Raw LLM Responses
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G
If Ai billionaires take over the world were jsut going to assinate them. Then we…
ytc_Ugx8WI9BG…
G
"Agreed to by all" yall cant even agree on ethics with your closest family. Woke…
ytr_UgyPjH8n4…
G
22:19 im glad the relative tried to help but wtf did they think would happen and…
ytc_UgzRS1kwS…
G
If you have no idea on what to do u could just use chatgpt for the idea and copy…
ytc_UgxHzgxK5…
G
As a truck driver... It will take a bit of time for anything to be replaced in t…
ytc_UgxwE-e5l…
G
Imagine if the Earth gets taken over by AI and the remaining humans flee to spac…
ytc_UgyrEi4hO…
G
I don't like all the ai music channels with everything being ai generated from t…
ytc_UgyIyz0zq…
G
know you think you are needed in teh broardroom whiel AI can replace anybody els…
ytc_Ugw7vawu7…
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"}
]