Rough thoughts on getting better at integrating AI into workflows
AI (in the near future) likely has strengths and weaknesses vs human cognition. Optimal usage may not involve simply replacing human cognition, but leveraging AI and human cognition according to respective strengths and weaknesses.
AI is likely to be good at solving well-specified problems. Therefore it seems valuable to get better at providing good specifications, as well as breaking down larger, fuzzier problems into more smaller, more concrete ones
AI can generate many different solutions to a problem. Therefore it seems valuable to get better at understanding important desiderata and tradeoffs to select the best one.
When addressing open-ended problems, first use AI to understand the problem, relevant uncertainties, tradeoffs. “Think correctly” about the problem. Gradually “narrow down” and converge to a good specification. Then “execute correctly” on solutions.
Rough thoughts on getting better at integrating AI into workflows
AI (in the near future) likely has strengths and weaknesses vs human cognition. Optimal usage may not involve simply replacing human cognition, but leveraging AI and human cognition according to respective strengths and weaknesses.
AI is likely to be good at solving well-specified problems. Therefore it seems valuable to get better at providing good specifications, as well as breaking down larger, fuzzier problems into more smaller, more concrete ones
AI can generate many different solutions to a problem. Therefore it seems valuable to get better at understanding important desiderata and tradeoffs to select the best one.
When addressing open-ended problems, first use AI to understand the problem, relevant uncertainties, tradeoffs. “Think correctly” about the problem. Gradually “narrow down” and converge to a good specification. Then “execute correctly” on solutions.