Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
I've played through the Mass Effect Trilogy, I feel like I'm adequately prepared…
ytc_UgjbVdE7E…
G
AI is as good as we create it , as good as we teach it , when AI does become sel…
ytc_Ugy4w4cCt…
G
Data Center Lobbyists and Car salesman, when their Lips are moving, they are Lyi…
ytc_Ugxw1lHlC…
G
06:10 In the specific case of google serving AI summaries that their model gener…
ytc_UgxU1hPdw…
G
well this is the thing. we appreciate all the details, we look into these things…
ytc_UgxO7JLhJ…
G
Oh please!
*Its not YOUR Ai, you Hippy!*
You are just playing with a predictive …
ytc_Ugwkr9vz0…
G
Which is not a very big number for his position, to be honest. A regular really …
ytr_Ugzobd14A…
G
Ewwww - governments need to shut down Super I-AI! Too many unknowns with multipl…
ytc_UgxR_XPGY…
Comment
LLMs are trained on both making grammatical sentences AND facts. E.g., if you ask Chat GPT for a list of the teams in the NL Central, you'll get a correct list of baseball teams in the response.
If LLMs were ALWAYS wrong, nobody would trust them. If LLMs consistently mixed up the Chicago Bears and the Chicago Cubs, ChatGPT would have completely flopped by now.
On the other hand, LLMs can go completely off the rails; the more obscure the question, the more likely you'll get a hallucination. They're accurate enough on extremely common facts to get people to trust them. That trust causes problems when the LLMs eventually hallucinate.
youtube
AI Harm Incident
2025-11-26T08:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgwgzyQfe96fAlDNXop4AaABAg.APyp1g0gIfEAPz-bJrvC3W","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwFLog5hlWfFcqtxE54AaABAg.APyZK1o5ADtAQ-IX3uSM6s","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugylj7j_KS1IwmLTbQJ4AaABAg.APyTAuYOV_8AQ-bZNeywGX","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwufNtt7xhOumxMnJZ4AaABAg.APyDnu26OdfAQ-GNep13RS","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_UgyOU3lKDCc3YUgh3O94AaABAg.APy6k8R-VbBAQ-HcNLSdki","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytr_UgzkpLNxjgN82k5amrJ4AaABAg.APxj8k64diSAPyBZVpYJGb","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytr_UgzkpLNxjgN82k5amrJ4AaABAg.APxj8k64diSAPyClKA3Dxs","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgyLDpsV3oY45imOJXl4AaABAg.APxg0uI_-JyAPzMjfZNHwI","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyOeJ0YKWuxLOrZLXd4AaABAg.APxYpF1ubA8APxZRy5HE4B","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytr_UgyJuvfU10rTaiC8jlp4AaABAg.APxPwJnvAYiAPxeLAkpib6","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"}
]