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> I still don't understand the purported difference between "sounds smart" and "is smart". One understands the problem space and used logical reasoning to prod
by Someone1234 4y ago
> I still don't understand the purported difference between "sounds smart" and "is smart".
One understands the problem space and used logical reasoning to produce a solution, the other put the problem into Google, hit "I'm feeling lucky" and then parroted the first result right or wrong (or an aggregate of that).
> How else can you verify an entity's intelligence other than its "output"?
I'd argue that's actually a good test. I'd also point out that that is exactly where these solutions let themselves down, because they make [to us] obvious errors and don't understand that they did. That's why you know they are smart sounding rather than actually smart.
> we can't see inside an AI's brain.
We absolutely can see inside a deep learning model's structure.
- ramesh31 4y ago>the other put the problem into Google, hit "I'm feeling lucky" and then parroted the first result right or wrong (or an aggregate of that). Sounds a lot like most college essays I've ever read.
- edgyquant 4y agoYea most college essays are written by people in the act of learning. Their grades are the reinforcement process.
- allturtles 4y agoSo here you imply that most college students don't count as intelligent yet? These conversations always seem to get to a point where someone is willing to imply that most humans are not intelligent in order to defend the idea that LLMs are not intelligent.
- anonymouskimmer 4y ago> "So here you imply that most college students don't count as intelligent yet?" A couple of things: 1) College students are in the act of learning, so what they are attempting to do is ideally just at their limit. 2) College students aren't intelligences focused on a single kind of output.