Raw LLM Responses
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What is the likelihood that they intentionally ragebait animator to reply with a…
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Being involved in biblical research on news the answers to these questions alrea…
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another "argument" i've seen is comparing AI to coding software (like ren'py and…
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Dear American friends and brothers!
I would like to convey this idea to you.
If …
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Literally any question a human asks to determine if it is "sentient" is a questi…
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You guys always assume a SuperAI will operate in a same economic and social envi…
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I'm sorry, your not a real writer if you use chatgpt for everything. You can use…
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I've seen more AI videos on YouTube now than ever before and more than half of t…
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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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