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Tesla’s ‘Catfish Effect’ is propelling China’s local EV makers forward

Credit: Tesla China/Weibo

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When Tesla was preparing to enter the electric vehicle segment with a wholly-owned factory in China, former Industry Minister Miao Wei stated that the American EV maker’s presence would result in a “Catfish Effect” on the country’s electric car industry. Just over a year since Gigafactory Shanghai started operations, it seems like Miao’s statements are shaping up to be accurate. 

The Catfish Effect suggests that the arrival of a strong competitor will encourage “weaker” players to innovate and better themselves. Tesla, being the world leader in EVs, seems to have played the catfish in China’s EV segment last year. The Silicon Valley-based electric car maker sold 114,000 made-in-China Model 3 vehicles during the first 11 months of 2020, as per data from the China Passenger Car Association (CPCA). 

(Credit: Tesla China/Weibo)

This month, Tesla dropped another strong player in the Chinese EV market in the form of the Model Y, an all-electric crossover that is more affordable than rivals from companies like Audi, Mercedes-Benz, and BMW. Tesla formally launched the Model Y in China with a starting price of RMB 339,900 ($52,550), 30% lower than its pre-launch price. This resulted in Tesla showrooms being swamped by prospective Model Y buyers. Competitors were appropriately unnerved, as per a report from The Nikkei Asian Review

China has stood as the world’s largest market for electric cars. This means that China’s premier EV makers such as BYD, SAIC, NIO, and Xpeng Motors are no joke. Local electric car makers can design and create compelling EVs, but last year, most–if not all–were eclipsed by the Model 3, whose technology was a cut above its domestic rivals. Its robust set of standard features like Autopilot also gave it an edge against competitors. 

Following the launch of the Model Y in China, Yu Liguo, the president of Arcfox, an EV unit of BAIC Motor, remarked that Tesla’s advantage in the country’s EV sector would likely not be matched by local manufacturers, at least not in the near future. This is especially true in the case of features like Autopilot, which place Tesla far ahead of competitors in the Chinese EV market and globally. Despite this, Yu was optimistic, noting that Chinese EV makers would catch up eventually. 

(Credit: Jay in Shanghai)

Pure EV companies from China are initiating programs that are aimed at expanding their business. NIO is ramping its battery-swapping network, and it recently launched a new used-car platform to make its vehicles more attainable to buyers. Xpeng Motors’ first European orders were also shipped from China to Norway. Legacy automakers such as SAIC, propelled by vehicles like the MG ZS EV, sold nearly 12,000 electric cars in Europe during the first nine months of 2020. 

Granted, Chinese-branded electric vehicles only account for about 10% of the global EV market, as per a report from UBS Securities. But thanks to the presence of Tesla, China’s electric vehicle makers may soon adopt more assertive strategies. With Gigafactory Shanghai ramping Model 3 and Model Y production, Tesla’s Catfish Effect may very well be underway in China. 

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

Check out a MIC Model Y delivery event video below.

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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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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. 

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Credit: Grok

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.

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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.

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