and ironically, LLMs could be great for this! recognizing what’s ads and what’s content, what’s slop and what’s high-effort, wading through the cesspool of feeds and dark patterns to find the stuff that’s relevant to you.
unfortunately, the money is in using LLMs to generate more slop and make things even worse, not make it better.
I could believe it for advertising versus content (to an extent), but I think it would not be useful in ‘slop’ versus content, for the same reason it’s output is slop. If an AI approach can detect slop, then a related AI approach can generate better slop that it could no longer detect.
But it could also make advertising more baked into a content that is hard to extricate.
and ironically, LLMs could be great for this! recognizing what’s ads and what’s content, what’s slop and what’s high-effort, wading through the cesspool of feeds and dark patterns to find the stuff that’s relevant to you.
unfortunately, the money is in using LLMs to generate more slop and make things even worse, not make it better.
I could believe it for advertising versus content (to an extent), but I think it would not be useful in ‘slop’ versus content, for the same reason it’s output is slop. If an AI approach can detect slop, then a related AI approach can generate better slop that it could no longer detect.
But it could also make advertising more baked into a content that is hard to extricate.