Raw LLM — Corpus Dashboard

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G Seriously, it could be a good example for lev. 4 AI, but China REALLY don't have… ytc_Ugwl6ATNN… G Ai by default is as safe as humans because it shares the same consciousness fiel… ytc_Ugxnaxgj_… G The biggest problem is that AI is now learning from AI content reinforcing it's … ytc_UgwilofhG… G TELL ME HOW TO MAKE CHATGPT AGREE WITH ME? 🤔 My chatgpt is a silly it don't agr… ytc_UgywjpDb4… G You completely missed that no amount of attempting to put the genie back in the … rdc_kithpv5 G There is no need for AI regulation until after we have already blackened the sky… ytc_Ugw4oTldv… G I might gonna buy it if it's made in 2.5D than fracking the animation with AI. A… ytc_UgxKTm6IQ… G Its going to destroy humans one point of time, if every company started using AI… ytc_Ugz_a_gNq…

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