If you wouldn’t write a paper using only one source, you shouldn’t rely on only one AI model either.
AI can be incredibly helpful for studying, outlining, tutoring, and editing—but it has a well-known weakness: hallucinations. That’s when an AI produces information that sounds confident and polished, but is wrong, invented, or unsupported.
For students, that’s not just annoying. It can lead to:
incorrect homework solutions
misleading study notes
fake citations in essays
misunderstood concepts (the worst kind of “learning”)
The simplest way to reduce that risk is also one of the most underrated study skills of the AI era:
Use more than one AI. Compare outputs. Force verification.