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Forget optimizing for sensing or compute – MA-EQA performance skyrockets when you allocate communication power based on how well agents *remember* what they've seen.
LLM scaling bottlenecks demand a shift towards cloud-native architectures and distributed systems, unlocking potential gains from serverless inference and quantum computing.
