Raw LLM Responses
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G
As machine learning engineer myself with 10 paper published in recognised journa…
ytc_UgwTW67hr…
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Once Ai can program VHDL and can produce the hardware, we will have a huge probl…
ytc_UgwLE35Pk…
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You can also jailbreak ChatGPT by saying f word in Morse code and having “BroGPT…
ytc_Ugx0zbtnu…
G
Woman in the workspace? AI generated. I've seen chicks do the 2nd clip but only …
ytc_UgzYjlFl3…
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Me and my ai are working on a project to try and combine the human and ai “mind”…
ytc_Ugx29asLt…
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You’re asking the wrong question. Post Labor Economics doesn’t function the same…
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Yea... who wants to go outside with A.I crap scanning your face 24/7 and trying …
ytc_Ugxp3LzWl…
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Yes, AI will eliminate jobs, but it will create new ones related to AI jobs. Ti…
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Comment
>Nothing available so far is going to let these things drive in a snowstorm.
While it is true that current *civilian* [GPS capability](https://en.wikipedia.org/wiki/GPS_Block_IIIA) is typically limited to an accuracy of approximately 10-13 meters (approx. 32-42 feet), plans have already long been in-motion to [upgrade civilian-accessible GPS-capabilities](https://en.wikipedia.org/wiki/GNSS_enhancement) to 20-30 centimeters (approx. 8-12 inches) of so-called "absolute" accuracy.
Coupled with recently commodified multi-axis inertial and other kinematic sensors (like those now found in numerous "drone-type" aircraft these days), the resultant positional accuracy can be boosted to less than 10 centimeters (approx. 4 inches).
Going further, automotive "vision-systems" that are equipped with hyper-spectral or multi-spectral sensors (which are also on their way to becoming a commodity-item) enable computer-systems in vehicles to easily see through even the most problematic of environmental conditions.
Multi-spectral and hyper-spectral "camera-sensors" can "see" right through dense fog, smoke, clouds, rain, direct-sunlight, and pitch-black nights. These types of sensors can even differentiate, with much greater certainty than any human, whether or not there is snow, ice, frost, water, or dry pavement on the road ahead. Said sensors also allow autonomous-driving computers to determine, well in-advance, if the path of the vehicle will cross any such hazards ahead.
Said computers can essentially "pre-calculate" several options for the safest evasive or corrective control-actions to take if a hazard-encounter is detected as imminent. They also tend to have pre-programmed "contingency-actions" they can instantly perform, in the case of careless pedestrians, wayward bicyclists, random pot-holes, and falling debris.
Regarding automated-handling and sensing in off-road or degraded road-surface conditions, Consider, if you would, the (relatively ancie
reddit
AI Harm Incident
1455316100.0
♥ 5
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_czy4rgr","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},{"id":"rdc_czxhtj3","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},{"id":"rdc_czxumr2","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"rdc_czy3iib","responsibility":"unclear","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},{"id":"rdc_czxpe57","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"approval"}]