I think the problem is that humanity has a poor concept of truth. We think of most things as true or not true when much of our reality is uncertain due to fundamental limitations or because we often just don't know yet. During covid for example humanity collectively hallucinated the importance of disinfecting groceries for awhile.
To the extreme: if during covid someone would live completely off grid (no contact with anyone) would have greatly reduced infection risk, but I would have found the risk model unreasonable.
The problem with LLM-s is that they don't "model" what they are not capable off (the training set is what they know). So it is harder for them to say "I don't know". In a way they are like humans - I seen a lot of times humans preferring to say something rather than admitting they just don't know. It ss an interesting (philosophical) discussion how you can get (as a human or LLM) to the level of introspection required to determine if you know or don't know something.
Humans taught themselves not to hallucinate by changing their reward function. Experimentation and observation was valued over the experts of the time and pure philosophy, even over human-generated ideas.
I don't see any reason that wouldn't also work with LLMs. We rewarded them for next-token prediction without regard for truth, but now many variants are being trained or fine-tuned with rewards focused on truth and correct answers. Perplexity and xAI for example.
Is it? I thought RLHF was mostly focused on making them (1) generate text that looks like a conversation/chat/assistant (2) ensure alignment i.e. censor it (3) make them profusely apologize to set up a facade that makes them look like they care at all.
I don't think one can RLHF the truth because there's no concept of truth/falsehood anywhere in the process.
I reject this history.
I homeschooled my kids during covid due to uncertainty and even I didn't reach that level, and nor did anyone I knew in person.
A very tiny number who were egged on by some YouTubers did this, including one person I knew remotely. Unsurprisingly that person was based in SV.
If it's extremely important to wear gloves and keep sanitizing your hands after touching every part of the supermarket, it stands to reason that you'd want to sanitize all of the outside packaging that others touched with their diseased hands as soon as you brought it into your house. Otherwise, you'd be expected to sanitize your hands every time you touched those items again, even at home, right?
Of course, surface contact is actually a very minor avenue of infection, and pretty much limited to cases where someone has just sneezed or coughed on a surface that you are touching, and then putting your hand to your nose or maybe eyes or mouth soon after. So sanitizing groceries is essentially pointless, since it only slightly reduces an already very small risk.
We need to dispell the notion that the LLM "knows" the truth, or is "smart". It's just a fancy stochastic parrot. Whether it's responses reflect a truthful reality or a fantasy it made up is just luck, weighted by (but not constrained to) its training data. Emphasizing that everything is a hallucination does that. I purposefully want to reframe how the word is used and how we think about LLMs.