Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.
Carl T. Bergstrom, 13 February 2023:
Meta. OpenAI. Google.
Your AI chatbot is not hallucinating.
It’s bullshitting.
It’s bullshitting, because that’s what you designed it to do. You designed it to generate seemingly authoritative text “with a blatant disregard for truth and logical coherence,” i.e., to bullshit.
I confess myself a bit baffled by people who act like “how to interact with ChatGPT” is a useful classroom skill. It’s not a word processor or a spreadsheet; it doesn’t have documented, well-defined, reproducible behaviors. No, it’s not remotely analogous to a calculator. Calculators are built to be right, not to sound convincing. It’s a bullshit fountain. Stop acting like you’re a waterbender making emotive shapes by expressing your will in the medium of liquid bullshit. The lesson one needs about a bullshit fountain is not to swim in it.
Imagine still not realizing what a useful skill bullshitting is. Literally, hundreds of millions of people are professional bullshitters. So many people go do bullshit every day, all day. Having a machine that can produce the same or better bullshit than them frees them from suffering through doing all that bullshit. I can’t think of something that is more bullshit than pretending like there is no benefit from automating the bullshit out of our lives.
