Raw LLM Responses
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G
honestly there is nothing wrong with using the pose and composotion as long as y…
ytc_Ugy9DiITN…
G
They're probably trying to slow down MSFT and OpenAI's first mover advantage. Th…
rdc_je5bkok
G
the fact that corporations love this so much should be sound reasoning for doubt…
ytc_Ugz7Tx30t…
G
You're using AI to fight AI, seems fair, but don't act as if your not one of the…
ytc_UgwhDtCcY…
G
The only thing you need to be worried about is the ability of 5 tech company hea…
ytc_UgznWHPo7…
G
It sounds like he was just ready to do the deed. The program just reiterated wha…
rdc_nnjea8e
G
I have been a staunch advocate against A.I. since early on when it was just bein…
ytc_UgxuoSStT…
G
There will be some jobs needing one to keep AI going so AI will give us abundanc…
ytc_Ugy7aQlyI…
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"}
]