Paradigm Shifts in AI
Acknowledging past limitations in AI research, Terry emphasizes the importance of paradigm shifts that lead to breakthroughs, such as the development of backpropagation and the transformer architecture. He highlights the rapid advancements in large language models, noting contrasting expert opinions on their understanding of complex concepts. The discussion reveals the vast training data these models draw from, showcasing the unexpected potential and applications that continue to emerge in the field.In this clip
From this podcast
Eye on AI
NeurIPS and the Future of AI | Terry Sejnowski | Eye on AI #115
Related Questions