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SpaceX already clearing Starship debris, preparing for next rocket rollout
Update: Half a day after Starship serial number 10 (SN10) became the first prototype to land in one piece, SpaceX has begun clearing its remains and preparing to roll the next rocket to the launch pad.
Never one to rest on its laurels, SpaceX appears to be wasting no time moving forward from Starship SN10’s successful landing and subsequent explosion. Almost a month ago, SpaceX stacked SN10’s successor – Starship SN11 – to its full height and has spent the last four weeks closing out the virtually identical rocket. As of SN10’s launch debut, Starship SN11 has been more or less finished and ready to roll to the launch pad for at least a week.
At the same time as SpaceX teams have begun the process of recovering SN10’s remains, the company also transported a large crane to the launch site – the same crane used to install Starships SN8, SN9, and SN10 at the launch pad. Stay tuned for updates as SpaceX prepares SN11 for a fourth high-altitude launch and landing attempt – this time with the goal of keeping the rocket intact after landing.
In a classically spectacular fashion, a SpaceX Starship prototype has successfully touched down in one piece for the first time ever, only to explode minutes later after catching itself on fire.
Rolled from SpaceX Boca Chica Starship factory to test and launch facilities just a mile down the road on January 28th, Starship SN10 lifted off just five weeks later – the fastest factory-to-launch flow yet. The speed of that turnaround was mainly made possible thanks to an exceptionally smooth test campaign, passing cryogenic proof and static fire tests after only a few attempts.
Prior to its second launch attempt, Starship SN10 automatically aborted a few seconds prior to its first attempt after the rocket’s flight computer determined that its three Raptor engines were producing more thrust than expected. Within half an hour of the abort, CEO Elon Musk took to Twitter to reveal the cause and stated that SpaceX would be tweaking the flight software’s thrust limits and recycling for another shot at launch around two hours later.
Up to the last 20 or so seconds of the 6.5-minute flight test, Starship SN10’s launch debut was virtually identical to Starships SN8 and SN9, both of which made it just one or two dozen seconds away from a soft landing. However, after SN9, SpaceX optimized the landing process to add additional redundancy, meaning that SN10 reignited all three of its Raptor engines – instead of just two – for its flip and landing burn.
Exactly as planned, SN10 fired up those engines, autonomously analyzed their performance, and then shut down two Raptors to leave the best-behaving engine to complete the final landing burn. Unlike SN8 and SN9, that maneuver went about as well as it could have, nearly slowing SN10 to a hover with one (seemingly) healthy engine to take it the rest of the way to the ground.
After all that heroic effort and for the first time ever, Starship SN10 proceeded to touch down in one piece. Through the eyes of a drone hovering far away from the launch complex, the landing couldn’t exactly be considered ‘soft,’ however, and SN10 impacted the landing zone with some substantial momentum – likely far too much for its tiny legs to handle.
However, more importantly, SN10 appeared to ignite one or two of its own gaseous oxygen or methane vents, triggering a fire that remained visible until well after the hard – but intact – landing. From official and unofficial views of the landed vehicle, Starship SN10 had a significant lean and appeared to have no more than a few inches to a foot of clearance between its aft skirt and the concrete pad. Remote-controlled firefighting spigots were able to extinguish any external sign of fire but that lack of clearance may have prevented the water from doing much inside the skirt, ultimately dooming Starship SN10.
Regardless of where exactly that fire ‘broke through,’ so to speak, the original cause of the fire – accidentally igniting a vent plume – is unlikely to be a hard problem to fix, and it’s safe to say that SN10’s intact landing is an extraordinary success for SpaceX. In its official webcast, SpaceX engineer John Insprucker confirmed that Starship SN11 is all but complete and could roll out to the launch pad to pick up where SN10 left off almost as soon as it’s safe to do so.
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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
