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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 Full Self-Driving is going to be getting a major parking upgrade. That’s according to CEO Elon Musk, who detailed a crafty new feature that will improve parking preferences, removing a layer of human input.
Musk said that upcoming releases of Full Self-Driving will “remember your parking preferences.” It will go to the location you prefer, based on where you’ve parked in the past, instead of taking the first spot available, which is where the suite is currently.
The CEO went on to explain that destination parking is “by far” the biggest reason for intervention during FSD operation. We’d have to believe this is true; many takeovers in my Model Y, which runs the latest version of FSD as it is in the Early Access Program, are due to parking because it chooses a spot I do not want to be in.
Many times, as soon as I enter a parking lot, I take over and park manually. I prefer to park away from the entrance of wherever I am, away from cars. Too many lessons learned over the years from people with free-swinging doors.
Upcoming releases of FSD will remember your parking preferences, so that the car goes to the right location at your home, office, school drop off, etc.
Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely…
— Elon Musk (@elonmusk) June 17, 2026
We’d imagine these new updates will also solve things like parking orientation. Let’s say when you arrive at work, you always park in the third spot in the third row, and you prefer to back in. It seems as if Musk is implying that your car will now do this, learning from takeovers and aiming to eliminate the need to manually park whenever possible.
This is a major upgrade because parking is a major shortcoming of FSD currently. We’ve requested things like manual input of parking preferences, choosing to park far away, first available, or away from cars, for example.
This is a big reason Parking Preferences with Supervised FSD will be so valuable.
If possible, parking a little further away and being distant from people like this is worth it. https://t.co/1YqQLgnfTz pic.twitter.com/3Ac71KQiQ3
— TESLARATI (@Teslarati) June 7, 2026
However, some have used the option of dropping a pin at the location you’d like to park at your destination. This has worked some of the time, but FSD will still choose to park in whatever it sees first.
Musk did not give a timetable for when the improvements would be released, but it is likely to come soon. Tesla has been releasing a new FSD version every few weeks, so we may not have to wait long to test it.
In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.
John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.
FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.
As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.
A Model Y driver started experiencing a medical emergency with chest pain mid-drive & called his son.
His son then remotely rerouted the car – which had FSD Supervised enabled – to the nearest hospital & let them know the vehicle was en route. ER staff were standing by on… pic.twitter.com/yi1tHISK9y
— Tesla North America (@tesla_na) June 16, 2026
The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.
Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.
Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.
This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.
The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.
For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.
In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”
The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.
Full movies by the end of this year https://t.co/kkBrngWA0X
— Elon Musk (@elonmusk) June 17, 2026
Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.
The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.
There are a handful of things that truly outline Grok’s capabilities:
- Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
- Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
- Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer
Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.
There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.
Tesla Full Self-Driving is getting a major parking upgrade, Elon Musk says
Tesla Full Self-Driving and App Connectivity save life in medical emergency
