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I created an AI to objectively grade coins. Give it a try!
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<p>[QUOTE="-jeffB, post: 24816061, member: 27832"]But I see that superiority as a rapidly dwindling frontier.</p><p><br /></p><p>Humans can bring together information from many sources and sensory channels, consciously and unconsciously. A programmer can't code a correct solution without knowing all the inputs and how they interact.</p><p><br /></p><p>But for the systems being built today, <i>no programmer has to</i> do that. The systems learn the same way animals or people do -- by repeated training against a wide variety of inputs, guided by scoring of the results. Given that, and given enough capacity, the systems should be able to emulate human decision-making.</p><p><br /></p><p>The thing is, these systems are simultaneously given <i>not</i> enough capacity and training (yet) and <i>far more</i> capacity and training than any human. And so we get today's situation, where in some areas the systems far outperform <i>any</i> human, in others they far outperform <i>typical</i> humans (as opposed to subject experts), and in yet others they founder hilariously.</p><p><br /></p><p>I don't see them getting <i>less</i> capable with time, and I see "human equivalence" as an arbitrary and fairly low spot on their eventual trajectory. I'm not sure whether to hope I'm right or wrong.</p><p><br /></p><p>Deftly noted, and please accept mine. I have no excuse.[/QUOTE]</p><p><br /></p>
[QUOTE="-jeffB, post: 24816061, member: 27832"]But I see that superiority as a rapidly dwindling frontier. Humans can bring together information from many sources and sensory channels, consciously and unconsciously. A programmer can't code a correct solution without knowing all the inputs and how they interact. But for the systems being built today, [I]no programmer has to[/I] do that. The systems learn the same way animals or people do -- by repeated training against a wide variety of inputs, guided by scoring of the results. Given that, and given enough capacity, the systems should be able to emulate human decision-making. The thing is, these systems are simultaneously given [I]not[/I] enough capacity and training (yet) and [I]far more[/I] capacity and training than any human. And so we get today's situation, where in some areas the systems far outperform [I]any[/I] human, in others they far outperform [I]typical[/I] humans (as opposed to subject experts), and in yet others they founder hilariously. I don't see them getting [I]less[/I] capable with time, and I see "human equivalence" as an arbitrary and fairly low spot on their eventual trajectory. I'm not sure whether to hope I'm right or wrong. Deftly noted, and please accept mine. I have no excuse.[/QUOTE]
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I created an AI to objectively grade coins. Give it a try!
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