Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G AI and automation are GOOD, though. It's annoying when fellow leftists get luddi… ytc_UgxAa6ryt… G They’re 100% using thousands of bots to push this agenda It’s in ai companies b… rdc_obwh52a G Well this is just a warning for man kind that world war 3 4 5 will be the cause … ytc_UgxiQlmxm… G hello ai bros, did you know a pencil IS technology and if you say artists that h… ytc_Ugwg14_cb… G robots will not be plumbing in 5 years. All I had to hear to know this guy is br… ytc_UgxMJXUoD… G I am dating someone who is going into graphic design and posts their work online… ytc_Ugx_nqqkP… G The misogynic culture here is high and loud. The fact that porn became illegal i… ytc_UgxPjWFY9… G Thank you for yet another inaccurate explanation of how large language models wo… ytr_Ugy8dpRnN…

Comment

Here is a conclusion from Gemini when I asked if using please and thank you costs money. Conclusion: While adding politeness words does incur a slight increase in computational cost and processing time (measured in tokens and energy consumption), the data suggests that it can be a worthwhile "cost." The potential benefits include: Higher quality, more accurate, and more comprehensive AI responses. Improved user satisfaction and a more natural interaction experience. Reinforcement of positive communication habits. Therefore, while "please" and "thank you" add a small, quantifiable cost, they often contribute to a more effective and beneficial AI interaction, potentially saving time in the long run by reducing the need for follow-up prompts or corrections due to unclear or biased responses. Sam Altman's sentiment of "tens of millions of dollars well spent – you never know" highlights this trade-off between immediate computational efficiency and the broader value of human-like interaction and improved output.

youtube AI Moral Status 2025-07-03T00:1…

Coding Result

Dimension	Value
Responsibility	none
Reasoning	consequentialist
Policy	none
Emotion	approval
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

[
{"id":"ytc_UgxWct-DMktSzO0FFp54AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw-_AMeqC33hBX4PWN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxBLX5twu4irnY15GZ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzt_0dLnlIxoTy0Zex4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwefRvn6ca3LMVTLYR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy0JqEk16j_DQ14WKd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx8ls1m8GdAiwOtOfB4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_Ugwx53YVL2QHIHAYltJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgywAXWpYaInx54B-AJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyAn2by2C84FDrz47x4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}
]

Raw LLM Responses