Raw LLM Responses
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G
once artists stop making art, what are AI users gonna use to generate off of, eh…
ytc_Ugyz8S7C_…
G
Throwing capitalism under the bus is extremely disingenuous. Silicon Valley is o…
ytc_Ugw1-o0bz…
G
Let's say this actually happens, and everyone stops "training AI models" for 6 m…
rdc_je4l2ye
G
if you have a friend with a computer all you need is to run it thru the nightsha…
ytr_Ugx0H4pD5…
G
I am a structural engineer with an interest in creating software. I dont know mu…
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G
me:writes an 10000 word essay in 5.5 hours in hand without cheating and in 10 mi…
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G
Check out twominutepapers' channel, he goes into some detail as to just how powe…
ytc_UgxHgWt3D…
G
The fuck you mean "AI artists"? How are they artists?
I would appreciate explana…
ytc_UgwjRlNPj…
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"}
]