Raw LLM Responses

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The whole driver is in charge, can be applied to cars with Lidar also. No matter how cutting edge unless 100% safety can be garanteed drivers are always in charge unless it's like a driverless taxi, which are extra precautious. They stop even when not needed just because it's trained to be so. Lidar absolutely helps and is better than Tesla's solution. Tesla's camera based solution has many faults which Lidar solves. On top of it, they processing isn't as heavy as you would think. The data from the Lidar is fed into a ML model. These models although heavily resource and time intensive to train not so much when being run. And more over there will be chips that transform the Lidar to a more easily accessible and usable data. Apple is already doing it with the R1 in Vision Pro. These cars all have it. I would trust a car with Lidar more than one without it. The depth information it provides cannot be matched with a system reliant on 2D cameras. The best it can do is add another sonar sensor to eid. But since light travels faster, that also wouldn't be a direct replacement for Lidar.
youtube 2023-06-28T14:4… ♥ 5
Coding Result
DimensionValue
Responsibilityuser
Reasoningdeontological
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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