[godelski]

Very likely. Tbh, I think there are a lot of domain tasks where if you added a machine learning expert to the team that success and progress would be a lot higher. But to be fair, there are are a lot of people that can do ML but not a lot of people that have a deep understanding. The difference matters for real world tasks when the difference between dataset performance and generalization performance matter. And it's all too common that works that are SOTA are more difficult to generalize, but this is high variance.