The Orthogonal Bet

In this episode of The Orthogonal Bet, host Samuel Arbesman speaks with Niko McCarty, the founding editor of Asimov Press. With a background in biology and science journalism, McCarty now leads Asimov Press, a publication dedicated to deep, thoughtful articles at the frontiers of biology and its history.

Arbesman, a longtime admirer of McCarty’s writing, was eager to explore his insights for many reasons. As the builder of a new press and a curator of compelling scientific narratives, McCarty has a unique perspective on science journalism. But beyond that, he also has his finger on the pulse of the future of biology itself.

Their conversation delves into McCarty’s journey into science journalism and how his newsletter became a transformative force in his career. They discuss his vision for Asimov Press, the reasoning behind publishing science fiction short stories alongside rigorous scientific writing, and the press’s expansion into print publishing—offering a glimpse into how McCarty envisions the future of science communication.

When it comes to biology, Niko provides so much wisdom into how to think about the cutting-edge in biology and biotech. They explore the levers that create biological progress, and Niko’s vision of the future in biology.

Produced by ⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠

Music by Suno ⁠⁠⁠⁠⁠

In this episode, host Samuel Arbesman speaks with ⁠Dave Jilk⁠. Dave is a tech entrepreneur and writer. He’s done a ton: started multiple companies, including in AI, published works of poetry, and written scientific papers. And he’s now written a new book that is an epic poem about the origins of Artificial General Intelligence, told from the perspective of the first such entity. It’s titled ⁠Epoch: A Poetic Psy-Phi Saga⁠ and is a deeply thoughtful humanistic take on artificial intelligence, chock-full of literary allusions.

Sam wanted to speak with Dave to learn more about the origins of Epoch as well as how he thinks about AI more broadly. They discussed the history of AI, how we might think about raising AI, the Great Filter, post-AGI futures and their nature, and whether asking if we should build AGI is even a good question. They even finished this fun conversation with a bit of science fiction recommendations.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman speaks with the writer ⁠Henry Oliver⁠. Henry is the author of the fantastic new book ⁠Second Act⁠. This book is about the idea of late bloomers and professional success later in life, and more broadly how to think about one’s career, and Sam recently reviewed it for The Wall Street Journal. Sam really enjoyed this book and wanted to have a chance to discuss it with Henry.

Henry and Sam had a chance to talk about a lot of topics, beginning with how to actually define late bloomers and what makes a successful second act possible, from experimentation to being ready when one’s moment arrives. They also explored why society doesn’t really accept late bloomers as much as one might want it to, how to think about the complexity of cognitive decline, what the future of retirement might look like, along with many examples of late bloomers—from Margaret Thatcher to Ray Kroc.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman speaks with Dominic Falcao, a founding director of Deep Science Ventures (DSV), which he created in 2016 after leading Imperial College London’s science startup program. Deep Science Ventures takes a principled and problem-based approach to founding new deep tech startups. They have even created a PhD program for scientists specifically geared towards helping them create new companies.

Sam wanted to speak with Dom to discuss the origins of Deep Science Ventures, as well as how to think about scientific and technological progress more broadly, and even how to conceive new research organizations.

Dom and Sam had a chance to discuss tech trees and the combinatorial nature of scientific and technological innovation, non-traditional research organizations, Europe’s tech innovation ecosystem, what scientific amphibians are, and the use of AI in the realm of deep tech.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman speaks with writer, researcher, and entrepreneur⁠ Max Bennett⁠. Max is the cofounder of multiple AI companies and the author of the fascinating book ⁠A Brief History of Intelligence⁠: Evolution, AI, and the Five Breakthroughs That Made Our Brains. This book offers a deeply researched look at the nature of intelligence and how biological history has led to this phenomenon. It explores aspects of evolution, the similarities and differences between AI and human intelligence, many features of neuroscience, and more.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman speaks with novelist ⁠Lev Grossman⁠. A longtime fan of Lev’s novels, the host delves into his works, including ⁠The Magicians trilogy⁠—a splendid set of books about a university for magic, fantastical worlds, and much more. These books are amazing. Lev’s newest book is the novel ⁠The Bright Sword⁠, a retelling of the legends of King Arthur, particularly focusing on what happens after Arthur dies.

The Sam devoured The Bright Sword and found it fascinating. It’s a book that weaves together ideas about gods and magic, the layering of myths across history, and much more—all topics explored in the conversation with Lev.

Lev and Sam discuss the story of King Arthur, its gaps and its history, the layering of gods and stories over time, the nature of magic and religion, the importance of secondary worlds, and the magic in The Magicians versus the magic of The Bright Sword. They even have a chance to discuss Lev’s next project, which is a space opera. This episode was a lot of fun.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman  speaks with⁠ Alex Miller⁠, a software developer and artist known for his work on a project called ⁠Spacefiller⁠. This project exemplifies generative art, where computer code is used to create art and imagery. Spacefiller itself is a pixelated form of artwork that feels organic and biological, but is entirely crafted through algorithms.

Sam invited Alex to discuss not only Spacefiller, but also the broader world of generative art, and the concept of coding as a fun and playful activity. Together, they explore topics such as the distinction between computation as art and computation as software engineering, the nature of algorithmic botany, and even the wonders of graph paper.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman speaks with ⁠J. Doyne Farmer⁠, a physicist, complexity scientist, and economist. Doyne is currently the Director of the Complexity Economics program at the Institute for New Economic Thinking at the Oxford Martin School and the Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment at the University of Oxford.

Doyne is also the author of the fascinating new book ⁠“Making Sense of Chaos: A Better Economics for a Better World.”⁠

Sam wanted to explore Doyne’s intriguing history in complexity science, his new book, and the broader field of complexity economics. Together, they discuss the nature of simulation, complex systems, the world of finance and prediction, and even the differences between biological complexity and economic complexity. They also touch on Doyne’s experience building a small wearable computer in the 1970s that fit inside a shoe and was designed to beat the game of roulette.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno

In this episode, host Samuel Arbesman speaks with ⁠Tarin Ziyaee⁠, a technologist and founder, about the world of artificial life. The field of artificial life explores ways to describe and encapsulate aspects of life within software and computer code. Tarin has extensive experience in machine learning and AI, having worked at Meta and Apple, and is currently building a company in the field of Artificial Life. This new company—which, full disclosure, Sam is also advising—aims to embody aspects of life within software to accelerate evolution and develop robust methods for controlling robotic behavior in the real world.

Sam wanted to speak with Tarin to discuss the nature of artificial life, its similarities and differences to more traditional artificial intelligence approaches, the idea of open-endedness, and more. They also had a chance to chat about tool usage and intelligence, large language models versus large action models, and even robots

In this conversation, host Samuel Arbesman speaks with ⁠Omar Rizwan⁠, a programmer currently working on ⁠Folk Computer⁠. Omar has a longstanding interest in user interfaces in computing and is now focused on creating physical interfaces that enable computing in a more communal and tangible way—think of moving sheets of paper in the real world and projecting images onto surfaces. Folk Computer is an open-source project that explores a new type of computing in this vein.

Samuel engages with Omar on a range of topics, from Folk Computer and the broader space of user interfaces, to the challenges of building computer systems and R&D organizations. Their conversation covers how Omar thinks about code and artificial intelligence, the world of physical computing, and his childhood experiences with programming, including the significance of meeting another programmer in person for the first time.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by Suno