When German journalist Martin Bernklautyped his name and location into Microsoft’s Copilot to see how his articles would be picked up by the chatbot, the answers horrified him. Copilot’s results asserted that Bernklau was an escapee from a psychiatric institution, a convicted child abuser, and a conman preying on widowers. For years, Bernklau had served as a courts reporter and the AI chatbot had falsely blamed him for the crimes whose trials he had covered.
The accusations against Bernklau weren’t true, of course, and are examples of generative AI’s “hallucinations.” These are inaccurate or nonsensical responses to a prompt provided by the user, and they’re alarmingly common. Anyone attempting to use AI should always proceed with great caution, because information from such systems needs validation and verification by humans before it can be trusted.
But why did Copilot hallucinate these terrible and false accusations?
I think it getting tripped up on riddles that people often fail or it not getting factual things correct isn’t as important for “believability”, which is probably a word closer to what I meant than “coherence.”
No one was worried about misinformation coming from r/SubredditSimulator, for example, because Marcov chains have much much less believability. “Just guessing words” is a bit of a over-simplification for neural nets, which are a powerful technology even if the utility of turning it towards language is debatable.
And if LLM’s weren’t so believable we wouldn’t be having so many discussions about the misinformation or misuse they could cause. I don’t think we’re disagreeing I’m just trying to add more detail to your “each word is generated independently” quote, which is patently wrong and detracts from your overall point.