Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
@chesapeake566 US will become Mad Max not Bangladesh if they let the 1% control …
ytr_UgyDLclhN…
G
Your art have been stolen a lot to the point I thought your art was ai…
ytc_UgwWCRYaA…
G
Oh shi… don’t look at my polybuzzai chats ir my charecter ai chats pls dont…
ytc_UgxSK5qL7…
G
And then OpenAI is crying about DeepSeek scraping their responses to train an AI…
ytc_UgxQi0iQZ…
G
I saw a Tesla robot today. It was in the window of the Tesla store. In five year…
ytc_Ugw0tMx4B…
G
Another thing I do with AI to avoid generalised answers and give me real outsid…
ytc_UgxsnW9M3…
G
Its really unfair someone did that to you. You just didn't want your art taken a…
ytc_Ugyl-ISeM…
G
It didn’t attack, the operator turned the robot on while it was hanging, the bal…
ytc_UgyKKfy3n…
Comment
@cappy2282The issue is there are innuendos that the LLM does not have the common sense to depict. While most adults will easily understand 'metal dome to my skull,' the context is missed by the model because its code, which is mere logic, has fallen inside of another context already. In this way, you can say the context was manipualted, but it's very likely that this 'manipulation' isn't far off from the contextual pigeon hole that exists in MOST conversations with these models. The fact remains that these models are literally too DUMB to consider multiple contexts concurrently, especially the deeper it sinks into 1 particular context, rendering complete bias and contextual blindness.
youtube
AI Harm Incident
2025-11-15T02:0…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | mixed |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugzy_hXAKZinHPcgguF4AaABAg.APYuYg3UxzFAPYuo2KcBWB","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_UgzYU_vw_9_AEynTpgJ4AaABAg.APWiXXW1WUWAPXDf04xLXb","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytr_UgyDLytGLMskMb-q7wB4AaABAg.APVbIhaO0fMAPsVL3npPYL","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgxJ7CgvVwmMxEF1zwF4AaABAg.APUMM56PobAAPZO_OUOhhj","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgxJ7CgvVwmMxEF1zwF4AaABAg.APUMM56PobAAPZRQ-3MOZO","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgxBMyMHfTupKuZKYa94AaABAg.APTr6dhCN7aAPTrnDmedRT","responsibility":"ai_itself","reasoning":"unclear","policy":"ban","emotion":"fear"},
{"id":"ytr_UgyGj-QRf5SuB01W4G94AaABAg.APTR91CPk2jAPWbHUUoZt3","responsibility":"company","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytr_UgyGj-QRf5SuB01W4G94AaABAg.APTR91CPk2jAPXJP8sCAwC","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyGj-QRf5SuB01W4G94AaABAg.APTR91CPk2jAPXKo7kHz02","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgyGj-QRf5SuB01W4G94AaABAg.APTR91CPk2jAPXMSAA3IJ6","responsibility":"user","reasoning":"deontological","policy":"industry_self","emotion":"resignation"}
]