Raw LLM Responses
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G
I was enjoying the interview until they start talking politics. Why ? It's amazi…
ytc_Ugw-9ttY6…
G
Wait, how registered nurses though? Its a college degree-requiring job plus its …
ytc_UgxIgcIYQ…
G
For a guy as smug as Yampolskiy is pretending to be in the know to make as shall…
ytc_UgzGFbOhb…
G
Isn't really a comeback, the US for example has had an outbreak of plague for ma…
rdc_dpbz0et
G
FTR, I had a look at one of the r/stablediffusion posts about the model trained …
ytc_Ugw2NQMVA…
G
Top1% total control and dictatorship making population slaves more and more beco…
ytc_Ugx9uKoo2…
G
We have to do ai for our move to Mars. That way we can have two planets populate…
ytc_UgzOc2ati…
G
For me "that" world is easy to imagine. All us humans really need is natural u…
ytc_UgwpJN_Ib…
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"}
]