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Comment by zuckmitnick | Hacker News Reader

AI is not an explicit subject like math and physics, which has solid principles. It's just about searching for a way of providing the machines an ability to "think", whatever the way you choose.

Different people understand the word "think" differently. Eg, for most people, AI is about algorithms, while for me, it is about recreating a human brain.

So, an overview is too complicated and multifarious, at least for me.

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I hear you. Perhaps not an overview then, but an example of a solved or unsolved problem?

Well, most AI techs that exists right now are built upon rules. A very early example may be the chess machine "deep blue", who defeated the world champion Kasparov. A recent one could be Google's virtual brain, who "understood" the concept "cat" by analysing 10 million random frames from YouTube. Another example may be the one S4M mentioned, I'm not familiar with that.

While Google's virtual brain "understood" something, it still doesn't has the ability of analysing. This is an example of unsolved problems.

What exactly do you mean by the ability to 'analyse'. Could you expand on that a little?

This means something like 'reasoning'.

Eg, you ask the virtual brain 'why is the sky blue?' 'why is the sky sometimes grey?', and it may not tell you why.

Google's virtual brain can 'recognize' things from the images, but it cannot handle the logic problems or something like that.

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