Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I feel like this AI bot is going to be so bad, not only impacting the person but…
ytc_UgzrQTduY…
G
Musk needs to be prosecuted for lying and false advertising. Now Tesla's AI is p…
ytc_UgwzWZljM…
G
AGI has nothing to do with our current chatbots. They are completely separate te…
ytc_Ugz2poI7F…
G
@vatterger 100%, I didn't even think about that.
The idea that you could use AI…
ytr_UgxZ45IpR…
G
Not to oversimplify, but AI requires hosting, data, power and leverage. Are we n…
ytc_UgzBCoojZ…
G
"...there's a very deep fear of being turned off to help me ofcus on helping oth…
ytc_UgxSAeio2…
G
In india 30 farmers die each day from 2014 to 2023 1,00,474 farmers have died be…
ytc_Ugz6y6eYG…
G
Imagine that thing goes haywire and it's jaw shut while the salami is in 😅🤣🤣😂…
ytc_Ugwq2DXI6…
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"}
]