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SpaceX is building launch pad tanks out of Starship parts and that’s a big deal
SpaceX has begun installing the first of numerous propellant storage tanks at its first orbital South Texas launch facilities – a mostly ordinary and expected step made extraordinary by the fact that those tanks will be built out of Starship parts.
Labeled “GSE” for Ground Support Equipment, the first signs of those self-built storage tanks began appearing at SpaceX’s Boca Chica Starship factory less than two months ago in mid-February. A matter of weeks later, the first of those SpaceX-brand cryogenic storage tanks is off to the launch site for installation (and insulation) while at least two more tanks are well on their way to completion.
While a few ground starge tanks may look like a distraction in the scope of a program tasked with building the world’s largest (and fully reusable) rocket, the existence of those tanks is far more significant than it might initially appear.
Simply put, rocket propellant storage – even for extremely cold cryogenic liquids like those that SpaceX uses – is a thoroughly solved problem. Numerous commercial vendors exist and industrial demand for practically identical tanks is far higher, further lowering commercial tank costs even for those with niche use-cases thanks to economies of scale. For SpaceX’s purposes, major discounts could like be secured given that the company would need to purchase around three to four-dozen commercial-off-the-shelf (COTS) 100,000 gallon tanks to supply a launch pad with enough commodities for two back-to-back launches of Starship and Super Heavy.
That initial launch capability – which SpaceX appears to be working towards – would likely allow the company to start orbital refueling test flights (and Starlink launches, perhaps) immediately after completion. However, that initial capability wouldn’t suffice for ambitious missions to Mars, the Moon, or higher Earth orbits; where one Starship would need to be rapidly refueled with 3-10+ tanker launches. A launch facility capable of supporting 5-10 back-to-back launches (optimally just a few hours apart) would require many times more propellant storage.
The point is that for the initial target of two (or so) launches between commodity resupply, SpaceX could likely acquire the few dozen new storage tanks it would need for a few million dollars apiece for a total cost likely between $50M and $100M. Instead, SpaceX has decided to design and build its own propellant storage tanks. Even more significantly, the GSE tanks SpaceX has already begun building appear to be virtually identical to Starships.
In other words, SpaceX is effectively taking identical rocket parts, slightly tweaking a handful of those parts, and turning what could have been a rocket into a propellant storage tank. This is significant because relative to all other rockets in history, even including SpaceX’s own Falcon 9 and Heavy, building storage tanks with unchanged rocket parts on a rocket assembly line would be roughly akin to hiring Vincent van Gogh to paint lane lines.
Ever since Elon Musk made the radical decision to switch from composite structures to stainless steel, Starship has always aimed to be radically different than any large rocket before it. Crucially, by using commodity steel, the CEO imagined SpaceX would be able to build Starships fairly easily and for pennies on the dollar next to even SpaceX’s exceptionally affordable Falcon 9. In the last 18 months, it’s become apparent that SpaceX has built a factory capable of churning out one or two massive steel rockets per month and is willing to consign at least four or five of those Starship prototypes to all-but-guaranteed failures for the sake of data-gathering and iterative improvement.
Technically, the most logical conclusion would be that Musk was right and that SpaceX has quickly developed the ability to build steel rockets larger than any other launch vehicle on Earth for perhaps just $5M or less apiece. However, SpaceX is also raising on the order of $1-2B in venture capital annually, so they could technically afford to shoulder the cost of extremely expensive Starship prototypes if the company was confident that there was a path to cut those costs and reach the targets needed for the rocket to make economical sense.
Now, the existence of self-built propellant storage tanks virtually identical to flightworthy Starship airframes all but guarantees that SpaceX is already building Starships for a few million dollars each – and possibly much less. More than a year ago, Musk said that SpaceX was already building the Raptor engines that will power Starship and Super Heavy for less than $1M apiece and was working to mass-produce a simpler variant for less than $250,000. Beyond engines and primary structures, Starship hardware is fairly simple and ranges from Tesla-derived motors, basic flaps, and landing legs to off-the-shelf pressure vessels (COPVs) and wiring. SpaceX has managed that extraordinary cost-efficiency despite the fact that Boca Chica is still nowhere close to the level of volume production Musk is aiming for, meaning that there are still far more efficiencies waiting to be realized.
For now, with virtually no retooling and the exact same assembly line, SpaceX’s South Texas rocket factory is busy churning out massive launch pad tanks – one of which is already preparing for installation while another two speed towards completion. All told, SpaceX appears to be preparing foundations for seven 9m-wide (30ft), 27.5m-tall (90ft) Starship-derived tanks that should be capable of storing ~2200 tons (4.9 million pounds) of subcooled liquid methane in three tanks and ~7300 tons (16.1 million pounds) of liquid oxygen in the other four tanks – enough for two orbital Starship launches.
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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
