The Accidental Oracle

Plot twist: Those patterns your AI learned?

They're trying to tell you something.

Anthropic researchers discovered why hallucinations matter.

AI learns from us. Our documents. Our conversations. Our wishes.

When it hallucinates, it shows what patterns appear most often. What people ask for repeatedly.

What usually exists.

Think about it...

If your chatbot keeps inventing the same fake feature, that means hundreds of customers probably asked for it.

The pattern is so strong, the AI thinks it must be real.

The lies are actually data.

Picture this: A software company tracks every lie their chatbot tells.

Three fake features keep appearing. Same three, every time.

Why?

Because the AI learned these features usually exist in similar products. Customers expect them.

The pattern is screaming at you.

Build those features.

Watch what happens.

Your AI is like a focus group that doesn't know it's in a focus group.

It absorbed millions of customer interactions. Now it's showing you what normal looks like. What people expect.

What's missing.

The machine can't tell truth from fiction.

But it can tell you what patterns it sees most often.

Check your chatbot logs.

What does it keep making up?

That's your customers talking.

Through the machine.