Raw LLM Responses

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Comment
@Joephnarro In Machine learning, we have 2 methods of prediction, regression (predicting a value, like the price of a house) or classification (dog, cat, human, ect.). The problem with cameras, is they are trying to classify what they are seeing (accident, no accident), and because accidents are random, thus no 2 accidents will look alike, they can't classify what they are seeing as "accident" with a very high confidence interval, and thus, they crash. Cameras don't detect depth, and even using multiple cameras with some basic geometry doesn't solve their flaws at night or in weather events. Lidar would have seen something in the road ahead, and 100% of the time, avoided it. There's a reason not 1 waymo has ever crashed like this. Until some new sensor tech is created, lidar will be 100% necessary, and the fact elon refuses to use even 1 lidar for front facing, is really sad for it's users who are machine learning engineers, and thus don't know how flawed this tech is.
youtube AI Harm Incident 2024-12-14T06:0… ♥ 1
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policyunclear
Emotionmixed
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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