Raw LLM Responses
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G
Driverless? Then why is the sleeper on the truck?
Huh?
The tare weight …
ytc_UgxDQhgRZ…
G
Its going to be almost impossible to stop this or even make it a crime, it will …
ytc_Ugx0AJf2-…
G
Google CEO seems like he’s greedy.. wanting the AI to show him things that no hu…
ytc_UgyShI6hJ…
G
I'm in big tech right now. The vast majority of employees actually being replace…
rdc_nma086z
G
Ask yourself a question. What does a human organism have that AI will never have…
ytc_Ugx2vWpFL…
G
Why is the human race allowing this total destruction of humanity happen God wil…
ytc_UgzERxEhc…
G
The Statement: The Universal Zero-Day Exploit
The Theory: If the universe is a …
ytc_UgylasSC1…
G
The death nail in humanity's coffin is humankind's insatiable greed. Once AI und…
ytc_UgzDzGtkb…
Comment
I'm an electrical engineer- one of the quirks with automotive radars is they don't have pixels, like lidar. Theres one long continuous return, eg the road returns a signal from 0 distance all the way to the horizon. Cars/trees etc cause humps in the return as a stronger signal is reflected back over an range of distances. Clustered stuff returns one big hump.
An algorithm picks out those humps and decides they are objects, and then another algorithm guesses the direction towards the center of the blob. Its always pretty off, because its hard to tell the ground around it from the object. Bottom line, its easy to trick the radar into thinking one object is two or vice versa. Or there can be internal or external reflections that lengthen the radar path at certain angles, which change distance as the car moves or rotates.
Lidar always has at least some pixels that are good. If you can filter out the quirky reflections etc, you get an unchanging, accurate distance. Radar is unavoidably bouncy, and that bounciness is always easy to interpret as sudden braking.
youtube
AI Harm Incident
2022-09-03T19:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
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{"id":"ytc_Ugy09Pax8SAt5Kcc3Ut4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugz8JWfitD7jCXoigh94AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzixXhx7_umaWo02Tt4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzJQIYNEiLDApukNch4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzHCiHGDsFOTk8f91B4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugz36zUpe7cdSyjL7xt4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgzFi1J5aGlKEd8vYP14AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzxOP-UykYOEhuJrL54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy1MWLhqkzpjwUMaTh4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"})