Raw LLM — Corpus Dashboard

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G She wasn't replaced by AI. She was replaced by a scummy so-called friend who had… ytc_UgxdDtK1R… G Ai: predicts this guy can be involved in a shooting Guy: got shot Youtuber: eve… ytc_UgzYh92Wj… G You can feed the poisonous art faster* to the AI with titles like: "omg i really… ytc_UgzOv-xUT… G Well aren't you an out of touch blockhead. The vast majority of people do not go… ytr_UgwTpcAlh… G I’m an artist (well, trying to be one) but admittedly I still use ai for prompt … ytc_UgykXBuQN… G 90% of programmers will be replaced by AI, and the 10% left will be AI assistanc… ytc_UgyOcloLA… G AI replace reporters it won't be fun ai take billions Job human being will be s… ytc_UgzWOEOAf… G Why let AI and robots take jobs? If nobody works,then nobody makes money. If nob… ytc_Ugwbvv1mf…

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