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SpaceX delivers 59 spacecraft to orbit on fifth flawless rideshare launch
Update: After a slight eight-minute delay, SpaceX has successfully launched its fifth dedicated ‘Transporter’ rideshare mission, carrying 59 different spacecraft into a sun-synchronous orbit (SSO).
Following the Falcon 9 upper stage’s initial deployment of 39 different spacecraft, two of the deployed spacecraft will deploy another 20 or so small satellites over the next several weeks. Around an hour and a half after liftoff, SpaceX finally announced that the final Transporter-5 payload deployment was complete, confirming that the mission was a total success.
Falcon 9 booster B1061 performed as expected, acing its second Transporter launch in a row and eighth launch and landing overall since November 2020. Transporter-5 was SpaceX’s fifth launch this month and 22nd launch this year, representing an average of one launch every 6.5 days since the start of 2022. If SpaceX is able to complete four launches in June, it will be exactly half of the way to achieving 52 launches – an average of one launch per week – in a single calendar year.
SpaceX appears to be on track to launch its fifth dedicated Falcon 9 rideshare mission as early as 2:27 pm EDT (18:27 UTC) on Wednesday, May 25th, carrying a wide variety of interesting payloads into Earth orbit.
SpaceX has reportedly assigned Falcon 9 B1061 to the mission and Transporter-5 will be its eight launch and landing attempt since November 2020 and third launch this year. While of no particular consequence, B1061 will also become the first Falcon 9 booster to launch two Transporter missions back to back after supporting Transporter-4 less than two months ago. Falcon 9 is scheduled to lift off from SpaceX’s Cape Canaveral Space Force Station (CCSFS) LC-40 facilities and boost the Transporter-5 payload and upper stage most of the way out of the atmosphere, while the booster will return back to the Florida coast to land on a concrete pad just a few miles to the south.
Like Transporter-4, which launched with just 40 deployable payloads on April 1st, Transporter-5 appears to be another very small rideshare mission relative to SpaceX’s first three Transporter launches, demonstrating the company’s continued commitment to operating the service a bit like public transit. A public bus will still happily carry just a single passenger – efficiency, while important, comes second to dependability. For many of SpaceX’s individual Smallsat Program customers, that may help to alleviate some of the downsides of massive multi-dozen-satellite rideshares, which can often make individual customers feel forgotten and unimportant when they’re forced to swallow delays caused by payloads other than their own.
Based on official information provided by SpaceX on May 24th, Falcon 9 is scheduled to deploy only 39 payloads during Transporter-5. However, the real number of satellites deployed during the mission will likely be a bit higher due to the presence of three or four different vehicles that are designed to host or carry some of those payloads to different orbits. Spaceflight’s ‘Sherpa-AC1’ won’t have significant propulsion but it will carry several hosted payloads (‘hosted’ in the sense that the payload is not a free-flying satellite of its own) after deploying from Falcon 9.
The other two or three are true orbital transfer vehicles (OTVs), meaning that they have some kind of propulsion and are designed to deploy smaller satellites in customized orbits. The ultimate goal of the many startups trying to develop high-performance OTVs is to extract the best of both worlds from large rideshare missions and small rockets, combining ultra-cheap prices and orbits that are heavily optimized for each payload. Transporter-5 may carry Exolaunch’s “Reliant” OTV (unconfirmed) but is definitively scheduled to launch with D-Orbit’s “ION SCV-006” OTV and startup Momentus Space’s first ‘Vigoride’ OTV. Vigoride carries the unique distinction of being propelled by a first-of-its-kind “microwave electrothermal thruster” that turns water into a superheated plasma propellant.
Vigoride’s first true launch will be treated mainly as a test flight but it will also carry up to eight different small satellites. D-Orbit’s ION OTV only has one confirmed satellite on its manifest but will likely launch with at least a few more. All told, the number of satellites deployed as a result of Transporter-5 will likely be closer to 50 – a decent improvement over Transporter-4.
Several of those 50 or so payloads are particularly intriguing. Momentus Space’s first Vigoride OTV, if successful, could pave the way for the most capable commercial space tug currently available, with up to 2000 meters per second of delta V (dV) – a way to measure the stamina of rocket propulsion. NASA has also manifested its small Terabyte InfraRed Delivery (TBIRD) technology demonstrater satellite on Transporter-5 and will attempt to prove that it’s possible to use small, high-power lasers as extremely high-bandwidth downlinks. NASA hopes the tiny satellite will be able to transmit at up to 200 gigabits per second (Gbps), allowing it to downlink terabytes of data during a single pass over an Earth-based ground station.
AISTECH Space will launch an Earth observation satellite prototype outfitted with a first-of-its-kind high-resolution thermal imager. Last but certainly not least, Nanoracks and Maxar are scheduled to launch the first of multiple planned demonstrations and technology maturation missions for in-space manufacturing and construction technologies. The hosted payload is relatively simple by many measures and will only operate for about an hour, but it aims to demonstrate the first structural metal cutting in space.
Parent company Voyager Space ultimately wants to use the expertise it gains from the ‘Outpost Program’ to convert expended rocket upper stages into orbital ‘Outposts’ that will host customer payloads and support the continued development of in-space harvesting, recycling, construction, and more.
As of 5 am EDT (09:00 UTC), SpaceX still hasn’t officially confirmed via Tweet or website update that Transporter-5 is ‘go’ for launch. If it is, an official webcast available here will likely begin around 2:10 pm EDT (18:10 UTC).
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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
