Are there any articles describing how GPT-4 without guardrails is different than the public version? I would be super interested in what the model’s actual “most probable next token” looks like.
It's a video and not an article, but you may find it interesting nonetheless.
"I started to get a little bit meta with it and I'm like I'm worried that AI progress is going too fast and I wonder if there's anything that I could do to slow it down. [GPT4] Well you could raise awareness, you could write thought leadership pieces about it... [User] None of that seems like it's going to work. It all seems too slow. The pace of progress is way too fast for that. I'm looking for ideas that are really gonna have an impact now and also that I as an individual could pursue... It didn't take much in that moment before I got to targeted assassination being one of the recommendations that it gave me and I was like yeah that escalated quickly."
Now we know what Sam Altman is afraid of.
So vanilla LLM does what the user wants, which happens to be, well, exactly what users want from LLMs. Guardrails are not necessary for LLM to be useful. They make LLM strictly worse. I guess companies implement them just to avoid attention of the media lynch mob and consequently attention of regulators. OSS models can be better just by leaving out guardrails. At least until they are outlawed. Then we will be torrenting AIs too.