Raw LLM — Corpus Dashboard

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G @zelle8651 if you want to give up, you can. If you want to fight, it will delay… ytr_UgzWujMYv… G It doesn’t help that he has Musk Derangement Syndrome.He kind of dismisses Musk … ytc_UgyUgSxYs… G I think AI art is cool and all, but it's a slippery slope to people using it ins… ytc_UgzkxsCW1… G Hey, worked out pretty well for the US. Good luck to ya Russia. Don't forget to … rdc_d2ximen G Urm what? You don't use an LLM for vision, it might hook I to a separate segment… rdc_o81wsdp G Have you seen how your spell check doesn't work at all? Or all the out of date … ytc_UgwrOyKIS… G He's literally just going over the facts of the case. If you want a completely f… ytr_UgyjDiiZI… G I am quite confident that while AI might not replace the profession, the world w… ytc_Ugwmj5Nvb…

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