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Tesla Gigafactory 3 is what happens when Elon Musk’s vision is taken seriously
To say that the buildout of Tesla’s Gigafactory 3 in China is fast is a gross understatement. Within a few months, Tesla’s 864,885-square meter lot in Shanghai’s Lingang Industrial Area has been transformed from a large, muddy field into a site where a massive electric car factory is taking shape. Every update of Gigafactory 3 shows the facility making visible progress. This week alone, footage from the site revealed that workers have practically completed the roof of Tesla’s general assembly building, and walls are already being set built.
Back in March, Shanghai official Chen Mingbo stated that the initial buildout of the factory should be completed by May. Considering the speed of the facility’s construction, this insane timeframe seems to be on track. If this target is accomplished, Tesla could start Model 3 trial production as early as September. That’s significantly ahead of Elon Musk’s own estimates, which pointed to initial production starting near the end of 2019. Reports from China also indicate that Gigafactory 3 could set a record for fastest factory buildout in the country.
The original timeline for Gigafactory 3 was actually far more conservative, with Tesla noting that it expected vehicle manufacturing to start roughly two years after construction begins. The timeframe, which was classic Elon Musk in the way that it is optimistic and ambitious, faced relentless skepticism in the United States. Consumer Edge Research senior auto analyst James Albertine, in a segment of Bloomberg Markets, flat-out stated that Tesla’s targets for Gigafactory 3’s construction were simply “not feasible.”
The reaction to Gigafactory 3’s initial timetable is quite reflective of the amount of skepticism and criticism thrown at Tesla and Elon Musk on a rather consistent basis. In the United States, Musk pretty much faces opposition at every turn. It is not uncommon to see reports about Tesla having a negative slant. People betting on Tesla’s failure such as short-sellers consistently accuse Musk of being a fraud as well, while mocking him on social media platforms such as Twitter for his alleged shortcomings. One particularly passionate short-seller actually received a restraining order after allegedly trespassing, harassing, and causing harm to Tesla employees.
With the drama surrounding Tesla, it is no wonder that Elon Musk wanted to take the company private last year. When Musk pitched the idea to investors, he argued that it would be a lot easier for Tesla to pursue its goals if it could operate without the short-term pressures of Wall St and the constant barrage of noise from critics that stand to receive financial gain if the electric car maker were to fall. The take-private attempt ultimately fell through after Elon Musk backed out of a ~$30 billion deal from investors that included Volkswagen AG. In the Q1 2019 earnings call, the CEO noted that a non-public Tesla will not be happening anytime soon. “Unfortunately, that ship had sailed,” Musk said.
It could be said that the nearly unbelievable pace of Gigafactory 3’s construction is what happens when Elon Musk’s ambitious vision is embraced without noise or unnecessary drama. There were no controversies among China’s workforce when Elon Musk noted that he expects electric car production to begin by the end of the year. Instead, the company’s construction partner took the CEO’s ambitious timeframe seriously and did what was necessary to build Gigafactory 3 as quickly as possible, including adopting 24/7 work. Going a step further, the country even pursued a target completion date that exceeds Elon Musk’s already ambitious timeframe. Today, Model 3 trial production is expected to start as early as September.
If there is a lesson that can be learned from Gigafactory 3, it is that visionaries such as Elon Musk could accomplish great things if their targets are supported and taken seriously. This is something that China seems to be all too willing to give Elon Musk, as could be seen when he met with Chinese Premier Li Keqiang in Beijing last January. During his meeting with Li, Musk acted like his usual self, throwing out grand ideas about Gigafactory 3 and mentioning his vision of creating a facility that acts almost like a “living being.” Li proved quite open to Musk’s ideas, even offering the CEO a ‘Chinese Green Card’ so he could openly pursue his plans in the country.
Demonstrating this point, here’s the Gigafactory 3 site in early March.
And here’s a flyby of Gigafactory 3 on May 7, 2019, roughly two months later.
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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.
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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
