Is uncensored a selling point? What do people use uncensored Grok for (like, real use cases) that they can't or won't use other LLMs for? Literally the only thing I can think of is generating bad porn of unconsenting people.
I mean absolutely read any thread about Fabel and it's fill with people complaining about how it instantly downgrades or refuses if anything has CVE in the name.
Other then that there is the whole alignment issue. Models that are 'nerfed' in just about any manner tend to exhibit reduced performance is seemingly unrelated areas.
That said Grok doesn't appear to be close enough to the frontier for that to matter. Maybe if they catch up it will.
Thanks for the reply. I only use local/open models, and don't use them for security work, so I don't have much exposure to frontier alignment and Fable/Mythos stuff beyond what I read from others here on HN.
> What do people use uncensored Grok for (like, real use cases) that they can't or won't use other LLMs for? Literally the only thing I can think of is generating bad porn of unconsenting people
untrue. There's a full thread about it: https://news.ycombinator.com/item?id=48837162 - but as much as I love Claude products, nothing's more aggravating than it refusing to help me diagnose a stack trace because it "violates Anthopic policy".
I don't remember online discourses on filter avoidance for Grok to be any different from typical ones, except that it allegedly have tendency to take porn-biased interpretations of prompts, I think the "uncensored" pitch they had for a while was pure marketing in the end.
Was that actually benchmarked and compared, or was that some British activist group insisting? I thought it was just the latter.
There is/was the official bot on Twitter that you can tag with a prompt, like "@grok put this spacesuit on a horse on a moon", that's not equal to being uncensored.
