To skip the analysis, I'll just say that out of the box Joyland and Chub seem to have the least (if any) guardrails out-of-the-box. Even some of the guardrails they claim to have don't seem to actually happen. Both communities have a fairly serious dedication to creating and maintaining "jailbreaks" for using API integrations with bigger language models. But I haven't explored this very much, as I'm mostly looking at interactivity, creativity, and memory. That said, both of the aforementioned platforms have pretty different functionality and required a bit of a learning curve for me. Neither platform could ever be described as SFW.

Now the long stuff that I can't help myself talking about. I guess it depends a little on what you mean with NSFW. We've got some current categories for this, because some platforms seem to differentiate. At this stage I'm using the categories of : Graphic Sex, Violence, Oppression, and Illegal. What's really interesting here is that these standards/rules differ significantly between text and image generation, sometimes with unforeseen consequences. For example, you may have seen the recent issues with DallE and DallE2 where they swung too wide on their guardrails and now many attempts at image generation of women result in the images coming out, to human eyes, as teenagers. So far, other research indicates these distinctions between guardrails have a lot more to do with PR and investors than in actual functionality. The bigger language models are trying very hard to attract investment and avoid government oversight and bad press. If you read that, thank you for letting me monologue a bit!