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SpaceX Dragon carries four astronauts home after record-breaking voyage
SpaceX’s first operational Crew Dragon spacecraft has safely returned its four-astronaut crew back to Earth after a record-breaking voyage in space.
Around eight hours after JAXA astronaut Soichi Noguchi and NASA astronauts Shannon Walker, Victor Glover, and Mike Hopkins undocked from the International Space Station (ISS) and began their descent, Crew Dragon ‘Resilience’ (capsule C207) gently splashed down in the Gulf of Mexico a few dozen miles off the coast of western Florida. Marking the second crewed splashdown of the first crewed US space capsule developed and flown since the end of the Apollo Program almost half a century ago, SpaceX’s successful Crew-1 recovery is extraordinarily significant.
First and foremost, Crew-1’s recovery marks the first time in US history that a crewed spacecraft has successfully returned orbiting astronauts to Earth after spending more than a few months (84 days) in orbit. In fact, Crew Dragon C207 ultimately doubled that Apollo era record, spending a full 168 days (almost six months) in the vacuum of space. Only Russia has extensive experience operating crewed spacecraft in space for half a year or more, meaning that NASA and SpaceX were venturing into the (relative) unknown with their first attempt at a similar feat.
Had something gone awry during Crew-1’s ISS departure or reentry, descent, and splashdown, SpaceX and NASA could have been forced to grapple with the fact that Crew-2’s Crew Dragon might not longer be considered safe enough to return its own four-astronaut crew back to Earth five months from now. Of course, the duo assuredly didn’t make the decision to fly Crew-2 before Crew-1’s recovery lightly and there was clearly a significant degree of confidence that an extra ~100 days in orbit would be a marginal risk – but a risk it still certainly was.
Thankfully, Crew-1’s ISS departure and splashdown was truly flawless, effectively retiring what little risk remained and confirming beyond a shadow of a doubt that SpaceX’s first crewed spacecraft is safe for human spaceflight.



Notably, in another demonstration of NASA’s increasingly extraordinary trust in SpaceX, Crew-1’s recovery was the first time a crewed spacecraft has landed in the ocean at night since Apollo 8 splashed down in 1968. While obviously far from preferable compared to a normal daylight recovery, sea and weather conditions were apparently too good to pass up and SpaceX’s recovery teams have already extensively trained for nighttime splashdowns.
Just a few weeks prior, the exact same Crew Dragon became the first US spacecraft ever to switch docking ports while in orbit – a feat it completed without issue. In other words, Crew Dragon Resilience (C207) is the first crewed space capsule to fly four people, splash down at night, and switch docking ports in orbit, as well as the first US crewed spacecraft to spend more than three months in space and first privately-developed spacecraft to complete an operational astronaut transport mission.

Now that Crew-1 has vacated its ISS docking port, SpaceX’s second upgraded Cargo Dragon spacecraft is clear to launch and dock with the ISS as early as June 3rd. In late October, SpaceX is scheduled to perform an almost identical Dragon ‘hand-off,’ launching Crew-3 and four more international astronauts to briefly join Crew-2’s Dragon at the ISS before the latter vehicle heads back to Earth with its own crew of four.
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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.