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by p-e-w
1286 days ago
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I believe the fact that humans can distinguish a cat from a chair after being shown just a single cat actually demonstrates that humans have much deeper insight into what a "concept" is than current AIs do. If sensor data were the problem, computers could easily outperform humans since we have sensors that generate much more detailed data than the human senses: High-resolution cameras, multi-spectral and thermal imaging, x-rays, radar, etc. The actual difference is that when shown a picture and told "this is a cat", humans already know what to look for. Even if a human has never seen a cat before, they will not, for example, examine the background of the photo, or the floor the cat is lying on. They will also instinctively derive analogies from similar animals they already know, and deduce lots of correct information about that "cat" without needing to be told explicitly. |
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Yes exactly. You’ll look for 4 legs, a tail, pointy ears and graceful movement. All of that is data you’ve registered by your (primarily one) senses (sensors). You’re receiving more data, and processing it faster, than a program.
Humans are fundamentally pattern matchers, and we’re great at it. What you call concept I call pattern.