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Tesla Model Y will awaken Elon Musk’s ‘Alien Dreadnaught’ factory

An artist's render of the Tesla Model Y. [Credit: Miguel Mass?/Twitter]

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Elon Musk’s “Alien Dreadnought” factory could see a second coming when Tesla Model Y is ready for production ramp, thanks to recent advancements in computer vision.

Before Tesla started the Model 3 ramp, Elon Musk described his vision for a hyper-automated factory that he described as “the machine that builds the machine.” Addressing investors, Musk revealed that the project’s code name was the “Alien Dreadnought,” a reference to the futuristic spacecraft usually utilized by extraterrestrials in sci-fi movies. Musk planned to use the Alien Dreadnought for the Model 3 ramp, and he expected the automated factory to be operational by 2018.

This timeline proved to be too optimistic, with the Tesla CEO later admitting that he had been far too enthusiastic with the Model 3 production line’s automation. “Humans are underrated,” Musk admitted in an interview with CBS. Ultimately, it was a combination of traditional human work and non-Alien-Dreadnought type of automation that became a breakthrough for the Model 3 ramp. Tesla has since gotten the hang of Model 3 production, with the company producing enough vehicles for the US, as well as Europe and China (at least for selected regions) today.

A Tesla Model 3 being assembled. (Photo: Tesla)

According to Ryan Kottenstette, who serves as the CEO of Cape Analytics, a group that conducts computer vision research, the challenges Tesla faced with the Model 3 ramp were caused by the limitations of robotic vision. Kottenstette notes that the robots Tesla utilized in the Model 3 line simply could not deal with unexpected events in the production process, such as different orientations of nuts and bolts, or complicated maneuvering between the car frame.

Musk mentioned one of these challenges in the Q1 2018 earnings call when he described a machine he fondly called “Flufferbot,” which had a lot of difficulties scooping out fiberglass mats (or “fluff” as Musk described it) for the Model 3 battery pack. Musk stated that Flufferbot eventually lost its job because it became evident that scooping out “fluff” is far easier when done with human hands.

An artist’s render of the Tesla Model Y. [Credit: Miguel Massé/Twitter]

Kottenstette argues that computer vision has progressed significantly in recent years, with approaches such as GANs (Generative Adversarial Networks) and unsupervised learning expanding the envelope of computer vision in terms of applications, robustness, and reliability. These advancements can help address some of the challenges faced by Tesla during the days of the Model 3 ramp. Coupled with Tesla’s proficiency in tech, and augmented by the company’s robust AI team, these new computer vision approaches can be leveraged to allow another attempt at Elon Musk’s “Alien Dreadnought” factory.

An opportunity is actually preseting itself for Tesla, as the company is scheduled to unveil the Model Y SUV next week. Just like the Model 3, the Model Y is a high-volume, mass-market vehicle, with Elon Musk expecting demand for the vehicle to go as high as 1 million units per year. Unlike the Model S, X, and Model 3, Tesla is set to start the initial production of the Model Y at Gigafactory 1 in Nevada, which means that the company can design and set up the SUV’s production lines from a blank slate. Thanks to the Model Y, Elon Musk’s “Alien Dreadnought” factory might end up being closer than we think.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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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