Yes. In my case, my particular worldview involves (i) indifferent to gender markers in text (I don't want my LLM to convert me to a female because I'm asking it to write a cover letter for a hairdresser/secretary/nurse role, for e.g.). I don't want my model to write it in AAVE if my name is a common african-american name. I don't want to get the best results only when I write as a middle-aged white man [1]. If I use the model for some decision making, I want it to be fair for subgroups [2], which is a reasonably objective metric [3].
The point I was trying to make was that certain NLP models (maybe these LLMs as well) might give better results if YOU speak to them as a middle aged white man.
To be very clear, I want ALL queries (I presume you mean LLM prompts) to be available to everyone.
Could you also explain what do you mean by people like me? Indians? NLP researchers? People in their thirties? Expatriates?
Will Grok really do any of those things? I would have guessed that RLHF would sort those things out even if it wasn't concerned with debiasing, but just about not making ridiculous mistakes.
These are what debiasing tasks are concerned with, more often than not. RLHF tuning depends greatly on the H part of it, and that data is probably proprietary. So, I guess time will tell. But if I were to hazard a guess based on the content of the announcement , I would say they couldn’t be bothered or couldn’t accomplish proper debiasing/rlhf tuning and therefore worded it so.