The role of separating problems from solutions in good AI software
The author warns against expecting AI to define the problem or overengineering brittle implementation choices for a particular language model.
TLDR
One post argues that building good AI software requires a clear mental model of problems versus solutions. Expecting AI to specify the problem will leave builders dissatisfied, the author says, while overengineering brittle implementation choices for a specific large language model will prevent the software from scaling.
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