Raw LLM Responses
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G
A.I. will not have a need to attack humans, it's level of intelligence will allo…
ytc_UgwZhLbha…
G
@UnfollowYourDreams Frankly that scares me a LOT less than when socalled "AI" is…
ytr_Ugz1b6hJ0…
G
Yeah, it’s quite astonishing. I think AI is a Trojan for universal/global digita…
ytr_UgxfGhMYl…
G
So im working on a multi agentic workflow at the moment as the frontend lead. We…
ytc_Ugyf5xQ8w…
G
If their only examples are bad people than they'd probably become bad them selve…
ytr_UgwYmMFLK…
G
I believe we can regulate cloud services. A billion dollar company hosting the c…
ytc_UgyCzcR29…
G
I think people would fight to avoid killing humans off in order to minimize the …
rdc_cthqtn5
G
We asked Ai if they would destroy mankind .. Ai says no lol ofcourse it would sa…
ytc_UgykTL7m3…
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"}
]