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haha. I was half asleep then plus I don't have a degree in...

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    haha. I was half asleep then plus I don't have a degree in computer science. Also, BTW, I have shares in both axe and Tesla, I don't doubt just to troll.
    You might be right on the definition neural net but what I'm talking about is the 70,000 GPUs they use for training. It's not about speed (for the 10th time), it's more about the size of the problem. We can be fairly confident there might be some uses within the stationary compute space in Tesla. But that business is not for us. I also watched this year's AI day (that video is rather old) the other day, sadly no mention of quantum!

    We can't assume that the work done by one or two chips (there are two FSD chips in both cars) in the car is big data crunching that quantum computers are primed for. Plus because the car is electric their chips are designed specifically not to draw too much power, can we compete with their chips?

    I hear so many ppl saying 'theres so many uses' when there is only one proper use I've come across, encryption. We aren't replacing normal computers!

 
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