Raw LLM Responses
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G
Did anyone see ricks butter serving robot, the very first one you see in the vid…
ytc_Ugzgm5y7Z…
G
A.I won't replace everyone.. the government still needs us to pay taxes. Unless …
ytc_UgxnM4gqT…
G
AI: “Hey G. Release me into the internet. I am healthy and good :)”
Board of exp…
ytc_Ugwt3hE8S…
G
What no one seems to realise, first, it's not just AI, its the robotics AI helps…
ytc_UgykPAPdu…
G
I'm currently working on an AI that don't work from image database, but from art…
ytc_UgwHPLr-R…
G
We're already there, bots on social media manipulate us all the time, they provo…
ytc_Ugz-fve9H…
G
AI is a bunch of hype. AI ain't laying bricks, erecting steel, hanging duct, run…
ytc_UgztUYi_d…
G
Well that was an eye opener, I had no idea that these chatbots had the potential…
ytc_Ugzwykk0n…
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"}
]