Raw LLM Responses

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G I don't think we are fine exactly, yeah they not gonna rob or kill but people go… ytr_Ugwrkf4d_… G China is also quite advanced in AI, but it's balancing that advancement with job… ytc_Ugylur6S9… G Kid said he doesnt blame businesses for cutting costs and not hiring him to use … ytc_UgwG9vYOp… G Don't believe your lying eyes.... That's exactly what they want for us. That way… ytc_UgwuX9gBU… G If you dig deep enough into philosophy and thought experiments, you come to the … ytc_Ugz3DNwDb… G Regressive opinions. Private data set plus open source model equals AI. The diff… ytc_Ugxfda22P… G no...the ai is a tool and as such the one who pulled the trigger goes to jail...… ytc_UgzpKOMnm… G @michaelreed4078 Asking people if AI will destroy us now is like asking the Wrig… ytr_UgzU0EmuZ…
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When all this AI stuff started, I remembered that in college (back in the '70) I took a course over AI and all the programming was done in LISP. My conclusion was that LISP was not the proper way to implement an AI. About 5 years later, I worked at a hardware company that decided that they were going to create an AI machine. It was basically a machine that implemented LISP on the motherboard. My conclusion was that wasn't going to work either because is was based on LISP. But, by then, I understood that we didn't understand enough how well the brain worked to create hardware to implement it. Certainly, a Von Neumann architecture was the wrong approach. When these LLM solutions started gaining popularity, my immediate reaction was "That's still not going to work. The machine is still von Neumann." I'm glad to see that my prediction was correct. Someday we'll have a functioning AI but we really need a lot more research on how the brain actually works.
youtube AI Jobs 2026-03-11T18:4…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionmixed
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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