@yoheinakajima: more ppl are now trying out this approach of agents communicating with a shared state (vs talking to each other)

X AI KOLs Following Models

Summary

Azalia Mirhoseini highlights DeLM, a decentralized language model approach where agents communicate via shared state, achieving ~10% improvement on SWE-bench Verified with Gemini-3 Flash at less than half the cost.

more ppl are now trying out this approach of agents communicating with a shared state (vs talking to each other)
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more ppl are now trying out this approach of agents communicating with a shared state (vs talking to each other)

Azalia Mirhoseini (@Azaliamirh): Thank you @VentureBeat for covering our work on Decentralized Language Models (DeLM)!

DeLM makes agentic tasks like coding and multi-doc Q&A more accurate and significantly cheaper, e.g. a ~10% jump on SWE-bench Verified with Gemini-3 Flash at less than half the cost.

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@rohanpaul_ai: A new Stanford paper just proved that decentralized multi-agent systems can beat Claude Code and Codex on complex codin…

X AI KOLs Timeline

A Stanford paper introduces DeLM, a decentralized multi-agent framework that removes the central coordinator in favor of a shared context and task queue, reportedly running up to 2.49× faster and gaining up to +19.2 points in accuracy over Claude Code and Codex baselines on Terminal-Bench 4.0, DeepSWE v1.1, and ProgramBench. Code, 720 trajectories, and an open-source plugin for Codex and Claude Code are released.