Using simulations as computational experiments, involves methods that enable the discovery of nucleation mechanisms as emergent, collective evolution of systems. The nucleation of NaCl from aqueous solution offers an interesting case study in this regard, showcasing the potential of simulation approaches while contextually providing a cautionary tale about the quality of the models used to explore nucleation . Performing WTMetaD simulations of NaCl nucleation from an aqueous solution, where the NaCl ions were modelled with the GROMOS forcefield, Giberti et al. discovered that small NaCl clusters might preferentially adopt structures that differ from that of bulk rock salt. By employing a CV designed to enhance local density fluctuations without favouring a specific crystal structure , the authors discovered that -for the model adopted -there is a competition between hydrated amorphous NaCl, rocksalt nuclei, and nuclei of a new wurtzite-like phase. An analysis of the CNT nucleation free energies of the rocksalt and wurtzite phases revealed that indeed, according to the molecular model, wurtzite-like arrangements are more favourable than rocksalt at small sizes. While this result is not representative of the real NaCl nucleation mechanism, due to the fact that the GROMOS model for NaCl strongly underestimates its aqueous solubility and overestimates the stability of the wurtzite structure at the supersaturation conditions sampled by Giberti, it nevertheless provides a very important observation pertaining to simulation methods. This study in fact, demonstrates that unexpected pathways can be discovered as emergent collective processes from a direct sampling obtained with enhanced MD techniques.