tsla, That’s Why We Should Pay Attention To Tesla’s FSD Version 12 Commercialization Momentum.That’s Why We Should Pay Attention To Tesla’s FSD Version 12 Commercialization Momentum.

Tesla And Rivian: Which EV Stock Offers More Upward Potential?
11/27/2023 10:58am. (Benzinga Newswire)

In the battle for electric vehicles (EVs), Rivian Automotive Inc (NASDAQ: RIVN) is expected to find it difficult to compete with Tesla Inc (NASDAQ:TSLA) in terms of public perception.

RJ Scaringey Standing Behind Rivian But It’ll Be Hard To Find Anyone Who Doesn’t Know Tesla CEO Elon Musk.

However, investors tend to focus on value, leaving behind flashes as they put their funds in. So let’s take a quick comparison between Tesla and Rivian to see which stocks offer more opportunities to return per market analyst.

As of the start of the year, Tesla shares were up 117.81% and Rivian was down 5.25%.

Tesla shares were spurred by news of Cybertruck production and successive car deliveries, which came despite macroeconomic headwinds. RIVN shares, on the other hand, were silenced by fundraising efforts and production that fell short of estimates.

Thus, $1,000 invested in Tesla stock at the beginning of the year would have doubled the money to about $2,178 now, and an equal amount invested in Rivian stock would have resulted in a loss of about $52.50.

In terms of value based on current prices, Wall Street analysts believe Tesla stock may have already exceeded its value. Thus, the current price of Tesla stock is around $233.99, while analysts see a potential 12.23% drop on the stock.[Tesla FSD 12 version is about to be commercialized: On-Device AI wave]

According to the media on November 24, the 12th version of FSD began to be distributed to Tesla employees.

This time, the possibility of commercializing the 12th version of FSD is increasing at the end of the year or the beginning of the year.

With Apple and Samsung announcing that they will apply AI technology to smartphones, On-Device AI is emerging as a new investment theme. When Tesla’s FSD 12 version is commercialized, it is expected to receive more attention than smartphones.

On-Device AI is a technology that processes data from the device itself and performs AI algorithms without the cloud (Internet connection).
In the case of autonomous driving, relying on the cloud can be seen as the pinnacle technology of On-Device AI because it can be fatal to safety when the Internet is disconnected. 

In addition, autonomous driving technology can be extended to robots, which is expected to accelerate the enlightenment of the humanoid robot era.

That’s Why We Should Pay Attention To Tesla’s FSD Version 12 Commercialization Momentum.

For more information, please refer to the 8 Tesla Classes published on 23/11/06.

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■ ■ FSD 12버전, End-to-End Network

• From the method of adjusting the driving routes that can occur sequentially in an individual neural network according to the recognized driving environment, to the process of learning, adjusting, and converting as a whole group. Simply put, when a large number of images are input, AI learns by itself, generates and judges algorithms

■ FSD Commercialization Effect

1) Improved profitability: FSD’s gross profit margin is around 78%, four times that of electric vehicle production and sales (20%).

2) Deferred Sales Can Be Recognized As Revenue At One Time: FSD-Related Deferred Revenue Estimated $1.47 Billion As of the End of 3Q23. If this is recognized as sales and profits, the quarterly operating margin can be improved by about 4%.

3) Expect sales growth: As the technology gap widens again with competitors, it can be used as a marketing appeal. Possibility of overcoming model aging and increasing sales.

4)Licensing: The first company is believed to be Ford. Meanwhile, GM’s Crusie suspended operations in late November due to a series of traffic accidents. Google’s Waymo and Hyundai Motor Group are among the major companies testing self-driving technology in North America.

5) Robot age enlightenment: FSD is applied to humanoid robots. Tesla robot Value Chain is already built in China.

(Publication data on 23/11/27/2023)