Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
@Raimoon-qv4nh dummy there was AI in 2023
18 oct. when this was posted exactly…
ytr_Ugx1MSXjH…
G
The most "common" argument was moronic. There's still copyright on paintings, ph…
ytc_UgyyDvukm…
G
i genuinely find ai art ugly and i don't think there is an ounce of art involved…
ytc_UgxUZjd9m…
G
I wish i could draw , i have so many ideias i wanted to put in paper , but the o…
ytr_UgxHYWhAg…
G
There isn’t a machine or computer on this planet that even comes close to AI. W…
ytc_UgzdcRmzq…
G
I’m so happy about ai, now I can make art like urs, or even better and get money…
ytc_UgwBfAzSJ…
G
this makes absolutely no sense. why would he kill himself over a bot? at first I…
ytr_Ugw-ma43X…
G
Why are you saying Los Angeles, it's clearly San Francisco. Is this some AI f…
ytc_UgzKRtIOz…
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"}
]