The Gradient
AGI Is Not Multimodal
The article argues that despite recent successes in generative AI, current multimodal models do not represent a path toward Artificial General Intelligence (AGI). The author contends that these systems, which process text and images, fundamentally rely on language as their organizing principle and fail to capture the embodied, tacit understanding that characterizes human intelligence. This linguistic bias represents a significant limitation in achieving true general intelligence.
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