Raw LLM Responses
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54:24 okay now you have to share how you created a character cameo from a video…
ytc_UgwpNUbOm…
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The grads may become stronger and adapt, but AI is getting stronger faster and i…
ytc_UgwK4jON_…
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You could also get chatgpt to critique it’s own writing and for it to suggest it…
rdc_jdpzp85
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@Charles-qx6yz
P.S ;
I’m not even here to defend AI art. I’m against unlicense…
ytr_Ugw9PrkK6…
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If you haven't figured it out yet if your job has even the most miniscule amount…
ytr_UgwqrmqGZ…
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Machines being introduced to car manufacturers is not truly comparable. The mach…
ytr_UgwbKpCmM…
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Fostering the concentration of capabilities in the hands of a few corporations (…
ytc_UgzuODFv5…
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These a.i.s are programmed to be an example based help and learning tool so if y…
ytc_UgzOoynmn…
Comment
To be honest, I don't think sentience could be achieved without self-thoughts, so maybe you could say COTs (chains of thoughts) are the basis for smth like that, but I really think there's a need for a constant feedback-loop and non-linear (as in point A to point B) interactions between the different parts of the "brain". An AI that learns once and then crystallizes throwing back automated responses without an active understanding of what it did/thought *before* can't possibly develop sentience… I mean, I think one things that makes us good at it is that we're able to pause for a sec and concentrate on a thought process, whereas an AI typically has no insight. I do believe that's what COTs bring.
Going further on that note : I've heard of "probe" AIs that, being fed which part of a LLM activate for which prompt and result, were able to determine "zones" associated with specific tasks… Could they be added as a part of an AI to directly give it a guess about what it's thinking ? Ik that is abstract but I feel like there's something to do here…
youtube
AI Moral Status
2025-07-09T16:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwiEWNctlQGcmI5v4F4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzZHZMoBHdqrAYuN5F4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgwOlxeDtogNV5rtI-l4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwVjTkEXnHizg3vTZ14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugx_TvYWK3AUfW5D5Kx4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugx3vewk2Koz79HGhUl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyEsEcuG23f9oCgGAd4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_Ugx9oN9oM8Kpeo-uyX14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxefB2nRluc-Rr2QVF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxr3f9pW8RKGEhvqFV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"}
]