
Show Notes
Blaise Agüera y Arcas, author and CTO of Technology & Society at Google, returns to the podcast to talk about his new work, What is Life?. This limited-edition, pocket-sized book is the first part of a larger print project with MIT Press and Antikythera titled What Is Intelligence?. What is Life? draws fascinating parallels between the life-building chemical reactions taking place in natural chimneys deep in our oceans and the work of Alan Turing and John von Neumann in the mid-twentieth century. Blaise joins Robb and Josh to explore how self-reproduction—and thus life—is inherently computational. This conversation delves into the nested nature of life on Earth and how technology is an extension of our evolution.
You can buy Blaise’s books from Hat & Beard Press: Who Are We Now? https://hatandbeard.com/products/who-are-we-now-by-blaise-aguera-y-arcas Ubi Sunt https://hatandbeard.com/products/ubi-sunt-by-blaise-aguera-y-arcas
In this episode, we mention: Blaise Agüera y Arcas’s work, “What is Life” — read for free online: https://whatisintelligence.antikythera.org Lynn Margulis’s books: https://www.amazon.com/Books-Lynn-Margulis/s?rh=n%3A283155%2Cp_27%3ALynn%2BMargulis Conventional evolutionary theory (Neo-Darwinism): https://en.wikipedia.org/wiki/Neo-Darwinism Stephen Jay Gould’s books: https://www.amazon.com/Books-Stephen-Jay-Gould/s?rh=n%3A283155%2Cp_27%3AStephen%2BJay%2BGould W. Brian Arthur’s book, “The Nature of Technology: What It Is and How It Evolves”: https://www.amazon.com/Nature-Technology-What-How-Evolves/dp/1416544062 The Invisible Machines episode, "Radically Honest AI with Dr. Anna Lembke": S5E01 Radically Honest AI with Dr. Anna Lembke Anna Lemble’s book, “Dopamine Nation: Finding Balance in the Age of Indulgence”: https://www.amazon.com/Dopamine-Nation-Finding-Balance-Indulgence/dp/152474672X Richard S. Sutton and Andrew G. Barto's book, "Reinforcement Learning: second edition: An Introduction (Adaptive Computation and Machine Learning series)" (about temporal difference learning): https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/ref=dp_ob_title_bk Wolfram Schultz’s work, “Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task”: https://pubmed.ncbi.nlm.nih.gov/8441015/ The direction of time and Boltzmann’s time hypothesis: http://staff.mechmining.uq.edu.au/klimenko/pub/pdf/Phys_Scr_2019.pdf Ray Kurzweil's book, "The Singularity Is Near: When Humans Transcend Biology": https://www.amazon.com/Singularity-Near-Humans-Transcend-Biology/dp/0670033847 The story of the Luddites: https://en.wikipedia.org/wiki/Luddite The Invisible Machines episode, “The Intelligence All Around Us” with James Bridle: S4E4 The Intelligence All Around Us James Bridle’s' book, “Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence”: https://www.amazon.com/Ways-Being-Machines-Planetary-Intelligence/dp/0374601119 Disney Pixar’s movie, “WALL·E”: https://www.imdb.com/title/tt0910970/ Joseph Henrich's book, "The Secret of Our Success: How Culture Is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter": https://www.amazon.com/Secret-Our-Success-Evolution-Domesticating/dp/0691166854 Ethan Mollick's book, "Co-Intelligence: Living and Working with AI": https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X
Learn about creating and orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_blaise_aguera_y_arcas&utm_content=1
#AI #AIPodcast #TechPodcast #InvisibleMachines #ArtificialIntelligence #AIAgents #AgenticAI #TechInnovation #WhatIsLife #AIandLife #AIResearch #Intelligence #EvolutionAndTechnology #LifeOnEarth #TechAndSociety
More from Invisible Machines podcast by UX Magazine
For twenty-five years, Ben Reason and Lavrans Løvlie have been trying to give services the design quality people already expect from a product. Everybody knows what a designed BMW feels like. Almost nobody loves their bank, their hospital, or their mortgage. A product is the contract. A service is everything before it, during it, and after you are done, and it includes the relationships people do not aspire to: tax, a prison, a claim.
Three years after The Song of Significance, Seth Godin returns to Invisible Machines on the day his new book arrives, The Knot: Problems Can Be Solved. The compression of his body of work is now a sorting tool. Most stuckness is not a lack of information, it's an entanglement—two incompatible wants held at once. Effort doesn’t help. You stay stuck until you name the pin, pull it out, and loosen the knot.
The demo works. People start depending on it. Then one morning you have to explain yesterday's decision to someone who wasn't in the room.
Three years after his first Invisible Machines visit, Don Scheibenreif returns with a sharper read on the trough: everybody knows generative AI, almost nobody has answered what it does to the business model. He led Gartner’s Autonomous Business research, the successor to digital business, and co-authored When Machines Become Customers. The through-line is that AI is a tool, the harder question is how to create value with it.
There’s a particular kind of exhaustion that hits when you’re building with AI. You’ve got the license. You’ve got the pilot. You’ve got a chat window that generates whatever you ask for. But then comes the wall—the workflow that almost works, the dependency that loops back on itself, victories that only come when you quietly move the goalposts. In this episode, we talk about how to get around the wall.