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Earlier quoted context omitted.
If it's any consolation, there are still tons of things humans are far better at than machines.
The only remaining are language-related. Natural languages are the next focal point of AI research.
The thing that was supposed to take at least 10 years happened. Only last month people were still saying that no way AlphaGo will beat the champion and that it will be crushed. Today everybody will have seen it coming and say that it was normal. Yet people will still tell that worrying about AI taking over is like worrying about overpopulation on Mars, and that this is a problem at least 50 years out.
Highly optimised single-function algorithms like this are impressive stuff and can lead to useful tools, but that's it. This gets us no closer to strong AI than a tic tac toe program. Until we have systems that can tackle a wide range of fundamentally different problems and independently adapt strategies for dealing with one class of problems to deal with other classes of problems, systems like Alphago will remain on…
Earlier quoted context omitted.
Highly optimised single-function algorithms like this are impressive stuff and can lead to useful tools, but that's it. This gets us no closer to strong AI than a tic tac toe program. Until we have systems that can tackle a wide range of fundamentally different problems and independently adapt strategies for dealing with one class of problems to deal with other classes of problems, systems like Alphago will remain on…
In case you're not aware, AlphaGo's key component is based on the same type of Deepmind system that learned to play dozens of Atari games, to superhuman levels, by watching the pixels, without any programmatic adaptation to the particular Atari game. At least the version of AlphaGo that played in October was far less specialized for Go than Deep Blue was for chess. Demis Hassabis says that next up after this is getti…
It's still an incredibly achievement - but it's important to be accurate.
Earlier quoted context omitted.
If it's any consolation, there are still tons of things humans are far better at than machines.
The only remaining are language-related. Natural languages are the next focal point of AI research.
[1] https://www.youtube.com/watch?v=gy5g33S0Gzo&ab_channel=RLLbe...
Earlier quoted context omitted.
Yeah according to Redmond, it seemed that AlphaGo made a few "mistakes" whereas Sedol made none. And yet AlphaGo came out substantially ahead. So I'm not sure what that means. Perhaps we need to see more in-depth analysis of the moves, but it seems that AlphaGo just out-calculated Sedol.
maybe the mistakes were unrecognized brilliant moves (tesujis).
I was at the 2003 match of Garry Kasparov vs Deep Junior -- the strongest chess player of all time vs what was at that point the strongest chess playing computer in history. Kasparov drew that match, but it was clear it was the last stand of homo sapiens in the man vs machine chess battle. Back then, people took solace in the game of Go. Many boldly and confidently predicted we wouldn't see a computer beat the Go wor…
But who made that machine?
I'd say a more precise evaluation would be that the ability to program a machine to assist in playing chess outdid the ability to play chess without such assistance.
The thing that was supposed to take at least 10 years happened. Only last month people were still saying that no way AlphaGo will beat the champion and that it will be crushed. Today everybody will have seen it coming and say that it was normal. Yet people will still tell that worrying about AI taking over is like worrying about overpopulation on Mars, and that this is a problem at least 50 years out.
Highly optimised single-function algorithms like this are impressive stuff and can lead to useful tools, but that's it. This gets us no closer to strong AI than a tic tac toe program. Until we have systems that can tackle a wide range of fundamentally different problems and independently adapt strategies for dealing with one class of problems to deal with other classes of problems, systems like Alphago will remain on…
People said for years that Go would never be beaten in our lifetime. They said this because Go has a massive search space. It can't be beaten by brute force search. It requires intelligence, the ability to learn and recognize patterns.
And it requires doing that at the level of a human. A brute force algorithm can beat humans by doing a stupid thing far faster than a human can. But a pattern recognition based system has to beat us by playing the same way we do. If humans can learn to recognize a specific board pattern, it also has to be able to learn that pattern. If humans can learn a certain strategy, it also has to be able to learn that strategy. All on it's own, through pattern recognition.
And this leads to a far more general algorithm. The same basic algorithm that can play Go, can also do machine vision, it can compose music, it can translate languages, or it could drive cars. Unlike the brute force method that only works one one specific task, the general method is, well, general. We are building artificial brains that are already learning to do complex tasks faster and better than humans. If that's not progress towards AGI, I don't know what is.
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So has AlphaGo raised its level so far just by continuing with the games against itself? Or did they just throw their entire server farm at it? (Or both, probably.)
I would bet a mix of both. What will be more interesting is if it ends at 5-0 if we will see AlphaGo vs. Darkforest (Facebook's engine) soon after.