The recent successes of generative AI models have convinced some that AGI is imminent. However, a closer look at the limitations of these models reveals a more complex picture. The article argues that AGI is not multimodal, citing the limitations of current models and the need for a more embodied understanding of intelligence. This critique has significant implications for the development of AGI, highlighting the need for a more nuanced approach to intelligence. The author's argument is based on a detailed analysis of the current state of AI research, highlighting the limitations of current models and the need for a more comprehensive understanding of intelligence. The article concludes by outlining the need for a more embodied understanding of intelligence, one that takes into account the tacit and embodied aspects of human intelligence.
Source: AGI Is Not Multimodal
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