[stephanheijl]

> I think it's unlikely that the human mind tackles Go in the same way.

This is very certainly true, which is what makes AlphaGo interesting to watch and study. The human mind, even one that has trained on Go for years on end, will still work with abstractions and ideas that do not relate to the game. AlphaGo and other computers lack this attribute, as any and all abstractions they may have learned relate entirely to the game.

Any ideas about the "human perception" of Go they may have gleaned from games that are included in the initial training dataset, I suspect have long been supplanted by novel notions gathered during the phase where the Neural Nets played against themselves. These phases are documented in the AlphaGo blog from Deepmind[1].

I suspect that we may reach "human level intelligence", but that this intelligence will not arise in the same way. That is to say, computers will at some point match us in most tests of intelligence, but the solutions they devise will be completely novel.

[1] https://blog.google/topics/machine-learning/alphago-machine-...