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2019-10-06 Even computers do "inefficient wonks" after all. [長年日記]

(Continuation from yesterday)

Return to the board.

One of the most efficient ways to acquire knowledge is to systematize knowledge and understand from a whole to parts. (This method is currently used in compulsory education, etc.).

However, this is not enough for something to use knowledge as a tool, and change the knowledge to actual activities. For example, engineering technology or business English conversation.

All you need is the time and number of trials.

Naturally, as the trial population increases, the number of successes will increase, of course, the number of failures will increase.

After all, the shortcut to success is not an "Efficient study method", but "inefficient wonks".

"Efficient study method" is one of the outputs of "inefficient wonks" after all.

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The world is full of books that say, "you can easily improve your grades" or "you can easily enter the University of Tokyo".

However, they are just "fiction" that is based on the probability value with a series of astronomical zeros, where a particular organization, human resources, and self-fitness are all perfectly aligned.

Those are stupid contents that ignore the diversity of the "real world".

I also can agree that there are methods of "you can easily improve your grades" or "you can easily enter the University of Tokyo" in "real world".

However, terrible number of trials, time, and correction (feedback) have been needed until the discovery of the method,

And the series of trial processes can be seen from the outside as "inefficient wonks"

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By the way, the above story is not "my belief".

This is a real fact observed from machine translation technology, reinforcement learning technology, and deep learning technology in recent years .

Even computers do "inefficient wonks" after all.

(To be continued)