Gergely Orosz and Ed Sim argue rising dependence on OpenAI and Anthropic pricing and reliability is pushing enterprises toward owning inference on open models. The takeaway is multi model strategies and open source fallbacks are becoming standard risk management.
should we buy leading models [like OpenAI, Anthropic] and be dependent on their pricing and reliability, or should we build+own our inference stack on top of open models?
If this is true, enterprises are going to look at that Anthropic bill and start getting their open source models ready.
Frontier intelligence too expensive to meter is the best thing that ever happened to open-weight models.
The constellation of models isn't optional anymore.
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