Скачать или смотреть Self Writing Algorithms: Risks and Future

This video provides an overview of the evolution and future of computational systems, focusing particularly on the phenomenon of self-writing algorithms. It details the cutting edge of this field by examining concepts like AutoML, neuro-evolution, and meta-learning, where AI autonomously generates and refines its own code and capabilities. It also offers a broader historical context, tracing the evolution of algorithms from foundational figures like Pascal and Lovelace through the rise of modern AI and machine learning, before transitioning to discuss the philosophical and practical implications of these self-improving systems. It emphasize the profound shift toward a future where algorithms are not just tools, but active, self-modifying architects of unprecedented computational complexity.