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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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Tesla FSD V14.2.1 is earning rave reviews from users in diverse conditions

Tesla’s Full Self-Driving (Supervised) software continues its rapid evolution, with the latest V14.2.1 update drawing widespread praise.

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Credit: Grok Imagine

Tesla’s Full Self-Driving (Supervised) software continues its rapid evolution, with the latest V14.2.1 update drawing widespread praise for its smoother performance and smarter decision-making.

Videos and firsthand accounts from Tesla owners highlight V14.2.1 as an update that improves navigation responsiveness, sign recognition, and overall fluidity, among other things. Some drivers have even described it as “more alive than ever,” hinting at the system eventually feeling “sentient,” as Elon Musk has predicted.

FSD V14.2.1 first impressions

Early adopters are buzzing about how V14.2.1 feels less intrusive while staying vigilant. In a post shared on X, Tesla owner @LactoseLunatic described the update as a “huge leap forward,” adding that the system remains “incredibly assertive but still safe.”

Another Tesla driver, Devin Olsenn, who logged ~600 km on V14.2.1, reported no safety disengagements, with the car feeling “more alive than ever.” The Tesla owner noted that his wife now defaults to using FSD V14, as the system is already very smooth and refined.

Adverse weather and regulatory zones are testing grounds where V14.2.1 shines, at least according to testers in snow areas. Tesla watcher Sawyer Merritt shared a video of his first snowy drive on unplowed rural roads in New Hampshire, where FSD did great and erred on the side of caution. As per Merritt, FSD V14.2.1 was “extra cautious” but it performed well overall. 

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Sign recognition and freeway prowess

Sign recognition also seemed to show improvements with FSD V14.2.1. Longtime FSD tester Chuck Cook highlighted a clip from his upcoming first-impressions video, showcasing improved school zone behavior. “I think it read the signs better,” he observed, though in standard mode, it didn’t fully drop to 15 mph within the short timeframe. This nuance points to V14.2.1’s growing awareness of temporal rules, a step toward fewer false positives in dynamic environments.

FSD V14.2.1 also seems to excel in high-stress highway scenarios. Fellow FSD tester @BLKMDL3 posted a video of FSD V14.2.1 managing a multi-lane freeway closure due to a police chase-related accident. “Perfectly handles all lanes of the freeway merging into one,” the Tesla owner noted in his post on X.

FSD V14.2.1 was released on Thanksgiving, much to the pleasant surprise of Tesla owners. The update’s release notes are almost identical to the system’s previous iteration, save for one line item read, “Camera visibility can lead to increased attention monitoring sensitivity.”

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Tesla FSD Supervised ride-alongs in Europe begin in Italy, France, and Germany

The program allows the public to hop in as a non-driving observer to witness FSD navigate urban streets firsthand.

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Credit: Tesla

Tesla has kicked off passenger ride-alongs for Full Self-Driving (Supervised) in Italy, France and Germany. The program allows the public to hop in as a non-driving observer to witness FSD navigate urban streets firsthand. 

The program, detailed on Tesla’s event pages, arrives ahead of a potential early 2026 Dutch regulatory approval that could unlock a potential EU-wide rollout for FSD.

Hands-Off Demos

Tesla’s ride-along invites participants to “ride along in the passenger seat to experience how it handles real-world traffic & the most stressful parts of daily driving, making the roads safer for all,” as per the company’s announcement on X through its official Tesla Europe & Middle East account. 

Sign-ups via localized pages offer free slots through December, with Tesla teams piloting vehicles through city streets, roundabouts and highways.

“Be one of the first to experience Full Self-Driving (Supervised) from the passenger seat. Our team will take you along as a passenger and show you how Full Self-Driving (Supervised) works under real-world road conditions,” Tesla wrote. “Discover how it reacts to live traffic and masters the most stressful parts of driving to make the roads safer for you and others. Come join us to learn how we are moving closer to a fully autonomous future.”

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Building trust towards an FSD Unsupervised rollout

Tesla’s FSD (Supervised) ride-alongs could be an effective tool to build trust and get regular car buyers and commuters used to the idea of vehicles driving themselves. By seating riders shotgun, Tesla could provide participants with a front row seat to the bleeding edge of consumer-grade driverless systems.

FSD (Supervised) has already been rolled out to several countries, such as the United States, Canada, Australia, New Zealand, and partially in China. So far, FSD (Supervised) has been received positively by drivers, as it really makes driving tasks and long trips significantly easier and more pleasant.

FSD is a key safety feature as well, which became all too evident when a Tesla driving on FSD was hit by what seemed to be a meteorite in Australia. The vehicle moved safely despite the impact, though the same would likely not be true had the car been driven manually.

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Swedish union rep pissed that Tesla is working around a postal blockade they started

Tesla Sweden is now using dozens of private residences as a way to obtain license plates for its vehicles.

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Andrzej Otrębski, CC BY-SA 4.0 , via Wikimedia Commons

Two years into their postal blockade, Swedish unions are outraged that Tesla is still able to provide its customers’ vehicles with valid plates through various clever workarounds. 

Seko chairman Gabriella Lavecchia called it “embarrassing” that the world’s largest EV maker, owned by CEO Elon Musk, refuses to simply roll over and accept the unions’ demands.

Unions shocked Tesla won’t just roll over and surrender

The postal unions’ blockade began in November 2023 when Seko and IF Metall-linked unions stopped all mail to Tesla sites to force a collective agreement. License plates for Tesla vehicles instantly became the perfect pressure point, as noted in a Dagens Arbete report.

Tesla responded by implementing initiatives to work around the blockades. A recent investigation from Arbetet revealed that Tesla Sweden is now using dozens of private residences, including one employee’s parents’ house in Trångsund and a customer-relations staffer’s home in Vårby, as a way to obtain license plates for its vehicles.

Seko chairman Gabriella Lavecchia is not pleased that Tesla Sweden is working around the unions’ efforts yet again. “It is embarrassing that one of the world’s largest car companies, owned by one of the world’s richest people, has sunk this low,” she told the outlet. “Unfortunately, it is completely frivolous that such a large company conducts business in this way.”

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Two years on and plates are still being received

The Swedish Transport Agency has confirmed Tesla is still using several different workarounds to overcome the unions’ blockades.

As noted by DA, Tesla Sweden previously used different addresses to receive its license plates. At one point, the electric vehicle maker used addresses for car care shops. Tesla Sweden reportedly used this strategy in Östermalm in Stockholm, as well as in Norrköping and Gothenburg.

Another strategy that Tesla Sweden reportedly implemented involved replacement plates being ordered by private individuals when vehicles change hands from Tesla to car buyers. There have also been cases where the police have reportedly issued temporary plates to Tesla vehicles.

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