Every individual user would have to be consistently paying attention to discussions outside their expertise and interest. Considering prior stories of LLM usage among multiple legal professionals, wherein the model repeatedly output the potential for errors/“hallucinations”, I highly doubt that will happen. Heck, part of the outcry to reintroduce my personally least useful model 4o was grounded in a preference for subjective agreeableness in the output.
The idea would/could be not intentional dissemination of missinformation, but purely financial. Models are expensive to run, hardware, rack space and power limited and making newer releases seem more robust subjectively can be a powerful incentive.
With prior models we already have seen quantization post release and it’s been a personal pet peeve of mine that this should be communicated via a changelog, with the router there is one more quite powerful, potentially even less transparent way for providers to put their thumb on the scale. For now, GPT-5 does very impressively in my limited use cases and testing, especially considering pricing, but the concern that this may (and past experience tells me likely) change soon enough remains.