The Context Paradox: Why Generative AI Needs More Than Just Data
Stop Treating Context as an Afterthought: Design for it. Invest in it. Test it.
Let’s be clear: generative AI isn’t failing because the models are too simple, or because the code is buggy, or even because the underlying math is misunderstood. It’s failing—again and again—because we hand it a jigsaw puzzle with half the pieces missing and then marvel at the nonsense it produces. This isn’t a technical shortcoming; it’s a context cri…
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