People have been using brute force methods to win Kaggle competitions since the beginning (and other people have been complaining about it just as long).

At its core, ML is all about computer generated models (automated feature selection, hyper parameter tuning). Many (most?) of the models produced in Kaggle are already black boxes and have been for a long time. The model that won the Netflix prize was never used in production for that reason.

Using an LLM to generate code to generate a black box is pretty much par for the course.