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G Unlike what is said here I think that the real slaughter will happen in jobs tha… ytc_Ugx9GXbwE… G miyasato1 It's not lol. These robots aren't even intelligent, they're Large Lang… ytr_Ugx027Hyz… G My perspective 2:10 Background: I am a sophomore in college studying electrical… ytc_UgyeqZ1m0… G LLMs should not be used for this sort of task. There need to be laws ensuring on… ytc_Ugw2RxKD0… G New sources of employment keep emerging, if AI reduces number of employees there… ytc_UgxFzNrX4… G I'm a bit confused how "come home to me" "find a way back to me" meant ending hi… ytc_UgznNxeft… G The video shows a conversation between two instances of GPT-4, simulating an int… ytc_Ugzu3agku… G Calling for manufacturing to come back to the US to create more jobs is the same… ytc_UgzNzGxHv…

Comment

I don't agree necessarily with how Mergrethe has characterised the 'existential' risks, as she's made it more about inconvenience and inappropriateness of the decision-making. If the software operates in a medical sense and isn't able to extrapolate suitable treatments based upon your sex, then it's not good software and shouldn't have been deployed. If the software is picking and choosing who can have a mortgage despite affordability criteria being met, then it's not in a deployable state. All things being equal, if you don't get a mortgage then there will be other factors outside of affordability. The bigger problem is much smaller: If the AI is better at our jobs than us, what reason will employers have to retain staff who do a mediocre job and cost a lot of money over an AI system that does the job of an office for a fraction of the cost? Literally none. And there's nothing wrong in that idea as we have been replacing people with machines for a very long time. That's the problem, and she hasn't addressed the need for Human-AI competition laws to recognise how much we will need to compete with AI to certify ourselves as valuable.

youtube AI Governance 2024-05-24T07:4… ♥ 1

Coding Result

Dimension	Value
Responsibility	company
Reasoning	consequentialist
Policy	liability
Emotion	indifference
Coded at	2026-04-26T23:09:12.988011

Raw LLM Response

[
{"id":"ytc_UgxlXsEy-Wbbv8z0e7d4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"indifference"},
{"id":"ytc_Ugz3KqTxpJWU6jzzA2l4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy93gzrB7HF4T172id4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgyyLUlEt2cfeh4WgjB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwYjdrcEzFkaHNj-1B4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugw_B9ZgQoyFtLKkJfl4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwhp5CF0JxU_0MOmpZ4AaABAg","responsibility":"company","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugw2GUsHK1SSKTO8JMB4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxlTd2oFU2oiR5eNl14AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgyTprMMFMJyQ9dx9jh4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]

Raw LLM Responses