The article discusses the competitive landscape of machine learning frameworks in 2019, highlighting the shift from TensorFlow to PyTorch among researchers. It presents data showing PyTorch's growing dominance in academic publications while TensorFlow remains prevalent in industry applications. The author suggests that PyTorch's simplicity, API design, and community preference may hinder TensorFlow's future in research.