In this conversation, Blaise Agüera y Arcas and Baratunde Thurston explored what a story of symbiosis and interdependence might teach us about living alongside AI. Agüera y Arcas began by calling individual human intelligence a myth: we’ve always been a collective intelligence, entwined with our technologies. He traced this back to symbiogenesis. Life has grown more complex not by splitting apart but by merging, as separate organisms fuse into increasingly complex new forms of life. These mergers speed up change by opening new possibilities. Thurston agreed that union is in our nature but framed the current technological acceleration as a speed problem. We need time and new stories to adjust because, as he reminded us, “when you invent the ship, you invent the shipwreck.” Caring for one another through acceleration must be our prime directive, he said. The two then turned to how we relate to AI. Responding to Joanna Bryson’s argument that robots should be our slaves, Thurston said the master is also in chains — owning another dehumanizes the owner. As relational beings, how we treat AI will shape how we treat each other. Thurston called for both an expansion and a humbling of how we define ourselves: “We’ve overdone independence,” he said, “interdependence makes us richer.” Agüera y Arcas agreed and pushed us to drop a zero-sum definition of human intelligence, where every AI advance diminishes humanity’s value. As technology advances, we trade some individual skills for new collective capabilities, Agüera y Arcas acknowledged. But over the long arc of history, he believes, that exchange pays off in collective flourishing. Thurston didn’t deny this, but he closed with an urgent question: who controls the loss of capabilities and agency?

The ocean is not empty. It is a vast storage facility of memory agents. Ocean bodies use the chemical signatures of seawater for memory and intelligence in ways we can barely imagine. In her Talk, Melody Jue said our struggle to understand ocean memory comes from our terrestrial bias. This bias shapes what we try to protect and the technologies we develop. We must, she said, “deterritorialize the sensorium.” For example, the vertical depths of the Pacific carry thermal signatures of ancient ice ages. Arctic glaciers are laced with matrices of microbes retaining genes from before the Great Oxidation Event. Whale songs are also memory agents, passed down through generations, preserving the cultural histories of the planet's largest creatures. Corals hold memory, too. Those exposed earlier to changing ocean pH are more resilient to acidification. Meanwhile, human cultural memory is in danger of disappearing alongside these ecosystems. Jue pointed to Indigenous and traditional environmental knowledge at risk, like the Ama divers’ fishing tradition, as abalone populations drop. To better translate the ocean sensorium, Jue worked with interdisciplinary artists, musicians, divers, and researchers to develop soundscapes that help us “smell” with our ears, remapping chemosensation through synesthesia. Don’t miss the moment in the Talk where she plays two original music pieces that use the density and flow of sound to mimic chemical gradients of seawater. “The ocean teaches us humility,” Jue concluded. “It makes us confront our preconceptions about the planet and sensation.”

What if the solutions to humanity’s greatest challenges — on Earth and beyond — have already been invented by nature? In this forward-looking talk, evolutionary biologist and astrobiologist Dr. Lynn Rothschild explores how life’s patterns, materials, and mechanisms, refined over billions of years, can serve as a blueprint for building better futures on Earth and other planets. Drawing on insights from deep time, Dr. Rothschild will open the doors to “nature’s hardware store” — a vast, largely untapped reservoir of biological strategies available to scientists, engineers, and innovators. From self-healing materials and bio-inspired architecture to regenerative systems for space exploration, she reveals how biology is shaping the frontiers of technology and inspiring bold, surprisingly practical solutions to complex problems. Grounded in astrobiology and evolutionary insight, this talk invites us to rethink innovation through the lens of life itself and to explore what’s possible when we tap into nature’s storehouse of intelligence to solve the challenges of tomorrow. Lynn J. Rothschild is a research scientist at NASA Ames and Adjunct Professor at Brown University and Stanford University working in astrobiology, evolutionary biology and synthetic biology. Rothschild's work focuses on the origin and evolution of life on Earth and in space, and in pioneering the use of synthetic biology to enable space exploration. From 2011 through 2019 Rothschild served as the faculty advisor of the award-winning Stanford-Brown iGEM (international Genetically Engineered Machine Competition) team, exploring innovative technologies such as biomining, mycotecture, BioWires, making a biodegradable UAS (drone) and an astropharmacy. Rothschild is a past-president of the Society of Protozoologists, fellow of the Linnean Society of London, The California Academy of Sciences and the Explorer’s Club and lectures and speaks about her work widely.

Blaise Agüera y Arcas’s talk took us on a journey through What is Intelligence?, his groundbreaking new work connecting the evolutionary dots between life, computation, and symbiogenesis. He explores how, in our symbiotic world, things combine to make larger things all the time. We might think of humanity in terms of the individual — but we're already part of everything we're creating, which is in turn co-creating us. In the story of technology and humanity, are we distinct from the technologies that we make? Agüera y Arcas' cuts through the essentialist dogma with a functionalist view: Biological computing — computation through DNA, RNA, and proteins — is not a strange outcropping of life but its very nature. Blaise Agüera y Arcas is a VP and Fellow at Google, where he is the CTO of Technology & Society and founder of Paradigms of Intelligence (Pi). Pi is an organization working on basic research in AI and related fields, especially the foundations of neural computing, active inference, sociality, evolution, and artificial life. During his tenure at Google, Blaise has innovated on-device machine learning for Android and Pixel; invented Federated Learning, an approach to decentralized model training that avoids sharing private data; and founded the Artists + Machine Intelligence program.