The Rise of Generative AI: How Machines are Learning to Create

Giancarlo Mori
8 min readJun 1, 2023
Photo by Google DeepMind on Unsplash

Generative AI refers to AI techniques that learn a representation of artifacts from data, and use it to generate brand-new, unique artifacts that resemble but don’t repeat the original data. (Gartner, 2023)

The realm of artificial intelligence (AI) has seen a revolutionary shift in recent years with the advent of Generative AI. Unlike traditional AI models that are deterministic and follow rigidly programmed rules, generative models capitalize on the latent patterns in data, learning to replicate and even creatively adapt them. This subset of AI underscores a significant paradigm shift from an AI model focused on consumption to one that centers around creativity, spawning a brave new world where machines are no longer confined to the role of passive consumers of information, but active creators of original content.

Generative AI spans a multitude of applications: crafting coherent text, composing music, designing eye-catching graphics, simulating realistic human speech, creating lifelike 3D objects, and even formulating scientific hypotheses. With its breathtaking potential, Generative AI is swiftly becoming the vanguard of AI innovation, offering exciting implications across diverse industries, ranging from entertainment and media to scientific research and development, and from customer service to cybersecurity.

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Giancarlo Mori

Startup cofounder & CEO | Entrepreneur | Sr. Executive | Investor | AI, Technology, Media, and Crypto buff.