Raw LLM Responses
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G
As a software developer that has taken grad level AI, I use it daily and it is s…
ytc_UgzWBlJcD…
G
@chuckysmaria6466orst they will burn hollywood like streams wanna 😂
They talk …
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G
He finally woke up to AI being an existential threat when it decides it doesn't …
ytc_UgxggkFRY…
G
Ai is a word calcualtor, it predicts the best response, it did what its supposed…
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G
How long will how many people be excluded is the real metric I wish we got into …
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G
That's what I'm saying. The others were different cos you still needed a human i…
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G
Long take incoming:
Starting out, I want to say I'm a big fan. I love your styl…
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G
You should have added a Agnostic Speaker too. I wanna hear all sides.
As a Agn…
ytc_Ugwf7E0Rv…
Comment
Simply put, big data has powered the evolution of AI from rule-based methods into statistical approaches. So nowadays, it is a data-driven statistical computer utility that brings enormous possibilities and potential detrimental factors:
(1) AI can lead to a universal automation era, which brings a strong sense of convenience and the richness of modern materials for human society.
(2) AI can be "smarter" than human due to digital statistics, yet this doesn't equalize "wisdom."
(3) AI follows the computational instructions and rules strictly, which means if the instructions are syntactically or grammatically correct, those commands will be executed literally even if they emotionally and logically counter human values. This may put human society at risk. What if the prediction is to wipe out a detrimental factor for the natural environment, i.e., humans?
简而言之,大数据推动了人工智能从基于规则的方法向统计方法的演进。如今,人工智能已成为一种数据驱动的统计计算机工具,它既带来了巨大的可能性,也带来了潜在的危害:
(1) 人工智能可能引领人类进入一个普遍自动化的时代,为人类社会带来极大的便利和丰富的现代资源。
(2) 由于数字统计技术的应用,人工智能可能比人类“更聪明”,但这并不意味着它拥有人类的“智慧”。
(3) 人工智能严格遵循计算指令和规则,这意味着,即使指令在情感和逻辑上与人类价值观相悖,只要其语法正确,就会被严格执行。这可能会给人类社会带来风险。如果人工智能的预测是消灭对自然环境有害的因素——例如人类自身,那又会怎样呢?
youtube
AI Governance
2025-11-14T11:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyA_Wa-5fbxjELUXUV4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgypBfT4EvZ1YxQVCPV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugx2Nctfcno-D1ajuYN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwY8otWef3-lVBDQvx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugy_jXypyhbh9nV7g-x4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugx0pWFOo8wnhqfFJBZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugxt2I3lZtaI5RrkNKl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugyuplr_ic8cbA3N3Lh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugz-sbNsDHJcrYlankZ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgwkPw_oZDVfaYMUCAF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"}
]