Raw LLM Responses
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Like it or not there is a presence here and they are here to stay, we could you …
ytc_UgxSHRV0Z…
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Mark Rober showed how unsafe Teslas are compared to other self driving cars. The…
ytc_UgxBTyKjp…
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Crazy that you didn't believe in souls before AI. Were you really that bad of a …
ytr_UgyL2lCo4…
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Right? The way I see it any kid talking to an AI bot for a friend or therapist a…
ytr_Ugzsel39W…
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AI can hallucinate, be hacked, social engineered more than humans can. One tempo…
ytc_UgzHTGBB6…
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I understand concerns about AI development, but think that it is inevitable. Aut…
ytc_UgygnhFMf…
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I dont buy this "AI" replacing everyone BS, perhaps at some point it will, but …
ytc_UgyjeGmg2…
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How do you scale if your intelligence is in the shelving system? Scaling = more…
ytr_UgzoPMpOl…
Comment
let me give you a reason due to which your entire case collapses. Technically (e.g., Bayesian Machine Learning) it is possible to factor in both, the sample itself with its corresponding likelihood. Then, you could have your model on purposely rejecting high-likelihood samples for those with less-likelihood which are still related to the question in cause/to whatever you want to solve.
Thus, this argument is easily refutable...
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AI Jobs
2026-04-13T15:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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