I generally enjoyed the article. Maybe it's because the classical functional categorization/cataloging approaches in molecular biology are rarely sufficient to

I generally enjoyed the article. Maybe it's because the classical functional categorization/cataloging approaches in molecular biology are rarely sufficient to explain experimental data unless you are an expert and know all the exceptions and special cases. So the Predictive Biology approach seems a promising path, particularly since a lot of data for ML training is available. That said, the formulation "machine learning is the native language of biology" seems odd.