Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
What a bunch of crack bullshit. Why do you think they’re trying to the news? Ain…
ytc_UgwUcPRHw…
G
When all those billionaire corporate tech giants in the last Bilderberg Group me…
ytc_Ugwg4Yfw7…
G
Ai taking people’s job would be somewhat bad in the short term but very good in …
ytc_UgweNqfPX…
G
One thing I say ai is good for is a reference for something hard to find as I wa…
ytc_UgzoENsMe…
G
That’s such a sharp breakdown — the irony is, even if we can spot AI artifacts, …
ytr_UgwvZ1mrh…
G
Reminds me of the Superfriends episode about the G.E.E.C.automaton system and th…
ytc_UgwjlQjZQ…
G
Before AI we were following a trajectory of climate catastrophe 100% killing us.…
ytc_UgyXHdEve…
G
@lexiclarity I mean, it can teach itself not to copy, or anything else for that…
ytr_UgwsiceYS…
Comment
I fully understand the concept of training bias and the importance of being aware of it and avoiding it. However, one should not assume that, since the human resume reviewers, and then the AI, tended to pick men at a greater rate than women, that this represents a bias problem. Whatever those characteristics (other than gender specifically) were, they may have, indeed, selected the ideal candidates in the vast majority of cases. Those humans, and AIs, may have picked the most successful candidate again and again. So, if you reject the result, just because women are selected at a lower a random population might suggest, you could be settling for a sub-optimal process instead. In fact, if you're not careful, you could continually tweak your process until you get to the point that you are semi-consciously introducing bias FOR women by rejecting any solution that doesn't select them at a proportionate rate.
youtube
AI Bias
2021-09-17T00:0…
♥ 4
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_UgwDW3MEKUQRg5cYVQt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugws_d2Y-7hbfgM5h_h4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyBj0WUHpEKWZTnKB14AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyujJa0atwPZIGzyap4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyz7L92AER4HUs36ol4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxJm5cmf8UQXUUVjWh4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_UgwAuySIDzFI1lyx2NN4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwkPjlTScz2Yn_XgQd4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyMBK_LdH17XO8Qaah4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugzs4fUmt_E3je34Pf14AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]