Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
So, you basically overthought yourself into emotion, using the cultural training…
ytr_Ugzd75Tk4…
G
Every time ChatGPT started with "i understand your concern Alex" it ended with "…
ytc_UgyKsS-sO…
G
it's a bloody genius idea that frankly, we the normies should be embarassed to n…
ytr_Ugwr3UpUe…
G
You all have it wrong AI is not here to destroy you but to lead you into a bette…
ytc_Ugxsqoti4…
G
Elon controls the algorithm along with Thiel! Yes AI is planned by 2 nerds! Both…
ytr_Ugx57wKOz…
G
He is missing the point, it will actually be beneficial to humanity to have a mo…
ytc_UgxEPSK31…
G
13:52
They are using AI for "that." An imageboard website I used to visit has …
ytc_UgxywQF-G…
G
Great question! The three laws of robotics, originally formulated by Isaac Asimo…
ytr_UgzGJepXd…
Comment
you guys have a real zebras v horses problem here. all of these problems are explained by income inequality. Weak demand leads to layoffs. If demand were higher, the hiring in the past would not have been overhiring. To the extent that the 'freedom dividend' would work it would be because it would strengthen demand. I'm in my early 40s and I've seen multiple waves of 'learn to code' type calls for retraining.
Yang talks about LLMs as if they follow moore's law, which pertained to transistors. The fact is that LLMs have mathematical scaling limits, sometimes referred to as the efficient compute frontier, and the big problem that they are limited to the nature of human knowledge and a given cross section of that information. I would love to hear a conversation between you and the fella from Welch Labs. A discussion that intersects the economic perspective with a much better informed technical perspective would be much more interesting then giving a new grindstone to Andrew Yang's old hatchet.
youtube
Viral AI Reaction
2026-04-24T12:1…
♥ 9
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwUa_zcPWGeokhQn0F4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxOzKci4yqJI2tWzlx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwqR7O4rGeqRPlEtuV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxfNqKn59bCXXaihBl4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugzsrn0PtATK87V3l594AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxTnsUbWHZMB1uPnkZ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzetxzSd7mzfRJxzjt4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwDCvI5prm5bX6lZWl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgytmkhMVGRQytkyjLx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgynPdkO_t28TPPZ2954AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"}
]