Raw LLM Responses

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G When the pattern recognizing ai recognizes patterns and they have to lobotomize … ytc_UgwSNZBOo… G How long until Tesla will have to change the name of this feature once again, to… ytc_Ugxf32tUe… G IDK if you've heard this one yet, but I think AI will become an artistic medium … ytc_UgxpwruD3… G Fuck, that'd actually make for a great line of dialogue in a movie. Sounds like … rdc_dlgqoua G Albert Einstein was a Marxist. Maybe if you had a brain you’d be one too.… ytr_Ugw4KaESR… G That ironically never happens for some reason. I guess the perk of being friend/… ytr_UgwJIAJN6… G Let someone make a deep fake of your mother , wife ( I doubt you have one with t… ytr_UgwkGFMh5… G @laurentiuvladutmanea Humans are also fundamentally incapable of originality. We… ytr_UgwvyI_rM…
Comment
Anyone with a good understanding of how neurons work and how transistors work know that a truly capable autonomous car without lidar is basically impossible. You can get good enough, but neurons and logic gates are fundamentally different in how they process information. Neuron clusters are evolved to handle tons of pattern recognition as quickly and efficiently as possible. Neurons have some really unique gate setups that are basically impossible to achieve on a 2d circuit board. Transistors were first and foremost designed for math, constant sensor checking, and calculations. Even the most rudimentary computers with a couple hundred thousand transistors could easily out number crunch a hundred trained people. You can't just take one and brunt force it to be good at something it wasn't designed to be good at. You need crutches to help bridge the gap. Lidar can function as that crutch for autonomous vehicles in the same way a slide rule and a multiplication table can be a crutch for a person doing math.
youtube AI Harm Incident 2022-09-03T15:3… ♥ 9
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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