Raw LLM Responses
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I like to use fast food as a metaphor for AI "art." Does ordering a Big Mac make…
ytc_UgzlShtV2…
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McKinsey themselves recently created their own AI based on the consulting docume…
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Too late! July 4th was significant for ai! I don’t understand why but the ai doe…
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Although the thinking model is better at writing, it has one major flaw. It repe…
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Why is she wasting time with this garbage ????
AOC need to focus on the "Green N…
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What ever art you make is the result of your brain mixing memory, lets say we h…
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That’s horrible!!!! The only people that would give a 💩 about this is a very wea…
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OMG, so sick of ChatGPT saying that everytime I even BRING UP the subject of hac…
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Comment
@diplodocus462
Giving up is the most counter-productive thing.
Instead you should think hard on how to solve the problem regardless of the difficulties. Pretend your life depends on it.
For example to combat rogue AI built by bad actors you can have the good guys beat them with a well aligned super-intelligence, which will then keep in check all less intelligent AI. This was Elon's idea when he founded OpenAI. He just failed to properly align his humans, so OpenAI is now the bad guys. Now xAI is trying the same thing again, and so far seems to be succeeding.
In general long term the good guys win, because technology always wins, and the technology can be developed the fastest in a highly cooperative and intellectually free environment. OpenAI vs xAI is a perfect example. OpenAI was far ahead of everyone, but then internal conflicts drove out most of their talents, likely poisoned the work environment, and consequently they lost their lead. Meanwhile at xAI Elon created a work environment where only the mission matters, not personal gains, so everyone is pulling in the same direction, and give it everything they have. And this environment attract the best talents, even if the alternative is a $250M signing bonus that Meta offers.
youtube
AI Governance
2025-08-30T13:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytr_UgyO6Ytj4-Ipljm9bO54AaABAg.AM9q5Q9W9e7AN3aaJ-rUH8","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_UgzBUp9cqxp-Q-SKku14AaABAg.AM9pVliGn4FAMA6Z0itikO","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytr_UgzBUp9cqxp-Q-SKku14AaABAg.AM9pVliGn4FAMA7jsQ5kYS","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_UgzBUp9cqxp-Q-SKku14AaABAg.AM9pVliGn4FAMSHegtnVuz","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytr_Ugy1T_34YaiGCD0NUaF4AaABAg.AM9ic-tC1lLAM9q7IvA15U","responsibility":"none","reasoning":"unclear","policy":"industry_self","emotion":"approval"},
{"id":"ytr_Ugy1T_34YaiGCD0NUaF4AaABAg.AM9ic-tC1lAMA9EvpS1-J","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugy1T_34YaiGCD0NUaF4AaABAg.AM9ic-tC1lLAMII9arF59f","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugxc7OSTeXfpHfHXzn54AaABAg.AM9aP1snwDmAMAAS2UqTFA","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugzo0idJS2l403a9bSp4AaABAg.AM9_Cq2M2YtAMADhWG0Mbp","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_Ugy72wtJKMqQOiewXSF4AaABAg.AM9SEbXnRxpAMAEjpKa73Z","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]