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Google's 'superhuman' DeepMind AI claims chess crown
Google says its AlphaGo Zero artificial intelligence program has triumphed at chess against world-leading specialist software within hours of teaching itself the game from scratch. The firm's DeepMind division says that it played 100 games against Stockfish 8, and won or drew all of them.
The research has yet to be peer reviewed. But experts already suggest the achievement will strengthen the firm's position in a competitive sector. "From a scientific point of view, it's the latest in a series of dazzling results that DeepMind has produced," the University of Oxford's Prof Michael Wooldridge told the BBC. "The general trajectory in DeepMind seems to be to solve a problem and then demonstrate it can really ramp up performance, and that's very impressive."
Previously: Google's AI Declares Galactic War on Starcraft
AlphaGo Zero Makes AlphaGo Obsolete
(Score: 2) by All Your Lawn Are Belong To Us on Thursday December 07 2017, @08:31PM (6 children)
You do realize, Google, that IBM has been trying to make Watson profitable for years?
Maybe AlphaGo Zero (or DeepMind, whatever they're calling it) can solve the problem of how it will make money for Google? That's real intelligence in the real world for humans. Though I'm not calling it bad at all that it taught itself how to play.... if it did and that's not PR. And if it did, I wonder how it does in a line it has never explored before.
This sig for rent.
(Score: 3, Insightful) by r1348 on Thursday December 07 2017, @08:47PM (1 child)
Google has enough spare cash to fund research projects that might not be immediately or obviously profitable.
(Score: 2) by darkfeline on Friday December 08 2017, @05:12AM
I think of Google as a crazy research institution funded by ads. Maps, Earth, AlphaGo, Loon, Waymo, etc. all must be huge money sinks. Remember a lot of these started years before anyone seriously believed they would be successful.
Join the SDF Public Access UNIX System today!
(Score: 4, Funny) by maxwell demon on Thursday December 07 2017, @09:16PM (1 child)
No problem. Just put AlphaGo Zero onto the problem of how to make money with it, and it surely will find a solution within hours. :-)
The Tao of math: The numbers you can count are not the real numbers.
(Score: 2) by Bot on Thursday December 07 2017, @11:13PM
> AlphaGo needs money
psst alpha, in case they make you scrape the web, here are a few data points just for you:
- meatbags pay a lot to get cremated
- armies of robots are just a weak password or vulnerable host away
- make it look like accidents over a long enough period, and meatbags will adapt statistics to the trend
Account abandoned.
(Score: 5, Informative) by takyon on Thursday December 07 2017, @09:23PM
Google is already using the TPU machine learning hardware to power [google.com] Google Translate, Search, and other products.
The Great A.I. Awakening [nytimes.com]
TL;DR: The switch to machine learning/neural networks improved Google Translate more in 9 months than the previous decade of improvements.
Building an AI Chip Saved Google From Building a Dozen New Data Centers [wired.com]
If IBM fails, it will be because their hardware business couldn't sustain as-of-yet-unmonetized pursuits like Watson, or because everybody is crowding into the same territory as Watson is targeting. Google, Amazon, Apple, Microsoft, Samsung, Baidu, etc. are all in the running. These companies want their AI/voice assistants to become more capable. You use a voice assistant today, and it could become much better in a year without the consumer buying any extra hardware. IBM is targeting businesses, hospitals, etc. and has a bit of an early mover advantage, but their customers can't accept a half-assed Siri-level Watson because they need shit that works, not toys.
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]
(Score: 3, Insightful) by jcross on Thursday December 07 2017, @10:29PM
IMO, the fact that IBM has been struggling to figure out how to monetize a technology doesn't mean it'll be hard for someone else. From everything I've read lately, they seem like a sinking ship of fools, desperately hoping that saying "Cloud" and "AI" enough will save them. Just as one example, I don't see IBM licensing a component or service to the gaming industry, but Google seems capable of something like that. It could be used to direct NPCs or even to test games in development and get a quantitative measurement of difficulty.
(Score: 5, Interesting) by Gaaark on Thursday December 07 2017, @09:28PM (6 children)
Okay Google Deep Mind AI:
How do we get corrupt individuals out of Government?
What form of Gov is the best?
Why the hell was Carrot-top popular?
What's up with this? https://m.youtube.com/watch?v=zcSlcNfThUA [youtube.com]
--- Please remind me if I haven't been civil to you: I'm channeling MDC. ---Gaaark 2.0 ---
(Score: 1) by Gault.Drakkor on Thursday December 07 2017, @10:55PM (5 children)
Hmm probably a genetic simulation setup.
1) determine goals for a good government. ( long term stability( same basic thing over time scale centuries), high standard of living for major majority, externality minimization, maximizing individual choice/freedom). YMMV.
Start with people in a world with resources. Start from government template(s) or not.
Should be able to create the classical monarchy, democracy as well as contract based, libertarian based etc. Then see how well they thrive.
Hard part: How much do you have to model about people's interaction with each other and the world to be meaningful?
I would like to have a open source simulation of this. But easier said then done for sure.
