According to DeepLearning.AI, researchers have launched STORM, a groundbreaking text-video AI model that reduces video input size to just one-eighth of the standard, while still achieving state-of-the-art benchmark results. STORM integrates mamba layers between a SigLIP vision encoder and the Qwen2-VL language model, allowing efficient cross-modal information aggregation. For crypto traders, this innovation could accelerate the development of AI-driven trading bots and data analytics tools, enhancing real-time market sentiment analysis and automated trading strategies. Source: DeepLearning.AI Twitter, June 21, 2025.