Speed will define the next era of AI. 🚀 Most teams focus on model intelligence. Fewer teams think deeply about latency budgets, cost per token, and what happens when a human is actively waiting for a response. Stefano Ermon, Stanford University computer science professor and founder of Inception Labs, explains why Mercury is built for latency sensitive AI use cases. Spend a few minutes with this episode and rethink how you measure AI success. 📺 YouTube: https://link.theneurondaily.com/r/ijyUDv
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