Originally published on AI Tech Connect.
The paper — and why it matters now On 4 May 2026, a position paper titled "Agentic AI Orchestration Should be Bayes-consistent" appeared on arXiv. Thirty researchers co-authored it, representing institutions including Google DeepMind, Microsoft Research, and several frontier AI labs. Position papers with author lists this broad tend either to be consensus-building documents that eventually shape framework design, or committee-authored mush that says nothing. This one is not the latter. The core claim is pointed: most agentic orchestration layers in production today are essentially heuristic schedulers. They decide which tool to call next based on keyword matching, hard-coded priority rules, or raw model output without any principled accounting of what the system actually knows or does not…
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