AI Hallucination: When the Bot Makes Stuff Up

You ask the AI a question. It answers fast. Fast like your cousin on WhatsApp who tells you about a side hustle that doesn’t exist. It sounds real. It feels real. But it’s not.

That’s a hallucination. The model is not lying. It’s not trying to fool you. It’s just filling the gap with the most likely sounding answer. It’s guessing. Badly.

Think about the kitchen. You’re making arroz con pollo. You run out of achiote. You grab the red jar on the top shelf. It looks the same. Smells close enough. You throw it in. The dish comes out wrong. You didn’t mean to ruin it. You just reached for the wrong thing because it was close.

The AI does that. It grabs the nearest-sounding words. Not the facts. Not the truth. The nearest-sounding words.

So why does it happen? The model was trained to predict the next word. Not to check sources. Not to say “I don’t know.” It was trained to sound like it knows.

What should you do? Don’t treat the AI like a person. Treat it like a really fast intern who has no memory and a terrible phone book. Ask it to cite. Ask it to link. If it can’t, walk away.

The model is a parrot with a big vocabulary. Not a scholar. Not a source.

One tip: always ask it to show its work. If it can’t show it, it’s probably making it up. And that’s not a bug. That’s how it was built.

Why this matters for us: