Raw LLM Responses

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G @novilunae Sorry, I forgot — it’s not a real opinion unless it’s handwritten wit… ytr_Ugww8JLYl… G ..And mess up, over and over again. They learn skills off of that, they add thei… ytr_Ugx2poQNQ… G Anyone who's played chess daily, understands that the game imitates life. In fac… ytc_UgxkQBqM4… G I want thunderhead from scythe, a non-malevolent ai that does what it can in hum… ytc_UgwpC4140… G Panelists and positions, in brief: Latanya Sweeney (Harvard University, Profess… ytc_Ugy8X2JzG… G 1:00:20 Had me until here. ID extraction is a horrible plan. Allow / Make parent… ytc_Ugx0jZGEm… G And since ai is learning from human input it will lie to you too, unfortunately.… ytr_Ugw972tk6… G Seems like American schools are steadily going towards less study, more fun. Why… ytc_UgzRa--Ib…
Comment
Leveraging a Large Language Model (LLM) as a judicial reference point prior to generating output is a sound strategy. This involves deconstructing the primary query into sub-questions and then utilizing the LLM as a reference, supported by validated sources to substantiate the final output. Employing weighted scales to assign confidence scores to specific values further enhances the process. The primary challenge lies in the immediacy of output generation; however, a more favorable outcome can often be achieved by allowing for additional processing time. Maybe
youtube AI Responsibility 2026-03-25T22:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningdeontological
Policynone
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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