SOURCE-LINKED INTELLIGENCE
Scaling Discovery through Test-Time Communication
Science advances not in isolation but through collaboration, yet existing agentic systems capture little of this. Whether communicating agents help remains an open question with mixed prior results. We show that test-time communication can substantially outperform independent parallel attempts on challenging tasks, where sharing a breakthrough can push the whole group forward. We first study the effect of scaling multi-agent test-time communication, where agents have no predefined roles and communicate via a shared directory, on ARC-AGI-3, a benchmark requiring novel problem solving. We find t
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T19:38:04.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.