61–70 of 114 posts
I wouldn't write those professionals off so easily. People barely knows AlphaGo until now. Once they start learning about AlphaGo's behaviors, they may be able to come out with new tactics. No doubt it will be a collective effort from the Go community, no one can beat the machine alone.
Hell, Google should organize a "AlphaGo against the world" on internet.
I mean, that's like asking whether marathon runners have a future now that we've got cars. Exercising one's brain/having pleasure through the game could be an end in itself, and is independent of how machines perform.
I like that analogy a lot! It's not like "playing Go really well" ever solved any real-world problem, it has always been a competition among humans. What should change, there?
Its kind of like climbing mount Everest 'because it was there'. Its just not 'there' anymore.
Earlier quoted context omitted.
Kind of cool to know (if you're Lee) that your thinking ability is on par with 1920 CPUs and 280 GPUs!
Well, the whole point of this match has been to demonstrate that it is not...
I'd be ecstatic if I could keep GNU Go on 1 CPU from wiping the floor with me... :)
I mean, that's like asking whether marathon runners have a future now that we've got cars. Exercising one's brain/having pleasure through the game could be an end in itself, and is independent of how machines perform.
Man it would have been great to live at the time of horse races.
Is this Poe's Law in action?
Well, absolutely, if they're talking about Golang that is. In all seriousness, a computer did fairly well on Jeopardy some years back, and we're still watching the game show as it's still quite relevant.
And a trained human + computer with internet access (Google search!) could beat the best humans in Jeopardy for quite a while now.
Earlier quoted context omitted.
What kind of configuration would you need to run the DeepMind setup? Looking at the wikipedia page if we assume the setup [1] there then it seems like at this time it would be out of the realm of feasibility at this time of setting up this software for cheating. [1] https://en.wikipedia.org/wiki/AlphaGo#Hardware
Google's infrastructure gives it an extra boost, but even the single machine version can beat the distributed version 25% of the time.[1] [1] https://twitter.com/demishassabis/status/708489093676568576
So to me this underscores the relative importance of the deep learning model vs the tree search.
I mean, that's like asking whether marathon runners have a future now that we've got cars. Exercising one's brain/having pleasure through the game could be an end in itself, and is independent of how machines perform.
I like that analogy a lot! It's not like "playing Go really well" ever solved any real-world problem, it has always been a competition among humans. What should change, there?
I would think this has to be a serious inflection point... As far learning how to think, strategize, competing with friends, etc go will remain. However for the extremely few say 100 really top level players, this has to in a way be disheartening... at that level its about competition, and the will, discipline and ability to advance... it has to be disheartening to know you will never be the best. Its kind of like cl…