Reading Walter Isaacson's The Innovators, the

Reading Walter Isaacson's The Innovators, the emergence and development directions of computers and artificial intelligence that we use now have already been thought of and determined by outstanding visionaries nearly 70-80 years ago.

For example, the concept that artificial intelligence develops and becomes smarter through learning was already talked about by Alan Turing in 1943, that is, 81 years ago.  

Of course, you can find the record of the person who said that at the time and talk about the current situation, but you can think of it as insignificant as the saying, "There is nothing new under heaven."

However, scientific development and innovation are to continue to repeat the direction of such development, to learn and deliver, to spread in such a way, and to develop experimentally convincing physical evidence.  

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If you look at the text, there is a phrase like this. -----------------------
When Turing returned to Bletchley Park in April 1943, he became close to his colleague Donald Mitch, and the two spent many evenings playing chess at a nearby pub. Discussing the possibility of creating a chess-playing computer, Turing did not recklessly consider using computational power to calculate every possible number.
When Turing returned to Bletchley Park in April 1943, he became friends with a colleague named Donald Michie, and they spent many evenings playing chess in a nearby pub. As they discussed the possibility of creating a chess-playing computer, Turing approached the problem not by thinking of ways to use brute processing power to calculate every possible move;
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Instead, he noted whether it would be possible for machines to learn chess through repetitive practice. In other words, he thought machines would be able to try new strategies and improve their own through wins and losses each time.
instead he focused on the possibility that a machine might learn how to play chess by repeated practice. In other words, it might be able to try new gambits and refine its strategy with every new win or loss.
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If this approach is successful, it represents a fundamental leap that will surprise Ada Lovelace. Beyond following only certain human-provided commands, machines will be able to learn from experience and improve their own commands.
This approach, if successful, would represent a fundamental leap that would have dazzled Ada Lovelace: machines would be able to do more than merely follow the specific instructions given them by humans; they could learn from experience and refine their own instructions.