Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
P=2^n=NP=2^(n-1)+...+2^1+2^0+1=11111.... computer code of Hinton AI 2024 NP : al…
ytc_UgwFBi7Oz…
G
there are artists who do it really well. of course many less because it's an unu…
ytr_UgyNQDE4F…
G
💯 AI is going to cause globalization 2.0. Many will lose jobs and left behind…
ytc_UgzKKtAX5…
G
Don't fear AI. Fear the people who know how to use it well. They will be the one…
ytc_UgyJQ085w…
G
33:33 AI can figure you put though and be such a good copy that its almost like …
ytc_UgzjiGS-K…
G
I honestly don't care if it's AI art or art a real artist makes...if i like it a…
ytc_UgzdVopfG…
G
If you post anything on facebook or other disgusting zuckerberg-like places, you…
ytc_Ugzwwfeaq…
G
There are so many accounts of this tech not being accruate, the fact that the po…
ytc_Ugw1YYFlA…
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"})