Understand data for AI, because that is what most of this data is for: training sets, eval corpora, and captured traces, each versioned, rights-tracked, and lineaged, so any model or eval can be traced to the exact data that built it and rebuilt from it. Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale.