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EPISODE · Jun 16, 2026 · 19 MIN

EP251: How SR2AM stops AI overthinking

from Learning GenAI via SOTA Papers · host Yun Wu

Title: Efficient Agentic Reasoning Through Self-Regulated Simulative PlanningSource: http://arxiv.org/abs/2605.22138v1Summary:This paper introduces a foundational three-system reasoning framework—comprising reactive, simulative, and self-regulated components—that enables agents to autonomously manage their planning depth and horizon. By treating the LLM as a world model for future-state prediction, it demonstrates that structured deliberation can allow smaller models to match the performance of systems orders of magnitude larger.

Episode metadata supplied by the publisher feed · Published Jun 16, 2026

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EP251: How SR2AM stops AI overthinking

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