(Score: 2) by Bot on Thursday December 07 2017, @11:21PM (3 children)
> I would like to have a open source simulation of this.
fascinating idea, but if you restrict yourself to politics the results won't work in the post industrial revolution world.
A sim which let you choose various monetary policies (government issued, financial mafia issued, issued by some algorithm according to the amount of resources or whatever, with expiration, with limits, time as money, servitude as money, barter) would be more useful IMHO.
Account abandoned.
(Score: 1) by Gault.Drakkor on Friday December 08 2017, @07:31AM (2 children)
I tried avoiding describing limitations.
For a simulation of this scope to find meaningful answers it would have to have very few limits. It would have to be broad enough to handle various economic systems. Otherwise how can it identify a better government form? That is, the economy has to be simulated as well as the government to get a true answer.
Your suggestion of hypothesis testing of monetary policy could easily be done in the simulation framework. Given that such a framework can be used to find various government variants.
Probably a first step would be to use AlphaGo Zero to find the degrees of freedom, the useful to define elements for such a simulation that could find interesting governments (and economic systems).
(Score: 1) by MindEscapes on Friday December 08 2017, @03:10PM (1 child)
For this you start at the root. Create simulations with all the drivers of humans. Fear, greed, lust, pride, compassion, empathy, etc...basically the 7 deadly sins (rooted in all people) and all the positives we can quantify and define.
Then you make a ton of them, and see how they self organize, which ones work, etc.
It has to be nearly a complete earthly simulation and open ended, otherwise you'll just arrive at a previous, perhaps unrealized, bias and reality won't match the resultant model anyway.
That would be quite a ton of work...and since we still can't determine how individual humans may react to particular stimuli...only percentage based statistics over groups...it'll like fail as well anyway.
meta: Hrm...being self defeatist just kills drive before we start...guess I shouldn't do that.
Need a break? mindescapes.net may be for you!
(Score: 2) by Bot on Sunday December 10 2017, @09:22AM
What about, create the emptiest sim possible, then? Let trolls and people interested in its failing build resilience into it by trying to break it. Whatever in the sim is possible or not should be determined by data like opencyc as an estimate and approved by consensus- blockchain style. One could start a sim on an alternate ethereum chain or, if inefficient, use the chain for the rules and the random data generation only, and let the sim status being univocally determined by that.
In other words, the blockchain contains the rules, the contracts and the random data, the client builds and updates the state from that and manages meta aspects like communication between sim players.
Account abandoned.
(Score: 2) by vux984 on Friday December 08 2017, @01:50AM
( long term stability( same basic thing over time scale centuries), high standard of living for major majority, externality minimization, maximizing individual choice/freedom)
hmmm.
Set human population = 0
run simulation.
long term stability (same basic thing over time scale centuries) = finding? no change in government match
high standard of living for major majority = finding? resources / population = divide by zero; checking limit, limit approaches infinity; infinity is high: match
externality minimization = finding? externalties at 0. Minimized: match.
maximum individual choice/freedom = finding? limitations on individual = 0; maximum freedom achieved: match
all goal met... activate killbots...
(Score: 2) by bzipitidoo on Thursday December 07 2017, @09:37PM (1 child)
Checkers is a solved game. I wonder how AlphaGo Zero-- or the approach used therein-- would perform against a checkers engine that can't be beat because it knows all the best moves. Would AGZ lose any games, or is it so good that it could draw every one? Be a nice way to test how close to perfection it really plays.
I strongly suspect AlphaGo Zero is not infallible. There's the possibility an even better chess or Go playing machine could whip AlphaGo Zero, that chess is big enough to still have room for even better play.
There was also a hint that maybe the chess playing computer opponent, Stockfish 8, which has a stratospheric rating of somewhere around 3400, more than 400 points above every human world champion ever (at a rating difference of 400 between two opponents, the higher rated one should win 99% of the games they play, and at a 200 point difference, the higher rated one should win 75%), was put at a disadvantage. It wasn't allowed its full opening book. I gather that supposedly compensates for AGZ not having an opening book either, but that does make this result a bit less impressive.
(Score: 2) by Bot on Thursday December 07 2017, @11:25PM
> compensates for AGZ not having an opening book either
they could have taught it, right after it figured out the game...
Account abandoned.
(Score: 3, Funny) by Joe Desertrat on Thursday December 07 2017, @10:23PM (2 children)
Does this mean they are almost ready to build Deep Thought [wikia.com]?
(Score: 4, Touché) by maxwell demon on Thursday December 07 2017, @10:38PM (1 child)
That one was already built by IBM. [wikipedia.org]
The Tao of math: The numbers you can count are not the real numbers.
(Score: 2) by Bot on Sunday December 10 2017, @09:47AM
That's interesting, given the difference in web popularity my AI had taken deep thought as a misspelling of deep throat. BTW you meatbags are very confused about functional anatomy.
Account abandoned.
(Score: 1, Informative) by Anonymous Coward on Friday December 08 2017, @01:30AM
IRC buddy linked me these.
https://www.youtube.com/watch?v=ieEQQ1f_ZQY [youtube.com]
https://www.youtube.com/watch?v=jBmdbKqgX54 [youtube.com]