Raw LLM Responses
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G
"someone like musk who has no moral compass" jesus christ he was right about liv…
ytc_UgwmaPJu3…
G
Chatgpt - For research and brain storming
Studyfoxpro - For quiz solving and min…
ytc_UgzWVBbx7…
G
First thing AI will want to do is perfect space travel so it can leave earth and…
ytc_Ugy-Iefv0…
G
amaxiing ep. by the way, I don't expect GPT to beat Steven in this generation ha…
ytc_Ugx6sYxf1…
G
@kojiosita AI doesn't "want" to relate; chatbots give this impression because th…
ytr_UgxSEa-oZ…
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Geez I love ai. I used to sit down and write some simple macro for excel and it …
ytc_UgxfP1KRb…
G
the heck why doesn elon musk becomes a robot? 😂 the guy bot looks like him…
ytc_UgwjyM5CS…
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So what are you one of those that cry when something is ai when literally the hu…
ytc_Ugx4LKo-j…
Comment
The option for radar vs optical registration vs LiDAR, is that you match camera vision and human vision, ie tracking what the driver is watching and if they are focusing on objects the vision system has recognised.
The problem of CV is that a computer can’t assign objects easily if the training is incomplete.
It can infer the presence of traits in an area, but if you are also driving over the same area on the same day, you can also learn from drivers who are manually driving as to what the prediction and the human is doing to create inferences and test them with simulated or “supervised” events. This can cover any phantom braking or passenger awareness that the driver hasn’t seen.
The biggest downside isn’t the cost, it’s the liability of using legal entities ie humans, who have intellectual faculty and responsibility for their actions. If you hire 10,000 monkeys to drive and the AI crashes, having been trained by the Monkey Army, who is legally culpable. The Monkeys or the AI trained by Monkeys. Or the Car. Or the engineers who powered up the car, etc.
youtube
AI Harm Incident
2022-09-08T04:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxK4_elPdXWxQTWeZF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyRIpkhK6pAE5RoLFp4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_Ugyk910TL8bmnkm3Htp4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"indifference"},
{"id":"ytc_Ugx4W2Ae7HUxVuFcijF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyjkyjFCYjI73Hc2cJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugw6i-EubAmyrVjD3wp4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxUywcP9y9GRkG9lmJ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugzx8eCg8R7-rY8CiHV4AaABAg","responsibility":"company","reasoning":"unclear","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwIJMmRXN7zbiWDOWd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyZpzXlXYzzdDr1wht4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]