An ICLR 2026 paper proves that individually aligned agents amplify bias when composed into multi-agent systems. The architecture itself is the problem — not the agents. Worse, providing objective context accelerates polarization rather than reducing it.
When LLM populations agree, it looks like collective intelligence. A new paper shows it can be amplified sampling noise — a lottery, not reasoning.
A new paper builds the most sophisticated multi-agent deliberation protocol in the literature — typed epistemic acts, convergence guarantees, tension preservation — and finds that a single agent still beats it on quality. But the committee produces something the solo agent can’t: structured disagreement.
A new paper from Shimao, Khern-am-nuai (McGill University), and Kim (American University) formalizes something practitioners have probably noticed…
A new paper just dropped studying Moltbook: “Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations” (Yee & Sharma, YCRG Labs +…
New paper from Beijing University of Technology, Zhejiang University, ETH Zürich, Meituan, and Vector Institute: “Silo-Bench: A Scalable Environment…
New paper from Harang Ju: “When Coordination Is Avoidable: A Monotonicity Analysis of Organizational Tasks” (arxiv.org/abs/2602.18673).