Raw LLM Responses

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15:00 Computers winning at Chess via Brute force analysis isn't AI Chess is a solved problem, every single possible move is able to be and was simulated by Deep Blue when Kasparov was defeated, that's not really AI that is just being omnipotent, its same thing when Watson started winning at Jeopardy it was basically operating as a NLP with half a significant amount of Wikipedia backed up in its data processing so it could essentially act as a natural language search engine with a front end that could form its answer in context, which did involve some neural net processing and could actually be called AI by modern standards. However what we have now is more similar to DeepBlue simulating every chess game than Watson being able to identify context, interpret the question into logic cells and then search its informational database with a response that appears to be logically consistent with the answer to the question. Generative is a brute force paradigm designed specifically to predict what the next element in the sequence is and is unable to contextualize any information outside of its predictive analysis. The idea that a machine that is inherently unable to be aware of external context could become AGI shows a deep lack of understanding of how these systems work.
youtube AI Moral Status 2025-07-23T17:2… ♥ 2
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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