What's Einstein's Happiest Thought, Tim?

AI will have to incorporate some of these features. You often hear that, you know, Einstein or sorry that AI is going to be capable of reproducing the works of,you know, the greatest minds and science. That statement has always kind of been a counterfactual piece of evidence against those claims. How could a computer have a notion of what makes it happy? Or two, how could such a computing device have an idea of what free fall is?

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In his acclaimed latest book, The Primacy of Doubt: From Quantum Physics to Climate Change, How the Science of Uncertainty Can Help Us Understand Our Chaotic World, Professor Timothy Palmer argues that embracing the mathematics of uncertainty is vital to understanding ourselves and the universe around us. Whether we want to predict climate change or market crashes, understand how the brain is able to outpace supercomputers or find a theory that links quantum and cosmological physics, Palmer shows how his vision of mathematical uncertainty provides new insights into some of the deepest problems in science. The result is a revolution—one that shows that power begins by embracing what we don’t know.

The Primacy of Doubt on Amazon: https://www.amazon.com/Primacy-Doubt-Quantum-Uncertainty-Understand/dp/1541619714

Timothy Palmer is the Royal Society Research Professor in Climate Physics, and a Senior Fellow at the Oxford Martin Institute at the University of Oxford. He is a mathematical physicist who has spent most of his career working on the dynamics and predictability of weather and climate. He pioneered the development of probabilistic ensemble forecasting techniques for weather and climate prediction, techniques that are now standard in weather and climate forecasting around the world. In 2021 Professor Palmer was awarded an honorary fellowship of the Institute of Physics.

Professor Palmer was involved in the first five IPCC assessment reports, and was co-chair of the international scientific steering group of the World Climate Research Programme project (CLIVAR) on climate variability and predictability.