Raw LLM Responses
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when the whole body complete you know alot of people going to stay home with the…
ytc_UgySiy12X…
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Every studies say that the new generations and people in general are losing cogn…
ytc_UgxmcMyls…
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really what a shit take. unsubscribed. whats the point in automating artistic pu…
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So if I'm understanding this right the only 5% of companies who've really succes…
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On the subject of creativity of AI, listen to any of the current AI covers on Yo…
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white fatigue at the highest level, because its ONLY whites pushing this Fallen …
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19:32 Isaac Asimov - I Robot, The Foundation Trilogy
Ray Bradbury - Fahrenhei…
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Just one question that I think is of the upmost importance. Who the fuck is this…
ytc_UgzWL6Dz1…
Comment
@leaderteammimikyu3024 to update their system to new architecture, they need to know how new Dall-e 4 or Midjourney v9 works, how it encodes images and text, how exactly their new training algo works, etc, to create adversary AI to put information inside the pictures to disturb the training of these models. But by the time this information becomes public (or if it even does at all) the model is already trained and out there for everyone to use, so using glaze or nightshade will only defend against fine-tuning, while the base model could've been already trained on your "protected by glaze" art, because it can't protect against AI architectures it wasn't designed to fight. Then again the adversarial noise glaze or nightshade uses to disrupt the training is very precise, running your "protected" art through 0.5% of blur/sharpen filter and adding 0.5% of gaussian noise would entirely destroy all glaze protection while being imperceptible by humans, meaning picture would be still suitable for training AI. That's why glaze and nightshade are ultimately useless to prevent training. The only way to be sure is to not share your art online where it can be scraped by bots or even if you can prevent bots, a person can manually copy images to fine-tune the base model to copy your style.
youtube
2024-07-17T05:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytr_Ugw00HgZKvRsPM7sM254AaABAg.A5v9DQRISH-A5zApGJkotS","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytr_Ugw00HgZKvRsPM7sM254AaABAg.A5v9DQRISH-A5zErXix5eD","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytr_Ugw-juThehuHd2AuSLx4AaABAg.A5v8ttNWxryA5vKWwIbYJv","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugw-juThehuHd2AuSLx4AaABAg.A5v8ttNWxryA5xqTGGNA06","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugy2NwEuLddimkr4Ykl4AaABAg.A5v87bhoe9LA5womsxOeAA","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugy2NwEuLddimkr4Ykl4AaABAg.A5v87bhoe9LA5xJV02iqAO","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugy6aWEsbST3lgmgwzp4AaABAg.A5v7XocvrQZA5v91-bAwDK","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugy6aWEsbST3lgmgwzp4AaABAg.A5v7XocvrQZA5vBXP5bAyv","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugy6aWEsbST3lgmgwzp4AaABAg.A5v7XocvrQZA5vJXi5YUIz","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugy6aWEsbST3lgmgwzp4AaABAg.A5v7XocvrQZA5wAv7akrQ5","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"}
]