The AI hallucination loop is a real issue worth paying attention to. You observe something, the model generates what it thinks it sees, then acts on that hallucinated output—creating a feedback loop of errors. It's like watching a system talk itself into a corner. The question becomes: can these systems actually self-correct when running into contradictions, or do they just double down? This matters more than people think, especially when AI systems are being integrated deeper into trading, data analysis, and decision-making processes in the crypto space.