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One AI mistake changed the way I use AI forever.
A few months ago, I was researching an obscure blockchain project that had quietly shut down years ago.
I asked an AI for the founder's old interviews.
It instantly gave me names, podcast appearances, publication dates, even direct quotes.
Everything looked perfect.
The problem?
None of it existed.
Not the podcasts.
Not the interviews.
Not even some of the people it claimed had interviewed the founder.
What shocked me wasn't that it was wrong.
It was how detailed the lie was.
The fake information came with confidence, context, and enough believable details that I spent almost an hour trying to verify it before realizing I was chasing ghosts.
That experience taught me something important:
The most dangerous AI hallucinations aren't the obvious ones.
They're the answers that look researched.
The ones wrapped in just enough truth to make you stop questioning them.
Ever since then, I treat AI the same way I'd treat advice from a very smart stranger on the internet:
Useful.
Fast.
Often brilliant.
But never above verification.
Curious what everyone else's biggest AI hallucination was. @RallyOnChain
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