In this talk, Ilya Sutskever—co-founder and Chief Scientist of OpenAI—reflects on a transformative decade of sequence-to-sequence (seq2seq) learning with neural networks. He delves into the early breakthroughs that brought seq2seq models into the spotlight, highlights key developments in architectures like LSTMs and Transformers, and discusses how these technologies led to today’s state-of-the-art language models. Join us for this deep dive into the pivotal milestones, lessons learned, and the future directions that will continue to shape the field of natural language processing and beyond.