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SpaceX could land Starship on Mars in 2024, says Elon Musk
Four years after Elon Musk revealed “aspirational” plans to launch Starships to Mars in 2022, the SpaceX CEO now believes that 2024 is a more accurate target.
For SpaceX, that two-year ‘delay’ is more impressive than anything given that the company practically restarted Starship development from scratch a year after Musk set the 2022 target. In late 2018, after more than two years of work developing a Starship (then BFR) built out of carbon fiber composites, the CEO revealed that the company was going to completely redesign the rocket to use steel for all major structures.
Two and a half years after that decision, SpaceX has built a vast Starship factory capable of building at least one ship per month, cumulatively fired dozens of full-scale Raptor engines for more than 30,000+ seconds, flown eight full-scale prototypes, and recovered the first full-size Starship in one piece after a high-altitude launch and bellyflop-style descent and landing.
It doesn’t come as a huge surprise that Starship probably wont be attempting any Mars launches in 2022. Had SpaceX not had to return to the drawing board in 2018, Musk may well have been able to achieve that 2022 goal, but wholly redesigning Starship with steel almost certainly delayed development by at least a year. For interplanetary launches, the most efficient trajectories – those that allow a rocket to maximize payload capacity – are only open for several weeks every ~25 months. That means that a rocket that’s one year behind a Mars launch window will still have to wait more than two years for the next launch opportunity.
In Starship’s case, even if SpaceX were ready for its first Mars cargo missions in 2023, it would need to wait until September or October 2024. That’s far from out of the question but three full years will arguably give SpaceX a good amount of time to both ensure that Starship is technically ready and reliable enough to land on Mars while also determining – and likely designing and building – the cargo those first Starships will carry.
SpaceX could also launch the first one or several Mars-bound Starships with an absolute minimum payload under the assumption that success will require several failures, in which case the company would have until 2026 to develop a system capable of finding and gathering Martian ice, processing it into cryogenic liquid oxygen and methane, and storing that propellant for months or even years. Without that complex system of in-situ resource utilization (ISRU), Starship will never be able to leave Mars, turning initial crewed missions into one-way trips.
In the meantime, while SpaceX has successfully proven that Starship’s exotic skydiver-style landing is viable on planets with atmospheres, orbital Starship flight tests will likely pose just as many challenges. Starship will have the largest heat shield of any spacecraft ever built, while that heat shield will also be the first non-ablative shield ever developed by SpaceX. Even if Starship aces reentries from low Earth orbit (LEO), reentries from geostationary, lunar, or Mars transfer orbits are all multiple times more stressful, requiring still more testing to ensure that its ceramic heat shield and steel hull can withstand interplanetary velocity reentries.
SpaceX will also have to develop unprecedented thermal management solutions to keep hundreds of tons of cryogenic liquid propellant at the right temperatures for weeks, months, or even years in orbit, deep space, and on the surfaces of other moons and planets. This is all to say that SpaceX has its work cut out for it as it approaches the dawn of orbital Starship flight tests and has to tackle a number of daunting technical challenges it might end up being the first to solve. But, as SpaceX always has, it will devour each problem piece by piece until Starship is exactly as capable and revolutionary as the company and its CEO have long promised – if a bit behind schedule.
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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
