Before LLMs, There Was Evolution

Are we thinking about AI all wrong? While the world focuses on *training* models, a powerful, older paradigm of *evolving* them holds the key to the next wave of innovation. In this video, we're diving into the foundational principles of Genetic Algorithms (GAs) and Genetic Programming (GP). This isn't just a history lesson. I'm taking you back to the topic of my PhD research to uncover the timeless mechanics that are now being combined with LLMs to create truly novel solutions. We'll go under the hood to understand the "digital DNA" that allows code to rewrite itself, and how the explosive power of "crossover" enables a search for solutions that's exponentially better than random guessing. We'll break down the core concepts every AI builder should know, and debunk some common myths along the way. ### WANT TO GO DEEPER? This is the first video in my series on Evolutionary AI. Subscribe so you don't miss the next episodes where we connect these ideas to cutting-edge papers like AlphaEvolve! ### SOCIALS * https://github.com/mdda * https://sg.linkedin.com/in/martinandrews * https://x.com/mdda123 ### Previous Video in Series * https://youtu.be/98mkDuE4Q10 #AI #GeneticAlgorithms #EvolutionaryAI #AIExplained #TechExplained