Raw LLM Responses

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G For a moment I thought she became pregnant due to facial recognition technology.… rdc_jv7lihk G it's a problem for nvidia as they showed that you do not need the latest and the… rdc_m9g75og G When I use ChatGPT, I'm always using it to experiment! I love giving ChatGPT pro… ytc_UgwSWIX07… G i love this because someone screenshot my art and just 'enchanced it' with ai an… ytc_UgxaySGaQ… G The scientific definition rarely correctly used is for A.I.: When a Blonde dies … ytc_UgyzF0Z9z… G More than likely openAI was bringing a lot of money to california for their "sma… ytc_Ugws3rtIt… G All information has value. Information that was considered valueless was simply … ytc_UgzGRDaDc… G I wouldn’t say we’re doomed. AI art is so lifeless you can tell it apart from th… ytc_UgwlSz_X5…
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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