1.WHEN ITS STARTED?
When A Nuclear Scientist Showed A One-ton Electromechanical Machine At The New York World’s Fair In 1940, It Successfully Played The Ancient Chinese Game Nim, In Which Two Players Compete By Removing Things From Heaps Until Only One Is Left. One Of The Earliest Recorded Computer Games Was Quickly Defeated By The Machine, Along With The Majority Of Its Human Competitors.
2.HOW DID ALPHA GO BUILD PLAYER-WINNING STRATEGIES FOR AI?
For Years, Automated Versions Of The Seemingly Simple Game Of Go—which Is Actually A Googol Times More Difficult Than Chess—could Only Play At The Level Of Amateur Humans. Nevertheless, Deepmind’s Alphago Used Neural Networks, Which Added A New Dimension To Ai, To Analyse 10170 Different Board Configurations And Develop A Programme That Resoundingly Defeated Top Players In The Game.
3.WHAT DO SCIENTISTS BELIEVE MAY HAVE PREDISPOSED HUMANS TO GREATER FEATS?
We Find That Human Decision-making Significantly Improved After The Advent Of Superhuman AI, Scientists Said. Our Findings Suggest That The Development Of Superhuman AI Programmes May Have Prompted Human Players To Abandon Conventional Strategies And Explore Novel Moves, Which In Turn May Have Improved Their Decision-making.
It is incredible to watch how quickly human players have evolved to include these new discoveries in their own play. These findings imply that humans will modify and expand on these findings to greatly boost their potential. Humans may not yet have the upper hand in games versus highly intelligent machines, but they are no longer mere pawns in the game thanks to AI’s ground-breaking insights into winning tactics.