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by fhnjh
4255 days ago
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I agree, machine learning currently requires huge globs of knowledge to wield. As such it is a tool for an intelligent entity to use, it is not intelligent in it's own right. I disagree with Michael about the correct way forward for machine learning, the problem is not one of piecemeal engineering. If you are spending your time developing algorithms to solve a particular class of problem, you are wasting your time(in terms of pursuit of GAI). The overarching problem needs to tackled, what is the correct framework within which to think about intelligent systems? This is, as mentioned in the article a question of insight - we need the metaphorical apple to fall on some bright sparks head. But if all the bright sparks are fully engaged in chasing the short term problem it might take a long time. |
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Trying to emulate biological brains might not be the way forward. People tried to fly by constructing bird-like feathers and wings - it obviously didn't work. We had to understand the underlying principles governing flight. The same applies to creating neural networks.
There's some underlying principle the brain uses. It doesn't mean we have to crack brain structure to achieve strong intelligence.
We should look for inspiration in biological systems but we should not try to copy them.