Raw LLM Responses
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G
I'm honestly really hoping a company goes all in on AI soon.
I use AI everyday …
rdc_n4cx87c
G
Hmmm will nurses be replaced , how will AI change the diapers of the elderly who…
ytc_UgxQcsNvN…
G
Interesting video. Finally, a non AI-centric opinion. Around 3:30 you were dis…
ytc_UgwQvnWOe…
G
Thanks, now i will always tell ChatGPT to write an essay with a little more emot…
ytc_Ugwv61m2q…
G
Remember when open ais chief scientist tweeted current llms may be slightly cons…
rdc_jmvhkzs
G
I know AI will get ridiculously powerful in the future but I can't help but laug…
ytc_UgwMEkPH0…
G
Hahaha. Funny, life will be better and have more time to do the things you would…
ytc_UgxvJDcpy…
G
Honest question. How is the logic that they used to justify that any different t…
ytc_UgzDpQTj4…
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"}
]