[soVeryTired]

I think he's saying something like the following:

1/ the team implemeted a naive baseline

2/ they implemeted a more sophisticated model that depended on some parameter p

3/ for 100 different values of p, they examined its performance, and picked the model with the best performance

Now they're not quite subject to the multiple comparisons problem there, since the models with different values of p aren't independent from one another. But they're not not suffering from it either. It mostly depends on the model. But it's a very easy mistake to make. I'd say many many academic papers make the same mistake.