Doyne Farmer: Making Sense of Chaos

Doyne Farmer: Making Sense of Chaos

Author: Helen and Dave Edwards December 12, 2024 Duration: 55:46

We’re excited to welcome Doyne Farmer to the podcast. Doyne is a pioneering complexity scientist and a leading thinker on economic systems, technological change, and the future of society. Doyne is a Professor of Complex Systems at the University of Oxford, an external professor at the Santa Fe Institute, and Chief Scientist at Macrocosm.

Doyne’s work spans an extraordinary range of topics, from agent-based modeling of financial markets to exploring how innovation shapes the long-term trajectory of human progress. At the heart of Doyne’s thinking is a focus on prediction—not in the narrow sense of forecasting next week’s market trends, but in understanding the deep, generative forces that shape the evolution of technology and society.

His new book, Making Sense of Chaos: A Better Economics for a Better World, is a reflection on the limitations of traditional economics and a call to embrace the tools of complexity science. In it, Doyne argues that today’s economic models often fall short because they assume simplicity where there is none. What’s especially compelling about Doyne’s perspective is how he uses complexity science to challenge conventional economic assumptions. While traditional economics often treats markets as rational and efficient, Doyne reveals the messy, adaptive, and unpredictable nature of real-world economies. His ideas offer a powerful framework for rethinking how we approach systemic risk, innovation policy, and the role of AI-driven technologies in shaping our future.

We believe Doyne’s ideas are essential for anyone trying to understand the uncertainties we face today. He doesn’t just highlight the complexity—he shows how to navigate it. By tracking the hidden currents that drive change, he helps us see the bigger picture of where we might be headed.

We hope you enjoy our conversation with Doyne Farmer.

------------------------------

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Subscribe to get Artificiality delivered to your email

Learn about our book Make Better Decisions and buy it on Amazon

Thanks to Jonathan Coulton for our music



Hosted by Helen and Dave Edwards, Stay Human, from the Artificiality Institute is a conversation that lives in the messy, human space between our tools and our selves. Each episode digs into the subtle ways artificial intelligence is reshaping our daily decisions, our creative impulses, and even our sense of identity. This isn't a technical manual or a series of futuristic predictions; it's a grounded exploration of how we maintain our agency in a world increasingly mediated by algorithms. The podcast operates from a core belief: that our engagement with AI should be about more than just safety or efficiency-it needs to be meaningful and worthwhile. You'll hear discussions rooted in story-based research, where complex ideas about cognition and ethics are unpacked through relatable narratives and real-world examples. The goal is to provide a framework for thoughtful choice, helping each of us consciously design the relationship we want with the machines in our lives. Tuning in offers a chance to step back from the hype and consider how we can actively remain the authors of our own minds, preserving what makes us uniquely human even as the technology evolves. It's an essential listen for anyone curious about the personal and philosophical dimensions of our digital age.
Author: Language: en-us Episodes: 100

Stay Human, from the Artificiality Institute
Podcast Episodes
Don Norman: Design for a Better World [not-audio_url] [/not-audio_url]

Duration: 1:03:51
What role does design have in solving the world’s biggest problems? What can designers add? Some would say that designers played a role in getting us into our current mess. Can they also get us out of it? How can we desi…
Jamer Hunt: Not to Scale [not-audio_url] [/not-audio_url]

Duration: 1:08:32
What are the cause and effect of my actions? How do I know the effect of the small acts in my life? How can I identify opportunities to have impact that is much larger than myself? How can we make problems that seem over…
David Krakauer: Complexity [not-audio_url] [/not-audio_url]

Duration: 1:34:34
We’re always looking for new ideas from science that we can use in our work. Over the past few years, we have been researching new ways to handle increasing complexity in the world and how to solve complex problems. Why…
Generative AI: ChatGPT, DALL-E, Stable Diffusion, and the rest [not-audio_url] [/not-audio_url]

Duration: 29:43
Everyone’s talking about it so we will too. Generative AI is taking the world by storm. But is it a good storm or a scary storm? How should individuals think about what’s possible? What about companies? Our take: generat…
Kees Dorst: Frame Innovation [not-audio_url] [/not-audio_url]

Duration: 1:02:50
What can we learn from the practice of design? What might we learn if we had an insight into top designers’ minds? How might we apply the best practices of designers beyond the field of design itself? Most of our listene…
No-duhs and some surprises [not-audio_url] [/not-audio_url]

Duration: 26:37
The latest Big Ideas report from MIT Sloan and BCG makes for an interesting read but contains flaws, obvious conclusions, and raises more questions than it answers.We discuss this report and make some suggestions about h…
Elon's error calculation at Twitter [not-audio_url] [/not-audio_url]

Duration: 27:29
Twitter as we knew is gone. Elon has fired half the full time employees and 80 percent of the contractors. It’s a brutal way to trim excess fat, reset the culture, and establish a loyal band. But is it a good decision? H…
Marina Nitze and Nick Sinai: Hack Your Bureaucracy [not-audio_url] [/not-audio_url]

Duration: 56:50
We all likely want to improve the organizations we work in. We might want to improve the employee experience, improve the customer experience, or be more efficient and effective. But we all likely have had the experience…
Tom Davenport and Steve Miller: Working with AI [not-audio_url] [/not-audio_url]

Duration: 52:38
How will AI change our jobs? Will it replace humans and eliminate jobs? Will it help humans get things done? Will it create new opportunities for new jobs? People often speculate on these topics, doing their best to pred…