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Fork, Fuse, and Rule: XAgents’ Multipolar Playbook for Safer Multi‑Agent AI

A bad agent stack often looks suspiciously like a bad committee. One agent proposes a plan. Another wanders into a neighbouring topic. A third confidently supplies a detail that is almost right, which is a particularly expensive genre of wrong. Then the system fuses the outputs, declares victory, and leaves the human operator to discover that “collaboration” was just error propagation wearing a nicer blazer. ...

September 19, 2025 · 14 min · Zelina
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Hive Minds and Hallucinations: A Smarter Way to Trust LLMs

TL;DR for operators The paper is useful because it treats hallucination less like a mystical defect of large language models and more like an operational risk that can be routed, checked, scored, and sometimes refused. Amer and Amer propose a proof-of-concept multi-agent architecture for SMS-based pharmacy prescription-renewal requests.1 A customer might send a clean message like “1, unenroll”, or something messier: a renewal code, a complaint about medicine taste, a question about blood-pressure medication, and a polite thank-you bundled into one little administrative grenade. ...

July 3, 2025 · 19 min · Zelina