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I have a question about “domain expertise” as a component of future knowledge worker requirements. How does one gain such expertise in a context where thinking

by mohsen1 1mo ago

I have a question about “domain expertise” as a component of future knowledge worker requirements. How does one gain such expertise in a context where thinking is expected to be delegated to AI (shifting from problem solving to question asking, as noted in this paper)? How does one learn to pose the right questions when basic ones are rarely “manually” answered? that is, without an AI assistant’s help This pattern appears in schools, where AI interferes with human development that typically demands long and difficult effort of actually answering questions

317070 1mo ago
How do you become a baker, in a world of bread factories. I think the answer lies in baking the good old fashioned way and ignoring the factories.
- itisit 1mo ago
  Fine for bread, but I don't think most customers are interested in the artisanal aspects of business operations.
- RGamma 1mo ago
  Then again, if the permanent underclass hypothesis turns out to be true, baking the old way may become the only choice.
zabriel_goss 1mo ago
For certain functionality, we import libraries. For others, we've handwritten solutions. Even so — sometimes we have to crack open the repo for a library to really dig in to what's going on. That seems to go for domain experts as well. I think we've always been working with the scenarios of what's solved for us and what we need to solve manually. AI is certainly not an abstraction layer, but there are ways to use it where you are still driving, learning, and shipping.