I'm interested in exploring the intersection between people who have mostly avoided using LLMs and people who have embraced them, compared to the group who think they should be be labeled "AI" vs those who think it's OK to label them that
Which of these do you fit into?
Until I meet a LLM that is capable of responding "I don't know" when asked about something missing in its training instead of "hallucinating". The word "intelligence" has certain foundational implications that are missing here. This isn't to say it can't be made into a useful tool, just that it looks so much like intelligence that *calling* it intelligence seems intentionally misleading.
I dip my foot back in every time a new model comes along - basic factual questions - and have yet to see an "I don't know".
@Biggles GPT-4 is pretty good at saying when it doesn't know something these days - hallucinations can still slip through but they are a lot less common https://chat.openai.com/share/f75295f2-3252-4841-a532-dcd6b62418b6