Falling per-token prices aren't enough to keep enterprise AI costs in check. Today, one top token spender is burning th…
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Falling per-token prices aren't enough to keep enterprise AI costs in check. Today, one top token spender is burning through 100 billion a month, the equivalent of analyzing hundreds of thousands of books. Christina Stathopoulos, MSc argues that tokenmaxxing was always a flawed productivity metric, and moves like Amazon shutting down its token leaderboard and Uber capping spending suggest companies are starting to focus on maximizing value instead.
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