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The problem with model collapse is reinforcing means at the costs of the edges of your distribution curve, particularly on repeat. One of the things that is be
by kromem 3y ago
The problem with model collapse is reinforcing means at the costs of the edges of your distribution curve, particularly on repeat.
One of the things that is being overlooked is that offsetting the job loss from AI replacing mean work is that there's going to be new markets for edge case creation and curation.
Jackson Pollock and Hunter S Thompson for the AI generation with a primary audience of AI vs humans, sponsored by large tech and data companies like the new Renaissance Vatican.
- CuriouslyC 3y agoThat problem only exists as long as benchmarks don't sample problem space enough, and it can be quickly rectified once identified.
- kromem 3y agoThe industry has a much bigger issue with benchmarks and Goodhart's Law right now as it is. I'm skeptical benchmarks are the solution here in turn.