Raw LLM Responses
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G
But when it comes to unmanned weapons systems, it is also transforming the battl…
ytc_UgwaRMioH…
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As AI developers, look after yourselves. Don’t replicate or mirror yourselves in…
ytc_UgzkkOrJ2…
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The AI is not to blame as it is God created. Youtube is not to blame as it is a …
ytc_Ugz83EZlO…
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Defining the gamification rules between nations for AI regulation will fail if …
ytc_UgwV6vIel…
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They shouldn't be using "facial recognition" at all, other than for high profile…
ytc_UgyMiAhNI…
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Anything that does physical labor. AI may be good, but robotics is still in the …
rdc_k9lvf2d
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All the promises about AI breakthroughs in medicine and climate research are sti…
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I think even if they AI it's unable to replace workers or considerably make work…
ytc_Ugw5tq0oW…
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"}
]