Raw LLM Responses
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G
Alternatively, concentrate on making a really realistic robot, and a voiceover a…
ytc_UgxxCFSwE…
G
I think youre being a bit harsh honestly.. Ive been drawing, painting and creati…
ytc_UgysyMX1Z…
G
@MrNote-lz7lhTry rage baiting better next time. Artists obviously do put their …
ytr_UgwYm6sVE…
G
Any AI that you have to keep reminding them of rules is an idiot AI...…
ytc_UgxajwD1_…
G
Talk is therapy.
Always on gadgets and Ai is one of the cause people are mentall…
ytc_UgxcD-YHw…
G
Why are we even allowing AI to progress and be implemented in this way? We shoul…
ytc_Ugw10xhCN…
G
If AI World comes to its existence, don't we think it allow Human to do just the…
ytc_UgysrOheD…
G
AI in the medical field will, for sure, send you to Jesus. A computer glitch wil…
ytc_UgzxuKH0f…
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"}
]