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🏆 Elon Musk to get the last laugh as ultra-ambitious Tesla Model Y prediction comes true [being the #1 selling car in the world]

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Tesla Model Y emerged top-selling car in Europe in Q1 2023​


Tesla's Market Share In US/Canada Almost Reached 4% In Q1 2023​



blah.. the Chinese tech in e cars is better
 
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If Tesla gets FSD working it will be game over. Tesla will corner the market.


and you think Chinese won't respond?....economies of scale and fiscal muscle the Chinese have over Tesla (assuming tech level is the same)
 
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and you think Chinese won't respond?....economies of scale and fiscal muscle the Chinese have over Tesla (assuming tech level is the same)

Tesla has 500 million miles of self driving video data.

It's using it to train FSD like DeepMind did with its AlphaGo AI.
 
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and you think Chinese won't respond?....economies of scale and fiscal muscle the Chinese have over Tesla (assuming tech level is the same)

Certain people will quoting driving data without actually showing what advantage it had. Here's 2 points, they don't make use of advanced sensors like the Chinese OEM's. Chinese are high on sensors, advanced chips, Lidars etc., You find the difference when Huawei with just 1year of operation and just a handful of cars is able to achieve automation which is amazing (many videos have been posted already here). Things like Robosense Lidar is the most popular in China now. Xpeng has always been great in this aspect as well.

And more importantly, Tesla FSD after cost reduction is still $12,000. Here you have Chinese companies coming up with solutions for a fraction of the price. Tesla has to convince it is better, and not just better way better to compete at such prices.

 
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Certain people will quoting driving data without actually showing what advantage it had. Here's 2 points, they don't make use of advanced sensors like the Chinese OEM's. Chinese are high on sensors, advanced chips, Lidars etc., You find the difference when Huawei with just 1year of operation and just a handful of cars is able to achieve automation which is amazing (many videos have been posted already here). Things like Robosense Lidar is the most popular in China now. Xpeng has always been great in this aspect as well.

And more importantly, Tesla FSD after cost reduction is still $12,000. Here you have Chinese companies coming up with solutions for a fraction of the price. Tesla has to convince it is better, and not just better way better to compete at such prices.


be that as it may.. Tesla still cant match the organisation and fiscal muscle of Chinese.. remember they are companies.. not one man.

further Chinese are explaining fast into china and Asia... there were most of the future growth will be
 
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be that as it may.. Tesla still cant match the organisation and fiscal muscle of Chinese.. remember they are companies.. not one man.

further Chinese are explaining fast into china and Asia... there were most of the future growth will be

Yes, I'm sure China will do very well in developing countries (I've already stated that a few pages back) where the typical person can't afford a car in the Tesla price range.
 
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Certain people will quoting driving data without actually showing what advantage it had. Here's 2 points, they don't make use of advanced sensors like the Chinese OEM's. Chinese are high on sensors, advanced chips, Lidars etc., You find the difference when Huawei with just 1year of operation and just a handful of cars is able to achieve automation which is amazing (many videos have been posted already here). Things like Robosense Lidar is the most popular in China now. Xpeng has always been great in this aspect as well.

And more importantly, Tesla FSD after cost reduction is still $12,000. Here you have Chinese companies coming up with solutions for a fraction of the price. Tesla has to convince it is better, and not just better way better to compete at such prices.


Even Huawei (Mr 5G themselves) has given up on the strategy of on-the-fly fast downloading of high resolution LIDAR pre-maps using an extensive 5G network implementation. A strategy Chinese members only a few years ago said was the only way of successfully implementing full self driving...and something Elon Musk basically said was a stupid and expensive tactic.

Huawei scraps expensive precision maps in self-driving cars​

Chinese tech companies seek alternative navigation systems

GUANGZHOU -- Huawei and other Chinese self-driving car companies are developing alternative technologies to high-definitions maps as the precision required for autonomous vehicles makes the mapping process prohibitively expensive.

"High-definition maps are very expensive," said Huawei senior executive Yu Chengdong at Auto Shanghai show on April 16. "We have been collecting data in Shanghai for one or two years, but we still have not been able to cover all 9,000 kilometers of the city's roads."

HD maps for autonomous driving require technology more advanced than those for standard navigation systems. Maps accurate to about 10 meters are sufficient for navigation systems, but accuracy to about 20 centimeters, and in some cases as low as 1 cm, is necessary for self-driving cars, according to a Beijing research company.

The survey cost for a map with 10-cm accuracy is 10 yuan ($1.44) per kilometer, but for accuracy to 1 cm costs up to 1,000 yuan, according to a 2021 white paper by industry group China Industry Innovation Alliance for Intelligent and Connected Vehicles.

Huawei has revamped its automated driving system to eliminate the need for HD maps. Details of the technology have not been disclosed, but it uses a combination of road topology inference and car navigation maps, according to Yu.

The company plans to have self-driving with the new technology available in 45 Chinese cities by the end of the year. It will first be used in the Aito Wenjie M5, an electric vehicle from Chinese automaker Seres Automobile, with other models to follow.

EV startup Xpeng Motors plans to gradually shift to its own new self-driving system, XNGP, which analyzes data collected by an onboard camera to create a 3D map for navigation in real time.
 
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