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SpaceX readies for astronaut capsule recovery backup plan as rocket drone ship deploys to landing zone

The SpaceX autonomous spaceport drone ship Of Course I Still Love You returns empty to Port Canaveral following a Starlink mission missed landing attempt. (Credit: Richard Angle for Teslarati)

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Mission objectives of the SpaceX Crew Dragon Demo-2 test flight, have already commenced days ahead of the scheduled launch attempt. On Wednesday, May 27th at 4:33 pm EDT, Elon Musk’s rocket launching – and landing – company, SpaceX, will set out to achieve more firsts than it has ever attempted in one launch. The final Crew Dragon test flight will shuttle NASA astronauts Bob Behnken and Doug Hurley to the International Space Station for the very first time. Along with the primary mission objective to deliver the astronauts safely, many secondary objectives are built into the mission profile. One of which is autonomously turning the Falcon 9 booster around shortly after launch to land on a floating barge in the middle of the Atlantic Ocean.

During the late hours of Saturday, May 23rd, a trusted veteran member of the SpaceX fleet of recovery vessels, Tug Hawk, returned to Port Canaveral to transport SpaceX’s autonomous spaceport drone ship, Of Course I Still Love You (OCISLY) to the designated booster recovery zone some 510km downrange. It seems that Tug Hawk and its crew returned specifically to assist with the recovery efforts of SpaceX’s highest-profile launch to date as there was already another tug at Port Canaveral available to assist that was not used. The arrival was captured by long-time port activity documenter, Julia Bergeron, and reported by the unofficial Twitter SpaceX recovery vessel tracking account, SpaceXFleet.

The SpaceX recovery fleet portion of the Demo-2 mission got underway on the morning of Sunday (May 24th). Space Coast local Greg Scott was at Port Canaveral to capture Tug Hawk’s departure with OCISLY in tow just twelve hours after arriving. About an hour later, the OCISLY support vessel that carries cargo and crew essential for booster recovery efforts, GO Quest, departed. It will take Tug Hawk and OCISLY approximately two days to travel to the recovery zone, arriving about 24 hours before the launch attempt.

The propulsive landing of a booster at sea is not a new concept for SpaceX. However, it is a practice that can be somewhat tricky to get right every time due to a multitude of factors. Recently, SpaceX suffered the loss of the Falcon 9 boosters B1056 and B1048 following recent Starlink satellite launches. Both boosters suffered unrelated issues with high winds and software glitches resulting in failed attempts to stick the landing on OCISLY. However, SpaceX successfully demonstrated the reliability of the Falcon 9 landing capability with the flawless launch and landing of the April 22nd Starlink Falcon 9 B1051 booster.

A special circumstance of the Demo-2 mission is the added recovery requirements of the Crew Dragon capsule. With Crew Dragon launching from LC-39A at the Kennedy Space Center in Florida and splashdown designated for the Atlantic Ocean, various recovery zones span almost the entire length of the United States’ eastern seaboard and across the Atlantic Ocean to Ireland. Special recovery zones also are located throughout the Gulf of Mexico.

Typically, the recovery of a crew capsule would only be thought to occur upon mission end when it is on approach for splashdown after re-entry. However, the specially equipped SpaceX Crew Dragon recovery vessels, GO Searcher and GO Navigator, are required to be able to respond to a number of locations during launch and through the entire duration of Crew Dragon’s time on orbit chasing down the International Space Station prior to docking – for Demo-2 that will be nineteen hours. This is to ensure that in the unlikely event of Crew Dragon experiencing an emergency pad or launch abort scenario, the crew aboard can be safely rescued.

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To this end, GO Searcher departed Port Canaveral days ago destined for the Naval Air Station in Pensacola on Florida’s west coast. GO Navigator will remain at Port Canaveral until Crew Dragon returns for a splashdown following the conclusion of Demo-2. Dual Dragon recovery vessels stationed on either side of Florida ensures that Hurley and Behnken can be rescued should they require emergency recovery.

Should Demo-2 pass SpaceX’s upcoming final Launch Readiness Review scheduled for Monday, May 25th, all will proceed toward the launch attempt on Wednesday, May 27th at 4:33 pm EDT.

Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.

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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.

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Credit: @BLKMDL3/X

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.

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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.

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Credit: xAI

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.

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“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.

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Credit: Grok Imagine

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:

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  • 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.
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