Ah the fun of known knowns, known unknowns, unknown unknowns, and weak negation. https://blog.research.google/2024/01/can-large-language-models-identify-and.ht

Ah the fun of known knowns, known unknowns, unknown unknowns, and weak negation. https://blog.research.google/2024/01/can-large-language-models-identify-and.html https://blog.research.google/2024/01/can-large-language-mode... Negation in the training data, exhaustion, or unknowable unknowns like future events is about an LLM will ever be able to say it "doesn't know" reliably. LLMs have no concept of truth or correctness really, they are just probabilistic appending to output to match learned ideal patterns.