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G @thewannabecritic7490and it's not about what you are "pretty sure" of. The serv… ytr_Ugw8dAFy6… G Ai is a nothing burger. We were duped by these fools and now we’re screwed.… ytc_Ugy6iJRfS… G I'M THE BEST UNDERRATED AI ARTIST USING MY REAL IDEAS REAL SHIT EVERYONE ELSE EI… ytc_Ugytdy0Eq… G Saw your programme about Ai and the killing of the Health insurance in America. … ytc_Ugx7FSLH0… G Here is when our sixth sense comes into play. This AI paradigm shift, moving fro… ytc_UgxD0chsg… G i think most of us have already worked this out! and we don't need a book, which… ytc_UgzM16Yn3… G The biggest problem is it can be trained around, and the next algorithem will ju… ytc_Ugyyei6sZ… G People are going to fall for and become emotionally attached to these things as … ytc_Ugzn0ZcC5…

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