Raw LLM Responses
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If AI is logic based for “reasoning” humans already are more intelligent as we h…
ytc_UgwHuR7mW…
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Next they're gonna build a machine that implants memories, so you don't actually…
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Robots do not have feelings. 😂 This so funny, lol. He raised his hands to submit…
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Care to propose any actual jobs that humans could do in the age of AI that can't…
rdc_kif61m4
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It's funny now. It won't be later. Now more than ever, we are being warned more …
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While I appreciate the video, AI is not a problem just in the art world, it is t…
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Well his evolution theory is wrong so I'm gonna say this ai revolution theory is…
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Why is everyone so sure that LLMs don't work?
It's OK to be skeptical, but how c…
ytc_UgyWF0Byv…
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"}
]