AGI Is Not Multimodal

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The essay challenges a conflation creeping into AI discourse: that a system processing vision, audio, and text is meaningfully closer to AGI than a text-only system. The argument is that multimodality adds sensory breadth but not the reasoning depth or generalization capacity that AGI definitions actually require.\n\nThis matters because major labs have heavily invested multimodality as a key differentiator in model roadmaps. If AGI is better understood as a reasoning and generalization capability rather than sensory integration, current research priorities may be misaligned with the goal.\n\nFor practitioners and researchers, this kind of conceptual critique sharpens thinking about what we are actually measuring when we claim progress toward AGI. The Gradient publishes credible analysis pieces; this is worth reading in full. No content was available to assess the specific arguments or evidence presented.