I honestly disagree. Because in that case any evolution of anything would be impossible. Take a look at Wolfram's New Kind of Science for an analysis of how massive complexity arises from simple beginnings.
I will go further and tell you thay the state of AI so far is nowhere as advanced as you think. It is not a flexible intelligence that can figure out connections between concepts (look up Cyc for the closest we've got). It's PARAMETRIC MODELS made by HUMANS where a neural net simply runs an algorithm written by HUMANS to optimize something. It's just an optimization problem.
You know where all the ingenuity and progressin machines comes from currently? The ability to make PERFECT COPIES AND SEARCH QUICKLY. You see, learning takes a long time and imperfectly copies information. Books could be copied but search is slow. Now with computers we can try algorithms out and the ones that work better are SELECTED FOR AND COPIED and anyone around the world can contribute. That is also why open source outcompetes closed solutions.
You will find that the huge innovation in technology and software from 40s and 50s til now has all been because HUMANS added to the snowball and replicated good ideas. The ideas themselves require HUMANS to generate new ideas.
Show me one AI today that can form connections between concepts to teach itself to solve arbitrary problems, instead of just optimizing some parametric pattern recognizer.
it would be a massive breakthrough if such an AI existed today, and it doesn't.
Due to the amount of hardware that we have to throw at the problem, it may, however, happen at any moment. I am saying we have more than enough hardware for general intelligence to arise out of server farms - but, yes, the millions of years of evolution that gave rise to humans hasn't occurred. it would be a breakthrough, yes.
I will go further and tell you thay the state of AI so far is nowhere as advanced as you think. It is not a flexible intelligence that can figure out connections between concepts (look up Cyc for the closest we've got). It's PARAMETRIC MODELS made by HUMANS where a neural net simply runs an algorithm written by HUMANS to optimize something. It's just an optimization problem.
You know where all the ingenuity and progressin machines comes from currently? The ability to make PERFECT COPIES AND SEARCH QUICKLY. You see, learning takes a long time and imperfectly copies information. Books could be copied but search is slow. Now with computers we can try algorithms out and the ones that work better are SELECTED FOR AND COPIED and anyone around the world can contribute. That is also why open source outcompetes closed solutions.
You will find that the huge innovation in technology and software from 40s and 50s til now has all been because HUMANS added to the snowball and replicated good ideas. The ideas themselves require HUMANS to generate new ideas.
Show me one AI today that can form connections between concepts to teach itself to solve arbitrary problems, instead of just optimizing some parametric pattern recognizer.