A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built. The new model, called FlexOlmo, could challenge the current industry paradigm of big artificial intelligence companies slurping up data from the web, books, and other sources--often with little regard for ownership--and then owning the resulting models entirely. Once data is baked into an AI model today, extracting it from that model is a bit like trying to recover the eggs from a finished cake. "Conventionally, your data is either in or out," says Ali Farhadi, CEO of Ai2, based in Seattle, Washington. "Once I train on that data, you lose control. And you have no way out, unless you force me to go through another multi-million-dollar round of training."