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If you believe, as an increasing number of folks do, that LLMs are basically commoditized at this point or will be soon then there really isn’t a path forward f
by cmiles8 2mo ago
If you believe, as an increasing number of folks do, that LLMs are basically commoditized at this point or will be soon then there really isn’t a path forward for non open models.
There simply isn’t any value in the models and only in the compute to run them and potentially some higher-order coordination layers.
That’s very bad for the big model labs that banked their future on the opposite, but there just doesn’t seem to be a viable path forward on that approach anymore.
Meta hasn’t been the best global citizen for most of its life, but there may be some mild redemption if it becomes a source of strong open models.
- cdata 2mo agoI strongly prefer a world where open models "win," that said... I don't understand how we will sustain an ecosystem of open models like the one that exists today. My thoughts go down this path every time I try to put the pieces together: - Many open models depend on high quality frontier models as a distillation input - US closed frontier models drive China's open model strategy despite the business model for open models being somewhat fuzzy - What is the business model that benefits from open weights, exactly? How do their vendors recoup infrastructure and training costs? I would be grateful to be enlightened on this topic.
- cmiles8 2mo agoWouldn’t be that different from open source software, which has been very successful in many circles. You make money from value-add on top of the models not the models themselves.
- redox99 2mo agoYeah but open source is often a few guys working on their free time, or a large company open sourcing libraries that they wouldn't be able to sell anyway, or donations from corporations that are at best in the order of a million dollars. For frontier models you have players investing billions.
- solenoid0937 2mo agoOpen source software does not require trillions of dollars in R&D to produce the next iteration