If AI learns from AI, who creates the next original idea?

This is not a prediction. It is an intellectual exercise. Maybe it is wrong. Maybe it is too early. Maybe it can be discarded as a strange idea. But I think the question is worth asking: if AI-generated text becomes the dominant training substrate, where will the entropy needed for future AI evolution come from?

This article continues a line of thought I explored in my previous piece, “More Memory Won’t Fix Your AI Agents”. There, I argued that simply adding more context does not make agents more reliable, structure matters, boundaries matter, and context must be governed. In that piece, entropy and unstructured context were the enemies of reliable operations.

Here, I want to explore the paradox: when it comes to training and improving models, that very same contextual entropy may become our greatest ally for future evolution and adaptation.

So the question is: if context should not...

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