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Tesla Model 3 impressively ‘swims’ in deep waters in China amid ongoing floods
China has been inundated with heavy torrential rains since June, causing numerous cities across the county to be flooded. The rains have been so heavy that even the Three Gorges Dam, the world’s largest hydropower plant, is being put to a grueling test. With the country facing its worst flooding since 1998, some cities could end up flooded with just a few hours of rain.
Such an incident happened at the end of July, with the city of Xian getting its streets submerged after just about an hour of rain. A clip from the recent flooding was recently posted online, and it included a good view of the city’s roads being completely flooded. Quite surprisingly, it also included a Tesla Model 3 bravely taking on the deep floodwaters in stride.
The video was brief, but it does suggest that the all-electric sedan was not having issues with the flood. The vehicle simply waded through until it reached a section of the road with shallower waters. Other vehicles such as motorbikes traveling in similar areas also looked almost like jet skis due to the depth of the flood.
Other posts have emerged from China depicting similar feats from Tesla’s most affordable sedan. One such video showed a white Model 3 that was practically swimming as it was halfway submerged, and sure enough, the vehicle did not seem to have issues navigating through the water. People in the background, some of whom seemed to be surprised at the vehicle, could be heard remarking that the car was a Tesla.
While the videos from China may be a bit stressful for avid EV enthusiasts, it should be noted that Tesla made some notable preparations for the locally-produced Model 3 that may have contributed to the vehicle’s performance in submerged streets. Back in November, sightings of Model 3 around the Gigafactory Shanghai complex were abounding, and it became evident that the vehicles were first production units made in the facility itself.
One of these sightings involved a blue Made-in-China Model 3 seemingly undergoing flood testing. The short video showed a Model 3 driving across a deliberately flooded section of the Gigafactory Shanghai complex. Tesla China did not provide further information about the video, but speculations from the local EV community suggested that the electric car maker was ensuring that its locally-made Model 3 would be resistant to floods.
Based on the recently shared videos from China, it appears that the Model 3 is indeed quite resilient when faced with floodwaters. This bodes well for Tesla’s ramp in China, as floods are quite common in the country and in nearby Southeast Asian regions, thanks to the multiple typhoons that hit the area every year. Amidst China’s push for electric cars, a flood-resistant, reasonably-priced vehicle from Tesla could very well attract a significant consumer base.
The current rainy season and flooding in China have so far affected 55 million people in 27 of the country’s 31 provinces. As of July 28, at least 158 people have been listed as dead or missing by the country’s Ministry of Emergency Management. Direct economic losses have been estimated at about 144 billion yuan (about $20.6 billion), which is 14% higher than the country’s five-year average, as per the Nikkei Asian Review. That being said, Pictet Wealth Management in Hong Kong still expects China’s growth forecast for 2020 to be around 1.8%, thanks to a potentially “strong rebound” in industrial activities.
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”
