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In my opinion, the process you describe when transforming the AI approach into an engine is simply related to our understanding of why it works and how. And th
by stephc_int13 4y ago
In my opinion, the process you describe when transforming the AI approach into an engine is simply related to our understanding of why it works and how.
And this can clearly be done to cover a wide range of useful things.
But I would make two observations, first, neural nets are much more closely related to applied statistics than biology mimicry. The historical name should not matter much but it does because humans are driven by emotions, even in research.
Second, AGI is still too badly defined to be seriously discussed.
Every time people can observe some progress in the AI field, they are tempted to make predictions that, in my opinion, are impossible to make.
We're getting closer. That's all.
- namarie 4y ago> first, neural nets are much more closely related to applied statistics than biology mimicry Well, aren't biological systems really really refined statistical systems?
- stephc_int13 4y agoMaybe, but real neurons are not closer to artificial neurons than a digestive system is to a furnace or a barrel of acid. There is a very loose relation between them, because neural nets were historically inspired by the way real neurons are connected. This is not saying anything about the capabilities of neural nets, I think they can be extremely potent, up to AGI level, but not because of biological mimicry but thanks to Computational Equivalence. https://worldscienceu.com/lessons/2-6-principle-of-computational-equivalence/ https://worldscienceu.com/lessons/2-6-principle-of-computati...