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StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling

Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in the actual sound. StepFun research team releases Step-Audio-R1, a new audio LLM designed for test time compute scaling, address this failure mode by showing that the...

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The ARC benchmark's fall marks another casualty of relentless AI optimization

For years, the ARC benchmark was considered a nearly insurmountable obstacle for AI systems, a true test of fluid intelligence rather than simple memorization. But new results show that even this barrier is crumbling under the relentless optimization machinery of modern AI labs. The article The ARC...

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A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows

In this tutorial, we build an advanced Agentic AI using the control-plane design pattern, and we walk through each component step by step as we implement it. We treat the control plane as the central orchestrator that coordinates tools, manages safety rules, and structures the reasoning loop. Also...

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