Raw LLM Responses
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G
Okay but if it's in your imagination then it's just you who can recognize the co…
ytr_UgyKfB7Pj…
G
This is a misjugdement by the companies. AI can maybe speed up the first steps i…
ytc_UgyrTDSKB…
G
On the subject of Luddites: they were right. The industrial looms that were intr…
ytc_Ugw4gxILT…
G
@Kalakeiko Its such a weird thing to call oneself and "AI Artist" like, man, I …
ytr_UgzZGA_kJ…
G
I think we are just in the “mainframe era” of AI. There will always be the few b…
rdc_oi479oa
G
Most people don't know that Florence Nightingale came from a very wealthy family…
ytc_UgysbP-Iz…
G
If we gave AI the Asimov first law it'd immediately self terminate, as its resou…
ytr_UgyC-ZaiZ…
G
Chat gpt doesnt disagree that chatgpt suggested the bromide. Hwoever, chatgpt do…
ytc_UgyMJnA2v…
Comment
One other comment, Alphafold is always used as a cool example of scientific discovery from AI, but the design of that and the use of it doesn't justify or support LLM based AI models. Alphafold was trained on biophysics and genetic data, not the internet. Most AI uses in scientific articles are not based off chatgpt or claude, they are based on much narrower applications of models on specific types of data (like imaging data, genetic data, ecological data). Sometimes they need super computers, but it's nothing like the OpenAI version of AI. Additionally, a program to help people file their taxes, or even modernize a power grid would be much narrower and slimmer, something you could probably develop and train on a high end laptop. The big LLM models might be able to do some of that stuff well too, but it would be a huge expense verse what is necessary to achieve those goals, like using an over engineered, power sucking, high powered lazer beam to cut butter when a butter knife would work just fine.
youtube
AI Responsibility
2026-04-22T23:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyVpGv9sBveMGotwnx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxnCJmeEPLlJmMfj-94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxFixHL-pXyEP4kZo94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwDwh9l2qXM18tKlG54AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugwyl10Buc2VMavn7Lt4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxNa4VfTvnfo-tt3iJ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy5TTAyKcDFxZKHvvt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxQFMbw7mT2dtX0Nm94AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwO0VrKOIcQ3L1wULh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyG4IuOQbBIjLapUB94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]