Default priors of brms: are they non-informative or weakly informative

I am working with large dataset and lognormal models, thus using default priors. Should I report the using of default priors as non-informative or weakly informative?

Weakly informative. However, I would be careful about using default priors without having done prior predictive checks. For brms, if I understood Paul correctly, it partly sets the priors depending on the data. I am not a fan of that, but I do understand why Paul does that. Generally speaking, you must always check your priors.