<ul data-eligibleForWebStory="false"><li>Generative AI technologies are rapidly evolving and influencing various aspects of creativity like writing, artwork, music, and design.</li><li>There is a discussion on whether Generative AI could pave the way towards Artificial General Intelligence (AGI) by leveraging AI-Generated Content (AIGC) technologies.</li><li>AIGC involves creating new content based on patterns learned from data, utilizing architectures like GANs, VAEs, Transformers, and diffusion models.</li><li>While AIGC is advancing in text, image, music, and video generation, the quest for AGI, with traits like cross-domain learning and autonomous reasoning, poses challenges like shallow world models and unresolved safety and ethical concerns.</li></ul>

From Generative AI to AGI: Are We Teaching Machines to Think?

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