Скачать или смотреть The Quiet History of Deep Learning: From AlexNet to ChatGPT (Sleep & Study)

This video provides a quiet, comprehensive narrative of the history of machine learning from 2012 to the present day. Designed as a background track for sleeping, studying, or deep work, the story traces the technical evolution of artificial intelligence without jarring sounds or rapid pacing.

The narrative is divided into three distinct eras. It begins with "The World Before," detailing the challenges of early computer vision and the pivotal 2012 ImageNet competition that ushered in the age of Deep Learning. The story then moves to the "Pretraining Turn" (2017–2020), explaining the invention of the Transformer architecture, the concept of attention mechanisms, and the rise of Large Language Models like BERT and GPT-2. Finally, it covers the modern era of Foundation Models, exploring how generative AI, diffusion models, and coding assistants have integrated into everyday life.

Whether you are an industry professional looking for a low-stimulation review of the field or simply seeking a tech-focused sleep aid, this video offers a gentle path through the complex history of how computers learned to understand our world.

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