It felt like that 5-7 yrs ago. But now, we have 1,000s of variation of Transformers, Diffusion Models, Energy Models, Patches, Sequence models for Reinforcement

It felt like that 5-7 yrs ago. But now, we have 1,000s of variation of Transformers, Diffusion Models, Energy Models, Patches, Sequence models for Reinforcement Learning (compete with beam search inside!), GNNs, and others to choose from. I feel that all of the Linguistics is likely to come right back and get integrated into the various Deep Learning frameworks.