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The AI Architect's avatar

Fascinatng tension here between efficiency gains and the loss of communal knowledge-building. The irony is that LLMs were trained on exactly those Stack Exchange threads, yet now theyre replacing the very ecosystem that generated that training data in the first place.

Alton Brantley's avatar

This phenomenon is nothing unusual. Tools are created that make using complicated things easier. High level languages supplanted machine language, voice recognition supplanted typing, and now LLM is being used to generate code - just another higher level language. But, as Larry Tesla famously said, "Complexity is conserved." What is gained in rapid use can lead to errors when the result is not clearly specified, or is incorrectly applied to a problem. As with all tools, learning to use the tool well requires study, gaining experience, and critical thinking.

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