Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I think you make a great point for the interpolation vs extrapolation argument. …
ytc_UgyOhRPxz…
G
Bard also claimed google owned bing chat enterprise for me. “ Since Google was g…
rdc_kcnvtlh
G
Again this guy is full of shit, a robot needs no food shelter or water especiall…
ytc_Ugzx75t7R…
G
Exactly. I’m not afraid of factory-use AI. Let Amazon abuse robots instead of pe…
rdc_jif72uy
G
@undertalefan69 Where’s their toxicity? All I see is "traditional" "artists" tr…
ytr_Ugw9ZLBF-…
G
When it comes to security, we need to keep in mind that laws exist — but they ap…
ytc_UgxhpD7a4…
G
Those who say " AI will not take any jobs, go and see how much jobs computers ha…
ytc_UgwStKZGs…
G
C'est vraiment bien fait,un jour où il y aura vraiment des femmes et hommes robo…
ytr_UgyhjPLv-…
Comment
You have to understand a little about how AI works to understand why these kinds of things happen. Tesla autopilot only uses vision rather than radar or lidar. This means that it has to analyse a a series of pictures to determine what is an obstacle and for the most part it is very successful at this. Problem comes when it sees something it hasn't been trained for, in this case a motorcycle on a long straight road or in the case of another recent test a small child standing still in the road. In both cases the AI became confused and ignored the obstacle driving right through it. This is the shortcoming of AI, it can become confused just like we can become confused and make mistakes while driving. Difference is the mistakes primitive AI makes often seems insane to our much higher functioning brain. All this tells us that although Tesla autopilot is very good and advanced tech it is not ready to be used on public roads, not at all.
youtube
AI Harm Incident
2022-09-19T09:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwRAc1cpVtv3KqMvrR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugw0QPN7rCVGJkXyXTV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxAophKuEdZu96R_tR4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugzs54X6AL70KsgkbsV4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugwxa-eI271z4EOd_8x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzMeZ2kJodXqAm5BM14AaABAg","responsibility":"government","reasoning":"contractualist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzJNasqhuGRVyKdgn54AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxRUgAoXueYjt4oUit4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw86r_DMDrD6uDOCRx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugw8Ei10EazxKqe_xAN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]