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SpaceX to catch two Falcon 9 fairings at once with twin nets

In the last two weeks, SpaceX rapidly took Fast Supply Vessel (FSV) GO Ms. Chief from a blank slate to a nearly-complete twin of Ms. Tree (formerly Mr. Steven). (Greg Scott - @GregScott_photo)

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Over the last three or so weeks, SpaceX rocket recovery technicians and engineers have rapidly modified a second Falcon fairing recovery vessel – known as GO Ms. Chief – to the point that it appears to be almost ready for its first catch attempt.

Essentially a twin of GO Ms. Tree (formerly Mr. Steven), Ms. Chief now features four arms – each with two white support beams – that hold two massive, retractable nets. Ultimately, SpaceX has augmented Ms. Tree with Ms. Chief in a bid to simultaneously catch both parasailing halves of a Falcon 9 (or Heavy) payload fairing after any given launch, the Holy Grail of the company’s fairing recovery program.

A few days after the above photos were taken, SpaceX successfully installed Ms. Chief’s fairing-catching nets and has since taken the ship a few miles beyond Port Canaveral limits for sea trails – presumably meant to verify center of gravity and other performance characteristics. This may or may not have included tests of the newly-modified ship’s fairing recovery mechanism, referring to what is understood to be a direct link between fairing and ship designed to autonomously guide both to the right position for a catch.

Ensuring that that new hardware and software is in good working order is probably even more important than installing Ms. Chief’s arms and nets, evidenced by the fact that it took SpaceX more than 16 months and five failed attempts before Mr. Steven (now Ms. Tree) successfully caught its first fairing. The first success came on June 25th after Falcon Heavy’s third successful launch.

CEO Elon Musk posted a video – captured by drone – documenting Ms. Tree’s second successful Falcon 9 fairing catch ever. (SpaceX)

In an encouraging sign, SpaceX’s very next launch (with a fairing) – Falcon 9’s August 6th AMOS-17 mission – marked the second successful fairing catch ever, suggesting that the breakthrough(s) that enabled that first success may be broadly applicable. SpaceX’s next launch with a payload fairing should essentially confirm whether the company’s fairing recovery program has truly reached the end of the tunnel or if there is some distance still to go.

Since AMOS-17, however, SpaceX has been in the midst of a period of launch inactivity unprecedented since Falcon 9’s catastrophic Amos-6 failure in September 2016, triggering a fleet-grounding that lasted four months. That lull has undoubtedly given SpaceX’s recovery team plenty of time to outfit Ms. Chief and perform shakedowns of the vessel’s new hardware, but it also means that there have been zero opportunities for additional fairing-recovery data gathering.

According to publicly-available launch manifests, SpaceX no longer has firm dates for its next launch(es). Previously expected to be one or even two Starlink launches, those missions are now scheduled to launch sometime in October or November. The Kacific-1 communications satellite currently has a (fairly) firm launch target of November 11th, making the mission the best possible bet for SpaceX’s next launch – at least for the time being.

On the plus side, regardless of when SpaceX is able to break its now two-month-long launch hiatus, it appears extremely likely that said launch will become the first attempt at simultaneously catching both Falcon fairing halves. If successful, it could quite rapidly pave the way towards fast, low-cost fairing reuse, a necessity for the economic deployment of SpaceX’s Starlink satellite internet constellation.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla owners surpass 8 billion miles driven on FSD Supervised

Tesla shared the milestone as adoption of the system accelerates across several markets.

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Credit: Tesla

Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account. 

Tesla shared the milestone as adoption of the system accelerates across several markets.

“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average. 

The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.

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At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.

Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.

As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.

During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.

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The Boring Company’s Music City Loop gains unanimous approval

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.

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(Credit: The Boring Company)

The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown. 

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.

Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.

The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post. 

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Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.

“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said. 

The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.

Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”

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Tesla announces crazy new Full Self-Driving milestone

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

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Credit: Tesla

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

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