Are HMMs still used for unsupervised tasks? [D]

Explain Like I'm Normal

A technical discussion in the machine learning community explores whether classic Hidden Markov Models (HMMs) are still viable for finding structure in unlabelled data. While Transformers and VAEs dominate modern research, HMMs remain a lightweight, interpretable baseline for sequential data where deep learning might be overkill. The consensus suggests that while state-of-the-art results have moved on, the fundamental math of HMMs is far from dead.