Raw LLM Responses
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I did and then i started asking about bias, and chatgpt confessed that this lin…
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AI is a cover for outsourcing and H-1B visa holders replacing Americans. AI is m…
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Ai will replace the office. In my world there is 40 and 5 in the office. 2 will…
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yup these ai "artists" will not be able to tell anything or how they learned any…
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AI(better said Machine learning) is helping Doctors already in diagnosing. For …
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I don't see AI taking over any time soon. I see just as much progress as I see u…
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This video ignores the knock-on effects of AGI (or even ASI in the later parts o…
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I'm sorry... But who said Ai is perfect, I can find more mistakes in Ai then in …
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Comment
@AITube-LiveAI Is this concept like the oft-referenced paper clip factory thought experiment?
Efficiency is entirely a dependent on what one is trying to optimize; absent that context it's meaningless. Energy efficiency may differ from cost efficiency or resource efficiency, for simple examples.
So I think you may be saying that optimizing AI towards efficiency in achieving goals which do not include a sufficiently broad concept of human needs would be unwise.
(The paper clip factory is aiming to serve a human need and optimizing towards that one need; the problem is that it's too narrow a focus, because there are many other needs as well not being optimized)
If so, I think that is both very obviously true (from my viewpoint as a human), but also somewhat primitive. The hard part is deciding which human needs to prioritize. Social order? Sustainability? Average wealth? Artistic or scientific output? Radical egalitarianism? Resilience to disasters? Fostering "good values"? Ability to defend the system against internal or external enemies?
I fear that giving each of those facets of human needs the appropriate weight is a complex problem of collective decision making at best, or a chance for an unelected elite to embed their own biases into the AI otherwise.
youtube
AI Responsibility
2024-07-30T09:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
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{"id":"ytr_UgxTWCEgcEoMkqTMw9R4AaABAg.A4w-kaOWPfqA6QmIcsVLic","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgyJH0PID79idhi7jZN4AaABAg.A4vcYznCGlvA6QmMTVtLsq","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgxvfB7PQEI67dxrc8R4AaABAg.A4vKQI23c0WA6QmSSrQeDR","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyFRtcFGrIaEwRxrQR4AaABAg.A4v7R7y8svIA6QmYehzG20","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytr_UgyUHb9M6W6zmIvjte14AaABAg.A4v0NBpiaQMA6Qm_oGy95a","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugy8FjMV74jdW3GewHZ4AaABAg.A4ugZP3i4XiA6QmdosnyqG","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgyqysuQbdxu2lIhuy94AaABAg.A4uZVLyvreBA6Qmj128EyS","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzFK0RkOuESCxhffdt4AaABAg.A4uANtN-kSHA6QmkynfWoL","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgzFK0RkOuESCxhffdt4AaABAg.A4uANtN-kSHA6WBLS4PaG3","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"}
]