Reinforcement Learning with Verifiable Rewards (RLVR) is an approach to training AI systems, particularly large language models, by providing them with clear, objective feedback based on whether their outputs meet predefined correctness criteria. Unlike traditional reinforcement learning methods...

The GAIA (General AI Assistant) benchmark is a comprehensive evaluation framework designed to assess the capabilities of AI systems in performing tasks that mirror real-world challenges. Introduced by researchers including Grégoire Mialon and colleagues, GAIA comprises 450 carefully crafted...

Google’s Agent2Agent (A2A) protocol is an open standard designed to enable seamless communication and collaboration between AI agents developed by different vendors or frameworks. Introduced on April 9, 2025, A2A addresses the challenge of interoperability among autonomous AI systems within...