News
SpaceX Starship rocket rolls to launch pad to prepare for Starhopper-style hop test
SpaceX has finished its third full-scale Starship prototype and rolled the rocket’s tank and engine section to a nearby launch pad just a matter of weeks after work began, now ready to prepare for a potentially imminent Starhopper-style hop test.
SpaceX’s rapidly-growing Boca Chica, Texas Starship factory is now producing so much rocket hardware that it’s hard to track any single vehicle’s birth. However, it still appears that SpaceX’s Texas team managed to complete the Starship SN3 prototype in less than a month, measured from first steel ring stacking to the ship’s integrated business end being transported to the launch pad. Simultaneously, the company fabricated, assembled, and tested an entirely separate Starship test tank, verifying that a design flaw that likely lead to Starship SN1’s February 28th destruction had been rectified.
Featuring the same design improvements that allowed that Starship test tank to become the first to pass proof testing intact, Starship SN3 is the best candidate yet to kick off true wet dress rehearsal (WDR) and Raptor engine static fire testing. Both will require real liquid methane and oxygen propellant to be loaded, potentially turning Starship SN3 into the equivalent of many tons of TNT if things were to go south. To be clear, there is a significant chance that such an early, rapidly-built prototype will not survive its upcoming test campaign. Nevertheless, Starship SN3 has the numerous lessons learned from both the successes and failures of all previous vehicles built into it, giving it the best chance yet. Still, the massive rocket will need to pass one or several less risky tests before it can begin to attempt more groundbreaking feats.
Set to follow in the footsteps of all previous Starship test articles, SpaceX will soon kick off Starship SN3’s test campaign with a liquid nitrogen proof test – still extremely cold (i.e. cryogenic) but chemically neutral (i.e. can’t explode). Delivery trucks were spotted topping off SpaceX’s liquid nitrogen supplies just yesterday. The company also has a four-hour road closure scheduled to start at 5pm CDT (22:00 UTC) today, shortly after this article went live.
If it isn’t delayed, that March 29th road closure is likely meant to allow SpaceX to pressurize Starship SN3 with liquid nitrogen, pushing it beyond flight pressures (6 bar/90 psi) in what’s known as a proof test. If successful, it would verify that the rocket’s tank section is sound while also bringing it to cryogenic temperatures, potentially strengthening the steel with cryogenic hardening.
Beyond those initial plans, the FAA license SpaceX used to support Starhopper’s July and August 2019 hop tests may actually enable test flights of full-scale Starship prototypes, too. Incredibly, according to Cameron County, Texas beach closure requests made on March 23rd, SpaceX’s goal is to prepare Starship SN3 for a Raptor engine static fire test as early as April 1st (no fool), followed by a potential 150m (500 ft) Starhopper-style flight test on April 6th.
For obvious reasons, delays to that ambitious schedule – particularly the flight test – are extremely likely, but Starship SN3 is now unequivocally at the launch pad. Stay tuned for updates on the rocket’s potentially imminent proof test and the impacts that might have on future tests.
News
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.
News
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.
News
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
