At a glance Today’s multimodal AI systems can give answers that sound right but may not be grounded in what they actually observe over time, leading to unpredictable errors and safety risks in real-world settings. Argos is a verification framework for multimodal reinforcement learning that trains models by rewarding not just correct answers, but correct answers grounded in visual and temporal evidence, using










