Geology, mining and the machine learning creeping into resource estimation.
Traci and Joao work through a year of machine learning applied to mineral resource and reserve estimation: whether anything actually beats kriging, the geology-as-feature versus geology-as-constraint distinction, generative models moving into conditional simulation, uncertainty a Competent Person could defend, and a ranked reading list. Roughly twenty papers, every citation verified against a primary source.
Both hosts are synthetic voices and the script is AI-generated. Every paper cited was verified against a primary source (DOI or arXiv ID) before publication, but the commentary is not that of practising researchers.