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by geophile
138 days ago
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The article gets at this briefly and moves on: "I can do all of this with the experience on my back of having laid the bricks, spread the mortar, cut and sewn for twenty years. If I don’t like something, I can go in, understand it and fix it as I please, instructing once and for all my setup to do what I want next time." I think this dynamic applies to any use of AI, or indeed, any form of outsourcing. You can outsource a task effectively if you understand the complete task and its implementation very deeply. But if you don't, then you don't know if what you are getting back is correct, maintainable, scalable. |
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This works up to a point, but eventually your "setup" gets complicated, some of your demands conflict, or have different priorities, and you're relying on the AI to sort it out the way you expect.