"The problem with LLMs is that you eventually run out of other people's work to steal"
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"The problem with LLMs is that you eventually run out of other people's work to steal"
This has breached containment spectacularly and I'm now having it explained back to me
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"The problem with LLMs is that you eventually run out of other people's work to steal"
@pikesley well said
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This has breached containment spectacularly and I'm now having it explained back to me
@pikesley [John Peel voice]: Coming up, it's Slop Ouroboros playing live in the studio. You won't find their new EP The RAM Wafers Are All Mine in shops anywhere...
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"The problem with LLMs is that you eventually run out of other people's work to steal"
@pikesley That was sublime. Thank you for that inversion of neoliberalism.
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"The problem with LLMs is that you eventually run out of other people's work to steal"
@pikesley Exactly? And then they may begin to make up their own "work" and that's potentially very dangerous to the human race.
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"The problem with LLMs is that you eventually run out of other people's work to steal"
The fact that one could substitute the acronym "LLM" with the word "artist" without the quote losing sense, is eeryly suggestive.
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"The problem with LLMs is that you eventually run out of other people's work to steal"
@pikesley and would "we" even be able to know the difference. Slop looks like slop.
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Using LLMs is the intellectual equivalent of sawing the branch you're sitting on.
Someone should explain this to my coworkers. I tried, it's like talking against a wall.
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"The problem with LLMs is that you eventually run out of other people's work to steal"
@pikesley see recursive pollution and model collapse. Eg https://berryvilleiml.com/2026/01/10/recursive-pollution-and-model-collapse-are-not-the-same/
But also see this paper arguing that collapse does not happen if you accumulate training data rather than replace old data with new data; instead, it converges towards a limited level of errors.
https://arxiv.org/pdf/2404.01413 -
This has breached containment spectacularly and I'm now having it explained back to me
@pikesley yes, it's also known as the "training data harvester" dark pattern.
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Using LLMs is the intellectual equivalent of sawing the branch you're sitting on.
@FediThing @pikesley I use the expression "poisoning the well of knowledge".
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This has breached containment spectacularly and I'm now having it explained back to me
Attracting a lot of r/iamverysmart types who clearly do not know the context of the quote
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Attracting a lot of r/iamverysmart types who clearly do not know the context of the quote
@pikesley I live in fear of the day that I miss some context, or reply to something where I didn't actually know the context and make myself look like an arse. How do these people sleep at night?!
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@pikesley [John Peel voice]: Coming up, it's Slop Ouroboros playing live in the studio. You won't find their new EP The RAM Wafers Are All Mine in shops anywhere...
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This has breached containment spectacularly and I'm now having it explained back to me
@pikesley AIsplaining?
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@pikesley [John Peel voice]: Coming up, it's Slop Ouroboros playing live in the studio. You won't find their new EP The RAM Wafers Are All Mine in shops anywhere...
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"The problem with LLMs is that you eventually run out of other people's work to steal"
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