Raw LLM Responses

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G I have always said don't be scared of AI be scared of the people who program AI.… ytc_Ugyhx2f79… G Different loose compression, may be one ai, but i see webp like distortion, not … ytc_UgwZ356l2… G Art is like my little comfort bubble. It's my own sacred place. I draw to be at … ytc_UgxLtW5l4… G My car hit the break the car behind me breaks, just like a swarm, I mean, if u a… ytc_UggVGd5tR… G These committee seem to have little understanding of AI. I should suggest that t… ytc_UgzaYM4CR… G No it is not conscious and it will not ever be. If you want to create an intell… ytc_Ugy5oRSyg… G Yes, the headline is ambiguous. > Good, the file size now matches my model … rdc_myuax93 G In South Carolina, when all is said and done, will have 7 AI centers. Noone is s… ytc_Ugy_95zCo…
Comment
15:40 GPTs are terrible at reevaluations like these. Their output in my experience deteriorates quickly repeating themselves, growing increasingly incoherent, hallucianting more, interpreting ones own objections in a wrong way and have a tendency to try to confirm the users opinions. GPTs are good for a first glance and overview, but iterating with it for learning is not a good experience. At least it isnt for me. My ideas seem always to better than the the LLMs output, but a lot of information it spits out hints at things i havent seen yet and i should look into - however not catogorized, chunked or evulated in a even close to optimal way. And iterating with the gpt doesnt help with that. It often makes it worse.
youtube 2025-11-15T16:2…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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