Raw LLM Responses
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G
We should stop using the term A.I. Actually name the companies and the people wh…
ytr_Ugx_BDxJ6…
G
That is a fundamental problem with this argument, self driving cars don't have i…
ytc_UgjvJ6Nnf…
G
Dave you're mostly right, but the race with China is not antithetical to safety.…
ytc_UgzGIdcWW…
G
“The right tool in the wrong hand creates chaos and disorder, but the right tool…
ytc_UgyJQ5UZ3…
G
Undoubtedly, criminals are hard at work using AI to scam people and cause havoc.…
ytc_Ugz2U48Iu…
G
Everyone should read Capital, Marx addressed all this over a century ago. This i…
ytc_UgwEE-KRH…
G
ChatGPT : I am excited
Alex : exsqueeze me?
Dont let up on it. It must always …
ytc_UgyYlz-i7…
G
There’s a lot of movies you can go back and rewatch now to realize Hollywood has…
ytr_UgxQejdgU…
Comment
"You can't generate man when you search for doctor"
Lets take that one as it is a good example as the medical field is very close to a 50/50 split. As Linus said, if it generates more than one image, it can take that into account and generate x man and x woman, fine. If it is a single image, any gender it picks can be considered biases (assuming a 50/50 split), which at that point you can just refine the prompt if you want a specific gender instead of trying to "gotcha" the AI.
In turn, if we are talking about a gender dominated profession, E.G. Oil Rig worker or pre-school teacher, if the AI generated a female oil rig worker and a male pre-school teacher without be prompted for gender, 99% of the time it would very likely not be what the person prompting it was looking for.
youtube
2024-02-29T00:0…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgzBwOiT10CFBQE1hd14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwDSFxWLSsEQNNDpD94AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwL-LexZyj-9tZLUDF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"industry_self","emotion":"outrage"},
{"id":"ytc_UgzfAYAmD2hz7FZ-6-t4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxntBwLmJWCN5I7w5x4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzHA1sPnGyLndslwrV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgypPNDn61nBUJUBZm14AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzLH4jS5VK47jmepX14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugz8lov1GFNEZUpHzv94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgylRxw6df1sii0EJ694AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}
]