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this post was submitted on 16 May 2025
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Joke's on you, LLMs already give us bad information
Sure, but unintentionally. I heard about a guy whose small business (which is just him) recently had someone call in, furious because ChatGPT told them that he was having a sale that she couldn't find. The customer didn't believe him when he said that the promotion didn't exist. Once someone decides to leverage that, and make a sufficiently-popular AI model start giving bad information on purpose, things will escalate.
Even now, I think Elon could put a small company out of business if he wanted to, just by making Grok claim that its owner was a pedophile or something.
"Unintentionally" is the wrong word, because it attributes the intent to the model rather than the people who designed it.
Hallucinations are not an accidental side effect, they are the inevitable result of building a multidimensional map of human language use. People hallucinate, lie, dissemble, write fiction, misrepresent reality, etc. Obviously a system that is designed to map out a human-sounding path from a given system prompt to a particular query is going to take those same shortcuts that people used in its training data.
Unintentionally is the right word because the people who designed it did not intend for it to be bad information. They chose an approach that resulted in bad information because of the data they chose to train and the steps that they took throughout the process.
Incorrect. The people who designed it did not set out with a goal of producing a bot that reguritates true information. If that's what they wanted they'd never have used a neural network architecture in the first place.