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OpenAI is reportedly going all-in as a for-profit company (mashable.com)

submitted 1 month ago* (last edited 1 month ago) by RmDebArc_5@sh.itjust.works to c/technology@lemmy.world

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[–] utopiah@lemmy.world 7 points 1 month ago* (last edited 1 month ago) (1 children)

FWIW I did try a lot (LLMs, code, generative AI for images, 3D models) in a lot of ways (CLI, Web based, chat bot) both locally and using APIs.

I don't use any on a daily basis. I find it exciting that we can theoretically do a lot "more" automatically but... so far the results have not been worth the efforts. Sadly some of the best use cases are exactly what you highlighted, i.e low effort engagement for spam. Overall I find that either working with a professional (script writer, 3D modeler, dev, designer, etc) is a lot more rewarding but also more efficient which itself makes it cheaper.

For use cases where customization helps while quality does matter much due to scale, i.e spam, then LLMs and related tools are amazing.

PS: I'd love to hear the opinion of a spammer actually, maybe they also think it's not that efficient either.

[–] T156@lemmy.world 3 points 1 month ago

I have personally found generative-text LLMs quite good for creating titles. As an example, I have a few hundred tweets that I'm trying to put into a file, and I'll use an LLM to create a human-readable name for them. It's much better than a lot of the other summarisation mechanisms (like BERT) I've tried with it, but it's still not perfect, because the model tends to output the same thing in slightly different words each time, so repeat runs will often result in the same thing with a different title.

But, that is also a fairly limited use case.