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A key problem is the many different readings of the word intelligent. I wouldn't call what we currently have as "capable of reasoning" for instance, though that
by dspillett 3y ago
A key problem is the many different readings of the word intelligent. I wouldn't call what we currently have as "capable of reasoning" for instance, though that might not be the intent and that is instead a property of "general intelligence". Of course that has linguistic issues to as it makes general intelligence (artificial or otherwise) a subset of intelligence - i.e. more specific despite adding "general" to the name.
- jacobr1 3y agoPart of the problem is that we have very vague notions of what "reasoning" actually means. If you mean simple deductive logic ... LLMs can often perform such operations today, albeit highly inconsistently. If you mean inductive reasoning and working through a problem through first principles, then they usually fail. The state of the art their are tricks to get the system to extract out the assumptions and base knowledge and then work deductively. But every time we have an advance in machine learning, we seem to redefine intelligent activity to be beyond that. At a certain point, what is left?