Notion AI lead @sarahmsachs explains why AI models have become 2–3x more capable in just a year, yet knowledge workers haven't seen the same productivity gains: "Every time a new model comes out, what is the capability overhang of AI? Where is AI super capable at doing things, but the process, the product, and the permissions don’t exist." "If you were to look at where we were a year ago with where AI models are, I would venture to say they’re two to three times, if not more, better. I don’t think all users of Notion, or knowledge work in general, are two to three times more efficient than they were a year ago. So what’s that gap?" "There’s human-to-human collaboration, and there’s human-to-agent collaboration. Now we’re getting to a place where there’s agent-to-agent collaboration. We need to start thinking about how agents can interact with each other, especially in the age of agent sprawl" "Having that context layer that can work with multiple agents so those agents can contribute and work with each other will be the defining feature of a healthy process." @NotionHQ