Raw LLM Responses
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G
We understand your perspective! While it's fascinating to explore the capabiliti…
ytr_UgwhD_J7z…
G
I tried this with Gemini, (Google AI) and it responded "Apple" when I asked: "Ar…
ytc_UgwRl-KcD…
G
@trowawayacc AI is quite easy to reason with if one argues from first principles…
ytr_UgycM-RBz…
G
What I find amazing about this is that they don’t realize that those machines ar…
ytc_Ugzfmd1xK…
G
friendly reminder that theres people that has disabilities that ACTUALLY DOESNT …
ytc_UgzraStlF…
G
Interesting, but with each joueney it learns, and improves. As a result of your …
ytc_UgySlYGDC…
G
it makes me MAD when low IQ people talk about hostile AI and drive fear into peo…
ytc_Ugxez6VIM…
G
I just want to say how refreshing it is for you to say, in detail, what I have b…
ytc_UgwR4Vzl8…
Comment
Thinking in terms of winners and losers in the work arena is surely thinking in terms of the old paradigm. If so many people lose their jobs that they can’t be effective consumers how do the producers, ie “the winners” make all this money.
If AI is going to increase productivity to incredibly high levels then perhaps the underfunded and underpaid sectors of the workforce like aged care, child care, environmental regeneration could be paid better and employ more people.
And how about valuing parenthood as an occupation so that both parents don’t have to slave their guts out to house and feed their children while they put them in childcare and hardly see them.
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AI Jobs
2025-09-23T11:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | contractualist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgwRUOwVvSCV0vM2z5p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzTmrEl88keEdPN27Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyYQoIdbHeHIBlfRqd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz-Ln_B9rkYyBvaCu94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxMuc--dcVHXr11QkB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyq92_V2SfliV0Aefd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzOBsqOFmz6qnpuJst4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzNCESMA18qW_5jVzN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugx3KYyIxMmd9E9cmax4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwO77Zdc7eIpLje3SF4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"regulate","emotion":"mixed"}]