@omarsar0
RT @omarsar0: We mostly solved multi-node coordination decades ago in distributed computing. Turns out LLM teams face some of the same coo…
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RT @omarsar0: We mostly solved multi-node coordination decades ago in distributed computing. Turns out LLM teams face some of the same coo…
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"text": "We mostly solved multi-node coordination decades ago in distributed computing.\n\nTurns out LLM teams face some of the same coordination problems today.\n\nHere is a really good read for anyone designing multi-agent systems.\n\nIt applies distributed systems theory to LLM teams and finds the same O(n²) communication bottlenecks, straggler delays, and consistency conflicts showing up directly.\n\nDecentralized teams wasted more rounds communicating without making progress, but they also recovered faster when individual agents stalled.\n\nHow does this relate to distributed systems?\n\nThe work attempts to evaluate LLM teams as distributed systems.\n\nIt lays out a principled framework instead of trial and error for deciding when teams help, how many agents to use, and what coordination structure fits the task.\n\nDesigning LLM teams without distributed systems principles is like building a cluster without understanding consensus protocols.\n\nPaper: https://t.co/klHzUFJL1R",
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