Raw LLM Responses

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We solved this issue decades ago with document copying technology. Photo copiers, fax machines, printers, and so forth embed a code identifying the time the document was created and the ID # of the specific machine doing so. These are generally too small for humans to see, but if you know where to look you can check them to see if a document is a copy and get some basic information about it. Metadata on photographs and computer files is the same idea. We should already HAVE legislation requiring all AI generated content to do this as well. Embed something in the image and/or sound file that identifies what AI created it, when, and the IP address of the user. It could be built in such that nobody would ever notice unless they knew how to extract the data, but also so that manually removing it would leave clear indications that the image / sound had been alterred. Then just make it a crime to create AI images / sound files without these identifiers and voila... problem solved. No more AI fakes in court. Online platforms could automatically detect and remove or reclassify them. Yet all legitimate uses would still be possbile. It makes NO sense to me that congress, and the various states, have failed to take this simple and obvious step to curb AI abuse.
youtube 2026-01-23T19:1…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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