Raw LLM Responses
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G
models like “devin” and other coding ais clearly have a governor set on their ou…
ytc_UgzLx_OuV…
G
Govt has been using this technology for years - it is more worried about itself …
ytr_UgynLTCKl…
G
This video largely overestimates the current competencies of modern "AI" systems…
ytc_UgyJi9cX5…
G
These talks about AI make me uneasy, but I’m grateful for tools like Rumora. My …
ytc_UgzVXGS34…
G
Aria Robot - $175,000.
Real human woman - never ending expense.
Aria Robot for t…
ytc_UgyPmwHzx…
G
It's a tough problem. I'm guessing they were trying to avoid Gemini reinforcing …
rdc_ks1u1on
G
@thewannabecritic7490 i can explain it to you again, if you want.
AI art takes n…
ytr_Ugxm0d_Tm…
G
😮wow so life like the expression on her face is astonishing would love to see he…
ytc_UgwKI-UdW…
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"}]