From AI to GX: The Quantum Leap in Algorithmic Evolution

Explore the revolutionary shift from Generative AI to Generative Algorithms (GX) in this 29-minute video lecture by Jepson Taylor. Delve into how Large Language Models are transforming algorithm design and challenging conventional notions of creativity in AI and data engineering. Gain valuable insights from Taylor's extensive experience in the tech industry, including his work at Intel/Micron and co-founding Zeff.ai. Discover the historical context of machine learning, deep learning generators, and the future of AI-driven algorithm creation. Learn about the paradigm shift in algorithmic evolution, explore practical examples like optimizer algorithms, and understand the implications of these advancements for data science, reinforcement learning, and AI innovation. Engage with thought-provoking content on AI's transformative role in technology and society, making this lecture an essential resource for professionals, enthusiasts, and anyone curious about the future of artificial intelligence and data visualization.

- Introduction
- Paradigm Shift: Machine Learning to Generative Algorithms
- Historical Context
- Deep Learning: generators
- Jepson’s Art with GPT 4
- Algorithms: Digital Tools Humans Invent
- Beyond AI: Generative Algorithms
- Optimizer Example
- Generated Algorithms: Digital Tools from the Future now
- Questions