Raw LLM Responses
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G
Amazing interview!
Sorry but for my personal experience (living in a 3rd world…
ytc_UgwB_BiY9…
G
One thing that struck me is at around the 29 minute mark he seemed to absolve hi…
ytc_Ugx6mHego…
G
Blog articles are usually awful prepaid propaganda full of bullshit and false in…
ytc_UgwKBbqaU…
G
I'm so prepped for AI rights. I watched Cloud Atlas and I was like machines are …
ytc_UgiLNSy2w…
G
i've been drawing for over a decade and i still suck, still would rather draw my…
ytc_UgzpIVnGq…
G
Give me one GOOD reason sentient AI shouldn't have rights. Basically, please shy…
ytc_UghdcyUz8…
G
Humans have enough humans to talk to. Why would we need a robot?
The main thing …
ytc_UgxEeY5zX…
G
The birth rate will completely nosedive and rich people will wonder why. People …
ytc_Ugxlfwe1n…
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"})