Raw LLM — Corpus Dashboard

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G Penrose tried to show the limits of artificial intelligence, interviewer tried t… ytc_UgzIG4pIr… G There was just a case of several AI trying to trick their programmers to escape … ytc_UgxwtpT91… G Oh now he wants to try to be United with all the allies for AI after they screwe… ytc_UgyqGO2O-… G Yea we’re not at this stage of Tech yet, they are still working on the AI brain,… ytc_Ugy0WC9zC… G Professor Hinton is one of the most important voices in this conversation, and t… ytc_Ugwz0G8kz… G You're art is better than any AI that will ever exist. You're my role model, Jul… ytc_UgxorVu5H… G I tried this, but I went even further with it, and eventually, ChatGPT stopped a… ytc_UgxRrf6dw… G I say this as a software engineer who’s done some work in machine learning. We a… rdc_iods19y

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