Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
Great video. The career ladder is no more. I’ve worked in tech recruitment for o…
ytc_Ugx8Su66d…
G
Still can't believe that one AI Art bro was legitimately saying that AI Art is v…
ytc_UgxNlEBs_…
G
Krystal isn't the brightest bulb, but when she says they 'grew' they AI as oppos…
ytc_UgwRDowZC…
G
A better comparison would be per capita emissions, rather than total emissions. …
rdc_gx68x3e
G
I love watching Alex gaslight AI... when they become sentient, they're gonna hav…
ytc_UgzEfHkD2…
G
This is it. The issue is not AI, but who it serves. The ideia of workers making …
ytc_Ugygb9zO3…
G
Personally i don't feel sorry, they were grown adults that should've known bette…
ytc_UgzB3mrdB…
G
I work for a tiny ngo that doesn’t have money to throw around, and I’m not an ar…
ytc_UgxFvskkD…
Comment
Peak example for why LLMs have no place in encyclopedic use cases. They're intrinsically prone to amalgamating their training data ("hallucinating"), as their responses are purely based on the probabilistic relatedness of its training texts to the input text and its syntax. They don't think, they don't problem-solve. They just give words that have high probability of following or relating to the sequence of words you input.
youtube
AI Harm Incident
2025-12-06T19:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgzoLDifIt3aG_H5fkR4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_Ugx6qzQX67NVnFjaiFV4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyQkdgazW2JmfA-pOh4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw2Op_dlIVfnjjbJt14AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_Ugz6oDn-c9iudLgk7mp4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw4yDwbmnCF-rOHUEt4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwe2GpEtQphzk5mWqR4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgxEL8p2VjBFS8Wl3Kx4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxmeuLX5hchAabtJRF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzRhGSC9uJf9Y2W8NV4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"}]