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G It's clear this lawsuit was so that they could have the monopoly on AI generated… ytr_UgyJSBQ1c… G It's rather unfortunate because though it's painful to admit that any form of Ar… ytc_UgxxR_f44… G If anything I expect China to come up with public policy to counter AI’s impact … rdc_ogq197i G Drawing with an iPad and generating AI “art” is not even nearly the same. Your s… ytc_UgzJwgwou… G Abusers love silence. Call them out on their behaviour and you will instantly be… ytc_UgxXMih-p… G Well I have a Google phone and my school requires Chromebooks to be used. So I'm… rdc_f6o7fd0 G - The ChatGPT “apple” sequence is not truth in the sense of hidden revelations; … ytc_UgzxUkH_1… G This was essentially a convoluted way of saying “ *I* killed the 10 year AI regu… ytc_UgzTE_axK…

Comment

Elon has clarified this multiple times, but let me reiterate it here. The decision to rely on cameras is not a cost-cutting measure—it’s fundamentally about making the car safer. Anyone familiar with Tesla’s track record knows that the company never compromises on safety, which is why all Tesla vehicles consistently earn top safety ratings. The core issue with using multiple types of sensors is that they can sometimes provide conflicting inputs, which introduces ambiguity for the onboard computer. While this doesn’t happen all the time, when it does, it can lead to incorrect decisions. To avoid this, Tesla chose to simplify the architecture (note: simpler, not simple) by relying on high-definition cameras positioned strategically around the vehicle. This setup ensures a unified, consistent stream of visual data that allows Tesla’s centralized AI system to make the safest and most accurate driving decisions possible. This is precisely why, in your second ride with Waymo, the car hit the curb—conflicting data from different sensors confused the system. Hope this helps clarify the reasoning behind Tesla's vision-based approach. It is not to cut costs.

youtube 2025-06-25T11:4… ♥ 8

Coding Result

Dimension	Value
Responsibility	company
Reasoning	deontological
Policy	none
Emotion	approval
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgxsTMzoWaslVWXnUBR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugy4ULWbt5kjzoUjiQZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyBpgePrM0klKNCrHB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyFS1pyBMQiWJWKj5h4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxT6q-khenXi0OIm8J4AaABAg","responsibility":"company","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugx4uUZ8M4-Ci5ek7GB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwXhmegeN78tzSX9Q14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxLWCy4piTP4xguNF94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzELA98VsnRjd-PcP54AaABAg","responsibility":"company","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugzd1uiAKZbKvvtT-PJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"approval"}
]

Raw LLM Responses