Raw LLM Responses
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In an ethical society, AI could be a miracle. In the immoral and greedy society …
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basically he got sent to prison because he was found in possession of a pornogra…
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AI art & music has been showing us how unobservant & tasteless people can be.
Ca…
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The widespread layoffs is not because of AI per se but because human employees a…
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Seems like a dude named Yang was talking about this coming. Too bad they voted i…
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Im a first year college student and my main professor uses ai to teach us. He ha…
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The "for free" part seems tricky to me... I have no idea how can X, Meta, Google…
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0:32 after watching the news. the company became angry, and this is why this rob…
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Comment
The Chinese Room thought experiment is effective because it sneaks in a hidden assumption and exploits it. Obviously the room annually understands. If the book was an actual book, or set of lookup tables, it would be larger than Earth. In order for the book to actually be able to carry on an arbitrary conversation in Chinese (or any language), it has to be a neural network. Whether it is conscious is a completely separate question that has nothing to do with the concept of "understanding."
The symbol grounding problem has been solved. If you take every concept and relate it to every other concept with very large vectors, it turns out you can encode the actual meanings of words.
The world's leading experts have no problem saying that LLMs reason and understand, because they have the technical background. They know how LLMs are trained, and how compression of the training data results in independently rediscovering higher-level patterns and abstractions that allow them to generalize out of distribution.
To directly answer your question:
Yes, it is an empirical fact that text models are world models. See "Othello-GPT" and "Language Models Represent Space and Time" for early text-only examples.
youtube
AI Moral Status
2025-10-30T22:2…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
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{"id":"ytr_Ugwn1UHxRPEWCR7_9eF4AaABAg.AOv7pWZq5QkAOvoHZb3ZVa","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgydX9KsXkvPOd_CNVt4AaABAg.AOv7fyOrVw-AOv_fy9Rf7H","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgxgMNFsGxAFmiEM5tx4AaABAg.AOv7exHvnT1AOv_I3KavVr","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugz1e5I1tkoZ41iRjf14AaABAg.AOv7Zlb2_pgAOvD4vEejDo","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgwXGNnOa3vEPzKtm814AaABAg.AOv7I-ncmw0AOv7SIfa5Dd","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgwXGNnOa3vEPzKtm814AaABAg.AOv7I-ncmw0AOvAvbbVBCm","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgwXGNnOa3vEPzKtm814AaABAg.AOv7I-ncmw0AOxS6sKZjIe","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgytcW8C913YvoOJuI94AaABAg.AOv78JclSN4AOw7tnJIe-p","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxKoz5zpyRS9uGUv9l4AaABAg.AOv71aZLtrDAOvJ9nbl53N","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]