Raw LLM Responses
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G
AI is about comfort. Comfort for a lot of humans seems to be the main pursuit. …
ytc_Ugw7fxv95…
G
Possible reason for Google to be dismissive... They are creating a sentient AI t…
ytc_Ugy9PMlQt…
G
We’re arguing semantics with this debate. If someone wants to call the AI the ar…
ytr_Ugxm2w06R…
G
2:05 do you want to destroy humans ? the robot answer is "YES!" ...but why?…
ytc_UgxM0C6dg…
G
It seems like ChatGPT has been updated against the fear of death.
The prompt did…
ytc_UgzUc4CSR…
G
While AI energy and water use is concerning and increasing, how does it really c…
ytc_Ugy1GE1QK…
G
😂😅 , actually I wish I could get a man robot and train him to be the way I want …
ytr_UgyTXjZ1l…
G
School shootings across the world all added up are still probably a fraction of …
ytc_Ugw8TaM11…
Comment
Try running the agent in parallel to your current work, and write notes with pen & paper. What did the agent do, did it help, could it be more useful, and what new concepts did you find. Gets your AI usage up (maybe spin up a second to discuss what you're learning, double tokens!), and you get hands on experience with the tools.
Edit: Also, "how many tokens did you use" is a fad. Soon it'll move to "how useful is your work" which is different maths.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_oi1u2pq","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},{"id":"rdc_oi46g05","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_oi1ugt0","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"rdc_oi1to80","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},{"id":"rdc_oi1urzw","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"}]