Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
He is lying. It will be more capable and cost less. He just wants to sugar coat …
ytc_Ugy85HvoK…
G
😊Hi, I've reached the point of discussing the replacement of neurons with artifi…
ytc_UgyaY0ULv…
G
I am sorry, but you have to mention that all of this is just pure speculation ba…
ytc_Ugzz7FvYA…
G
Using AI to make art is like claiming you totally made the lasagna for family di…
ytc_Ugxn13OrF…
G
@NickBandMjazzwoodtip First will be binning and picking, then truck loading and …
ytr_UgwMxBL1d…
G
What if you run it. Turn it off and get out on a list of people who have committ…
ytc_UgwUmQxNq…
G
They want AI to replace the workforce. So investors being scammed into paying a …
ytc_Ugy0ViVfL…
G
I do have no gift to be an artist, but i don't use ai to generate images, just h…
ytc_Ugy01nD7C…
Comment
Dear Mr. LaCorte,
Thank you for illuminating biases of ChatGPT. First a comment: When testing the Chatbot, I'd set the temperature/randomness setting to 0 to get reproducible results. This makes the biases easier to reproduce and confirm.
Now a question: A big part of your video contrasts a generated story of a white man moving to a black neighborhood vs. a black man moving into a white neighborhood. You clearly show that the results are asymmetric and biased (the black man/white neighborhood conflict escalates without reconciliation while white man becomes part of his neighborhood social group).
My question is: Is your point that statistically speaking the two stories should be the same or does the output of the text generator merely reflect that the unresolved escalation scenario is indeed more likely for the black man/white neighborhood?
So is the AI Model artificially adding racism in its answer or correctly reproducing existing racism?
Keep bringing up the elephants in the room!
youtube
AI Bias
2025-06-16T17:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_UgxV-7xUwJVhEhBgZUB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"ytc_UgyGhQjrQ_D--J_91_F4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"outrage"},{"id":"ytc_UgwR-9nvCcvVdPh8_Th4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},{"id":"ytc_UgzMmr_hKjYux10NbZ94AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"approval"},{"id":"ytc_UgxRb5a56C-o77BtQQZ4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},{"id":"ytc_Ugy5MiXodhFDv3axOQp4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},{"id":"ytc_UgzzI6DtgFVS2rZ9X-J4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},{"id":"ytc_UgxbVjkCfp7mcL6FZh54AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"disapproval"},{"id":"ytc_UgwTYbLUYPRhJT0ecyV4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},{"id":"ytc_UgxVxAlBHVPTAdcS5-14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"approval"}]