Raw LLM — Corpus Dashboard

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G 3:08 it's really not that weird. Humans do this all the time, and since these pr… ytc_Ugz-wjt_Y… G I can get into my teenage brothers phone with facial recognition. _The horrors… ytc_UgymMmQ88… G I am from the future the ai took over between two sects those who viewers humans… ytc_Ugyq8GN0y… G So that means AI could take over our government and do a way better job then wha… ytc_UgzfChaWq… G AI is crap. It incredibly inadequate. Every interaction I've had with AI in cust… ytc_Ugzx9nBuh… G It honestly would be better AI being over soon than AI won and make things even … ytc_UgxEQH0kN… G ? obviously people making content by themselves and with their consent is differ… ytr_Ugw65LcfC… G One thing ai does is have weird similarities across the picture, like giving peo… rdc_oi2ywrw

Comment

That's the problem with LLMs. They are not really AI centric. They are word prediction centric with AI aspects layered on top. LLMs are not “intelligence engines” built from first principles of reasoning. They are essentially statistical sequence models trained on huge datasets to predict the next token. The "intelligence" we observe is an emergent property. When the model accurately correlates billions of complex linguistic patterns, the resulting coherence and synthesis often mimics human logic and reasoning. The core debate in AI centers on whether this potent mimicry is sufficient. They need to rebuild AI from scratch. LLM's are cannot be used as the core of AI models. They can only be add on ancillary functions. LLMs are a clever hack. Scaling up text prediction gave us something that looks like reasoning. But they aren’t designed as grounded intelligence systems. The consensus is that pure statistical correlation is insufficient for achieving genuine artificial general intelligence.

youtube AI Responsibility 2025-10-01T15:1… ♥ 15

Coding Result

Dimension	Value
Responsibility	none
Reasoning	consequentialist
Policy	none
Emotion	indifference
Coded at	2026-04-26T23:09:12.988011

Raw LLM Response

[
{"id":"ytc_UgxMe43FzP66TdPrYVx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugx3ZCioQOPBCemRVzZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzwcW2aXCRk6wSYJZp4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzCqS-xK3HTsAhl7994AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz78xlpT6JwaGxVKvR4AaABAg","responsibility":"company","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugx5MIj2ulqkUsuuZMd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw_aChV5LfMkpKO0FJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzSVoK2QmXVM3NfaDh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwKfl7sMwmRh21c7F14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugx_RQr0CdouoZmO5UJ4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"}
]

Raw LLM Responses