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SpaceX recovery ships head to sea for first 'whole-fairing' catch attempt
After a brisk day-long cruise into the Atlantic Ocean, SpaceX’s twin Falcon fairing recovery ships have reached the general landing area to prepare for their first true ‘whole-fairing’ catch attempt.
Formerly known as Mr. Steven, GO Ms. Tree and new sister ship GO Ms. Chief departed Port Canaveral on December 14th and arrived at their designated recovery roughly 36 hours later. Now stationed just shy of 800 km (500 mi) downrange of SpaceX’s LC-40 Cape Canaveral Air Force Station (CCAFS) launch site, the ships are in position and can begin to prepare for Falcon 9’s Kacific-1/JCSAT-18 launch.
Scheduled to lift off no earlier than (NET) 7:10 pm ET, December 16th (00:10 UTC, Dec 17), Falcon 9 will place the ~6800 kg (15,000 lb) Kacific-1/JCSAT-18 communications satellite in a geostationary transfer orbit (GTO). Falcon 9 booster B1056 will attempt its third landing around nine minutes after launch, to be followed 25 minutes later by satellite deployment from the rocket’s upper stage. deploying the satellite around thirty minutes after launch.
If all goes according to plan, another 12-15 minutes after Falcon 9’s second stage (S2) deploys the Kacific-1/JCSAT-18 satellite, the rocket’s payload fairing halves will begin their final approach towards recovery ships Ms. Tree and Ms. Chief. Just shy of identical twins, the two ships have been outfitted with custom arms, boom supports, and nets with the intention of quite literally catching payload fairing halves out of the air after orbital Falcon 9 (and Heavy) launches.
SpaceX’s fairing recovery development program has had a long and arduous journey from Mr. Steven’s (now Ms. Tree’s) arrival at the company’s Port of Los Angeles dock space (late-2017) to the ship’s first attempted fairing catch (February 2018) and first successful catch (June 2019). In the 20+ months SpaceX has been attempting fairing recoveries, at least a dozen intentional soft ocean landings and seven net catches have been attempted, with numerous successful splashdowns and recoveries ultimately followed by two consecutive catches in June and August 2019.
The fact that SpaceX consecutively caught two fairing halves a little over two months apart after five failed catch attempts suggests that the company has effectively solved the majority of the fairing recovery challenge, becoming the first company (or space agency) in the world to do so. Unfortunately, a three-month launch lull after the second successful catch precluded any rapid-fire follow-up attempts and when that lull came to an end on November 11th, Ms. Tree and Ms. Chief were both ready but were forced to abort the attempt by rough seas.
Both ships actually spent several weeks docked (or stranded) in a North Carolina port after that aborted mission, potentially indicating that SpaceX had to fly a team north to inspect both ships’ arms and ensure that they could make the journey back to Port Canaveral. They were ultimately cleared and returned to their home port around ten days later, where their arms and booms were immediately removed. It’s unclear why that removal occurred but SpaceX’s recovery team rapidly reinstalled their arms in just a few days, followed by their nets soon after.
Given that their first simultaneous (i.e. ‘whole-fairing’) catch attempt was aborted before it could start, it’s safe to say that December 16th’s hopeful attempt will be Ms. Tree’s and Ms. Chief’s first side-by-side recovery mission. Both ships have successfully reached the recovery zone, a step further than they managed to get on their November attempt. Coincidentally, that November launch happened to mark both SpaceX’s and the world’s first launch of a flight-proven payload fairing, both halves of which were recovered from the ocean and represented a more or less worst-case scenario for reuse.
And nevertheless, that reuse was a flawless success, marred only by the fact that Ms. Tree and Ms. Chief were unable to attempt to recover the world’s first twice-flown payload fairing. In short, all the conditions are right for what could be the world’s first successful recovery of both halves of an orbital-class payload fairing. If successful, SpaceX will have effectively closed the book on Falcon 9 and Heavy reusability development, having proven that both boosters and fairings can be reliably and routinely recovered and reused.
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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.
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.
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.
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.
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.
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.
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.
Man credits Grok AI with saving his life after ER missed near-ruptured appendix
Tesla expands Model 3 lineup in Europe with most affordable variant yet
