Beyond GenAI | Jepson Taylor | DSC Europe 23

In his talk, Jepson delved into the fundamental nature of innovation, probing whether it stems from luck or intention. While acknowledging AI's ability to generate impressive images, he underscored its limitations in selecting winning competition images. Jepson explored the potential evolution of Artificial General Intelligence (AGI) and questioned its capacity to improve without human feedback, noting the current constraints within its knowledge base. He also touched upon the growing algorithm market and emphasized the crucial role of prompting in AI development.
Additionally, Jepson highlighted the advantages of AI over humans, such as unlimited time and minimal costs for exploring ideas. The presentation encapsulated the idea that while every model may be flawed, it can still be useful in certain contexts: "Every model is wrong, but somewhere useful."

This speech by Jepson Taylor was held on November 24th at the Data Science Conference Europe 2023 in Belgrade.

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