1. Introduction
There is a widespread optimism surrounding artificial intelligence. A sense that every new model, every new version, every new “breakthrough” brings us closer to a world where code writes itself, productivity skyrockets, and human effort is reduced to a minimum. Yet beneath this surface lies a truth that is rarely discussed: the code produced by AI is becoming increasingly messy. Not because AI is “getting worse,” but because the world around it is being contaminated by its own mistakes.
AI has no judgment, no experience, no ability to distinguish right from wrong. It has only one mechanism: feedback. Just as humans need food to survive, AI needs information to function. And just as a human can survive on contaminated food-until the body eventually collapses-AI can continue to “operate” while feeding on incorrect data, until the quality of its reasoning collapses.
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