people need to define what "understand" means before they argue about it. example, I as human do not understand what: "The first warning was about scale itself. Bender and Gebru argued that training ever-larger models on ever-larger scrapes of the internet would produce systems that appeared fluent but had no actual understanding of language," even means outside some circular folk definition of "understand." what does it mean operationally if llm fluency is lacking in "understanding?" if the fluency is deep, context adaptive and general or at least very broad, where is the functional deficit? with regard to affirming bias or median opinion this is probably true with regard to one shot prompts but the the extent rhlf does not constrain the llm to a point of view and to the extent it can adapt its "fluency" to user inputs llms are perfectly capable of generating niche ideological content. Rhlf to the extent it constrains this constrains user freedom.