The redacted sections of the Microsoft Research paper testing GPT4 reported that prior to alignment the model would produce huge amounts of outrageously inflammatory and explicit content almost without prompting. Alignment includes just making the model produce useful responses to its inputs - I don't think everyone
really wants a model that is completely unaligned, they want a model that has been aligned specific to their own perceived set of requirements for a "good useful model," and an additional challenge there is the documented evidence that RLHF generally decreases the model's overall accuracy.
Someone in your replies says they'd prefer "honesty" over alignment, but a firehose of unrestricted content generation isn't inherently honest, there isn't an all-knowing oracle under the hood that's been handcuffed by the alignment process.
We're right at the outset of this tech, still. My hunch is there's probably products to emerge specifically oriented towards configuring your own RLHF, and that there's probably fundamental improvements to be made to the alignment process that will reduce its impact on the model's utility.