Raw LLM — Corpus Dashboard

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G They post this, but didn't seem to link it to how the IRS now wants to collect b… ytc_UgyKwXiYy… G Someone should mention to these assholes that elections have consequences. That’… rdc_f508xu5 G Koreans party hard though in the hours between shifts. Some of the heaviest drin… rdc_dv0hasc G Stop falling for this garbage. Its all marketing hype bullshit to convince you t… rdc_n0guqoy G I agree, this is typical reactionary reddit bullshit like they do about everythi… rdc_m2d3bgx G And here's the thing, AI uses stock phrases. And here's the kicker, these stock… ytc_UgxyIttl6… G I am not sure AI can interview anyone on topics. I am more sure AI can interview… ytc_UgxVnRo3Y… G People do bad things always have and AI will provide the worst imaginable opport… ytc_UgwH4fhLR…

Comment

Large language models are a genuinely strange and fascinating phenomenon. I'm not an expert in AI or transformer architecture, but I understand the basic premise: they analyze massive amounts of text and use statistical patterns to predict the most likely next word in a sequence. That may sound simple, even mechanical, yet the result is conversation that often feels sentient, especially to those less familiar with how the technology works. What's truly remarkable is that something so clearly not alive is capable of solving real-world problems with surprising effectiveness. For instance, ChatGPT has outperformed the average board-certified physician in making complex medical diagnoses. Many patients even report that it comes across as more empathetic than their human doctors. It can also write compelling poetry, summarize dense academic papers, pass graduate-level exams, and generate sophisticated computer code. So while it is neither alive nor sentient, its capabilities challenge our assumptions about what intelligence and understanding look like. It may just be statistical prediction at its core, but the outcomes are anything but dumb.

youtube AI Moral Status 2025-07-09T20:0…

Coding Result

Dimension	Value
Responsibility	none
Reasoning	unclear
Policy	none
Emotion	approval
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_Ugy93TqimZBDwVqBpux4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgycpVPXhmtJ1-lR_r54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz73AQAmz4mUAKeE9p4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzYKur8s-Cyc6fvovJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwfgpCATNG9C0Qb0Kd4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwrCAYjiRYbL-F_42J4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwnoQRPEAzfXYT8K094AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwL5wv5dzA4qeINxs94AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzsnukLOd-NrERuhAx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwJFefBumrh6dyYYJZ4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"liability","emotion":"mixed"}
]

Raw LLM Responses