Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
All the people playing with A.I right.. you shall be held accountable when Sky N…
ytc_UgytNQCBQ…
G
already so many use cases failed in AI coders....due to high compliances.....ple…
ytc_Ugyb5c66Z…
G
AI has been out for 3+ years and you are trying it out just now? Yeah, bullshit.…
ytc_UgwwmAMi3…
G
Internet just needed to be pissed about something bro litterally has nft an ai i…
ytr_UgyWehrHz…
G
I did not yet get anything serious to work with AI! I don’t like coding 😢…
ytc_Ugx_JnKVh…
G
It’s just showing what the lidar sees with different colors it’s nothing insanel…
ytr_UgxRdXJI3…
G
If you are a household robot manufacturer and one of your robots attacks its own…
ytc_Ugyq6KOqN…
G
Worked closely in AI is just bundle of Advance Algo and software not a magic Big…
ytc_Ugx-OY38o…
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"}
]