Raw LLM Responses
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G
Appreciate that! I’m early to the masses preparing for AI jobs — I’m not chasing…
ytr_UgzI9lD2u…
G
Wow, sounds like common sense. I thought the AI Act is gonna be worse.
Hopefull…
ytc_UgwUgC40d…
G
So, this ‘AI rule war’ narrative is now a Western latest story. I just wonder w…
ytc_UgwbZXu-y…
G
You said a lie is when somebody says etc etc. ChatGPT should have said it's not …
ytc_UgwNZD-F5…
G
This is not a fair assessment. 2024 has been a game changer for self-driving. Pl…
ytc_Ugxc1L9yD…
G
Well, art is communmication, that's why people who have nothing to say love ai a…
ytc_UgzRRel9F…
G
Introduction to Survival-Consciousness Theory (SCT) if you like it help to get i…
ytc_UgyaFi01I…
G
The Millennial generation has had the worst of luck, old enough to know what the…
ytc_UgyJWbORO…
Comment
I think that, for some reason, wherever you guys say "trillion" you mean "billion". English uses the short scale mostly, where trillon is 10^12 and billion is 10^9. In the long scale a trillion is 10^18, so that's even less likely.
Also, I think it would be good if Washington DC watched podcasts like this, but I doubt they do. I think the problem is time. There is so much knowledge, points of view, research to consume and understand, especially around difficult topics like AI, that most people, politicians included, simply don't have the time in the day to do it. We're dealing with a problem where human time and brain bandwidth are the bottleneck. Would lawmakers make better, more informed decisions if they spent several dozen or hundred hours doing their own research about the topic of AI that they're regulating? Most likely. Can they do it? Almost certainly not. Maybe their advisors can. Do the advisors have the time and skill to pass that knowledge up to their principals adequately? Hopfully yes. Can they pass on in 10 minutes what they learned in a 100 hours? Doubtful.
youtube
AI Moral Status
2025-11-09T12:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | mixed |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzCfgXOWqj_QckvzY14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy1PcgxyRpO6yFePBd4AaABAg","responsibility":"government","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgysOsgfV69frC13hlN4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugzwr_KSzvipseA0Au94AaABAg","responsibility":"developer","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyl9pZdZa4uSa23sUZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwB_5LjgvmB9LLCc3d4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugy03wl9LdwnUgQDn0l4AaABAg","responsibility":"company","reasoning":"mixed","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzURJ6yX_tzv56jRcV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyySM7JDt6YFvJjZd54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz8jelfArGzHzPt87F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]