Raw LLM Responses
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G
@xjood805 that’s fair. What you’re describing is pretty much just how I choose t…
ytr_UgyznAVas…
G
The AI runs/processes information from DAta centres that need power, air and Wat…
ytc_UgydL4t4q…
G
Absolutely! The name Sophia does indeed mean wisdom in Greek, and it’s fascinati…
ytr_UgyNqMqkZ…
G
It would be great to hear you ask physicists, philosophers, and "regular humans"…
ytc_Ugz5r-ICW…
G
I think that ist what AI is pushed so crazy for, it replaces the need to educate…
ytc_UgxHYbApE…
G
@gvi341984 isnt it better to slow down instead of using unsafe technology? Hard…
ytr_UgwvIrvu0…
G
Why not have an AI app or tool which can analyse anything you tell it to and tel…
ytc_Ugy7HiGtw…
G
So the fundamental issue of the matter is that AI will figure out is that mankin…
ytc_UgxKTWA80…
Comment
You are misunderstanding that line. K-fold cross validation means you train a new model everytime.
Also, what do you mean your AI is just sitting on local minima? The point of training is usually to maximize or minimize some object function which means by definition is going to end up in some local minima or maxima. Are you referring to some global distribution and trying to say that it's overfitting?
reddit
AI Bias
1593033841.0
♥ 23
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_fvvy9k8","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_fvvo6xo","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_fvw27wa","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"rdc_fvw9bni","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_fvw6kxf","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"})