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SpaceX acquires new photos of Starship landing sites with Mars-orbiting NASA satellite
SpaceX has reaffirmed its prioritization of the Arcadia Planitia – a low Martian plain – and adjacent areas as some of the most promising locations for early Starship landings, tasking a NASA satellite to gather updated photos of six potential landing sites.
First discovered and analyzed by author Robert Zimmerman on August 28th, SpaceX requested the landing site prospecting images from the University of Arizona, tasked with operating NASA’s JPL-built HiRISE spacecraft. Back before Red Dragon’s 2017 cancellation, SpaceX began the process of landing site analysis, a canvassing that ultimately settled on four possible locations, of which the Arcadia Planitia was viewed as most promising.
After at least 2.5 years of research, SpaceX thus appears to be confidently settling on one particular region of Mars for its first Starship landing(s) on the Red Planet. Located in Mars’ mid-northern latitudes, Arcadia Planitia – like its Latin namesake suggests – is a region of plains, specifically low plains per International Astronomical Union (IAU) standards. It has been described by NASA as “one of the few regions [of Mars] where abundant shallow ice is present at relatively low latitude”, desirable for an array of reasons.
Arcadia Planitia takes up much of the left-hand side of this spectacular 2017 panorama, stitched together from Mars Express images by Justin Cowart. On the scale of Martian spectacle, one could be forgiven for perceiving Arcadia as boring. In fact, that’s one of the main reasons SpaceX is interested in it – just as Arcadia looks rather featureless from orbit, it is relatively bereft of the boulder fields common in many other regions of Mars, translating into much less obstacle avoidance during landing.
Additionally, Arcadia Planitia is indeed a region of low plains – one of the lowest regions (relative to the mean surface level) on Mars. This translates into much higher atmospheric pressure (i.e. a thicker atmosphere), insulating the region from some of the extremes of Martian weather, as does its relative adjacency to the planet’s equator. Simultaneously, this wealth of atmosphere enables more efficient spacecraft landings. Per a September 2018 update, Starship is set to rely heavily on a series of atmospheric maneuvers to slow down, a strategy that significantly cuts the amount of propellant the spacecraft must use to land softly on Mars (and Earth!).

To tally: Arcadia Planitia offers (somewhat) warmer summers and winters due to its latitude, augmented by a low relative altitude that insulates the region from weather extremes and enables more efficient propulsive spacecraft landings.
However, perhaps more important than any of the above features is the fact that Arcadia Planitia is host to a vast wealth of water ice resources, ranging from frozen aquifers to glaciers in the adjacent Erebus Montes mountains. Of central importance to SpaceX’s strategy of affordably colonizing and exploring Mars is the decision to produce return propellant – needed for Starships to return to Earth – on Mars, known as in-situ resource utilization (ISRU). Starship’s use of methane and oxygen is almost entirely a result of this – methane is far easier to work with than hydrogen and can also be easily produced from water, as can oxygen.
The cleaner and more accessible the Martian water ice is, the easier it will be for SpaceX robots or astronauts to set up a propellant plant on Mars. Additionally, clean water is extremely expensive to transport in space, and a near-infinite supply of ice-derived water would be extremely useful for all sorts of human outpost needs.

SpaceX CEO Elon Musk believes that the company could be ready for Starship’s first uncrewed Mars launch as early as 2020 or 2022 Hohmann transfer opportunities, windows that permit a uniquely efficient journey from Earth to Mars.
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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.