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Assume free-associations = hallucinations. Assume hallucinations are exactly what makes LLMs useful and your question can be rephrased as "Can you list some exa
by bongodongobob 3y ago
Assume free-associations = hallucinations. Assume hallucinations are exactly what makes LLMs useful and your question can be rephrased as "Can you list some examples where LLMs were useful to you?"
- ec109685 3y agoHallucinations are lies. So not the same thing.
- bongodongobob 3y agoI'm using hallucination to mean "not exactly the thing", not outright lying. So maybe the "truth" is "My socks are wet." A hallucination could be "My socks are damp."
- littlestymaar 3y agoAll lies aren't useless, some can be insightful even when blatantly wrong in themselves (for instance: taken literally every scientific model is a lie). I can definitely see how an LLM hallucinating can helps fostering creativity (the same way psychedelics can), even if all they say is bullshit.
- malux85 3y agoHallucinations are not always lies, they are more like a transformation in the abstraction space.
- throwup238 3y agoThat is some weapons grade spin :-)
- Teleoflexuous 3y agoFor LLM to lie it would need to know the truth. That's an incredible level of anthropomorphization.
- HeatrayEnjoyer 3y agoLies require intent. I can ask a model to lie and it will provide info it knows is inaccurate, and can provide the true statement if requested. Hallucinations are inaccuracies it doesn't realize are inaccurate.
- firewolf34 3y agoIs not the purpose of a model to interpolate between two points? This is the underlying basis of "hallucinations" (when that works out /not/ in our favour) or "prediction" (when it does). So it's a matter of semantics and a bit of overuse of the term "hallucination". But the model would be useless as nothing more than a search engine if it were to just regurgitate it's training data verbatim.