For text classification? They might. There’s a million things they could be using. I’ve definitely seen just throwing ChatGPT at text and asking it to generate a label for tagging and classification, but its much cheaper to use fine tuned Roberta or some other encoder-only model. Both are LLMs using a transformer architecture, just one is more what we’re familiar with the other is more meant for text classification tasks.

ah, missed the voice recordings part, I can see an LLM for annotating those. I meant to emphasise this is separate from the LLM assistant and coding models that are the most visible to consumers right now.

Fyi, this is probably specialized models doing domain specific analysis, not a generative image or text model. I doubt you could find tune it enough on literature to automagically classify proteins.

That sounds like something you should do with content moderation rather than technologically.

There are also world politics communities, that explicitly ban US and other global north news. There are also country specific news communities as well. That’s kind of what having multiple communities is for.

If people aren’t willing to subscribe to those communities, they’re likely less willing to use a whole different lemmy instance.