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SpaceX’s Starship rocket just took a big leap towards orbit with latest test success

Starship has passed the most significant milestone in the history of the ambitious launch vehicle. (NASASpaceflight - bocachicagal)

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A full-scale Starship rocket has passed a critical test for the first time ever, strongly suggesting that the next-generation launch vehicle could be much closer to orbital readiness than most would imagine.

To be clear, a huge amount of work remains before Starship can be deemed anywhere close to its first orbital flight tests, not the least of which is the fabrication and assembly of the first massive Super Heavy booster(s). However, after Starship SN4’s latest successful May 9th test, it’s hard to see any apparent showstoppers that can’t be handled with a combination of fairly routine testing and iterative progress, as well as time and money. There is certainly room for improvement throughout the program but SpaceX has effectively demonstrated that the biggest practical concerns about its approach to Starship are moot.

Captured live on May 9th and 10th by local resident and photographer Mary (bocachicagal) with the help of NASASpaceflight.com, SpaceX worked for about two days to reconfigure its fourth full-scale Starship prototype after two successful Raptor engine static fires and prepare it for a different kind of test. That work mainly involved removing said Raptor and replacing it with a hydraulic ram stand used to simulate the thrust of 1-3 engines without actually needing to perform a static fire test, further allowing SpaceX to simulate much longer engine operations than its spartan test pad could survive. Around 9pm CDT on May 9th (02:00 UTC, May 10), Starship SN4’s latest trial began.

Known as a cryogenic pressure and load test, it differed from a prior “cryo proof test” completed on April 26th, in which Starship was fully loaded with liquid nitrogen (more than twice as cold as dry ice), pressurized to a bit less than 5 bar (~70 psi), and stressed with hydraulic rams. About a week later, after installing a Raptor engine on a full-scale Starship prototype for the first time ever, Starship SN4 fired up said engine on May 5th – another historic first for the next-generation launch vehicle. 30 hours later, SpaceX performed another wet dress rehearsal (WDR) with liquid methane and oxygen and fired up Starship’s Raptor engine again.

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After about 48 hours of reconfiguration, SpaceX moved on to a much more serious cryogenic test. As noted by CEO Elon Musk, the 4.9 bar the rocket previously reached was accepted as enough to perform a Raptor static fire test and possibly enough for a low-stress, low-altitude flight test to ~150m (500 ft). For orbital flight, however, Starship needs to withstand a minimum of 6 bar (~90 psi), while 8.5 bar (125 psi) is preferable to give the rocket the 1.4x safety factor optimal for human spaceflight.

This time, SpaceX – having successfully gathered data from two static fire tests and several wet dress rehearsals – was ready to risk Starship SN4 and pressurized it all the way to 7.5 bar (~110 psi). While ~12% shy of minimum human spaceflight standards, Starship SN4 successfully reached and maintained 7.5 bar while the ship stressed with hydraulic rams to simulate the thrust of three Raptor engines, all of which it survived fully intact. What 7.5 bar does offer, however, is a 1.25x safety factor – on the higher end of aerospace industry standards for uncrewed orbital spaceflight (i.e. cargo/satellite launches).

If Starship can reliably sustain tank pressures of 7.5 bar, the ship’s structure is effectively ready for orbital flight. (SpaceX)

Ready for orbit?

Technically, this means that – pending much additional testing and verification with different serial prototypes and (likely) higher pressures – Starship’s stainless steel structure is effectively qualified for uncrewed orbital launches. Of course, reality is much more complex. To actually perform and survive orbital flights, SpaceX will first need to build and similarly qualify the first Super Heavy boosters and ensure that those unprecedentedly large rockets can survive and sustain ~20-30 Raptor engines firing simultaneously.

Super Heavy’s Raptor count has been reduce to 31 engines but that quantity will still give it the most of any rocket booster in history. (SpaceX)

Aside from Super Heavy, it’s unknown if SpaceX has begun testing Raptor engines at the durations they will need to burn to booster Starships into orbit (TBD; likely 5-10 minutes of continuous operation). Along those lines, SpaceX also needs to build, test, and qualify Raptor’s vacuum-optimized sibling to complement the sea level version’s smaller, less-efficient nozzle. Still, Musk has already revealed that RaptorVac could be a matter of weeks from its first static fire and rocket engine development – while incredibly challenging – is more of a known quantity for SpaceX.

Perhaps the most important unknown is whether SpaceX’s recent May 2020 WDRs and static fires have used autogenous pressurization, a more efficient method of pressurizing rockets by using hot gas generated by their own engines. It’s extremely likely that SpaceX has been autogenously pressurizing Starship SN4 for its recent tests, but if that weren’t the case, it would be a big source of schedule uncertainty without significant redesign work.

Ultimately, SpaceX appears to have proven that orbital-class rockets can be built cheaply out of commodified steel in extraordinarily spartan production facilities. Many, many challenges remain but the biggest uncertainty and hurdle facing SpaceX’s Starship program and ambitions is well on its way to being fully put to rest.

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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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https://twitter.com/Paddy_film/status/1996245521770364947?s=20

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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