NASA and IBM Made an AI Model for Exploring the Moon
NASA and IBM made an AI model for exploring the Moon: the open NASA-IBM Lunar Foundation Model, trained on nearly two million co-registered tiles from LRO, GRAIL, Lunar Prospector and SELENE and released on Hugging Face with the SomBench benchmarks. We trace the press release’s 23%, 22%, 19% and 3% claims to the technical report’s tables, explain the orange-wedge data split and the shadow problem, set out what the model card says the model cannot do, and show what the 12.79 GB download contains.