I’ve heard that AI uses a huge amount of compute. You can run a local model on your laptop, but the low compute essentially makes it unusable. This obviously isn’t cheap, and AI companies lose millions of dollars a day providing their products for a fraction of the price that it costs to sustain them. This is currently due to huge cash injections from investors and efforts to beat out competition. But what happens when the bubble bursts and investors stop subsidizing the cost? Will the cost of these models that we’ve integrated into so many facets of our lives suddenly become incredibly more expensive? The only way to prevent this bubble bursting is to essentially make these models more resource efficient before the VC money dries up, but is that even viable? Like at the end of the day, LLMs have to have a floor for how much they can be optimized. Guess my question is to people more versed than I in this. Is AI genuinely sustainable? Or is the bubble going to burst, leaving us to have to roll back our lives to a time before LLMs were as accessible as they are now. submitted by /u/Even-Ad-3980
Originally posted by u/Even-Ad-3980 on r/ArtificialInteligence
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