From AI to GX: The Quantum Leap in Algorithmic Evolution


As the saying goes, we stand on the shoulders of giants, building on the algorithmic foundations laid by brilliant human minds. But what if our next leap doesn't come from human shoulders, but from the 'mind' of AI? Dive deep into the transformative shift from generative AI to Generative Algorithms (GX) and how LLMs are poised to redefine the frontier of algorithm design. This talk challenges traditional notions of creativity, innovation, and human prowess, beckoning a future where AI doesn't just use algorithms – it creates them, crafting a world of limitless potential and extraordinary complexity.


Jepson has over 18 years of machine-learning experience. After studying chemical engineering Jepson worked for Intel/Micron in applied semiconductor building process control and fault models. After that, he worked as a quant at a hedge fund on a 600 GPU cluster. Taylor then joined a young Sequoia-backed HR startup called HireVue to run their data group where they delivered 14 patents. In 2017 Jepson co-founded with David Gonzalez to pursue deep learning for image, audio, video, and text for the enterprise. Zeff was acquired by DataRobot in 2020 where Jepson worked as their Chief AI Evangelist until recently joining Dataiku as their Chief AI Strategist. Jepson is very active in the global startup communities.

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