Raw LLM Responses
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G
The only artists threatened by AI are the mid hacks who aren’t that good. If you…
ytc_Ugwojh1HF…
G
Who gets to have access to the super AI brain? Who gets to have access to the co…
ytc_UgwAvyXFG…
G
Hulk hogan predicted this in a 1998 video that is very hard to find. He broke do…
ytc_UgxTV3Tft…
G
Teachers already had a shitty deal and kids are horrible these days...so now wha…
ytc_UgwsYMMvq…
G
they did.
They put AI in a piece of tech and they put the tech ON the humans.…
ytr_Ugxf8trTk…
G
Over 10 years ago and before the gen ai that we have now, I remember asking a co…
ytc_UgxhSgqUc…
G
Hi Bernie. In addition to the five ideas you suggested, I would implore you to h…
ytc_UgyRKLUmi…
G
When I use the site, I either, bully, scare, or play therapist with the ai. Or m…
ytc_Ugz9SXv5H…
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"}
]