COMPLAINT filed with Jury Demand against Stability AI, Inc. Getty Images (US), Inc. v. Stability AI, Inc. (1:23-cv-00135) District Court, D. Delaware
https://www.courtlistener.com/docket/66788385/getty-images-us-inc-v-stability-ai-inc/
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- Feb 2023
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storage.courtlistener.com storage.courtlistener.com
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arxiv.org arxiv.org
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Certainly it would not be possible if theLLM were doing nothing more than cutting-and-pasting fragments of text from its training setand assembling them into a response. But this isnot what an LLM does. Rather, an LLM mod-els a distribution that is unimaginably complex,and allows users and applications to sample fromthat distribution.
LLMs are not cut and paste; the matrix of token-following-token probabilities are "unimaginably complex"
I wonder how this fact will work its way into the LLM copyright cases that have been filed. Is this enough to make a the LLM output a "derivative work"?
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