Language models (LLMs) like Chat-GPT and Claude.ai are whizzy and cool. A lot of people think that they are going to be The Future. Maybe they are — but that doesn’t mean that building them is going to be a profitable business. In the 1960s, airlines were The Future. That is why old films have so many swish shots of airports in them. Airlines though, turned out to be an unavoidably rubbish business. I’ve flown on loads of airlines that have gone bust: Monarch, WOW Air, Thomas Cook, Flybmi, Zoom. And those are all busts from before coronavirus - times change but being an airline is always a bad idea. makers sometimes imply that their suppliers are cloud companies like Amazon Web Services, Google Cloud, etc. That wouldn’t be so bad because you could shop around and make them compete to cut the huge cost of model training. That’s odd, because other businesses, even ones which seem really stupid, are much more profitable. Selling fizzy drinks is, surprisingly, an amazing business. Perhaps the best. Coca-Cola’s return on equity has rarely fallen below 30% in any given year. That seems very unfair because being an airline is hard work but making Coke is pretty easy. It’s even more galling because Coca-Cola don’t actually make the Coke themselves - that is outsourced to “bottling companies”. They literally just sell it... ....Really though, LLM makers have only one true supplier: NVIDIA. NVIDIA make thechips that all models are trained on — regardless of cloud vendor. And that gives NVIDIA colossal, near total pricing power. NVIDIA are more powerful relative to Anthropic or OpenAI than Airbus or Boeing could ever dream of being.
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10 sats \ 0 replies \ @Satosora 29 Nov
Cola does pay quite a bit to outsource things.
Or else their profits would be even higher.
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0 sats \ 0 replies \ @denlillaapan 30 Nov
Pretty convincing...
Unless, I guess, LLMs become ubiquitous things that we have in every device, targeted to every specific thing
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0 sats \ 0 replies \ @LayerCake 30 Nov freebie
This completely misses the point. Its about capturing the energy as we move more towards a world which uses AI as a widespread tool.