Google A.I. Exceeds Bounds of Human Intelligence
Google has created a computer with artificial intelligence that is not constrained by human intelligence. This computer Google has created has taught itself how to play the ancient Chinese game of “Go” and is virtually unbeatable.
The game itself is known to be the hardest game known to man and takes years for humans to master if they ever do. The computer named “AlphaGo Zero” was only provided basic instructions on how to play, and then taught itself to a level of mastery beyond that of Google’s previous super computer.
I cannot deny my flare for the dramatics so I can tell you that this is terrifying and and I’m about ready to find a bunker and freeze dried food in order to prepare for the Robot Revolution. According to Google I have nothing to worry about, but if you’ve seen “Terminator” or “War Games” or even “Eagle Eye” (a Shia Labeouf classic btw, if those exist), then you should jump right on the crazy train with me.
Google will tell you that while AlphaGo Zero did have to rely on programming to learn, and it’s capacity to learn is limited in that it cannot gain consciousness, this all sounds like the beginning of pretty much any science fiction movie that comes on Tuesday afternoons on HBO.
For now I’ll keep showing up to work and being as normal as I can be, but believe you me, I got my eye on you Google!
The computer that stunned humanity by beating the best mortal players at a strategy board game requiring “intuition” has become even smarter, its creators claim.
Even more startling, the updated version of AlphaGo is entirely self-taught — a major step towards the rise of machines that achieve superhuman abilities “with no human input”, they reported in the science journal Nature.
Dubbed AlphaGo Zero, the Artificial Intelligence (AI) system learnt by itself, within days, to master the ancient Chinese board game known as “Go” — said to be the most complex two-person challenge ever invented.
It came up with its own, novel moves to eclipse all the Go acumen humans have acquired over thousands of years.
After just three days of self-training it was put to the ultimate test against AlphaGo, its forerunner which previously dethroned the top human champs.
AlphaGo Zero won by 100 games to zero.
“AlphaGo Zero not only rediscovered the common patterns and openings that humans tend to play … it ultimately discarded them in preference for its own variants which humans don’t even know about or play at the moment,” said AlphaGo lead researcher David Silver.
The 3000-year-old Chinese game played with black and white stones on a board has more move configurations possible than there are atoms in the Universe.
AlphaGo made world headlines with its shock 4-1 victory in March 2016 over 18-time Go champion Lee Se-Dol, one of the game’s all-time masters.
Lee’s defeat showed that AI was progressing faster than widely thought, said experts at the time who called for rules to make sure powerful AI always remains completely under human control.
In May this year, an updated AlphaGo Master program beat world Number One Ke Jie in three matches out of three.
Unlike its predecessors which trained on data from thousands of human games before practising by playing against itself, AlphaGo Zero did not learn from humans, or by playing against them, according to researchers at DeepMind, the Google-owned British artificial intelligence (AI) company developing the system.
Starting with just the rules of Go and no instructions, the system learnt the game, devised strategy and improved as it competed against itself — starting with “completely random play” to figure out how the reward is earned. This is a trial-and-error process known as “reinforcement learning”.
Steve
Steve is an affordable multifamily housing professional that is also the co-founder of Whiskey Congress. Steve has written for national publications such as The National Marijuana News and other outlets as a guest blogger on topics covering sports, politics, and cannabis. Steve loves whiskey, cigars, and uses powerlifting as an outlet to deal with the fact that no one listens to his brilliant ideas.
