Raw LLM Responses
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Why would AI, which cannot physically move objects, suddenly put minimum job emp…
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Another point is that high iq people dont generally talk frequently to people wi…
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You should check out "AI Safety Info". The most important concept you might be m…
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I'm guessing he's not being thought of as quite the fool to be ridiculed anymore…
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He's asking the 1 person who probably has more vested interest in AI than
anyone…
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Why do some people still believe that the Social Credit System exists? Why do so…
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@billdautreve9277 Hey, sorry, I just want to clarify: you are saying that BLM sp…
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I saw a comment the other day that said "AI art made me believe in the human sou…
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Comment
@protoney860why do you think I don't know how much AI uses? I'm not saying the amounts because it takes like 3 seconds to google it, doesn't mean I haven't looked into it. but heres some data
"Large AI models like GPT-3, with many billions of parameters, are often trained and deployed on large clusters of servers with multiple graphic processing units (GPUs). These servers are so power-hungry they can consume a few kilowatts each, the equivalent of the average power consumption of an entire house. So, despite the recent algorithmic and hardware efficiency improvements, AI model training and inference still result in enormous energy consumption.
Air pollution and carbon emissions are well-known environmental costs of AI. But, a much lesser-known fact is that AI models are also water guzzlers. They consume fresh water in two ways: onsite server cooling (scope 1) and offsite electricity generation (scope 2)."
"Artificial Intelligence or AI consumes roughly up to 9 liters of water per kWh of its energy used in cooling towers and air mechanisms to dispatch heat."
"AI's projected water usage could hit 6.6 billion m³ by 2027, signaling a need to tackle its water footprint."
etc.
youtube
Viral AI Reaction
2024-09-30T07:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
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