Raw LLM Responses

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G As I've observed, if you ask ChatGPT a yes/no question, it's likely to answer ye… ytc_UgzH1T3KQ… G Only AI i've ever thought was good was a literal pile of shit. Describes the sty… ytc_UgwSVa2_a… G "AI artists" are just art thieves like "tracer artists", so that's why it's acce… ytr_UgxgogzEj… G ai art isn’t real art. It should be count literature if they want to be included… ytc_UgyiJvnsX… G "It'll come up with ideas never thought possible" I'm pretty sure AI is specific… ytc_UgymzROuS… G AI shouldn't be the end all be all approach to things anyway. Because AI is only… ytc_UgzJZhe3a… G Y'all don't get it agi is not just gpt 10.0 or something it something wayyy diff… ytc_Ugyo8Rk66… G Same with kids that cheated on tests in school, or adults that lie on their resu… rdc_lhdyzs9
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Larger models are mostly empty void solution search space. Therefore mostly a waste of compute. Focused models are more powerful and less expensive and results based. Taking a LLM or FM LLM by itself without a lot of harnessing and or fine tuning is going to give within distribution generic slop. Remember we are building large language models on tiny datasets. The internet is so small it is less than 1% of data and they are not using all of it, they are using a small percentage of that. I say 1% because data is constantly growing, it is not 5% fixed. We produce more each year than decades when it started to grow.
youtube AI Responsibility 2026-02-13T21:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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