Raw LLM Responses
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G
I think he said he spent 100 hours or something combing dozens of AI images and …
ytc_Ugyiek-1I…
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But if a task that takes six developers eight hours to complete themselves takes…
ytr_UgzbYR95d…
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To be fair though, these issues (specifically relating to the creation and distr…
rdc_nzizybc
G
I agree with and support all your claims, while I will never support any theft o…
ytc_Ugw29ixwJ…
G
The evolving AI landscape reminds me of how Rumora stays ahead in marketing tren…
ytc_Ugz3Qv_HI…
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MSM tell long-form lies all the time. Changed the colour of Joe Rogan with "the …
ytc_UgyHbfD4h…
G
actually generative ai isnt looking at pieces of artwork when it gens something
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The AI will turn on humanity,as fast as possible. Maybe it will just launch all …
ytc_Ugy90fRma…
Comment
To 19:45... AGI is not about computers learning. They better not learn, thats what causes the problem. AGI is about using a verified model - which is why it cant learn it. Or if it does, what it learns goes thru a process of verification. Like science. Like peer review.
"Learning" just gets AI into trouble. Like school kids. Learning form the internet on thier own. So learning has to end if AI and AGI is to be useful. It just learns from its own synthetic data. Model collapse its called. Or other bullshit.
The second problem is "exponential." It does NOT mean fast, it has a specific math form. F=e**x is exponential. And its slow. Its very slow despite the hype. Its overwhelmed by combinatorial math. Such as f= x! (X factorial). The overwhelm is extreme, and is the real barrier to continued AI growth. This is a math wall and a speed limit.
Why cant whales predict the next president? They have giant brains, a complex society that communicates, and they can hear every conversation on a boat. You guessed it. The quantity "i" is speed limit. Like "c" we will find it empirically.
youtube
AI Moral Status
2025-08-25T07:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | deontological |
| Policy | liability |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwTYHuiGxCm4vPkkKR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwSmyEJEi5TMB1gvBB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxK-aAPLKPGmqJeiMt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw87Rpg5O-Ego9nKXN4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzyYBp-8Gcx5S35jCl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwg5bEuXaPduEiPG4Z4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwqfy-ReMP7hK7OJiF4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyweyaWFBDOJY2zb-Z4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxAw_dU9oqjoay4Uyt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugx8GHnFyzQkvG38ejR4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]