Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
There will definitely be some suppression by the military junta of Thailand. The…
rdc_dy84pfr
G
One of the main things I can do is teach my children about climate change and ho…
rdc_emn3gv9
G
Good evening I dont think its AI just like I don't think it's nuclear weapons Id…
ytc_UgzZs6ueN…
G
If you think about it AI is just a reflection of humanity or what humanity think…
ytc_Ugwns07aX…
G
AI Art = Generated Image
AI Artists = Prompters (Wtf did they do to contribute? …
ytr_Ugx1yzghY…
G
@isanzuru I was running some local models, and I gave them a system message alon…
ytr_Ugwzn2JNy…
G
Washing machines, bread makers, microwaves, multicookers and so on. Now a very n…
ytc_UgyVjjIRC…
G
@22:00 - Of FFS. It's not the AI models that will be the decider of benevolence,…
ytc_Ugyn-r8lj…
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"}
]