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$Tesla (TSLA.US)$ Just chatted with several engineers from T...

Just chatted with a few Tesla engineers in LA about simulating data for training models, mentioning Nvidia's CES demo today. It actually lowered the barrier for small and medium-sized enterprises to enter the AI field, advancing humanity towards the world of AI quicker. It also further monopolized the hardware market for physical AI. Starting from its original business model, the moat has deepened another level.
Meanwhile, the former head of Nvidia's autonomous driving simulation department, @bgxc (feel free to look him up if interested), mentioned that simulation algorithms only serve real data.
Therefore, undoubtedly, Tesla will gain a premium valuation in physical AI. The market will also become more mature and active due to the participation of hardware manufacturers!
Let's explain the 4 stages of AI development:
1️⃣ Perception AI: speech recognition, deep learning.
2️⃣ Generative AI: generating text, images, or videos.
3️⃣ Agent AI: programming assistants, helping humans complete tasks.
4️⃣ Physical AI: autonomous driving cars, general-purpose robots.
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  • BB Brown : U drunk? Shitla going to crash back to 100 tonight

  • 72706716 : In the video, Nvidia notes that because Real-World's data is limited, synthetic data is focused on creating saftry autonomous vehicles. That's most of the thinking, because they can't gather Real World data. That means there's no data fleet in the real world like Tesla. That's the fundamental difference between Tesla and other companies, and that's where everything is decided.

  • SKYWalkers : you don't understand AI.
    there's no stages of development for AI, AI is a very broad spectrum of computer vision, AI recognition, etc, there are no stages.
    everything happens at the same time.
    even though ChatGPT introduced the laymen to AI, chatgpt, LLM, GAN is not all there is to AI, all other elements of AI are still developing, functioning at the same time.
    don't mislead when you don't understand AI.

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