Raw LLM Responses

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G Phantom braking sucks. I thought it was only an autopilot thing by now. 1 star f… ytc_UgzmX86fA… G AI is a lie. If you get to Marz you will die. You're no genius, and you're not g… ytc_UgxyFmrqc… G ​​@WysteriousWhims that's not how ai works. So imagine a 6 by 6 grid trying to d… ytr_UgxdFWXJc… G AI is *decent* at writing code, but if you’re using it to the point that it’s “h… rdc_mnmi9ir G When AI it starts antichrist is settling to start his crusade against God and to… ytc_UgxD7SRDY… G Look, Yes or No... can I use these Ai's to generate that Napolion thing or not?… ytc_Ugxk2mjrn… G There is nothing wrong with AI art. There is nothing wrong with using AI progra… ytc_Ugza_iLO_… G Lol so nobody looked at the movie terminator. The scientists did the same thing.… ytc_Ugwcb9JuB…
Comment
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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