Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G Contact your representatives at each level of government and explain politely, w… ytc_UgweeGwkP… G This is niche level marketing done right!, these people absolutely do not believ… ytc_UgyO2QNhz… G This is precisely why I stopped using Google Photos. Every last one of my photos… ytc_UgwxXSaeu… G I think too many people flatten "AI art" into just prompting image generators. … ytc_UgypXiD-M… G I always feel compelled to say please and thank you to any AI I have to chat wit… ytc_UgxZi5R_N… G Government agencies, facial recognition, immigration, law enforcement, and TSA,… ytc_UgyiW-kqX… G The genie is already out of the bottle. You can't put it back in and there is ze… ytc_UgyGsbp06… G Robot 1: Fck you Robot 2: Fck you too Me: This will be the end of Wakanda… ytc_UgwXXAITu…

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