Raw LLM Responses

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G LLMs are not sentient. Calling their process of amalgamation "learning" or "trai… ytr_UgyJ7pRLb… G What's up with the blonde A.I robot flashing those Baphomet hand gestures twice … ytc_UgzVzPupT… G Because its stealing not only resources, but unique art styles that belong to ot… ytr_UgzV6FmuY… G if theres anything i know about America, they'll get a slap on the wrist, a fine… ytc_UgybR10bT… G Sasti popularity sasta nasha effect..clearly depicting on that physician face...… ytc_UgzWBkD9t… G After the election if Harris wins she should just point blank make examples of I… rdc_luaqyeq G I think the analogy doesn’t really work because scripted content can be really g… ytc_UgxnTtfVx… G By all means use your obvious skill and talent to create images manually. I don'… ytc_UgyWtfFQ8…
Comment
Imagine the following: A neural network which selects memorable pictures out of a large set of pictures. This model is trained by user choosen "memorable moments" in existing photos. The data shows a bias towards a ethnicity when people are in the pictures. Would you synthetically alter that dataset to remove that bias or would you accept the fact that this bias is there due to human statistically significant preference? IMHO you should keep the dataset as it is as it´s just a representation of the reality and will ultimately deliver better predictions for the users.
youtube AI Bias 2018-12-23T16:3… ♥ 5
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyunclear
Emotionmixed
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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