Machine Learning Can't Handle Long-Term Time-Series Data

The article's title suggests a limitation of machine learning in the context of time-series data. This implies a potential discussion of the challenges ML models face when dealing with long-term dependencies, trends, and patterns in sequential data. The critique would likely focus on the specific difficulties, such as vanishing gradients, computational complexity, and the need for specialized architectures or preprocessing techniques.