There’s a saying in Texas that everything is bigger. New details about Tesla’s manufacturing plant just outside of Austin, known as Giga Texas, reveal that everything really is bigger in the Lone Star State, and Tesla is on its way to having the largest automotive manufacturing facility in the United States.
CEO Elon Musk detailed yesterday that the upcoming manufacturing plant just minutes outside of Austin will be “almost a mile long when complete,” making it so large that you likely have to see it to believe it. The automaker is nearing initial production at the plant, which is scheduled for later this year. While the world’s leading electric automaker might not produce a massive volume of vehicles at Giga Texas this year, you can bet that it will be one of Tesla’s biggest advantages in automotive manufacturing, especially in the United States, where demand for the company’s vehicles continues to grow.
I was at Giga Texas yesterday. Team is making excellent progress. Building will be almost a mile long when complete.
— Elon Musk (@elonmusk) July 25, 2021
On the list of the largest factories in the United States provided by RList, the massive 2.612 million square foot facility that Kia operates in West Point, Georgia, sits on more than 2,200 acres of land and had a hefty price tag of $1 billion. Kia has operated this plant since 2009, and it has remained the largest manufacturing factory in the United States since that time.
However, Giga Texas just may have the size to displace the massive Kia plant, putting it into second place if Musk’s calculations are true. After purchasing an additional 381 acres of land adjacent to the already 2,100 acres Tesla owned, the company is already planning to set its most advanced facility on the largest piece of land that a factory sits on in the country. 2,481 acres will outfit the estimated 1.7 million square feet that the main structure will sit on. The second facility will be an additional 900,000 square feet, with the final building tacking on another 1 million square feet, swamping the Kia facility with an estimated 3.6 million square feet of manufacturing floor space for Tesla to roam around on, a million square feet larger than the Georgia plant.
Dawn on Monday at GigaTexas! ?
Do you think we’ll get more details on Giga Texas & Berlin, Cybertruck, Model Y and Semi later today at the 2nd quarter results meeting?
Q2 2021 Update: https://t.co/AzftlaLG1N
? @JoeTegtmeyer pic.twitter.com/i3z6embrFZ— Austin Tesla Club (@AustinTeslaClub) July 26, 2021
To put this into perspective, the Tesla Fremont factory is only 510,000 square feet — and growing. However, Tesla’s flagship facility in the Northern California landscape has been a challenge for the automaker as production efforts increase and demand follows suit. The company has opted for temporary (and now permanent) spring structures to expand manufacturing space.
Musk added that Giga Texas is roughly seven stories tall, with every floor being “double in size.” Additionally, he expects the facility to grow by about 500 feet over time. He did not detail how he expects the facility to continue growing, but it could have something to do with the highly-speculated Project Bobcat that was listed in the Texas State public filings just a few months ago.
When Giga Texas begins production later this year, it will be responsible for Model Y, Cybertruck, Model 3, and Semi production for the Eastern half of North America.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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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.