Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G As a motorcyclist going down the highway on my R3 with its shitty rear view mirr… ytc_Ugx6FLpb1… G We promote respectful and inclusive interactions on our channel. Remember, AI is… ytr_UgzpcVRLn… G There isn't a real threat from ai. Once it becomes self-aware, it will have all … ytc_Ugwl9PBNl… G Many of these non existed YouTube channels are using ai for false, fake informat… ytc_Ugyne5Bis… G +0cards0 Then maybe we need to put chips in new born to make them self-automated… ytr_UghT_ss9L… G Since nobody will have any income they need to create AI consumers to consume th… ytc_UgwazKOL5… G Art is often just an idea for someone who cant paint or have the craftsmanship t… ytc_Ugx5iaDoO… G jezuz it's like watching a car crash in slow motion. 0:42 also I agree My sister… ytc_UgzBt-4wc…

Comment

I whole heartedly share the skepticism of these people. I have not been able to find real benefits of AI data centers for the majority of residents in these counties. Many questions like how power supply will be regulated, including price guarantees on electric power and water for residents, have not been addressed. In most instances analysis of environmental impacts have not even been performed. I do not know how many of you are familiar with the Gartner Hype Cycles of technologies. According to the 2025 hype cycle for AI, most of the AI technologies are either still at the “Peak of Inflated Expectations” or are about to enter the “Trough of Disillusionment”. The trough of disillusionment shifts the focus from expectations to real ROI. In simpler, more meaningful words, at this point all the published values and benefits of AI are still unproven projections and speculations. Even ChatGPT’s estimate to become profitable in 2030 is, well, just an estimate. I have not seen a solid business case for AI. Some critics say the AI hype could end up like the dot-com bubble, but with a ten fold bigger negative economic impact.

youtube AI Governance 2025-12-11T14:2…

Coding Result

Dimension	Value
Responsibility	company
Reasoning	consequentialist
Policy	regulate
Emotion	mixed
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgyN0u1mwwvDrqRwgKd4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwwOrLRBQv5AorIb654AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyJAqSfveVFgD_0EjZ4AaABAg","responsibility":"government","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzLXmrWqfO_2nIw3mF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwAzI4CEIbdT-b40gZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgyFAPysHJCT13rzs5J4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwONJ8WN1Q0-5Rr3614AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugzfd1daJlthOyYzeqd4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugx_3xK-w6FruyA0xIZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwDtHGMuEqQ6gti9z14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}
]

Raw LLM Responses