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Tesla China gives sneak peek at Giga Shanghai operations with new video series

(Credit: Tesla Greater China)

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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. 

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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.

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“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. 

(Credit: Tesla Greater China)

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. 

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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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The Teslarati team would appreciate hearing from you. If you have any tips, reach out to me at maria@teslarati.com or via Twitter @Writer_01001101.

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Tesla Full Self-Driving is getting a major parking upgrade, Elon Musk says

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Credit: Tesla

Tesla Full Self-Driving is going to be getting a major parking upgrade. That’s according to CEO Elon Musk, who detailed a crafty new feature that will improve parking preferences, removing a layer of human input.

Musk said that upcoming releases of Full Self-Driving will “remember your parking preferences.” It will go to the location you prefer, based on where you’ve parked in the past, instead of taking the first spot available, which is where the suite is currently.

The CEO went on to explain that destination parking is “by far” the biggest reason for intervention during FSD operation. We’d have to believe this is true; many takeovers in my Model Y, which runs the latest version of FSD as it is in the Early Access Program, are due to parking because it chooses a spot I do not want to be in.

Many times, as soon as I enter a parking lot, I take over and park manually. I prefer to park away from the entrance of wherever I am, away from cars. Too many lessons learned over the years from people with free-swinging doors.

We’d imagine these new updates will also solve things like parking orientation. Let’s say when you arrive at work, you always park in the third spot in the third row, and you prefer to back in. It seems as if Musk is implying that your car will now do this, learning from takeovers and aiming to eliminate the need to manually park whenever possible.

This is a major upgrade because parking is a major shortcoming of FSD currently. We’ve requested things like manual input of parking preferences, choosing to park far away, first available, or away from cars, for example.

However, some have used the option of dropping a pin at the location you’d like to park at your destination. This has worked some of the time, but FSD will still choose to park in whatever it sees first.

Musk did not give a timetable for when the improvements would be released, but it is likely to come soon. Tesla has been releasing a new FSD version every few weeks, so we may not have to wait long to test it.

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Tesla Full Self-Driving and App Connectivity save life in medical emergency

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Credit: Tesla

In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.

John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.

FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.

As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.

The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.

Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.

Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.

This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.

The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.

For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.

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Elon Musk

Elon Musk predicts Grok will start to challenge Hollywood by the end of 2026

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”

The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.

Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.

The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.

There are a handful of things that truly outline Grok’s capabilities:

  • Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
  • Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
  • Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer

Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.

There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.

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