"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."
The medium reshapes cognition and users internalize interfaces as cognitive frameworks. AI interfaces are rapidly shifting from chat to voice, from canvases to agent-driven cross-tool spaces, making the interface layer the primary differentiator as model capabilities converge. Interfaces now translate technological complexity into affordances and direct human attention. Interaction collapse moves users away from keyword-driven search and fragmented browsing toward curated, iterative conversational answers. Users increasingly state goals while systems handle the underlying processes. Interaction paradigms shift from turn-taking loops to outcome-driven flows, with systems executing multi-step processes behind simple, goal-oriented inputs.
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