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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.

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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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