When I explained the Gmail system to my family about ten years ago, the explanation that 'the body of the email is located in the cloud' did not get through.

So I changed the explanation to this.

(1) "Your email is in a computer in San Jose (Silicon Valley, California), not in this home computer."

(2) "This computer is just a copy of the contents inside the computer in the U.S."

(3) "So, I can see the same email on this computer, on a computer in Nagoya, on a computer in Kagoshima, and on my smartphone."

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In other words, if someone asks you, "What is the cloud?" you can answer, "It's a computer in a foreign country," without saying anything unnecessary.

The trick is not to "say" Tokyo Region, Osaka Region, virtualization, containers, etc.

My daughters now use the term "cloud" daily, but I am unsure if they understand it as a reality.

By verbalizing it, we inevitably feel like we know it.

But we need to think things through from time to time.

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Similar to this "cloud" is "AI.

It is inevitable to think of "AI" as a great thing that can do everything, but it is still necessary to think about it properly occasionally.

I used to write a series of articles on AI technology.

I also recently contributed a column on ChatGPT.

And what I found out as a result of this,

-- AI technology is perfected by listening to the teacher (human) and spending a tremendous amount of time (hundreds of millions to trillions of iterations) "studying hard."

In recent years, AI technology is no longer considered the effect of "good logic" or "smart algorithms."

On the contrary, they argue that only a 'sincere attitude toward instruction' and 'skinny-dipping' are the foundation of the most powerful AI technology.

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I have to admit that I don't enjoy being taught this kind of life lesson, however,

"To do something, I have to keep learning repeatedly."

I learned that from AI technology.