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yi_xuan

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The key is understanding the purpose of the rules, its pros and cons, and recognizing the impact of your behavior, both its benefits and harm, considering the feelings of others at the same time. That's essential and most challenging part - the part that requires wisdom.

Don't think so.

If articles are more efficient, then it means there are plenty of nonsense in books. I don't think good books are filled with a lot of nonsense, if they are, then they are not good.

However, it's a fact that there are a lot of books which are collections of many trivial topics, collections of unrelated articles.

From my personal experience, it's quite useful but not as much as a lot of people thought it would be. The ability solving 'simple' questions is great. I used it more as a smarter google.

Tracing Python 3 years ago

Pdb also employs this approach for debug. I had wondered about pdb's implementation, when I saw it, I felt a little surprised.

This is pretty like the quote from Thomas Huxley: "Try to learn something about everything and everything about something".

But I think people should choose topic carefully it should be fundamental, maybe it's soon unfortunately gone if you choose a trendy and short-lived tech.

I experienced similar things, but not at work, but in life, about trivial things. I often told myself I would do it sometime after, but never. And then, I point a certain specific time to do it, I almost always do it. So I think if you set a exact time point, the probability will get higher.

This is a matter of degree, short video sets the bar lower and encourages the behavior. After all, the reacting videos are only small part of Youtube the whole platform, but short videos are always like that kind of nonsense.

The problems are more than how to express.

You have to read code and debug it that is inevitable, you can't say that there will not be any bugs if you use voice instead of writing.

"If you're thinking without writing, you only think you are thinking." -Leslie Lamport

Even though now speech recognition rate is really high, but I wonder how many authors use speech to write articles. The comparison may make sense. And I think there's few.