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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.
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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.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
