Raw LLM Responses
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G
Being completely honest, I have used AI to generate concept images for a piece I…
ytc_UgyERSlDy…
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I absolutely love how 90% of AI training is just programmers telling it not to g…
ytc_Ugz59OaBv…
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Eliezer Yudkowsky does not really understand what he is talking about, because h…
ytc_UgyMkp_eH…
G
Ask any IT company employee — people are working 12+ hours a day just to hold on…
ytc_UgyxMGNT1…
G
Maybe the poor and middle class should stop worshipping AI as if its here to hel…
ytc_UgwPp5GYo…
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In my experience, AI is dumb in that it seems to answer the question it knows th…
ytc_UgwTxaQwg…
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Why is it a threat. Automated factories means products are cheaper along with pl…
ytc_UgyRXP_AR…
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This is why the AI act exists, and will further be expanded on to protect human …
ytc_UgzQtqKDm…
Comment
This AI policy debates started in the right place maximize upside, limit harm but quickly drift into perfectionism. Nothing will be perfect. Calls to “pause” or heavily restrict AI often come from people who’ve never built at scale.
We’ve seen this before. Leaders like Bernie Sanders opposed nuclear for decades, while France built a reliable, low-carbon grid. Overcaution has real costs.
Meanwhile, the U.S. keeps repeating the same policy mistakes. Healthcare costs are roughly double those in Japan with no clear advantage in outcomes. Student debt is nearing $2 trillion. That’s not success but that’s systemic failure by the Uniparty.
The pattern is clear: overreach, inefficiency, and unintended consequences. The risk with AI isn’t moving too fast it’s overcorrecting, locking in incumbents, and stifling innovation. I'm over 60 not in tech and decided to see the hype by doing some projects in coding.
The goal shouldn’t be to stop AI. It should be to let it deliver exponentially more good without repeating the same policy failures. Lets be country of BUILDERS!! I know that is scary for you but don't worry you can transition to becoming productive people for society.
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AI Responsibility
2026-04-22T15:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgxfSH0sAcbCwhWXE1N4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw2rx5Brl7cTXHZGxd4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyZV-ZWKHvt_yPWaCd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwniAl8pOEQ32_1a9l4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwYk0QqM86956CEQP94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgybrBuIv5sB4iz7bMh4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyPGeE8aJ-muCOxBYh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugy_548ta4EnoPE7AkN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugx5o4dcJ1uq9BSsUXV4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugzi2UONWVL4XCpC4Sd4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"}
]