The Model Is the Data—and That Changes Everything
For years, artificial intelligence has been sold as something close to magic. Feed it enough data, train a sufficiently complex model, and intelligence will emerge. Predictions improve. Decisions accelerate. The system “learns.” That story is convenient. It’s also increasingly misleading. The dominant architecture of AI today assumes a clean separation: data is raw material, models…