Raw LLM Responses

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I don't think that's quite how it works. ChatGPT cannot spit out its training data verbatim (Caveat, it CAN but only in the cases where the same text appears so many times it becomes statistically significant. Like for example if you ask ChatGPT about the three laws of thermodynamics, the amount of times they must've been mentioned means it can pretty much repeat then verbatim because verbatim they appeared that many times, but in practical terms something being IN the training data doesn't mean ChatGPT can say it back, as it doesn't store information in the same way a database would), the entire point of LLMs is that they can *generate* (where the name Generative AI comes from) brand new content not present in or remixed from their training data. Hell, the GPT model isn't even deterministic, and the amount of obfuscation in encoding meaning into number matrices would mean that your data would be thoroughly mixed it'd be unrecoverable. ChatGPT is one of the greatest databases of the planet from whom we can't know anything, because it's like trying to trace from what ocean water comes from by testing the raindrops, that water's molecules I'm sure are still there but the water itself is long gone.
youtube AI Moral Status 2025-06-01T04:4…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningmixed
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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