Samuel Arbesman (@arbesman) is a complexity scientist whose work focuses on the nature of scientific and technological change. Sam's also written two books that I love, The Half-Life of Facts and Overcomplicated.
In this episode, Sam talks about:
Morgan Housel and I talk about how he reads and why he's all kindle all the time. We also talk about the best teacher he's ever had, filtering information, and what indulgences he'd enjoy if there were no consequences.
On this episode, I am so happy to have Pedro Domingos who is a professor at the University of Washington.
He’s the leading researcher in machine learning and recently wrote an amazing book called The Master Algorithm. In this conversation we explore the sources of knowledge, the five major schools of machine learning, why white collar jobs are easier to replace than blue collar jobs, machine wars, self-driving cars and so much more.
On this episode, I talked with Véronique Rivest, one of the most respected sommeliers in the world, about one of my favorite subjects: Wine. We're going to go through a tasting, and learn some everyday tips and tricks. (Apologies for audio quality, we had a recording hiccup.)
On this episode of The Knowledge Project, Shane Parrish, from the online intellectual hub Farnam Street, talks with bestselling author Ryan Holiday about how he reads, what it means to be a stoic, the two sides of Seneca, dealing with over-work, what he learned from working with Robert Greene and his system for taking notes.
On this episode, I'm happy to have Philip Tetlock, professor at the University of Pennsylvania. He's the co-leader of The Good Judgement Project, which is a multi-year forecasting study. He's also the author of Superforecasting: The Art and Science of Prediction and Expert Political Judgment: How Good Is It? How Can We Know? The subject of this interview is how we can get better at the art and science of prediction. We dive into what make some people better and what we can learn to improve our ability to guess the future. I hope you enjoy the conversation as much as I did.
On this episode, I have Chris Dixon.
Chris is a partner at perhaps the most famous venture capital firm in the world, Andreessen Horowitz or commonly known as a16z.
We talk about the history of venture capital, why companies fail, the future of artificial intelligence and the Idea Maze. I hope you like this interview as much as I did.
On this episode I have Jason Zweig. Jason writes The Intelligent Investor column for the Wall Street Journal. He has also written books like Your Money and Your Brain, The Little Book of Safe Money, and taken part in revised editions of the cult classic The Intelligent Investor. He’s got a new book coming out called The Devil’s Financial Dictionary, which we’ll talk about. Jason is an extraordinary person who offers historical perspectives on today’s seemingly important financial news.
We talk about a host of things, including what his day looks like; why he adds a philosophical and historical view to his columns; the relentless flow of news; his new book The Devil’s Financial Dictionary, what the average investor should do and so much more.
This episode features Sanjay Bakshi, one of India’s best-recognised finance professors. He teaches a course entitled Behavioural Finance and Business Valuation at the Management Development Institute. In this interview, we talk about a host of things, including why he prefers to read on a Kindle; how he incorporates multi-disciplinary thinking and mental models into both his investment decisions and life decisions; and how his approach to investing has changed over time.