complex and unprecedented in others. Ignoring SpaceX’s unusual plans to have boosters land on huge mechanical arms installed on a skyscraper-sized tower, Super Heavy is ‘merely’ a large vertical-launch, vertical-landing liquid rocket booster – the likes of which SpaceX already has extensive experience with through Falcon 9 and Falcon Heavy. What mainly sets Super Heavy apart is its sheer scale.
Measuring around 69 meters (~225 ft) from tip to tail, Super Heavy – just one of two Starship stages – is almost as tall as an entire two-stage Falcon 9 or Falcon Heavy rocket. At nine meters (~30 ft) wide, a single Super Heavy booster – effectively a giant steel tube – should be able to store at least six or seven times as much propellant as Falcon 9 and about two to three times as much as Falcon Heavy. Engine count and peak thrust are similarly staggering.
SpaceX’s newest Super Heavy prototype – Booster 7 (B7) – expands those engine-related capabilities even further. Instead of the 29 Raptor V1 engines installed on Super Heavy B4, Booster 7 is designed to support up to 33 Raptor V2 engines. While the V2 design significantly simplifies Raptor’s design to make it easier to build, install, and operate, it also substantially boosts maximum thrust from around 185 tons (~410,000 lbf) to at least 230 tons (~510,000 lbf). In theory, if Super Heavy B7 is outfitted with a full 33 Raptor V2 engines capable of operating at that claimed thrust level, Booster 7 could theoretically produce at least 40% more thrust than Booster 4. B4, however, has yet to attempt a single static fire.
The fact that SpaceX hasn’t put Booster 4 through a single full wet dress rehearsal (a launch simulation just shy of ignition) or static fire test after more than half a year at the orbital launch site has led many to assume that the prototype is likely headed for premature retirement. With Booster 7 now perhaps just a week or two away from test-readiness, SpaceX finally has a viable replacement capable of both carrying the flame forward and kicking off the qualification of the first prototype designed to use Raptor V2 engines.
Booster 7 features a number of other design changes, including sleeker raceways (external conduits that protect wiring and smaller plumbing); a different layout of the pressure vessels, ‘hydraulic power units,’ and umbilical panel installed on its aft; and significant changes to the aerocovers that slot over that aft hardware. Beyond its Raptor engines, the two next most substantial modifications made to Super Heavy Booster 7 are arguably a pair of strake-like aerocovers and the addition of large internal ‘header’ tanks meant to store landing propellant.
A series of new sharp-edged aerocovers are now expected to slot over the top of two new pairs of five composited-overwrapped pressure vessels (COPVs) that run about a third of the way up Booster 7’s tanks. It’s possible that they will function a bit like strakes, fixed wing-like structures designed to improve aerodynamic stability. In comparison, Super Heavy B4 has four sets of two COPVs spaced evenly around the outside of its engine section.
Finally, SpaceX appears to have upgraded Super Heavy Booster 7 with a full set of internal header tanks, meaning that it should now be able to store all needed landing propellant in separate tanks. That significantly decreases the amount of pressurization gas required and makes it much easier to ensure that Super Heavy’s Raptor engines are fed with an uninterrupted flow of propellant during complex in-space and in-atmosphere maneuvers. Following SpaceX’s decision to turn Super Heavy’s tank vents into maneuvering thrusters, header tanks should also decrease the chances of liquid propellant being accidentally vented while the booster is in microgravity/free-fall conditions.
With any luck, Super Heavy B7 will be fully assembled and ready for proof testing. It’s very likely that it will take SpaceX several more months to mature Raptor V2’s design into something ready for flight and produce and qualify at least 33 of the engines but in the interim, Booster 7 can hopefully kick off cryogenic proof and wet dress rehearsal testing as early as late March or early April.
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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
