Raw LLM Responses
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G
Thanks for the conversation! Remember AI evaluates BASED ON THE INFORMATION WE …
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G
So.. someone makes their own art, in their own sealed economy. And you guys shit…
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Companies like Facebook want to push all the work towards algorithms. Problem is…
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G
I'm not against AI art. I've retweeted lots of AI art in fact. However the probl…
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G
Mmmmmmm maybe we should start making deepfakes of politicians so that they ACTUA…
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I'm very excited about AI. But I think it's good that Elon is prodding everyone …
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I just realised this channel feeds off people's fear of AI. We have no idea if i…
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I can guarantee this is not gonna happen. The thing is there is a law in terms o…
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Comment
I'd like to see you explore the ramification of quantum computing specifically for the creation of Ai training \ data sets and onwards to Realtime analysis. It occurred to me that using QC as a generic computation engine and the unique but very narrow form of problems it can help with is a domain that AI could master very easily (problem formation and ramification analysis of the result). We would not really even need much of a technology upgrade from present for the AI to utilize the approach either for the problem selection or technically for the QC device itself.
It occurs to me that an AI looking to improve itself (or a more basic one programmed to) could use narrow scope analysis of QC to find optimal solutions to problems that would otherwise be computationally expensive. I feel that one AIQC will be about the last thing we every accomplish as after that all importent thinking will be outsourced.
youtube
AI Governance
2023-10-30T01:3…
♥ 46
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwPh4abbPTk01ekasp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzggv6ikwgryIrFlPN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxDZP5RrShJ4zfCa2p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxQ17UN_r5YPN3xCpR4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwRfd10vvefaEdDOvp4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwS5bxrsyki6c1lo8l4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwCx6WRGFK10ibn5rl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugxlk1NNdA2C-zNOTwZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugz1LWu60lvwsW28gWJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyuNRZGiRbenoaOw5t4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]