Despite fears that A.I. will one day take over the world, some experts contend that our existing A.I. systems are incapable of surpassing human intelligence
Call it the Skynet hypothesis, Artificial General Intelligence or the advent of the Singularity — for years, A.I. experts and non-experts alike have fretted the idea that artificial intelligence may one day become smarter than humans.
In my mid-thirties, I left academia and became a business consultant and entrepreneur working in artificial intelligence software systems. I was trying to build A.I. systems to mimic what human beings can do. I realized that I was running into the same problem that I had years before in biology. JL: The name ‘neural network’ is a complete misnomer. The neural networks that we have now, even the most sophisticated ones, have nothing to do with the way the brain works. The view that the brain is a set of interconnected nodes in the way that neural networks are built is completely naïve.
This means that we don’t know, for instance, what is responsible for consciousness. There are, in fact, a series of quite interesting philosophical problems, which, according to the method that we’re following, will always be unsolvable – and so we should just ignore them. We have quite a lot in the book about the Bostrum-type arguments. The core argument against them is that if the machine cannot have a will, then it also cannot have an evil will. Without an evil will, there’s nothing to be afraid of. Now, of course, we can still be afraid of machines, just as we can be afraid of guns.
If you are God, you also want to be a creator. If you could create a superintelligence then you are like God. I think it has to do with the hyper-narcissistic tendencies in our culture. We don’t talk about this in the book, but that explains to me why this idea is so attractive in our times in which there is no transcendent entity anymore to turn to.
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