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Tesla Model Y will awaken Elon Musk’s ‘Alien Dreadnaught’ factory
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.
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.
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.
Elon Musk
SpaceX Starship Version 3 booster crumples in early testing
Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
SpaceX’s new Starship first-stage booster, Booster 18, suffered major damage early Friday during its first round of testing in Starbase, Texas, just one day after rolling out of the factory.
Based on videos of the incident, the lower section of the rocket booster appeared to crumple during a pressurization test. Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
Booster test failure
SpaceX began structural and propellant-system verification tests on Booster 18 Thursday night at the Massey’s Test Site, only a few miles from Starbase’s production facilities, as noted in an Ars Technica report. At 4:04 a.m. CT on Friday, a livestream from LabPadre Space captured the booster’s lower half experiencing a sudden destructive event around its liquid oxygen tank section. Post-incident images, shared on X by @StarshipGazer, showed notable deformation in the booster’s lower structure.
Neither SpaceX nor Elon Musk had commented as of Friday morning, but the vehicle’s condition suggests it is likely a complete loss. This is quite unfortunate, as Booster 18 is already part of the Starship V3 program, which includes design fixes and upgrades intended to improve reliability. While SpaceX maintains a rather rapid Starship production line in Starbase, Booster 18 was generally expected to validate the improvements implemented in the V3 program.
Tight deadlines
SpaceX needs Starship boosters and upper stages to begin demonstrating rapid reuse, tower catches, and early operational Starlink missions over the next two years. More critically, NASA’s Artemis program depends on an on-orbit refueling test in the second half of 2026, a requirement for the vehicle’s expected crewed lunar landing around 2028.
While SpaceX is known for diagnosing failures quickly and returning to testing at unmatched speed, losing the newest-generation booster at the very start of its campaign highlights the immense challenge involved in scaling Starship into a reliable, high-cadence launch system. SpaceX, however, is known for getting things done quickly, so it would not be a surprise if the company manages to figure out what happened to Booster 18 in the near future.
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Tesla FSD (Supervised) is about to go on “widespread” release
In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”
Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin.
The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.
FSD V14.2 improvements
FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.
A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.
Elon Musk’s predicted wide release
The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”
FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles.
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Tesla FSD V14.2 starts rolling out to initial batch of vehicles
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.
So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well.
Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots.
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.
Release Notes
2025.38.9.5
Currently Installed
FSD (Supervised) v14.2
Full Self-Driving (Supervised) v14.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
- Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
Upcoming Improvements:
- Overall smoothness and sentience
- Parking spot selection and parking quality
SpaceX Starship Version 3 booster crumples in early testing
Tesla FSD (Supervised) is about to go on “widespread” release
