Raw LLM Responses
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Back in the 2000s there was "digital poop" and now we got A.I. poop, see? That's…
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The problem is they can just prompt the AI to change a miniscule thing and then …
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Racist are going to code their AI. Justice loving people will code their own AI …
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Don't worry she'll find u. That what she does, that's all she does 😂 Kyle Reese …
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honestly ai art makes me even more greatful for my creativity, because if i didn…
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I hate how people call it "AI art". No, its not art. Thank you so much LavenderT…
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Wdym writers don't care? They're literally on strike and one of the main causes …
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I'm all for AI and want to see it improve as a tool, but I'm also against the un…
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Comment
The whole point is being missed. Think in comparative terms. The industrial revolution was say, a 10. AI is anywhere from 100 in the short term, to millions in the medium to long.
If you haven't heard about it, look up Mythos, Anthropic's latest AI that they've admitted to. GPT 4 was trained on 1.8 trillion parameters. Mythos has 10 trillion. 10. Trillion.
It can compromise pretty much any digital aspect of infrastructure. Banking, the power grid, the internet. And that's today, when only a small handful of people have access.
Now, look up scaling laws. By 2030, if enough power can be generated, it is plausible that models will have 50-100 trillion. 100 trillion, for reference, is the number of weighted connections in a human brain.
The very best AI has a tenth of that. Yet they have already surpassed us in math, in general intelligence, in coding and science.
By 2030, there will be millions of robots working in production in Chinese factories. By 2035, we will be outclassed, outsmarted, and outnumbered by digitally intelligent entities. We are the analogue version.
This video dramatically underestimates what is happening now, and what the real trajectory looks like. Yes, we will lose hundreds of millions of jobs. Probably within ten years. Hundreds of millions more than we gain. That is how the math of capitalism works.
youtube
AI Governance
2026-04-24T20:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugy3-902LFPpYPmjC_l4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyeIEXcsFZAYD7tmyR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgynvzrQ79P0SxIQF6Z4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgyW-6YdC0iUEvSjPaR4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgwNhdsiOOLBaCCp0at4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgzloCNEcwgXXg4zRl54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyB2m0F9WlzfR7dVAV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"resignation"},
{"id":"ytc_Ugyt7-rgC37uCGIKPU14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw_02p3zxvnFiciTnt4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzNm2Y74BRABa3aY994AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}
]