

I’m having trouble parsing this. Looking at the paper (https://ojs.aaai.org/index.php/ICWSM/article/view/42688) it looks like they’re using the LLMs to determine if a video aligns with one of the three categories they were testing this behavior against (cooking, fitness, and sports betting). They decided to go with that rather than hashtag filtering because hashtag use on the platform isn’t moderated. So, unrelated hashtags can be used on a video, some don’t have hashtags, and none of it is standardized. Categorizing things is something that LLMs are pretty damn good at, actually. Mostly because we actually understand how they do that (localization in high-dimension vector DBs)
Like, they’re not using the LLM to interpret their results, man. This is a clear centaur, not a reverse-centaur. The tool is being used by those who understand it, not being made to make decisions that it has no business making.



Yes, there are plenty of people mature enough to separate the atrocities committed by an MC and their enjoyment of said MC
The issue is the ones who aren’t. And there are a lot of them