AI Forecasting Models Struggle with Real-World Complexity, Opening New Attack Vectors
Recent research announcements highlight a critical chasm between advanced AI models for time series forecasting and the inherent chaos of real-world operational data. While new architectures and methodologies are emerging, including those leveraging large language models (LLMs),