raytrace said:

Please provide me with an objective test that proves AI is (or will be) there, and I will take back my statement.

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Of course your program will become pretty good at the game it was designed for but it won't be able to play another game because it is simply not made to do that.

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In this paper, a roving eye neural network is evolved to solve this problem. The network has a small input field that can scan boards of any size. Experiments demonstrate that (1) The same roving eye architecture can play on different board sizes, and (2) experience gained by playing on a small board provides an advantage for further learning on a larger board.

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Conclusion:
The roving eye architecture is an appealing approach to Go because it is the same for any board size. It is also powerful because it can turn to face different directions, allowing it to process symmetrical configurations with the same connections. When compared with evolving from scratch, a 7x7 eye pre-evolved in a 5x5 board achieved significantly faster learning, and significantly higher final fitness. This result establishes that (1) The roving eye can indeed play on different board sizes, and (2) the roving eye aids incremental evolution on increasingly large boards. Thus, the roving eye is a potentially important component of learning systems that aim to perform well on larger boards even when learning directly on such large boards is prohibitively complex.

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