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SpaceX adds new ship to fleet after fairing catcher Ms. Tree nails second recovery in a row
In a telltale sign that SpaceX is growing much more confident in its ability to consistently recover Falcon 9 fairings, the company has accepted delivery of second recovery ship almost identical to GO Ms. Tree (formerly Mr. Steven) just days after nailing its second fairing catch in a row.
Previously known as M/V Captain Elliott, the new ship appears to have been acquired (or leased) by Guice Offshore (GO) from SEACOR Marine, who purchased Elliott from struggling marine services company Seatran Marine in 2017. One way or another, SpaceX now has a pair of Port Canaveral-based fairing recovery ships in hand – named Ms. Tree and Ms. Chief – and is thus making excellent progress towards catching and reusing both halves of the same Falcon 9 (or Heavy) fairing.
Splurging on ‘ships
Put simply, whoever is paying for or has paid for the two fast supply vessels (FSVs) that are now a part of SpaceX’s rocket recovery fleet has/had a tidy sum to spend. For ships as large, new, and high-performance as Ms. Tree and Ms. Chief, both completed in the mid-2010s, SpaceX or GO would be lucky to pay less than $10M apiece and each ship could easily cost more than $20M, depending on a variety of unknowns. Previous owner Seatran Marine is/was admittedly in dire financial straits, so that could have resulted in an effective fire-sale discount.
Regardless, this is to say that SpaceX was likely willing to splurge and open its wallet wide for extremely high-quality fairing recovery vessels because of just how expensive those fairings are. According to CEO Elon Musk circa 2017, it costs SpaceX $5-6M total to produce a set of Falcon fairing halves, equivalent to roughly 10% of the cost of a Falcon 9 launch ($50M-60M).
As an example, assume that SpaceX paid a full $50M for Ms. Tree and Ms. Chief – effectively a worst-case cost scenario. Assume that recovering and reusing net-caught Falcon fairings still costs half as much as building new fairings ($3M for two halves), also likely a worst-case scenario given the relative mechanical and propulsive simplicity of fairings.
In this mediocre-at-best scenario, it would still take SpaceX less than 20 launches with both halves recovered to completely recoup the cost of both fairing recovery ships. In the event that reusing caught fairings is only 25% as expensive as building new fairings, SpaceX could recoup its fleet investments in just 10 launches. In fact, cost reduction may even be a secondary consideration next to the potential for effectively doubling fairing production with the same facilities. From that perspective, spending, say, $50M on development and another $50M on cutting-edge recovery vessels could easily be a bargain, especially compared to the $1B+ SpaceX has spent deloping Falcon 9 booster reusability.
Fairing-catcher Mk4
With GO Ms. Chief’s August 10th arrival at Port Canaveral, SpaceX’s team of Florida-based recovery engineers and technicians will now be tasked with modifying the ship for Falcon fairing catching. SpaceX completed its first fairing recovery-focused modifications back in late 2017, likely producing what was the first version of fairing recovery tech (Mk1). The net proved to be far too small and was replaced in summer 2018 with a net and arms likely 4X larger (Mk2).
Roughly half a year and several missed catches after Mr. Steven’s Mk2 net was installed, the ship transited the Panama Canal and arrived at Port Canaveral in February 2019. Barely a week or two later, Mr. Steven suffered a failure at sea – well before a planned catch attempt – that saw the ship limp back to port missing the entirety of its net and two of four arms.
After another four months in port, SpaceX installed a third net and arms system on Mr. Steven, featuring distinct differences and apparent upgrades that likely make it Mk3. Shortly after installation and a quick renaming from Mr. Steven to GO Ms. Tree, Ms. Tree’s inaugural Mk3 recovery attempt culminated in SpaceX’s first and second successful fairing catches – back-to-back – on June 24th and August 6th.
Finally, this brings us to the blank slate that is GO Ms. Chief. Compared to Ms. Tree, both vessels are nearly identical: both are built by Gulf Craft, LLC, both are 205 ft x 34 ft (62m x 10m), both have decks rated for ~405 metric tons (900,000 lb), and have top speeds of 26-32 knots (30-37 mph, 50-60 km/h; fully-loaded vs. empty). The lone point of difference is power: Ms. Chief’s engines produce 500 more horsepower and its generators produce an additional 120 kW of power, respective improvements of 5% and 16% relative to Ms. Tree (Mr. Steven).
Despite both ships being nearly identical, SpaceX is unlikely to simply copy and paste Ms. Tree’s thus far successful arms and net, likely instead doing what the company is famous for and fabricating a new and improved variant of the fairing recovery mechanism. This would presumably translate to Mk4. Conveniently, SpaceX appears to be heading into a rare period of no launches, likely stretching almost three months from August 6th (AMOS-17) to late October.
If Mr. Steven and Ms. Tree’s transformations are anything to go by, that hefty chunk of time that should be more than sufficient to fully outfit Ms. Chief with a fresh fairing recovery mechanism, assuming SpaceX has been simultaneously fabricating the hardware in anticipation of Ms. Chief’s arrival.
For now, we’ll have to wait and see if SpaceX’s next launches – both believed to be 60-satellite Starlink missions – will mark the recovery debut of Ms. Chief, as well as the first attempted catch of both Falcon fairing halves. Additionally, following SpaceX’s second successful fairing half catch on August 6th, it’s possible that the company has two recovered halves capable of making a full, flight-proven fairing. Either way, a Starlink launch will likely support the flight-debut of a reused fairing and will almost certainly host the first attempted simultaneous recovery of both fairing halves.
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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
