Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G This wasn't a problem for most people until it was a problem for most people. Co… rdc_elun8e9 G There is a tremendous amount of detail behind a person taking his or her life, a… ytc_UgxRKMKqU… G What good is accuracy if ai will put lives in danger for profits of some bratli… ytc_UgwPfGrd-… G Chaos and order. It’s there last tactic just like plandemic. We have been fooled… ytc_UgzMn7s3S… G So create a virus that shuts AI down and set that puppy loose on the internet wh… ytc_UgxSOpKYC… G And there come the fearmongerers, who completely ignore the benefits of AI for t… ytc_Ugyce8AMk… G We know he was murdered. We know it has to do with these AI evil doers. We know… ytc_Ugzutm1XD… G Yeah but that is the same stock marked that drove AllBirds shares up 500% becaus… rdc_oi3gq5z

Comment

One comment Karen makes is that we may not have the right "technique" to reach AGI or "real intelligence". I agree with this assessment 100%! That's because on April 10, 2021, God showed me the right way to achieve real intelligence using a "self-optimizing database," which I'm currently developing with the source code for PostGreSQL. At first, I was too scared of this project to begin development, but now the fear is gone, and I'm actively pursuing this project. There is a very real danger that "recursive" AI will become dumber. But I think that my (really God's) technique will avoid this problem. This technique will NOT use any LLM or Neural Network and does not require any GPU. And it's far more efficient than using any LLM. This technique also totally eliminates the problem of "hallucinations". I will open-source the code, but not make it public yet — until my own machine, ASI1:MRB, is functioning well. I feel this is a necessary step to avoid catastrophic events. Sincerely, Arthur Baldwin

youtube Cross-Cultural 2025-07-07T17:4… ♥ 1

Coding Result

Dimension	Value
Responsibility	none
Reasoning	unclear
Policy	none
Emotion	approval
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

[
{"id":"ytc_UgxDJUOggXvxSnKK3zN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxL5nIbtX_9ta7cqtR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzQbpn-ibM3dDseToB4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugw0rGZ1MaGUxjwBzkF4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy4q8y0LIWyGfTVDCF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzSTr6RtpvETaOl1jR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzfDZ5YZwyNn0vOGZB4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz2XaVUGwODWQ9ew5t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwPeZ8UlIsrxfPZNBp4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzSee9P2Y4tUvt_k2N4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]

Raw LLM Responses