Raw LLM Responses

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G As I go to listen to this video, I have co-pilot resolving an issue with our cod… ytc_UgyvxsYyx… G ​@sgt.shaggy5065​​ Firstly, there are AI users (and developers) who genuinely ca… ytr_UgwXI2VVM… G Before AI they were photoshopping faces on to naked bodies for porn. This isn't … rdc_kjk6z3b G 7:40 I had a horrible flashback when I saw his name For those who don't know, th… ytc_UgwB8dBfs… G What do you do when you break those laws? Put it in AI jail? Turn it off? What i… ytc_UgyrGGLKz… G Some countries banned the crossbow, as it was considered too effective. Other co… ytc_Ugx3vvwVY… G Even if AI didn't get murderous on it's own.... There's always a programmer angr… ytc_Ugz0Yg27c… G My criticism is not anything on the list, it's that instead of keeping making go… ytc_Ugze_W6Rz…
Comment
It's actually really easy to understand how it can come to these statements. It's really hard to convince the LLMs to not do these things. It's just way more likely to have a statistical bias towards choosing words that sound like deceit. Once you start walking down the path that looks a little like a deceit, the next word it picks is way and way more likely to be deceit. Think of it like this. Next time somebody asks your advice, tell them the honest truth. "Yeah, your ass does look big in that dress." " of course I'm mad at you. You keep making decisions that are stupid and you won't listen to me." Now remember that a lot of human interaction is based around micro-deceits, these little things that we say that are far more likely to be said than the above statements. The AI learns these nuances because of word probability distributions.
youtube AI Moral Status 2025-11-05T11:3… ♥ 183
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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