That’s the same theme of a reply I made yesterday. I read the article and might have even boosted it myself because as a fediverse citizen, I’m concerned about any government agency seizing an instance like this. The “well known racist” claim is demonstrably false, because I still don’t know who they are talking about nor would I know the person behind a username.
I think a human might consider the meaning about what is being said whereas an LLM is only going to consider what token is the best one to use next. Humans might not be infallible, but they are presently better at detecting obvious BS that would slip undetected past an AI.
Maybe this is an opportunity we haven’t considered. This is the chance to create a Turing CAPTCHA Test. We can’t use Glorbo to do so, because it has been written, but perhaps it makes sense that there is a nonsensical code phrase people can use to identify AIs, both with markers intentionally added to LLM training models, buried in articles written by human authors, and a challenge/response which is never written down and only passed verbally through real human-human interactions.
Grandview seemed to do the best in clearly identifying the character 0. Is it an O, 0, I, l, or 1? Even without an example of O clearly visible in the sample text, the shape of 0 was very clear and seems like it should stand apart. Not the only reason to select a font, but it might be important to some.
I can relate to that. It usually isn’t a coin flip for me though. I’ll align with some technology over another because I truly can see an advantage. That technology might be the underdog from the beginning. Consider that we’re evaluating Firefish vs. Lemmy vs. Kbin whereas all of them combined are the underdog for certain more well established social forums. I engage with all three (and others still), because I don’t know the future.