The supercomputers Deep Blue and Watson from IBM have achieved impressive feats, but these large artificial intelligence systems were largely pre-programmed with the game's instructions and appropriate strategies. In contrast, the «light» system of Google Deep Mind started with basic information, doing the rest on its own as it progressed, thanks to its advanced algorithms.
It took about two weeks of training on the new system for it to learn, through continuous testing and errors, the “secrets” of each of the 49 games. Moreover, in some cases, it discovered new “tricks” that players had never encountered before.
Thus, he learned on his own to play games such as Space Invaders, Pong, Enduro, Video Pinball, Boxing, Breakout, Pac-Man, Private-Eye, etc. Although these video games are old, from the ’80s decade, it is considered an achievement – a milestone that the system managed to learn on its own to successfully play so many games, without special programming beforehand.
This achievement in the field of the so‑called «deep» machine learning opens the way for the creation of truly more «intelligent» computers and machines in general. For example, autonomous vehicles without a driver, robots that will understand their environment or devices that will fully comprehend human speech, so that they translate correctly in real time.
There are certainly those who fear that artificial intelligence will ultimately become dangerous for humanity. Among other things, cosmologist Stephen Hawking has warned that the development of a fully developed artificial intelligence “could mean the end of the human race». Demis Hassabis, however, appeared reassuring, saying that “we are still decades away from any technology that should worry us». But then?


