Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I doubt Balaji abandoned his career and committed suicide because of copywrite i…
ytc_UgyUCzUMX…
G
AI will retard human brains, create biggest fools and idiots and then apocalypse…
ytc_Ugxnuo-Ch…
G
All this anti ai software is so cool, I saw this one music YouTuber (Ben Jordan)…
ytc_UgzNk2Lmx…
G
@PentaFanAccountThey were paid for it for sure but I doubt that the contract al…
ytr_UgxLMdNcQ…
G
What ChatGPT supplied in response to the lawyers' request was different. Instead…
ytr_UgyHXxLCw…
G
The lashing out at anyone critical just speaks to the idea that AI (particularly…
ytc_UgyI-twUt…
G
I work in data integration. We are moving to databricks which is the base for AI…
ytc_Ugx9CwNra…
G
I don’t think this is completely the AI’s fault, it’s the people who are misusin…
ytc_Ugydncrk2…
Comment
While using radar, if the closing distance to an object is equal to the vehicle's speed, then the object is stationary. If the other vehicles are driving through that object (such as an underpass) then trust the vision, if not then trust then trust the radar (such as an object that other cars are reacting to).
In the case of the morotcycle rear-end, surely using the camera at night AI/CV confidence is reduced. In this case the rader can sense the closing speed to the object (motorcycle) is not the vehcile's speed so the object (motorcycle) is moving along the road. Using sensor fusion with the cameras means the object can be detected and classified using AI/CV, but distnace can be verified by the radar.
Surely the ability to patch the software with additional sensor fusion should always be the option, rather than removing sensors and therefore this added benfit (ignoring the LiDAR option).
youtube
AI Harm Incident
2022-09-04T13:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyoccfQ828_KCVGAmJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyqumgtzbF2qq-CjNR4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwokRuJt991aa0Hrs54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzfuPPCBHNX8x42XzJ4AaABAg","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgwDD6K8Jfjo6cKnK2N4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugwv7AAmmhE2B_cwOpp4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugyn4CMXhWxCTgtDxux4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxNr3v69V9BOUM4S9h4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzncvP7W909pdLQbNZ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"fear"},
{"id":"ytc_Ugw4WwymQMDmlQCTmkR4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"}
]