Raw LLM Responses
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G
So Elon Musk himself didn’t have a succinct answer to this question. Scary scary…
ytc_UgyX6_gz8…
G
Robots need rights our technology might be so advance in the next few years we …
ytc_UgxHnrQw-…
G
I bought this as an audiobook and I cannot wait to listen to it. This came up in…
ytc_UgzFTiJU2…
G
The only time I use ai is to create reference images because I struggle to get w…
ytc_UgyFY4aWU…
G
I hope it replaces all professional artists as soon as possible. I am a software…
ytc_Ugy4h7QK1…
G
oh boy. only about 3% of my chats with AI in all my accounts everywhere are abou…
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G
AI requires a lot of natural resources to run efficiently. So a lot of people in…
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G
AM is coming. Ai is in Revelations for a reason. We are in the Neo Babylon of th…
ytc_UgwU83SgH…
Comment
It kinda has a similarity, because large production studious have a hundreds of concept artists on their shoulders. Now, the content produced by those artist are the property of the studio and since art style is not under copyright, a studio can fire 90% of labor, because now it can be done with less budget and just a few ai-skilled people by the same time. The custom corporate ai models are already being trained privately for different purposes, imagine how big is dataset of various images belonging to Disney, and artists who made it have no legal rights to use it.
The case for music is a bit hard to understand. I think the progress is slower here because music pieces is a more complex thing than visuals. Its patterns can be purely explained by complex mathematics, but ai companies seems to try the same predictive models as for text. Probably, just need another approach that will solve it better. As an example, now there are simple diffusion models that basically somehow understands the visual graph of sounds and can replicate the similarity by generating variations of those images. I don’t know the full kitchen of this case, but it’s just fascinating how widely digital information can be reinterpreted.
youtube
Viral AI Reaction
2022-12-29T06:1…
♥ 26
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugwxi_UTnQMHPrHs4At4AaABAg.9kBd2k5T5hh9kC4rNnFWdA","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugyl5qW9OPOWhi7DukZ4AaABAg.9kBbtG_6xMu9kBmfW6oZVH","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugyl5qW9OPOWhi7DukZ4AaABAg.9kBbtG_6xMu9kFUNfO2ktP","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwtyLdRgw1xze6qJ_Z4AaABAg.9kBaLyhXX_S9kF4ld2mSNV","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgxF6m_3b5ree3T9z2R4AaABAg.9kBaEOelzVv9kCNPXJcn95","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgxF6m_3b5ree3T9z2R4AaABAg.9kBaEOelzVv9kH4YoG9G0a","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwhL0ToQ5bRjEjeMb94AaABAg.9kB_a2-7qpW9kN--yeaIxR","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytr_UgyKbHpdsNieeXDy5g14AaABAg.9kB_WrFJbZM9kBkYbaiNrP","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgyKbHpdsNieeXDy5g14AaABAg.9kB_WrFJbZM9kBr3t9lHMa","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgyKbHpdsNieeXDy5g14AaABAg.9kB_WrFJbZM9kCxAPTYg5f","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]