A user can simply detect locally consistent but globally inconsistent errors inserted into synthetic media by randomly sampling pairs of passages to look for any contradictions
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Argument #f48e27d4 0 0 1
If it is true that...
A user can simply detect locally consistent but globally inconsistent errors inserted into synthetic media by randomly sampling pairs of passages to look for any contradictions 0 0 1Then it must be true that...
It is easier to create or detect locally consistent but globally inconsistent errors in synthetic media than it is to fix all the errors 0 0 1Mentions
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alexandershortt0•
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Related Propositions
Synthetic media creates realistic, self-consistent, fictional worlds which cannot be distinguished from real-world data 0 0 1With generative models, it will become entirely possible to close the loops on fabricated claims and their citations 0 0 1In trying to create a watermark for synthetic media, we need a system which ensures that there is always some tell-tale sign of it being fake 0 0 1Watermarking generated media with some tell-tale sign of it being fake allows users to manually check the legitimacy of the media 0 0 1Watermarking generated media with an error-ensuring code is an effective way to ensure its ability to be verified as generated 0 0 1Watermarking generated media with an error-ensuring code would fail to preserve the its truth or semantics 0 0 1A good method for watermarking synthetic media using an error-ensuring code is to insert errors which are locally consistent but globally inconsistent 0 0 1It is easier to create or detect locally consistent but globally inconsistent errors in synthetic media than it is to fix all the errors 0 0 1An attacker will need to work hard to repair a large corpus of synthetic media containing locally consistent but globally inconsistent errors 0 0 1An attacker looking to repair a large corpus of synthetic media containing locally consistent but globally inconsistent errors will only add more errors if they use the same generator 0 0 1