The gift Google makes to the community (some games AlphaGo,played ) is nothing. The super tricky thing with neural networks is that you can't reverse engineer them. Once the information is coded into the parameters, you can't base anything useful on them. So it's a super good intellectual property protection... Therefore one more nail in the coffin of knowledge sharing as we know it...
AlphaGo's next move
41–50 of 179 posts
Re: AlphaGo's next move
#42Re: AlphaGo's next move
#43Earlier quoted context omitted.
Bit hyperbolic. Go at it's heart is a pretty basic game, just tricky combinatorics. The fact that you can do unsupervised learning simplifies it even more. I think there are much better true indicators, such as better translation, speech to text, auto driving, etc.
I think you are being hyperbolic here. Go is in a lot of respect much more challenging than machine translation, speech to text and auto-driving. All of the latter problems you described have had solutions for decades whereas Alpha Go is literally state of the art. It even uses proprietary hardware (TPU's) and was essentially engineered by one if not the most elite ML lab in the world. Their solution consists of an e…
Re: AlphaGo's next move
#44I remember vividly in 1997 when Deep Blue defeated Kasparov, and I was a competitive chess player. The mystique of the game was immediately lost for me, and I never found the passion for the game that I once had. My heart goes out to the sea of Go players now searching for meaning in the game. At the very least we can take this signal as a true indicator that our world is close to being completely upheaved by intelli…
I could see myself losing the passion for software engineering and design if an AI can do it better. That would have to be a general AI, and hopefully another couple of decades away.
I wonder if I could enjoy movies or books written by an AI. Scary to think about the psychological manipulation it would be capable of, especially if it lives inside a Google or Facebook datacenter.
Re: AlphaGo's next move
#45I have always liked playing through great games, both Chess (using the book The Golden Dozen) and Go (modern games and the ancient Shogun Castle games).
I have some history with computer Go. In the late 1970s I wrote a Go playing program in UCSD Pascal that I sold for the Apple II, and also for a lot more money I sold the source code to a few people who wanted to experiment with it. DeepMind's AlphaGo is a great intellectual and technological triumph and I agree that it is an example of future AIs teaching us and working with us.
A little off topic, but Peter Norvig gave a nice talk a few weeks ago at the NYC Lisp Users Group where he talked about the future of collaboration with AIs and also that the ability to work effectively with AIs, adding human insights, will be an important future job skill.
Re: AlphaGo's next move
#46I remember vividly in 1997 when Deep Blue defeated Kasparov, and I was a competitive chess player. The mystique of the game was immediately lost for me, and I never found the passion for the game that I once had. My heart goes out to the sea of Go players now searching for meaning in the game. At the very least we can take this signal as a true indicator that our world is close to being completely upheaved by intelli…
> our world is close to being completely upheaved by intelligent machines, in all areas of intellectual pursuit I could see myself losing the passion for software engineering and design if an AI can do it better. That would have to be a general AI, and hopefully another couple of decades away. I wonder if I could enjoy movies or books written by an AI. Scary to think about the psychological manipulation it would be c…
EDIT: this is not the same article I saw before, but same topic: https://futurism.com/googles-new-ai-is-better-at-creating-ai...
Re: AlphaGo's next move
#47The gift Google makes to the community (some games AlphaGo,played ) is nothing. The super tricky thing with neural networks is that you can't reverse engineer them. Once the information is coded into the parameters, you can't base anything useful on them. So it's a super good intellectual property protection... Therefore one more nail in the coffin of knowledge sharing as we know it...
Honestly I think you are missing the point. The gift DeepMind made with the published self-play matches is not really aimed at the machine learning but rather to the Go community. And over at /r/baduk they are appreciating it, as it will allow them to gain further insights into the gameplay. So this is definitely _not_ 'nothing'.
Re: AlphaGo's next move
#48I remember vividly in 1997 when Deep Blue defeated Kasparov, and I was a competitive chess player. The mystique of the game was immediately lost for me, and I never found the passion for the game that I once had. My heart goes out to the sea of Go players now searching for meaning in the game. At the very least we can take this signal as a true indicator that our world is close to being completely upheaved by intelli…
> our world is close to being completely upheaved by intelligent machines, in all areas of intellectual pursuit I could see myself losing the passion for software engineering and design if an AI can do it better. That would have to be a general AI, and hopefully another couple of decades away. I wonder if I could enjoy movies or books written by an AI. Scary to think about the psychological manipulation it would be c…
Re: AlphaGo's next move
#49Earlier quoted context omitted.
I think you are being hyperbolic here. Go is in a lot of respect much more challenging than machine translation, speech to text and auto-driving. All of the latter problems you described have had solutions for decades whereas Alpha Go is literally state of the art. It even uses proprietary hardware (TPU's) and was essentially engineered by one if not the most elite ML lab in the world. Their solution consists of an e…
I agree, Go is a challenging game for computers but even more so for humans. However, for computers, Go is not more challenging than translation, speech to text or driving or understanding a comic book. The progression of superhuman play in famous board games has gone as checker->chess-> go. The more a game relies on memory,tactics and evaluation speed, the quicker it falls. In terms of commonly played perfect inform…
Re: AlphaGo's next move
#50The gift Google makes to the community (some games AlphaGo,played ) is nothing. The super tricky thing with neural networks is that you can't reverse engineer them. Once the information is coded into the parameters, you can't base anything useful on them. So it's a super good intellectual property protection... Therefore one more nail in the coffin of knowledge sharing as we know it...
Most importanly, it is almost inevitable they must run on a fam of computers basically mean it becomes a service. Can we ever create a robot who can self-learn but with the super brain power locally without having to call a service for an answer?