<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>yazaddaruvala</author><text>&amp;gt; That’s going to be hard to argue. Where are the copies?&lt;p&gt;In fairness, Diffusion is arguably a very complex entropy coding similar to Arithmetic&amp;#x2F;Huffman coding.&lt;p&gt;Given that copyright is protectable even on compressed&amp;#x2F;encrypted files, it seems fair that the “container of compressed bytes” (in this case the Diffusion model) does “contain” the original images no differently than a compressed folder of images contains the original images.&lt;p&gt;A lawyer&amp;#x2F;researcher would likely win this case if they re-create 90%ish of a single input image from the diffusion model with text input.</text><parent_chain><item><author>dr_dshiv</author><text>“Sta­ble Dif­fu­sion con­tains unau­tho­rized copies of mil­lions—and pos­si­bly bil­lions—of copy­righted images.”&lt;p&gt;That’s going to be hard to argue. Where are the copies?&lt;p&gt;“Hav­ing copied the five bil­lion images—with­out the con­sent of the orig­i­nal artists—Sta­ble Dif­fu­sion relies on a math­e­mat­i­cal process called dif­fu­sion to store com­pressed copies of these train­ing images, which in turn are recom­bined to derive other images. It is, in short, a 21st-cen­tury col­lage tool.“&lt;p&gt;“Diffu­sion is a way for an AI pro­gram to fig­ure out how to recon­struct a copy of the train­ing data through denois­ing. Because this is so, in copy­right terms it’s no dif­fer­ent from an MP3 or JPEG—a way of stor­ing a com­pressed copy of cer­tain dig­i­tal data.”&lt;p&gt;The examples of training diffusion (eg, reconstructing a picture out of noise) will be core to their argument in court. Certainly during training the goal is to reconstruct original images out of noise. But, do they exist in SD as copies? Idk</text></item></parent_chain></comment><story><title>We’ve filed a law­suit chal­leng­ing Sta­ble Dif­fu­sion</title><url>https://stablediffusionlitigation.com/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>akjetma</author><text>I don&amp;#x27;t think you have to reproduce an entire original work to demonstrate copyright violation. Think about sampling in hip hop for example. A 2 second sample, distorted, re-pitched, etc. can be grounds for a copyright violation.</text><parent_chain><item><author>dr_dshiv</author><text>“Sta­ble Dif­fu­sion con­tains unau­tho­rized copies of mil­lions—and pos­si­bly bil­lions—of copy­righted images.”&lt;p&gt;That’s going to be hard to argue. Where are the copies?&lt;p&gt;“Hav­ing copied the five bil­lion images—with­out the con­sent of the orig­i­nal artists—Sta­ble Dif­fu­sion relies on a math­e­mat­i­cal process called dif­fu­sion to store com­pressed copies of these train­ing images, which in turn are recom­bined to derive other images. It is, in short, a 21st-cen­tury col­lage tool.“&lt;p&gt;“Diffu­sion is a way for an AI pro­gram to fig­ure out how to recon­struct a copy of the train­ing data through denois­ing. Because this is so, in copy­right terms it’s no dif­fer­ent from an MP3 or JPEG—a way of stor­ing a com­pressed copy of cer­tain dig­i­tal data.”&lt;p&gt;The examples of training diffusion (eg, reconstructing a picture out of noise) will be core to their argument in court. Certainly during training the goal is to reconstruct original images out of noise. But, do they exist in SD as copies? Idk</text></item></parent_chain></comment><story><title>We’ve filed a law­suit chal­leng­ing Sta­ble Dif­fu­sion</title><url>https://stablediffusionlitigation.com/</url></story>