This makes total sense. The benchmarking cycle is insanely fast now: new benchmark drops -> data companies crank out training data -> benchmark saturated in months. Real progress requires specialization—the high-value difficulty is in the nuances generalized data misses. I'm interested to see how this evolves, and grateful for the partnership with @FireworksAI_!
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Interaction as a first class citizen, and knowledge over voice with tau-voice banking
