Raw LLM Responses
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G
Automated robot soldiers would be the perfect gun for a government. A government…
ytc_UgzQLY94V…
G
Ok but like have you seen some ai art? It's like a nightmare that gives you a he…
ytr_UgyO5gvq0…
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I am at a loss of words. One of my all time favorite YouTube videos! I was hesit…
ytc_UgylBmSHC…
G
Do we not remember Terminator or I robot. Robots taking over the world is not go…
ytc_UgzYnCbJI…
G
Maybe you can learn some French words, we're not accommodating you (anglos) this…
ytr_UgwGYC-Gd…
G
The only times I use ai is literally just for brainstorming. The second I find m…
ytc_Ugz1cpaXh…
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People creating AI love to say "No no no, this will actually HELP you in your jo…
ytc_UgxStXYzZ…
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I'm wondering why Sam Altman move his head suddenly left and right like a robot.…
ytc_Ugz9Neg_G…
Comment
Don't interrupt him in the middle of an explanation please.... Also, Penrose is obviously 100% correct. We currently do not have even just a theoretical framework in which a conscious AI would be possible. It's not a langue problem. It's a theoretical design problem.
4:53 It's also a total non-question. You could have an AI re-identify and re-categorize the world, using it's own rules set. For example, the color blue now is called 'red' instead or a cat is now identified as a 'dog' instead. It would be valid within the new rules set. But it wouldn't be 'truth' in the sense of how we experience or defined the world. Penrose is also right in how 'why' something being true and actually have a real understanding is important. None of the current AIs are able of explaining why they vomit out a 94% chance of their answer being correct. They _at best_ can provide some sort of statistical analysis of why their search result gave an answer, but they won't reason / argue correctly why something is true (unless specifically taught 'why'). I'm not even sure current generation AI understands what it means to 'guess' an answer.
youtube
AI Moral Status
2025-07-31T09:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | unclear |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgysCaw2IlAL8GU5iT94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxkaTkbIhgimwwFXHl4AaABAg","responsibility":"none","reasoning":"deontological","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgzT6fElH3xvnRyUGxF4AaABAg","responsibility":"none","reasoning":"deontological","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgyrPkMWU5cMqAqQe8N4AaABAg","responsibility":"company","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgxAJEhKtwHzWI4HpvF4AaABAg","responsibility":"none","reasoning":"deontological","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgwOTJc772mlExwRbvh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxhG8lqQ-EGq3-x8wV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugw8s4M98z7e2dcdwe54AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwZY6cb-y_jb-EpAo54AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwBQp3XCuITb3c9X194AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"}
]