Yeah, this seems fine.

• using encoders to create useful sequence data representations in much more information efficient ways
• using transformers to act on sequential data, with attention altering focus dynamically instead odd classical AR style
• training neural networks inside differential equations is very effective
• you can output higher dimensional outputs, including classifications that need less human review

This is machine learning mixed with classical modelling, not “AI” by any definition of AI.