If you can define intelligence in sufficiently precise terms, its implementation becomes easier.
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If the only successes of AI have been in developing narrow task-specific systems, it is because only within a highly specialized and grounded context are we able to *define the goal* sufficiently precisely, and to *measure progress*. "General AI" is far too vague to be actionable
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The solution must be co-evolved with the problem definition.
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I believe you are correct.
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FWIW, I can say that in my experience as a product leader, project failure has almost always been a consequence of poor problem definition, not an inability to implement a solution.
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To love
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Prof Simon stringer of OFTNAI is working in this direction. He wants to reach human level AI incrementally i.e, by achieving rat level AI.
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