Raw LLM Responses
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People are already consulting to ChatGPTa since it is free, and as the video men…
ytr_UgzhYRi9Z…
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Look, I've spent a lot of time considering the negatives, and have come to the c…
ytc_UgwKmNvO_…
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hopefully because people are wising up and seeing that automation is going to ca…
rdc_dmp4io6
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you're simply describing the learning stage. once it is no longer scarily bad it…
rdc_fctc571
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All these AI's should be deconission the moment they chose to pull the lever. Wh…
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Companies and major tech giants are all trying to find money to invest in Ai and…
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I see AI as a tool like Microsoft paint not art in itself it's just used to help…
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I have been struggling to teach ai that two side of a rectangle are equal . I ga…
ytc_Ugwtz-42L…
Comment
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.
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AI Moral Status
2025-07-23T17:2…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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