I think that programming adjacent activities that will be fairly robust to #ai #llms #llm is UX design (in the broadest sense, anything that humans use to interface with computational substrates), because it is fundamentally anchored in human cognition: taste, mental connections that are beyond “relationship between symbols”. Even the best of human UX designers know that good UX is chiseled out of the marble of iteration and refinement and creativity.The other one is “mathematics”, and in a way this is much closer to what I viewed programming as, except the direction is inverse. Programming languages are human languages that allow us to communicate about how computers do things and thus build upon each others work, and translate the “ineffable” human mental constructions into symbols the machine can execute. We have both fairly simplistic mental objects (compared to traditional mathematics), and yet these objects cover an immense amount of complexity (just imagine what x => x+1 in JS “...
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