Raw LLM Responses
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G
HEY. I know_ ill just walk all robotic . pretend you are a robot if this happens…
ytc_UgwZi78dR…
G
But...but we can't put any regulations on the AI industry!! We need to let the t…
ytc_UgwpWq2OV…
G
@simonedeiana2696Still owned by Elon. Also not art by definition.
The prob…
ytr_Ugx3LUAbi…
G
While many fear that artificial intelligence will permanently eliminate vast num…
ytc_UgzWKvwB5…
G
If someone saw my character ai chats i do anything for them not to show it 🤭🤣👹✌😈…
ytc_Ugz9axL86…
G
Predictive Policing? What kind of ridiculous euphemism is that for violating our…
ytc_UgykuQRGc…
G
8:35 First you ask an AI to give solutions without moral boundaries,
and then ur…
ytc_UgyXxO9lg…
G
Actually, the female AI voice version sounds more natural, I don't why she didn'…
ytr_UgxoW9FFG…
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"}
]