Raw LLM Responses
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These AI Scumbags.. Braging about the time they saved from making a worthless "D…
ytc_Ugxj_93Pp…
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Scruples Tesla, Mercedes Benz, Otto, Uber and others are going to have driverles…
ytr_Ugh9AwpPs…
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And what’s worse is that LLMs has flatlined on the research front. The architect…
ytr_Ugyz2UwE6…
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There are 3 types of AI users, the one who make good use of it to do something u…
ytc_Ugzlvd2i5…
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I don't think I'd like anyone (AI or not) continually complimenting me and makin…
ytc_Ugy5RQExd…
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So smart i vote ai for president.. at least it wouldnt br curpt like all the wor…
ytc_UgzyeUS6F…
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As humans we don't fully understand conciousness so how could we ever possibly k…
ytc_UgwqTV1T1…
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The problem with video games and movies is that unless you can learn all of the …
ytc_UgxT-i_2J…
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"}
]