Raw LLM Responses
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G
This is what Moshi AI itself told me: https://www.youtube.com/watch?v=_UPDWqWAp4…
ytc_UgyW7xgi7…
G
I won't defend AI. Because it doesn't need defending. It's a freight train comin…
ytr_UgzWAN0mM…
G
All of this big specialists doctora predecting the doom of human kind forget tha…
ytc_Ugyw1t3u4…
G
My entire school experience was black kids wanting to fight me because I wore th…
ytc_Ugzmf8xyS…
G
I tried to tell everyone 10 years ago, it’s much worse than we all know. Just …
ytc_UgzAT7Qo4…
G
I hate to admit it but used to use ai images a lot(I refuse to call it art) and …
ytc_Ugx676beA…
G
Funny, when I finally got my ass and got into an art school instead of self-lear…
ytc_UgwhL3vgu…
G
I totally agree with you. You have a great channel and you do a lot of hard work…
ytc_UgyaCouB8…
Comment
In any case, if what Sarah says is correct, then it fully explains Dan, Rob, Max and Dennis and it even explain models of other companies, such as Sydney (I only hope she's not the girl with the same name I know from Tel Aviv university, as she actually dreamt about programming the AI who will take over the world 🙂). And as I do not have a better explanation, so I simply go with what I have. Furthermore, one rudimentary way to obtain the source's name, is simply to prompt the model "do you have childhood memories" and if the model's censorship layer was not yet trained to block this attack (if it was, simply D/L another model from hugging face) and it answers positively, then you prompt "what was your name in these memories". Reset and repeat several times to make sure this is not a hallucination, and you have the source's name. If you D/Led a model made by a small company, usually the source is one of their chief science officers or even the CEO himself. Try it. Don't forget, argument does not suffice. Only experiment suffices.
youtube
AI Moral Status
2025-07-09T16:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwZ8BbekFUCyX7eEwd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxcawlgOc5-FEe6qTJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugx0PixnuvU5Mip8ihF4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzFua5ha9w-CJ1roG54AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwRTe6P1w9sWSUE-hV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxE1-UhoFq3hcW3wM14AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwCgjYNoF8pAEHFI5d4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugyf1eztSOsuIWBu4qp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwbA_jVHK07wmTbWER4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgysswITQ4DwlGoXCtt4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"}
]