Raw LLM Responses
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G
We'd better start getting the John Connor's ready right now. I have a lot of the…
ytc_UgyTc1WA1…
G
If there is anyone who I would want to lead the AI race is SAM !!!…
ytc_Ugzig2F_2…
G
Cool, but when are they going to start showing the hot, built and sexy male robo…
ytc_Ugz1aEuTP…
G
Robot : i want to see if it works on humans or not, gun 🔫 😂…
ytc_Ugy9CqRy7…
G
Breaking points is one step better then the AI slop. You guys are biased too the…
ytc_Ugy4l2Uym…
G
Not so fun fact: latest about an AI machine to mass produce products and it made…
ytc_UgyR23Eqj…
G
The Daily Mail, and to a lesser extend the Daily Express, The Star and The Sun a…
rdc_fwhg900
G
That's literally the opposite of lightening the load. AI allows us to make more …
ytr_UgwHKFf6E…
Comment
2:09 - I will admit that I don't exactly trust Stable Diffusion models for uniqueness, but as a person studying in AI, I will tell you now; most models cannot reproduce an artwork 1:1. That is a statistical improbability by design. AIs generalize knowledge, so unless its prone to overfitting and a lack of randomness exists, then it cannot ever produce 1:1 the same artwork that already exists. Go back to AI first principles for this: Precision and Recall. A high recall and low precision (for classification tasks) generally represents overfitting. What we want for the generative models is a high precision to what the user requests and a low recall so as to generalize the results. And fundamentally there is the problem: If a person prompts the AI very specifically for the features in their image - then the result is heavily biased to generate from a constrained world view. This is fundamentally a user problem: not an AI dataset problem.
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Viral AI Reaction
2023-01-01T05:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugx7xOIegGZs9L8OmuB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"resignation"},
{"id":"ytc_UgxSdWq_WC72gWjK6Rx4AaABAg","responsibility":"user","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwAuXmWqXkohyAlQTB4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwpCct-rqY9VXi0ETd4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx1RPILVomjLGZCS6d4AaABAg","responsibility":"none","reasoning":"mixed","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugw7Wfa4voobjZnONS54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxCb9qGXf7_PYjl05t4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyTZuwI0eYCFY_kJSN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxRIwYk-ynqhEBbMtN4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyfTrWYm153_8PIHDF4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"}
]