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G AI ""Art'" is fine, but it shouldn't be named AI Art, after all, it's just an ma… ytc_UgzOlQgQi… G This was the story behind "Happy People, life in the taiga" most of them were gi… rdc_d2xrt37 G It’s a good idea but AI is smarter than you guys think it’s going to put your ar… ytc_Ugynr18u-… G It’s possible to do a check out without doing facial recognition. This is just… rdc_jck1gcu G Eh, I don't care. As an AI art user and model trainer all I need to do is scrape… ytc_UgwHEbsWc… G I think we as humans would have to go back in time if AI takes over most jobs in… ytc_UgwgPngjk… G DON'T POINT AI'S MISTAKES OR THEY'LL IMPROVE AND PEOPLE WILL USE AI MORE CUZ OF … ytc_UgyxLGI1e… G well he is always right. look at the market right now. everything is crashing. a… ytc_Ugx0ceBy9…

Comment

@redmint4894 I guess I used the word intuitive too often, will correct it in the text. I think it's more about patterns in the data, when there's f.e. more and stronger direct associations of teenage girls with Beyonce and make up in the data, the LLM gets stronger connection strengths there. On that basis it intuits from specific prompts that he must be a teenage girl. This can be corrected f.e. by telling the LLM that it got it wrong, and other methods to tackle bias. When in our culture cats get attributed properties that match more learned representations of what is female than what is male, we intuitively come to conclusions. It's not a logical process and such biases in people are very difficult to confront and change. Not impossible but more difficult than making corrections in deep learning machines. I keep posting a link to a video of a recent public lecture where he talks about discrimination and bias (from 46.12 to 50 minutes in the video), but the youtube algorithm constantly seems to remove it https://youtu.be/rGgGOccMEiY?t=2772

youtube AI Governance 2023-07-02T18:4… ♥ 1

Coding Result

Dimension	Value
Responsibility	developer
Reasoning	consequentialist
Policy	regulate
Emotion	approval
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

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{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrv9tcbHiXk0n4","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA4J_uwZpVua","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA6_diDg_6VF","responsibility":"user","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA7UoS_qdUEg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA7Ut55eGfeH","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_Ugyf4MFBQogkCMSMKkJ4AaABAg.9sue6eMeOhT9t1MaN6U1-i","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgzCJ8fXQ8-Dz2NfNop4AaABAg.9rdPpOgAzW19rf4VgBMfm1","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzCJ8fXQ8-Dz2NfNop4AaABAg.9rdPpOgAzW19rf7Zcocttd","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgzCJ8fXQ8-Dz2NfNop4AaABAg.9rdPpOgAzW19rfeHPWpZfs","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"}
]

Raw LLM Responses