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Tesla China gives sneak peek at Giga Shanghai operations with new video series
Tesla China announced that it would release a series of videos providing a sneak peek into Giga Shanghai’s operations. The first video in the series shares information about Tesla China’s cost management strategy.
Giga Shanghai’s Layout
The first factor in Tesla China’s cost control strategy is Giga Shanghai’s layout. The stamping, welding, painting, and assembly workshops are connected to minimize “the logistics path” between each process, improving efficiency. Giga Shanghai also utilizes the longitudinal space in all its workshops through elevators and machine transportation tracks. The placement of Giga Shanghai’s docks is also a way of running the factory efficiently, which minimizes time and costs.
Elon Musk once stated that Tesla’s gigafactories would become products themselves. Tesla China seems to have taken that to heart with Giga Shanghai.
“It can be said that the innovation of the factory itself builds [an] enforceable foundation for the innovation of the production and manufacturing. Without this foundation, cost control would be like a tree without roots or water without a source,” noted Tesla China.
Take a tour inside Tesla Gigafactory Shanghai and follow us to explore the unique charm of the "Tesla Giga Principle" of cost control.
A series of cool videos will be released later. Don't miss out👀 Let’s #GoGiga 🔥 @elonmusk
🔗https://t.co/7jdNmCipL8— Tesla Asia (@Tesla_Asia) December 16, 2021
Tesla China R&D Center
Tesla’s local R&D Center in Shanghai was completed earlier this year. Tesla China states that the R&D Center is another pillar in its cost management strategy. The R&D Center handles essential parts of Tesla’s manufacturing process from design to testing and quality control.
Tesla China believes the R&D Center provides a complete closed-loop product development process. It helps Giga Shanghai vehicles evolve over time by delivering precise cost management blueprints that improve the affordability of Tesla products, from its all-electric vehicles to its battery storage systems.
Tesla Giga Shanghai Production
Tesla Giga Shanghai’s production process is yet another factor contributing to lowered costs. The process includes independent parts production. An excellent example of independent parts production would be the Tesla Model 3 and Model Y’s single-cast rear bottom plate.
“Take the Model 3 as an example. It needs roughly more than 70 punch-welded parts for the rear bottom plate. Most OEMs usually outsource those parts production, and they still have to set up a welding line,” said one Tesla Chain Casting Process Engineer.
“So, the whole production cycle is quite long. After we realized the one-piece casting, we only need the aluminum ingots from a supplier to manufacture it ourselves, including melting, die-casting, post-treatment, and machining. Within a very short period of time, the raw materials will be molded into a complete rear bottom plate,” he said.
The management of the docks contributes to the efficiency of production as well. The factory handles nearly 2,000 containers a day. Each customer order affects the sequence the factory transports the car parts through the assembly line. Suppliers also follow customer orders by sending parts as each order is made.
Through this level of organization with suppliers and in Giga Shanghai, Tesla China ensures that little to no parts need to be kept in a warehouse. Giga Shanghai aims to have zero inventory.
The supply chain significantly affects production, as can be seen in the way the docks are managed. Localizing Giga Shanghai’s supply chain was crucial in Tesla China’s cost management strategy. The local supply chain helps reduce production costs and raise the standards for parts.
Tesla China’s cost control video provides a tiny glimpse into all the work and forethought that went into Giga Shanghai from layout to production. It also explains why Giga Shanghai has become cost-efficient and Tesla’s primary export hub.
Giga Shanghai has helped increase Tesla’s production and delivery numbers at a monumental level. In November, Tesla China’s Global VP Grace Tao stated that Giga Shanghai aims to produce 500,000 vehicles by the end of 2021.
Watch Tesla China’s Giga Shanghai feature in the video below.
https://youtu.be/esa7iC0MOJ8
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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.
News
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.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
