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Tesla is gathering the pieces for an Alien Dreadnought 2.0 attempt at Fremont
Recent construction permits filed for the Fremont Factory suggest that Tesla is looking to improve the massive electric vehicle production facility’s automation even further. With the plant’s ongoing improvements, it almost seems like Tesla is about to attempt yet another crack at Elon Musk’s once-failed initiative: the “Alien Dreadnought” factory.
The Fremont factory has caught the attention of the nation in the past weeks, as Elon Musk and Tesla locked horns with officials from Alameda County who insisted that the facility remain shut even after California moved to its Stage 2 response for the ongoing pandemic. After a lawsuit, an act of bold defiance from the CEO, some strong words from a CA Assemblywoman against Musk, and support coming from both sides of the political spectrum, the plant was finally allowed to formally return to its normal operations.
But even during the shutdown, Tesla has been exhibiting signs that it intends to improve the Fremont factory. Permits for paint shop improvements were filed, for example, and similar documents were submitted for upgrades in the facility’s vehicle production lines. These lines were speculated to be allotted for Model Y production, which would allow the company to produce the all-electric crossover en masse without any issues.
Just recently, Tesla also filed building permit applications for the addition of “MINO robot riser anchorage structural package” and “MINO Equipment and fixture anchorage” for the Fremont Factory. These may seem a bit understated, though a look at MINO’s expertise provides a notable hint at what Tesla may be planning for its main EV production facility in the United States.
MINO Automation is a firm that provides fully integrated automation production systems that are tailor-fit for its clients. As per the company’s website, MINO specializes in Body in White (BIW) manufacturing systems that concentrate on body framing, laser application, sealing, hemming, resistance welding, and automated stranger systems. MINO works with FANUC Robotics as well, which are also being utilized by Tesla.
A look at Tesla’s recent building permit applications for the Fremont factory shows that the electric car maker is set on improving its plant, and it is also doing what it can to raise its automated processes. Just as Elon Musk intended during the Model 3’s initial delivery event, more automation would likely result in a smooth production ramp. This, of course, is especially important with the Model Y, Tesla’s highest-volume EV to date.
Those who have followed Tesla over the years would know that the company had already attempted an extremely-automated vehicle production approach in the past. Dubbed as Elon Musk’s “Alien Dreadnought” initiative, the program, which was intended for the Model 3, was supposed to be Tesla’s big breakthrough for vehicle production.
Alas, history would show that this was not meant to be, as issues with the over-automated line eventually forced Tesla to adopt a more human-centered approach to Model 3 manufacturing. Even Elon Musk eventually stated that humans are ultimately “underrated.”
But Tesla today is not the same as the company as it was during the early days of the Model 3’s production ramp. Today, Tesla is an experienced mass-manufacturer of electric cars, having produced thousands upon thousands of Model 3 sedans last year. And the company is nowhere near done. Over in Shanghai, Tesla China is attempting to ramp its local Model 3 production at a pace that far exceeds the company’s operations in Fremont.
With this in mind, there seems to be no better time to attempt yet another crack at a hyper-automated factory than today. The Model Y is the perfect vehicle for such an initiative, considering that the crossover is a high-volume car that’s designed to be built in a simple and efficient manner. As per the findings of automotive teardown specialist Sandy Munro, the Model Y seems to be designed for automation, from its rigid wiring systems that are friendly to robots, to its giant casts that eliminate unnecessary parts.
Time will tell if Elon Musk and Tesla are going to attempt another Alien Dreadnought for the Fremont factory. But either way, the remaining months of the year will likely see the California-based electric car production facility manufacturing vehicles at a volume that has never been witnessed before.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 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 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!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
