Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
ChatGPT is programmed to emulate. I love your debunking of BS religion but these…
ytc_UgyxYpgXQ…
G
People that genuinely think they are creating something with ai art need help, I…
ytc_UgzbpwPDp…
G
In the future it's going to be like some People like organic food and some peopl…
ytc_UgwBNfFhc…
G
AI is a "toy" not a real tool (yet) Great to manipulate images and even scan an…
ytc_UgxH1PtpI…
G
Yesterday I had a discussion with my daughter and she tried to tell me (a non-al…
ytc_UgyDg9sv9…
G
The difference is when something bad goes wrong in an airplane, your chances of …
ytr_UgxC9wr1g…
G
Dude, this is literally going to be the future. Underground robot fighting?! Who…
ytc_Ugzmov007…
G
Erik Andrew Fenety has Telepathy
Imagen.(Dec2022)
Dalle-E,Dalle-E2, and Dalle-E…
ytr_UgwU3aHQf…
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"}
]