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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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Man credits Grok AI with saving his life after ER missed near-ruptured appendix

The AI flagged some of the man’s symptoms and urged him to return to the ER immediately and demand a CT scan.

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Credit: Grok Imagine

A 49-year-old man has stated that xAI’s Grok ended up saving his life when the large language model identified a near-ruptured appendix that his first ER visit dismissed as acid reflux. 

After being sent home from the ER, the man asked Grok to analyze his symptoms. The AI flagged some of the man’s symptoms and urged him to return immediately and demand a CT scan. The scan confirmed that something far worse than acid reflux was indeed going on.

Grok spotted what a doctor missed

In a post on Reddit, u/Tykjen noted that for 24 hours straight, he had a constant “razor-blade-level” abdominal pain that forced him into a fetal position. He had no fever or visible signs. He went to the ER, where a doctor pressed his soft belly, prescribed acid blockers, and sent him home. 

The acid blockers didn’t work, and the man’s pain remained intense. He then decided to open a year-long chat he had with Grok and listed every detail that he was experiencing. The AI responded quickly. “Grok immediately flagged perforated ulcer or atypical appendicitis, told me the exact red-flag pattern I was describing, and basically said “go back right now and ask for a CT,” the man wrote in his post. 

He copied Grok’s reasoning, returned to the ER, and insisted on the scan. The CT scan ultimately showed an inflamed appendix on the verge of rupture. Six hours later, the appendix was out. The man said the pain has completely vanished, and he woke up laughing under anesthesia. He was discharged the next day.

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How a late-night conversation with Grok got me to demand the CT scan that saved my life from a ruptured appendix (December 2025)
byu/Tykjen ingrok

AI doctors could very well be welcomed

In the replies to his Reddit post, u/Tykjen further explained that he specifically avoided telling doctors that Grok, an AI, suggested he get a CT scan. “I did not tell them on the second visit that Grok recommended the CT scan. I had to lie. I told them my sister who’s a nurse told me to ask for the scan,” the man wrote. 

One commenter noted that the use of AI in medicine will likely be welcomed, stating that “If AI could take doctors’ jobs one day, I will be happy. Doctors just don’t care anymore. It’s all a paycheck.” The Redditor replied with, “Sadly yes. That is what it felt like after the first visit. And the following night could have been my last.”

Elon Musk has been very optimistic about the potential of robots like Tesla Optimus in the medical field. Provided that they are able to achieve human-level articulation in their hands, and Tesla is able to bring down their cost through mass manufacturing, the era of AI-powered medical care could very well be closer than expected. 

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Tesla expands Model 3 lineup in Europe with most affordable variant yet

The Model 3 Standard still delivers more than 300 miles of range, potentially making it an attractive option for budget-conscious buyers.

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Credit: Tesla

Tesla has introduced a lower-priced Model 3 variant in Europe, expanding the lineup just two months after the vehicle’s U.S. debut. The Model 3 Standard still delivers more than 300 miles (480 km) of range, potentially making it an attractive option for budget-conscious buyers.

Tesla’s pricing strategy

The Model 3 Standard arrives as Tesla contends with declining registrations in several countries across Europe, where sales have not fully offset shifting consumer preferences. Many buyers have turned to options such as Volkswagen’s ID.3 and BYD’s Atto 3, both of which have benefited from aggressive pricing.

By removing select premium finishes and features, Tesla positioned the new Model 3 Standard as an “ultra-low cost of ownership” option of its all-electric sedan. Pricing comes in at €37,970 in Germany, NOK 330,056 in Norway, and SEK 449,990 in Sweden, depending on market. This places the Model 3 Standard well below the “premium” Model 3 trim, which starts at €45,970 in Germany. 

Deliveries for the Standard model are expected to begin in the first quarter of 2026, giving Tesla an entry-level foothold in a segment that’s increasingly defined by sub-€40,000 offerings.

Tesla’s affordable vehicle push

The low-cost Model 3 follows October’s launch of a similarly positioned Model Y variant, signaling a broader shift in Tesla’s product strategy. While CEO Elon Musk has moved the company toward AI-driven initiatives such as robotaxis and humanoid robots, lower-priced vehicles remain necessary to support the company’s revenue in the near term.

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Reports have indicated that Tesla previously abandoned plans for an all-new $25,000 EV, with the company opting to create cheaper versions of existing platforms instead. Analysts have flagged possible cannibalization of higher-margin models, but the move aims to counter an influx of aggressively priced entrants from China and Europe, many of which sell below $30,000. With the new Model 3 Standard, Tesla is reinforcing its volume strategy in Europe’s increasingly competitive EV landscape.

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Tesla FSD (Supervised) stuns Germany’s biggest car magazine

FSD Supervised recognized construction zones, braked early for pedestrians, and yielded politely on narrow streets.

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Credit: Grok Imagine

Tesla’s upcoming FSD Supervised system, set for a European debut pending regulatory approval, is showing notably refined behavior in real-world testing, including construction zones, pedestrian detection, and lane changes, as per a recent demonstration ride in Berlin. 

While the system still required driver oversight, its smooth braking, steering, and decision-making illustrated how far Tesla’s driver-assistance technology has advanced ahead of a potential 2026 rollout.

FSD’s maturity in dense city driving

During the Berlin test ride with Auto Bild, Germany’s largest automotive publication, a Tesla Model 3 running FSD handled complex traffic with minimal intervention, autonomously managing braking, acceleration, steering, and overtaking up to 140 km/h. It recognized construction zones, braked early for pedestrians, and yielded politely on narrow streets. 

Only one manual override was required when the system misread a converted one-way route, an example, Tesla stated, of the continuous learning baked into its vision-based architecture.

Robin Hornig of Auto Bild summed up his experience with FSD Supervised with a glowing review of the system. As per the reporter, FSD Supervised already exceeds humans with its all-around vision. “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention,” the journalist wrote. 

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Tesla FSD in Europe

FSD Supervised is still a driver-assistance system rather than autonomous driving. Still, Auto Bild noted that Tesla’s 360-degree camera suite, constant monitoring, and high computing power mark a sizable leap from earlier iterations. Already active in the U.S., China, and several other regions, the system is currently navigating Europe’s approval pipeline. Tesla has applied for an exemption in the Netherlands, aiming to launch the feature through a free software update as early as February 2026.

What Tesla demonstrated in Berlin mirrors capabilities already common in China and the U.S., where rival automakers have rolled out hands-free or city-navigation systems. Europe, however, remains behind due to a stricter certification environment, though Tesla is currently hard at work pushing for FSD Supervised’s approval in several countries in the region.

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