Updating & defending assumptions
Read OriginalThe article challenges readers to list and critically examine their assumptions about AI—its strengths, weaknesses, risks, and best practices for adoption. It argues that strategies and products built on outdated assumptions may fail, using the evolution of AI coding tools from being deemed unfit for production to receiving high praise from senior engineers as a key example. The core message is the necessity of continuously updating your mental models as AI technology rapidly advances.
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