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Tesla prepares for Model Y pilot line in China with massive hiring ramp
Tesla is preparing for the production of the Model Y in China at its Giga Shanghai facility with a massive hiring ramp of nearly 900 manufacturing jobs.
Tesla is preparing for the first production push of the Model Y crossover in the Chinese market and expects to begin production at the beginning of 2021. Before the manufacturing efforts can continue, the company must hire a sizeable team that will be able to handle the large scale production of the vehicle.
Tesla owner and enthusiast @Ray4Tesla on Twitter shared the job postings, which detail the position names and the number of workers the company plans to hire for the project.
JUST IN: @Teslacn is on a massive hiring spree for production operators for all the departments at GF3. For the following 4 depts, the hiring indicates specific # of spots available:
Motor shop: 180
GA: 370
Body: 140
Logistics: 200Hiring for Phase 2? Can’t wait to know more. pic.twitter.com/OGfH2zXbGC
— Ray (@ray4tesla) August 27, 2020
Giga Shanghai is currently under expansion to make room for Model Y production. Phase 2 of the facility will build the electric crossover, and Tesla is also using a new manufacturing process for the vehicle through a massive casting machine.
Tesla is not only hiring for the casting workshop but also in eight other areas. The largest hiring pushes will take place in the Motor Workshop with 180 open positions, the Assembly Workshop with 370 jobs, and the Body Shop with 140 positions.
Each of these portions of the Giga Shanghai Phase 2 facility are geared toward hiring production operators who will be responsible for putting together the Model Y on the production line. These areas require the highest number of workers to ensure the production of the vehicle is efficient and manageable.
Among the other positions available for the Model Y line are in the stamping, paint, logistics, quality, and supercharging shops, all of which will contribute an “all hands on deck” approach to the quickly arriving date of production of the crossover.
The effort of hiring more workers at Giga Shanghai follows a company-wide expansion of the team in China altogether. Not only is Tesla looking to add more team members at its manufacturing facility, but the company has also posted several job offerings throughout various areas of China that are located at service centers and showrooms.
The wave of new hires is in preparation for the increased demand that Tesla has experienced in China since beginning deliveries of the Model 3 in January 2020. The mass-market sedan has quickly become the most popular electric car in China, overtaking the BYD Qin Pro.
The Model 3 shares 13% of the total market share of EVs sold in China in 2020, which is over tw0-and-a-half times larger than the Qin Pro EV, which only has 5%, the EV Sales Blog reported.
Tesla is anticipating on the Model Y being the company’s most popular vehicle yet because of its body style and increased cargo space. The company focused on improving the manufacturing of the car, which started with improving the chassis and eliminating so many pieces from the car’s frame. The casting machine will create a one-piece chassis that will increase manufacturing efficiency.
Pair the manufacturing developments with a larger team at Giga Shanghai, and Tesla could begin building the Model Y could enter production sooner than expected.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, 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 also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
