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Expertise and AI output quality
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Deep knowledge improves AI results
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Deep knowledge improves AI results
Mollick explains that deep domain expertise helps users understand where AI succeeds or fails, and cites recent Anthropic research suggesting that experts not only receive better quality work from AI but also extract more work from it overall.
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And recent work from Anthropic suggests that expertise also shapes the quality of what AI gives back . Experts not only get better work out of AI, they get more work out of it.The Overhang
Kontext
The first two advantages come from what you know. Deep knowledge is the expertise that comes from understanding a field or subject so well that you build intuition around it to quickly and accurately make decisions. It is how an experienced accountant can glance at a spreadsheet and know something is wrong, or how a golf pro can watch a swing and instantly understand the mistake the golfer is making. It is also why I could tell within seconds that the first trailer was more ominous than the book actually is. Deep knowledge is the realm of the specialist, and it is the only way to truly understand the shape of the Jagged Frontier, because only experts can understand the patterns of where AI succeeds or fails, at least in their area of expertise. It also helps you adapt to change because deep knowledge makes it easier to switch from being someone who does the work to someone who manages it.
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