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Joined 3 years ago
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Cake day: July 5th, 2023

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  • The difference being they had a plan to monetize YouTube which offset the operating costs and even could make a profit, in addition to the stuff they over invested in having long term benefits. Aka they roughly could spent a lot to save money later off of what they built.

    LLMs are not the same. They cost a shitload of money to run. Actual token based usage without being subsidized by investors would make any LLM cost users so much money that the actual value of it would immediately become major problem. Sure one can, currently, get decent code output by using hundreds or thousands of tokens, or using multiple LLMs / loops, or having agents go burn however many on iteration! But if we paid actual costs this shit would rapidly be shut down.

    The AI infrastructure is also not saving money long term. Training is unbelievably expensive. Compute costs are all about gigantic data servers with video cards running, and the economics of all that is way tighter than anyone gives credit for. Those cards last like 3 years. The cooling costs are crazy. You have to have constant use to be efficient. None of these things are able to be covered by AI economics nor does it even make sense to be.

    It costs too much, it’s just being covered by your money being pissed away by tech investors for a technology that cannot survive.