Comment by kevinventullo

There are many basic techniques in machine learning designed specifically to avoid memorizing training data. I contend any benchmark which can be “cheated” via memorizing training data is approximately useless. I think comparing how the models perform on say, today’s Connections would be far more informative despite the sample being much smaller. (Or rather any set for which we could guarantee the model hasn’t seen the answer, which I suppose is difficult to achieve since the Connections answers are likely Google-able within hours if not minutes).