TopoNets introduces a new model aimed at enhancing vision and language processing by mimicking the complex topographical organization of the human brain. This innovative approach seeks to improve model performance by organizing and processing information in a way similar to human cognition, presenting a departure from traditional methods focused primarily on optimizing loss functions. However, the reception of this paper has been mixed, with some users questioning its validity and utility, pointing out that enhancing network topology should not replace established performance benchmarks.