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SpaceX Starship prototype bears down on first Raptor engine tests
SpaceX’s fifth full-scale Starship prototype is fast approaching its first Raptor static fire tests after the company recently delivered one of the newest engines to the launch site.
Known as Starship SN5, the ship is the fifth SpaceX has built since full-scale prototype development began in early 2019, as well as the fourth full-scale ship the company has completed since it began producing upgraded hardware in January 2020. SN5 rolled from SpaceX’s Boca Chica, Texas rocket factory to nearby test and launch facilities on June 24th, less than a month after Starship SN4 was destroyed by operator error minutes after completing its fourth Raptor static fire in four weeks.
While Starship SN5 was already more or less complete, SN4’s explosive demise damaged the launch mount (used to secure and fuel prototypes) beyond repair, forcing SpaceX to rapidly build and outfit a replacement. SpaceX finished that replacement mount around June 20th, installed SN5 on it a few days later, and then spent about a week finalizing and inspecting both components.
After barely a month of downtime, Starship SN5 kicked off its first gauntlet of tests late on June 30th, carrying on into the early morning of July 1st. As usual, SpaceX began with an ambient-temperature pressure test, filling Starship’s tanks with neutral nitrogen gas to check for leaks. This time around, SN5 must have been put together with exceptional care, as the company was able to immediately proceed into the ship’s first cryogenic proof test just a few hours later.
CEO Elon Musk has yet to offer any confirmation but the implication is that SN5 performed beautifully during its first liquid nitrogen proof test. Notably, based on NASASpaceflight.com’s excellent unofficial coverage, SN5’s cryo proof was uniquely ambitious. It’s unclear what if the test infrastructure, SN5, general confidence in the vehicle, or some combination of the above components were upgraded, but SpaceX appeared to load Starship SN5 with liquid nitrogen incredibly quickly, taking just 20-30 minutes to fully fuel the rocket. Given that all of that liquid nitrogen (some 1000+ metric tons or ~3.2 million gallons) is being loaded through a single “quick disconnect” panel, it’s no mean feat and far outweighs SpaceX’s already speedy Falcon 9 and Heavy propellant loading.
SpaceX is famously the only current launch vehicle operator known to “sub-cool” its rockets’ propellant, effectively squeezing a performance boost of 5-10% out of the same rocket hardware by making said propellant colder – and thus denser. That performance increase comes with tradeoffs, though, adding significantly tighter operational constraints, lowering delay tolerances, and necessitating an extremely quick propellant load. Sub-cooled liquid oxygen and methane has always been part of SpaceX’s plans for Starship, so fast-load tests were inevitable, but it’s a great sign that the company is starting to seriously think about capabilities that will be necessary for efficient orbital launches.
Meanwhile, labeled “27”, the engine – logically assumed to be Raptor SN27 – SpaceX has just installed on Starship SN5 is also of interest. On top of Musk’s recent confirmation that SpaceX is already building Raptor SN30 (probably SN31 or SN32, now), SN27’s assignment to Starship SN5 confirms that the company has managed to complete (and test) at least one next-generation engines every other week since the first full-scale engine shipped to McGregor, Texas in February 2019.
For a brand new engine as complex as Raptor, that’s an impressive production milestone. Per Musk, the end-goal is to produce at least one Raptor per day in the near term – a necessity given that each Starship and Super Heavy booster pair will require at least 37 engines. To feasibly build a fleet of tens – let alone hundreds or thousands – of Starships and boosters, one engine per day is arguably the bare minimum required just for early orbital launch attempts and initial operations.
According to published schedules, Starship SN5’s first live wet dress rehearsal (WDR) and static fire tests could happen as early July 8th, with backups on the 9th and 10th. Coincidentally, SpaceX’s next orbital Falcon 9 launch is also expected on the 8th, meaning that both Starship and Falcon 9 could fire up more or less simultaneously.
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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
