The model routing discussion is fascinating. We're seeing similar patterns in how startups approach global talent - the best solution depends heavily on context. For engineering teams distributed across timezones (we work a lot with LATAM developers), the real bottleneck isn't just the model or the tool, it's understanding when to apply what. Same with inference: a 16k tok/s chip is incredible for real-time voice agents, but most startup use cases don't need that latency. The interesting question is whether we'll see more specialized hardware for niche applications, or if general-purpose solutions will keep winning through sheer volume economics.
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