@rotenmorgen@ProfEmilyOster usually the way I get around thus is by using amazon's 'look inside' feature, but alas it's not available for this book -- yet
@CharlesFLehman yes, yes, but let's not forget that historically -- even incredibly useful technologies -- take time to be integrated into the economy. The lag from innovation to economic integration is almost always fairly protracted
@johnloeber i've had similar experiences in my own experimentation with it. but when i hear openai and anthropic people say that internally nearly everything is done with ai coding, it makes me wonder whether it's me that's the problem, not claude or chatgpt
@hsu_steve lol, remind me of the academic background of the authors who wrote this paper?? They weren't "professional economists", were they?
--Very cool paper though.
@JesusFerna7026 Producing new (usually narrow) knowledge, and having the wisdom to apply economics in real time--usually very basic economics -- are very different skills. Some have both, not many. Research rewards risk taking and innovation. Policy rewards avoiding disaster.
@stevehou what if your enemies have a high WTP when making bribes and your friends have a low reservation price; seems like it'd be a pretty ruinous meeting of supply and demand to bring about ¯\_(ツ)_/¯
@paulnovosad which is interesting, because then AI (in this context) doesn’t really lower the barrier to entry such that *novices* can enter the domain, as much as it enables domain experts to significantly increase output given an identical constraint
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interesting, and point taken.
still though, one thing I think that's often missing from 'look-how-impressive-a-thing-AI-can-now-do' discourse is that people often neglect that in order to ask AI to do said thing — and interpret its quality and amend its shortcomings — one often needs a lot of background knowledge about said thing
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