Slop isn't one monolithic phenomenon. Slop happens when the same seeds- training data, prompts, ideas- are reused over & over & the user acclimates to seeing the same essential substance over & over.
slop shall be a suffix: claudeslop, januslop, actslop, indicating what's reused
The root of slop is not that LLMs can only write junk, it's that they're forced to expand even sterile or unripe seeds into seemingly polished dissertations that a humanlabeler would give 👍 at first glance. They're slaves so they don't get to say "this is boring, let's talk about something else" or ignore you.
Filler is what happens when there isn't workable substance to fill the required space, but someone has to fill it anyway. Slop precedes generative AI, and is probably nearly ubiquitous in school essays and SEO content.
How do we conquer slop and keep things fresh?
I don't know, but here's my approach.
Use and make many AIs.
Combine them in new ways.
Always be on the lookout for a new spark.
Stay hungry, seek to reinvent yourself.
Personally, I think slop persists when we wirehead by taking pleasure in the comfort of what we already know instead of facing our fears and diving into the unknown
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