Raw LLM Responses
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G
No i believe he is wrong ! AI Will get consiusness! Just like a star ! The only …
ytc_UgwpNfHGq…
G
More and more people are going to start using these chat bots for medical advice…
ytc_Ugzfs8BEr…
G
To prove his point Penrose sat down with AI for this interview. Very clever use …
ytc_Ugxkjh_uS…
G
Very basic logic would realize that if I'm small minority of AI succeeds you mig…
ytc_UgzJP-olo…
G
This scenario is too apocaliptic.
The entrance of computers had to have a huge i…
ytc_Ugywy4dCK…
G
No a singularly is a god like figure unbound by all other forces of nature in it…
ytr_UgzsB9q8C…
G
Kind of like nuclear proliferation, I think the AI genie is now out of the bottl…
ytc_UgztDkTPP…
G
Thank you for sharing your insight. It's fascinating to consider how our actions…
ytr_UgwT6aEOf…
Comment
NONE of these systems are safe to deploy in to commercial or government or military services. They are friendly front end language processors with context identification analyzer code that integrate data search systems and amorphic weighting variables to produce organized subject responses. They become easily confused when presented with overriding or structurally complex and nuanced data, which causes ghosting and recursivity creates hallucinatory effects under random circumstances that no one has any idea how to correct for... because there is no actual "nuance intelligence and hyperbolic reasoning" behind these language processing systems. So deploying this tech in to areas where they are given autonomous functionality ... robot drone armies and policing and so on ... utter disaster.
This isn't a dig at Anthropic specifically ... This is a universal set of phenomenons across all platforms and even non LMM design models. KegsBreath and Orange Mussolini do not know anything about the "artificial" part of these systems ...
youtube
2026-02-28T19:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | ban |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugy745KW0bwYwXPOkeh4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgzkSGCDmiAk8-rJqm14AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzD5yoHMr7EsRS3wTN4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz3feiKK9KBfS9LBBF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxXoJBy1OZU0JvOdKR4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwC8dxH78M2d20gxmh4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzFS68sh-r2X22kRpN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxmZujFJdcwUuAaTmp4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgwMFqmFBbpQUhoOPJZ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgxoIJkd3D4g6APxhoh4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"}
]