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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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The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
Autonomous vehicle red tape gets slashed by Trump Administration
Elon Musk has a crazy prediction about AI in two years
