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SpaceX’s Starship factory is churning out steel rockets faster than ever
SpaceX’s South Texas Starship factory is churning out steel rocket hardware faster than ever before according to photos of yet another prototype already in the works.
At the same time as SpaceX works around the clock to test SN4 and prepare the ship for what will be the first flight of a full-scale Starship prototype, the company is building not one; not two; but three additional prototypes. A confirmation that a third Starship was being simultaneously manufactured in South Texas came on May 25th when local Boca Chica resident and observer Mary (bocachicagal) captured a photo of a pair of stacked steel rings rather conspicuously labeled “SN7”.
While it’s possible that “SN7” is just a coincidence, it’s far more likely that it refers to Starship serial number 7 (SN7), set to be the seventh full-scale prototype built by SpaceX. The apparent start of SN7’s steel ring assembly process some two weeks ago also suggests that no less than several other rings are likely being mated in one or more of SpaceX’s three main manufacturing tents or a much taller windbreak structure. In fact, SpaceX is building Starship prototypes so quickly that the company is actively assembling a second launch mount, suggesting that two Starships could soon be tested more or less simultaneously without stepping on each other’s steel toes.
The most impressive aspect of SN7’s appearance, however, is the fact that SpaceX is already in the late stages of stacking Starship SN5 and begun preparing to stack Starship SN6 directly beside it just a few days ago. Based on labels attached to the side of a new steel nosecone section rolled out of SpaceX’s tent factory a few days ago, Starship SN5 will likely become the first full-scale Starship to reach its full height in a permanent, functional fashion. Back in October 2019, SpaceX did technically stack Starship Mk1 to its full height for a few weeks, but the ship’s nose section was never permanently attached and really only served as a pathfinder and full-scale mockup.
Starship Mk1 ultimately failed prematurely during its first major cryogenic pressure test in November 2019, bursting well before it reached the tank pressures needed for low-velocity hop tests (let alone orbital flight). In the sixth months since, SpaceX refocused its resources and spent much of the time dramatically upgrading its South Texas Starship production facilities and methods. In a rapid-fire series of tests of custom-built Starship tanks, SpaceX quickly proved that those improved methods could produce steel tanks more than capable of surviving pressures of ~8.5 bar (~125 psi) and beyond.
More recently, Starship SN4 – a full-scale prototype with two propellant tanks and three tank domes – passed a ~7.5 bar (~110 psi) cryogenic pressure test with flying colors, just shy of fully validating the smaller tank tests that made it possible. According to CEO Elon Musk, ~8.5 bar is enough to perform orbital launches with the ~40% safety margin preferred for human spaceflight, while 7.5 bar meets the minimum needed for Starship to perform uncrewed orbital launches with a ~25% safety margin.
In other words, SpaceX isn’t simply churning out low-fidelity prototypes – the ships that are being mass-produced are of a high enough quality to be qualified for orbital-class launches. Of course, the physical structure of Starship is just one of many technologies that need to work in harmony for successful orbital flights, many of which need to pass their own challenging tests to be declared ready for launch, but it’s still undeniably impressive that SpaceX is already building complete Starship fuselages in a matter of weeks.
In fact, given that Starship SN4 could perform the first hop test and that SN5 could be assigned to the first high-altitude (3-20+ km) flight tests, there is definitely a chance, however minimal, that Starship SN6 or SN7 could eventually be upgraded for the system’s inaugural orbital launch attempt. Regardless, it’s safe to say that the next several weeks are going to be jam-packed with numerous Starship production and test milestones.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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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.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
