"An interface, then, is a cognitive framework. Today, AI interfaces are shifting fast: from chat to voice, from canvases to agent-driven cross-tool spaces. As models converge in capability, the real differentiation has moved to the interface layer. The interface is no longer just a channel. It is the key that unlocks technology, translating complexity into affordances and shaping the flow of human attention."
"Before large language models, our typical path to finding answers online looked something like this: break your question down into keywords (like pizza, recipe, tutorial) and feed them to a search engine. Then you wade through a long list of results, browsing page by page, clicking on a few promising links to read carefully, and finally mentally stitching those fragments together into your own version of the answer."
An interface functions as a cognitive framework that shapes how people internalize and use a medium. AI interfaces are rapidly shifting from chat to voice, from canvases to agent-driven cross-tool spaces. As model capabilities converge, the interface layer becomes the central point of differentiation, translating system complexity into user affordances and directing human attention. Traditional search required users to decompose questions into keywords, browse many results, and mentally assemble answers. Conversational AI enables users to state goals and receive curated answers that can be iteratively refined, collapsing the multi-step interaction loop into a system-handled process.
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