Question: In the learning process of artificial intelligence, the mechanism of the black box is completely preserved in it. If before a person created computers, he clearly knew it was a microcircuit, an algorithm; there is a cause and effect, and everything goes along the chain and leads to some result. A person understood the whole scheme.

When training artificial intelligence, the structure of neural networks is modeled. At the first level, a huge amount of information is loaded into it—trillions of data. After that something happens in it, like in a black box. Do neural networks themselves line up inside the black box?

Answer: Yes, this is the point at which we do not own data and information.

Comment: This information is located precisely inside the black box, and a person does not know what is happening there both in relation to himself and in relation to his creation. He just gets some result that statistically satisfies him more.

My Response: In general, a lot of questions arise here. How do we choose the result? Do we choose intuitively or because it is inherent in us, that such a result is closer to us and we agree to live with it, but with another one—no way. That is, there is a big problem here in the person himself, not in the machine, not in what it chooses, but in the person who chooses.

Therefore, many questions still remain open. But I think that in the coming years, we will begin to understand this more. I do not know when we can solve this, but we will be able to understand.
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From KabTV’s “Kabbalah Express” 7/31/23

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