After spending years racing to build ever larger AI models, researchers and infrastructure providers are increasingly focused on a new problem: how to make those systems affordable enough to deploy at scale.
Sara Hooker, cofounder and CEO of startup AI lab Adaption, told the audience at Fortune Brainstorm Tech on Tuesday that most of today’s AI is what she called “monolithic”—or stuck in time. That is, once a model is trained, the model’s knowledge and capabilities are essentially fixed. If something changes in the world, or if the model learns something useful from users, that knowledge doesn’t automatically become part of the model.
