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I think you are conflating how models are used by services like Spotify with what they can do. I run some models locally. These are going to become more powerful.

Your confident prediction of the future limitations of models sounds like what the chess and go masters said.



I'm not conflating anything. I am just answering the question of why slop can be the only outcome.

On a Spotify-level scale, web-level scale, slop can be the only outcome.


The question I asked was specifically about locally generated content.


But it's in the context of an alternative to a Spotify product, right? With millions of users.

Exactly where the slop is generated, or by whom, is essentially irrelevant: at scale, slop is the only outcome from these tools. It always will be.

And presumably in a resource-limited environment, slop quality is even more likely.


Billions of users, with increasingly powerfully hardware, locally executing models that better understand the world and human psychology.




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