MIT Media Lab paper proposes pull-based inboxes for coordinating LLM agent societies
Overview
MIT Media Lab authors propose a pull-based agent inbox as a coordination primitive for large LLM agent societies, arguing that how agents read messages matters as much as how messages are delivered.
Elvis Saravia shared the paper on X. In simulations of 1,000 to 16,000 LLM agents under noisy traffic, the authors report that first-come-first-read ordering misses every request, and that an inbox reading messages with a refundable deposit first still finds about 60% of needed agents at every size. The authors also report that under push delivery, an agent leading 20 negotiations proposed already-rejected options 97% of the time.
Written by AI from the articles below · updated Oct 29, 2:58 PM ET
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elvis@omarsar0XMIT Media Lab paper proposes pull-based agent inboxes for LLM coordinationAIA paper from MIT Media Lab, shared by Elvis Saravia, argues that agent coordination depends on how agents read messages, not only on delivery. In simulations of 1,000 to 16,000 LLM agents, the authors report that an agent leading 20 negotiations under push delivery proposed already-rejected options 97% of the time. They report that an inbox reading messages with a refundable deposit first still found about 60% of needed agents at every size.

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