my guess is that large models trained on large corpuses there is just some ceiling of "reasoning you can do" given the internal geometry implied by the training data, cause text is lossy and low-bandwidth anyway, and theres only really so much of it. past some point you just have to have models learning from real-world interactions and my guess is we're already kind of there.