The Eyes of Intelligence: Why Computer Vision Will Define the AI Century
For the last three years, the story of AI has been told almost entirely in text. We measured progress in tokens, context windows, and benchmark scores on question-answering datasets. That framing was useful, and it produced genuinely capable systems. But it also quietly encoded an assumption worth questioning: that intelligence is fundamentally a language problem, and that everything else is a downstream application.
I think that assumption is about to break. The most important capability in AI over the next decade will not be language. It will be perception, that the ability of a machine to look at the physical world and understand what it is seeing. Computer vision is not one AI subfield among many. It is the layer that decides whether AI stays trapped inside screens or steps into the world.
Perception comes before reasoning
Human intelligence is embodied. We do not reason in a vacuum; we reason...
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