EP266: AI agents learn to think without words

Title: Adaptive Latent Agentic ReasoningSource: http://arxiv.org/abs/2606.02871v1Summary:This paper introduces a dual-mode reasoning framework that dynamically alternates between compact latent reasoning and explicit chain-of-thought, optimizing the accuracy-efficiency trade-off for multi-turn agents. It establishes a significant architectural primitive by enabling agents to reserve heavy deliberation for complex decisions while maintaining high efficiency for routine tasks.