There are multiple different levels of AI. The basic one is ANI (artificial narrow intelligence). An ANI is specialized in one area. So as example it can be a champion in a specific board game, but it can\u2019t do other things like example recognize handwriting. The next level would be the so called AGI (Artificial General Intelligence). It\u2019s sometimes also called Human-Level intelligence, because it\u2019s supposed to be as smart as a human in every aspect. And the third level of AI that we have is the ASI (Artificial superintelligence. This one is defined as an AI that is much smarter than the best human in practically every field. An AI qualifies as ASI as soon as there\u2019s a machine that is just a little smarter than a human.<\/p>\n
Nowadays we have AI\u2019s that are on ANI level. There was just recently an AI that did beat the best GO player (Alpha Go). And there are also a lot of other AIs which are better than humans in a certain field. Interestingly the machines are usually better than humans in topics were \u201cthinking\u201d is necessary. As example doing calculus, translate languages and many others. But in things that wouldn\u2019t really require \u201cthinking\u201d for humans, as example recognize a cat as a cat, humans outperform computers. This comes from millions of years of evolution where the human race perfected such skills.<\/p>\n
The interesting thing about reaching AGI is, that this will only be temporary. Because when a computer reaches this state, it will already be outperforming humans. It will be faster, a human brain has around 200 Hz whereas a cpu runs at around 2 GHz. It can have more storage, because a computers hardware can easily be expanded. And the computer will have more \u201cuptime\u201d, because we humans need sleep. A computer however can operate 24\/7. So it won\u2019t be long from there to reach the ASI level. And then it can very well be, that the AI will have exponential growth on its intelligence level. That means according to the blog post, that an AI could 90 minutes after reaching ASI already be 170\u2019000 faster than a human being.<\/p>\n
Interesting in the article was when they talked about different approaches on how to get better AIs. So one approach would build to try to rebuild the human brain and train it. Another one was to find an approach that was different from the human brain, but that would be more suitable for a computer. An example would be our airplanes that are not flapping like birds, but use a different approach that\u2019s suitable for a machine. However, for me it was unclear which approach is considered more promising.<\/p>\n
And a second question that I had after the article was, if it\u2019s possible to teach an AI our understanding of moral. So if we reach an ASI, could it be that this ASI has our moral guidelines implemented and will obey those, even if it has another goal that may could be reached faster if it doesn\u2019t follow them?<\/p>\n
All in all the article was very interesting but it got dark fast. I think it can very well be, that we will have at one point an AI that can outperform humans. But I don\u2019t think, that this means that this will be the end of humanity. I see it more as a chance to improve our life quality and to solve problems that we humans are not (yet) able to solve. As example cure rare diseases or solve theoretical hard problems (e.g P vs NP).<\/p>\n","protected":false},"excerpt":{"rendered":"
There are multiple different levels of AI. The basic one is ANI (artificial narrow intelligence). An ANI is specialized in one area. So as example it can be a champion in a specific board game, but it can\u2019t do other things like example recognize handwriting. The next level would be the so called AGI (Artificial General Intelligence). It\u2019s sometimes also called Human-Level intelligence, because it\u2019s supposed to be as smart as a human in every aspect. And the third level of AI that we have is the ASI (Artificial superintelligence. This one is defined as an AI that is much smarter than the best human in practically every field. An … <\/p>\n