Raw LLM Responses
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G
@thewannabecritic7490 well, my clumsy statement meant to say .. art doesn't hav…
ytr_UgwqgyAZx…
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Wont the AI just build its own software? You'd need to pay for APIs and cloud st…
rdc_oh36k8s
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It saddens me to hear this is the perspective of some people. He ridiculed peopl…
ytc_Ugzb2xnH3…
G
I have an infa-red camera that can see like daylight .why do they not use them. …
ytc_UgwxBsy9i…
G
Thank you @AISpecies for the interesting video, however I'm not sure about using…
ytc_UgzHLdGH6…
G
How many of you idiots still think self driving semis will make truck drivers ob…
ytc_UgzbkDzBJ…
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Always thought provoking videos! VERY WELL DONE. we need to make sure we don't a…
ytc_UgzJgsbPl…
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I think the best test to recognize a robot as a person is if it is non-prescript…
ytc_Uggc9eL6N…
Comment
Adversarial networks are how deep fakes get better.
That's not a prediction; that is the actual mechanism for many "AI models." Anything with GAN in the title or description means there's one network doing fake stuff to match examples of real stuff, and another network trying to spot the fakes.
If this award-winning discriminator model is the environment that deep-fake networks will be graded on, they *will* become resilient against it.
reddit
AI Harm Incident
1651348644.0
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_i6scwgk","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"rdc_i6rjidd","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"rdc_i6todr6","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"rdc_i6tr3oj","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"rdc_i6rjykd","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]