This AI:AM highlights cut brings together Cameron Berg, David Duvenaud, Michiel Bakker, Shawn “swyx” Wang, and Bing Xu to examine what we understand about frontier AI systems and what happens as more…
En 1989, le réalisateur Robert Zemeckis imaginait un futur où, en 2015, les voitures voleraient et les pizzas gonfleraient toutes seules au four. La réalité a été bien différente. Mais aujourd’hui,…
This week, OpenAI announced a loosened partnership with Microsoft and an aggressive new strategy to secure computing power. We unpack what these updates signal about OpenAI’s business strategy and…
Democracy might be a brief historical blip. That’s the unsettling thesis of a recent paper, which argues AI that can do all the work a human can do inevitably leads to the “gradual disempowerment” of…
David Duvenaud is an associate professor of computer science and statistics at the University of Toronto. He joins the podcast to discuss gradual disempowerment in a post-AGI world. We ask how humans…
In this episode of the Existential Hope Podcast, Beatrice Erkers is joined by David Duvenaud, Associate Professor at the University of Toronto and former researcher at Anthropic. We discuss David’s…
David Duvenaud is an associate professor at the University of Toronto. He recently organised the workshop on ‘Post-AGI Civilizational Equilibria’ , and he is a co-author of ‘Gradual Disempowerment’.…
This is an interview with David Duvenaud, Assistant Professor at University of Toronto, co-author of the Gradual Disempowerment paper, and former researcher at Anthropic. This is the first episode in…
David Duvenaud is a professor of Computer Science at the University of Toronto, co-director of the Schwartz Reisman Institute for Technology and Society, former Alignment Evals Team Lead at…
In this episode, I chat with David Duvenaud about two topics he's been thinking about: firstly, a paper he wrote about evaluating whether or not frontier models can sabotage human decision-making or…
View the transcript for this episode here: https://mindsalmostmeeting.com/episodes/ai-risk Imagine two smart curious friendly and basically truth-seeking people, but from very different…
In the early 1900s, all of our predictions were the direct product of human brains. Scientists, analysts, climatologists, mathematicians, bankers, lawyers and politicians did their best to anticipate…
Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network.…
In this episode we talk about an article Troubling Trends in Machine learning Scholarship the difference between engineering and science (and the mountains you climb to span the distance) plus we…
In this episode, we hear from David Duvenaud, assistant professor in the Computer Science and Statistics departments at the University of Toronto. David joined me after his talk at the Deep Learning…