Raw LLM Responses
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We have to treat AI like wild and domesticated animals and we will be just fine.…
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I’m fine with driverless cars, but not on a highway with people. Corporations wa…
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if you're doing content for school or work, best to run it through Winston AI ju…
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@ neither I am, I just find funny people who say AI is worse for people when its…
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I've been a 3D model artist, working with games engines, for 22 years now. I onl…
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AI doesn't have to be sentient to outsmart humans. it just has to be smarter tha…
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Isn’t it funny how much the AI companies risking all of our lives in pursuit of …
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Unregulated AI is a clear and present danger! 🤬 Greed Rules, they do not care!!!…
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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
[
{"id":"ytr_Ugwn1UHxRPEWCR7_9eF4AaABAg.AOv7pWZq5QkAOvkJTayCuD","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"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"}
]