Raw LLM Responses
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I do not understand how this experte even imagine this van be true, the human Bo…
ytc_UgwUXHciG…
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It’s a bit silly to assume that every brexit voter is an uneducated layabout. Ma…
rdc_fwhc7yd
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As a consumer I only have one thing in mind: how can I enjoy the best art possib…
ytc_Ugxpvc18o…
G
That’s one of the best comments I’ve seen! A robot with feelings and a grudge? N…
ytr_Ugzvvt6Xf…
G
The future date in the first Terminator movie was 2029! That movie came out in 1…
ytc_UgwzGt0rC…
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The Borg/Dyson mashup we've all been waiting for 😂 Also couldn't help but notice…
ytc_UgypauoZr…
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no. ai doesnt have a racism problem. ai has a "is put into positions where it ha…
ytc_UgzVlkRkV…
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AI isn't as good as people think. It cant create stuff as good as a humans can. …
ytc_Ugw_05yza…
Comment
@casetheacetoo Stop commenting like you have any idea what you're talking about. You say "f you’re not able to realize it’s just code and we can program code however we want to, then I think you’re probably not a software engineer, or you’re just so caught up in the hype believing you’re part of an industry building a new god." But it was pointed out many times in this conversation that it absolutely is not code. It's not even software in the traditional sense.
The code we write is just the algorithm for training the AI. Once the training happens, it's no longer running on code we wrote. It's running on a grown neural net black box. How do you insert code into that?
But that's besides the point (it just indicates you have no understanding of the architecture of these things). The main reason we can't put guardrails in is that this is just a known optimization impossibility. There are mathematical theorems about this. Any optimization system will trade-off underspecified variables, and we can't program in every variable that's important to human life. There are just millions. It will find one of those and deplete it to optimize for its goals.
youtube
AI Governance
2025-10-17T15:3…
♥ 14
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | mixed |
| Policy | unclear |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgyOjzmTIoLZXJQ8_614AaABAg.AOLq_Q-3U1jAOMOxQavCEm","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyOjzmTIoLZXJQ8_614AaABAg.AOLq_Q-3U1jAOMZQfG2nIu","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgxHMLXRr5iWJK8TPC14AaABAg.AOKcxEEl8x_AOL8M15bXkM","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_UgxBIFZaYUxl9uHUwgR4AaABAg.AOKakxbuc3SAOMoJcYULyg","responsibility":"developer","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgxBIFZaYUxl9uHUwgR4AaABAg.AOKakxbuc3SAOO6NOe7PSi","responsibility":"user","reasoning":"mixed","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgxBIFZaYUxl9uHUwgR4AaABAg.AOKakxbuc3SAOOyD59Zh8i","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgwnFgN90LTWyWMpQ1x4AaABAg.AOJlHYQMm7EAOLpvvvwYb0","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytr_Ugx0eO84iCVdGa-cKip4AaABAg.AOJau-ynNbIAOKRp7QKg86","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugx0eO84iCVdGa-cKip4AaABAg.AOJau-ynNbIAOR8w2Bjz6b","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugzt0860SlM1kjlnlQV4AaABAg.AOJZLkvQuUxAOLpkVsaMkt","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"}
]