Steve Jobs argues that while computers excel at simple tasks with high accuracy and the human mind handles complex tasks adequately, the fundamental difference lies in self-consciousness—humans are aware of their own consciousness, a trait not yet achieved by computers or high primates. He emphasizes that despite significant efforts in artificial intelligence, researchers still do not fully understand whether humans are more than machines, and this mystery drives ongoing research into brain architecture and the development of non-von Neumann computer systems.
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Steve Jobs responds to question about artificial intelligence, IDCA, 1983
Added:And so, we're finding the way we've built computers in the past isn't working for the kinds of things we want to do in the future. And we're examining new architectures.
These fancy words like non-von Neumann machines, etc. And what we're doing is we're starting to look to the human brain. How is the human brain architected? And we're finding that computers are very good at doing very simple things extremely accurately. And the human mind is very good at doing very complex things adequately.
And there's a ton of people now starting to look to the brain as a model of an architecture to build a computer.
The main differentiation that exists now between the two machines, and I'm going to use the word machine to describe the brain for a moment, is that man is self-conscious, obviously.
We are conscious that we're conscious. I am thinking. And to our knowledge, no computer or any even of the high primates has yet to say, "I am thinking."
And so, a tremendous amount of work is going on in the artificial intelligence community to try to understand what self-consciousness is, to try to understand if a computer can ever be self-conscious.
But I think the biggest thing that motivates a lot of us is, unlike what we just heard, we don't know.
We honestly don't know whether we are more than just a machine.
And we are building better and better computers. We're running up against roadblocks. A lot of people are spending the best parts of their lives right now to try to understand the architecture of the brain and how we can make better and better machines to emulate it.
And I actually think by the end of our lifetimes, we're going to know the answer to this question. And that's what's driving a lot of us.
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