Raw LLM — Corpus Dashboard

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G @kocy33 still isn’t done by you, its the ai generator that does it. I’m not agai… ytr_UgwJP_mXW… G @adriannasmiths8262 the engineers working on AI/Robotics are routinely saying th… ytr_Ugw6y7jQV… G The pixel V tuber is cool! Also ai art doesn't take time and it's lame.. its ste… ytc_Ugx2J9BRo… G I use GPT4 and I do not have the same experience at all. However Dall-E seems to… rdc_jg7dkkq G I wanted to pursue art, nothing major, but since all this AI stuff… I feel it’s … ytc_UgwSigTgj… G Who’s going to want to watch a machine be a “better” person? How can you matter … ytc_Ugy0J_yEZ… G keep in mind, if AI puts too many people out of work then there won't be enough… ytc_Ugxg9Ua-A… G Bernie's worried about AI replacing Communism. Well, at least the Communist Par… ytc_UgxOHl7HZ…

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"}
]

Raw LLM Responses