Raw LLM Responses
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The Robot is thinking, "who the hell is this dork and why is he on stage with us…
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I get that! Sophia's advanced AI can definitely come off as a bit uncanny. It's …
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SHOW ME HOW to take multiple AI Songs Stems and rearrange them in such a way as …
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I legit don't understand the claim that it's good for disabled people because...…
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Do you think the EU is going to curtail the AI growth in the military complex? T…
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Yea no artist wants to write prompts. Especially when it’s for ai. Ai doesn’t th…
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I graduated this year and now I am a lawyer 😅 and you are telling me 44% will b…
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9:23 Most people can't tell the difference between AI and real art, which heavil…
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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"}]