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SpaceX ready for 60-satellite Starlink launch debut: third time’s the charm?
SpaceX is approximately two hours away from its third Starlink v0.9 launch attempt, an ambitious batch of 60 satellites that will also be the company’s heaviest payload ever.
As hinted at by the name “Starlink v0.9”, these sixty satellites are not quite the final design. More a beta test at an unprecedented scale, several critical new technologies and strategies will be put to the test on this launch, ranging from a seriously unorthodox satellite deployment method to the near-final krypton-fueled electric thrusters. Same as SpaceX’s May 15th and 16th launch attempts, Starlink v0.9’s third try has a 90-minute window that opens at 10:30 pm EDT (02:30 UTC), this time on Thursday, May 23rd.
Third time’s the charm ?
May 23rd’s Starlink v0.9 launch attempt will be the mission’s third, preceded by May 15th – scrubbed by high-altitude wind shear – and May 16th, cancelled before fueling began in order to troubleshoot and update the software aboard the 60 Starlink satellites. After a week of concerted effort from SpaceX technicians and software developers, those issues have been more or less dealt with and the first batch of Starlink satellites are once again ready for orbit.
According to SpaceX, the massive payload of 60 flat-packed Starlink satellites weighs approximately 18.5 tons (16,800-18,500 kg, unclear if short or metric tons). Either way, it will easily break SpaceX’s previous record – likely Crew Dragon’s DM-1 debut – and become the heaviest payload the company has ever attempted to launch. Despite the sheer size and mass of the payload, Falcon 9 booster B1049 – launching for the third time – will still be able to land aboard drone ship Of Course I Still Love You (OCISLY) some eight minutes after launch.
If the recovery goes well, B1049 will become the third SpaceX booster to successfully complete three orbital-class launches and landings, paving the way for a series of fourth flights (and beyond) later this year.
Cubesats, meet Flatsats
Aside from the mission’s impressive rocket performance requirements, Starlink v0.9 will also serve as a huge beta test of a dozen or more new technologies. The most visible of those has to be each satellite’s truly unique flat, rectangular form factor, as well as SpaceX’s use of flat-packing in place of a dedicated structure for holding and dispensing the satellites. It’s unclear if there is some additional reinforcement or if the satellites themselves provide all of the stack’s strength. If the latter is true, the satellites at the bottom must survive massive forces – ranging from ~7000 kg at rest to 35,000+ kg at the end of Falcon 9’s second stage burn.
Aside from their exotic structure, each Starlink satellite also carries a single-panel ~3 kW solar array using one of two experimental deployment mechanisms. Each satellite’s main propulsion comes from an unknown number of Hall Effect thrusters (i.e. electric/ion thrusters) fueled by krypton instead of the usual xenon. SpaceX’s internally-developed krypton thrusters are the only known examples to have been tested in orbit.
Aside from thrusters, SpaceX CEO Elon Musk also believes that the company’s space-based phased array antennas – also developed in-house – are more advanced than any operational competitor on Earth. Musk also revealed that SpaceX would attempt to use a bizarre and largely untested method of satellite deployment, spinning Falcon 9’s upper stage and releasing the satellites with inertia instead of traditional springs or pushrods.
Regardless of whether everything works as planned, the launch is going to be a spectacular one and the webcast may even include views of the bizarre satellite deployment. Catch SpaceX’s live coverage of the mission – likely to include new details about the Starlink constellation – at the link below. Coverage will begin ~15 minutes prior to liftoff.
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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
