Raw LLM Responses
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G
Is this an example of current society being more white biased and the data set u…
ytc_UgypRUpxW…
G
If man were basically good AI might be a good thing.
But man is not basically go…
ytc_Ugy2pDngk…
G
They are afraid of getting sued I’d imagine, donotpay, which was an ai lawyer, j…
rdc_jha2xcw
G
Driverless trucks will fall apart if used on the current dilapidated highway sys…
ytc_UgjZhRIHo…
G
Except, the reality is that the person knows whether it’s real or not.
Not to …
rdc_ls6i8sx
G
The fastest way to know if a religion is false or not, is if the reward of follo…
ytc_UgxFm3PKF…
G
Why would ANYONE be stupid enough to own a self-driving car? Even AIRLINERS cos…
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I know this feels strange and AI bots shouldn't replace human companionship. I'v…
ytc_UgwDG6K8n…
Comment
Why Human Intuition Remains Beyond Camera-Based Autonomous Systems
Veteran drivers do not merely look forward; they continuously scan their environment in 360 degrees, integrating vision, hearing, proprioception, and subconscious pattern recognition. Neuroscience shows that expert actions often rely on anticipatory motor responses generated in the basal ganglia and cerebellum, allowing the body to react faster than conscious visual processing. Studies on expert performance demonstrate that intuition is not guesswork, but compressed experience encoded as rapid neural prediction.
Camera-based autonomous vehicles, however advanced, operate through sequential perception–decision pipelines constrained by sensor latency, data labeling, and predefined models. They lack embodied experience, emotional salience, and cross-modal intuition. Similar limits apply to robots: within constrained frames, machines exceed human precision, but they fail where contextual judgment, improvisation, and subtle anomalies matter.
This gap is not temporary. It reflects a fundamental difference between human embodied intelligence and algorithmic perception—where intuition and inspiration emerge from lived experience, not data alone.
youtube
2025-12-16T22:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzBBsIYwiL7EWZd1eV4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx7ECtXMrkJumgj6894AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwqFBfZ4DTmQ4eZcgB4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzWYev0gAu03J6KC6J4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyyLb6k3-2rxZtUovF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugyd-RIA9UO1eh_jXFd4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugxw_TMzSx13d7SLCTV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz56JOPOjTwoR02ddR4AaABAg","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxSduLmlfOnX07O5x14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgyIY1czsaI0ZrZ2fSJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"}
]