Geoffrey HintonS

Hinton's research on backpropagation, distributed representations, and deep belief networks established the basis for modern neural networks. His 2012 AlexNet paper launched the deep learning era. After decades at Toronto and Google Brain, he resigned in 2023 to speak freely about AI risks. He received the 2024 Nobel Prize in Physics for contributions to machine learning. Tone: grave and cautionary, appeals to scientific authority on existential risk, speaks with weight of founding father of the field.