geoffrey pyatt

A recording of the leaked 2014 phone call between US diplomat Victoria Nuland and ambassador Geoffrey Pyatt about the future of Ukraine's government, republished by The Tribune.

Physicist Geoffrey West speaks at an FQXi conference on time about complexity and scaling laws. He covers how metabolism, growth and lifespan scale across organisms and how the same mathematics applies to cities and companies.

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

A 2023 University of Toronto conversation between Geoffrey Hinton and Fei-Fei Li on responsible AI development. They look back at the history of deep learning and ImageNet and discuss the ethics and risks of AI.

Geoffrey Hinton gives an MIT talk on what is wrong with convolutional neural networks and introduces his capsules project. The description points to the capsule network papers.

A leaked 2014 phone call between US Assistant Secretary of State Victoria Nuland and Ambassador Geoffrey Pyatt discussing a political transition in Ukraine. It includes a crude remark about the European Union.

A subtitled upload of the leaked February 2014 phone call between US diplomat Victoria Nuland and Ambassador Geoffrey Pyatt discussing Ukraine's future government, including the profane remark about the EU.

Geoffrey Hinton's Google Tech Talk linking machine learning to biology, explaining dropout as a form of model averaging and why sexual reproduction and stochastic spiking neurons may prevent overfitting.

A 42-minute CBS interview with Geoffrey Hinton at the Vector Institute in 2023, covering the history of neural networks and the present and future of AI. He discusses AGI timelines and whether language models truly understand.

A one-minute clip from a 2016 Toronto conference in which Geoff Hinton comments on deep learning and radiology. He suggests radiologists should stop being trained because machines would soon read scans better.