Long Now

Kate Crawford’s Long Now Talk traces an historical arc from Renaissance perspective to AI image models, illustrating how shifts in representational power shape empires, economies—even our shared sense of reality.

During the talk, Crawford gives a tour through her detailed artwork Calculating Empires. Through examples ranging from Liebig’s critique of agriculture “robbing” soil nutrients, to Faraday’s latex insulation that devastated rubber forests, Crawford shows how technologies have long created “metabolic rifts”: systems that extract more than they regenerate. 

Don't miss the closing Q&A, where host Kevin Kelly asks Crawford what responsible, non-extractive AI might look like.

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.

What if AI is not here actually to replace us, but to remind us who we actually are?

That was the question at the heart of Kim Carson’s Long Now Talk. In _Inspired by Intelligence: Purpose and Creativity in the AI Era_, Carson challenged us to avoid the easy narratives of tech-driven utopia and dystopia, charting a course through those two extremes that made the case for AI not as a way to make humans unnecessary but to emphasize our most important creative capacities.

In her talk, Carson drew on her experience working in AI at organizations like IBM, where she helped lead Watson Education, which helped connect educators in underserved communities to AI technology, in the name of facing down some of the wickedest problems in society. But she also drew on her own more personal engagement with AI, discussing at length the nuances of how she uses personalized versions of generative pre-trained transformers as collaborators and enablers for creativity.

For Carson, AI is a sort of tool for thought — a mirror that we can use to re-inspire ourselves towards greater creativity. Accompanied by video art made using the SORA text-to-video model by Charles Lindsay, she made the case that AI could be used not just for automating labor but also for reclaiming human agency. That means using these new technological modes as enablers for human thought and action, while recognizing their gaps, too — the questions about ourselves that only we can answer, no matter how sophisticated our technology becomes.

Throughout her talk, Carson expounded upon the power of vulnerability. The ability to use AI tools to help us reconnect with ourselves, to jar us into seeing our own identities and creative capacities in new lights, is one that will fundamentally help us change our world. In Carson’s view, vulnerability and creativity are the necessary precursors to any sort of technological innovation.

As she ended her remarks, Kim made one final note on how we can make a better world collaboratively and creatively: our society does not need “more optimization, it needs more imagination.”

“What is life?”

In her Long Now Talk, astrobiologist and theoretical physicist Sara Imari Walker explores the many dimensions of that seemingly simple question.

Starting from the simplest precursors, Walker assembled a grand cathedral of meaning, tracing an arc across existence that linked the fundamentals of organic chemistry, the possibility space of lego bricks, and the materialist philosophy of Madonna.

As the leader of one of the largest international theory groups in the origins of life and astrobiology, Walker has worked an interdisciplinary team of researchers to devise assembly theory: a theory of life and its origins that finds that life is the only way to create complex objects, and that the existence of complex objects is fundamentally and quantifiably rare. Assembly theory’s focus on complexity and countability allows astrobiologists like Walker to grapple with the sheer vastness of combinatorial space — the set of all things that could possibly exist.

That set is vaster than the universe itself can hold, which, of course, raises a foundational question: if the universe cannot exhaust all possibilities of what can exist, what determines what actually exists, and what merely could exist?

Assembly theory uses the concept of the "assembly index" to measure the complexity of objects in the universe, quantifying how many steps are required to build something — a molecule like ATP, the primary energy-carrier in cells, for example. The theory finds that items above a given assembly index of 15 cannot be produced repeatedly by any known process save for life itself — a complexity threshold governed by the size of the possibility space. Implied here is that matter itself holds information. Within the physical dimensions and history of any given object is a measure of the information required to construct it. Likewise, historical contingency matters: it determines what gets constructed within the space of all theoretically possible constructions.

In Walker's words: "We are our history."

Life is causal histories — lineages of propagating information. Assembly theory conceptualizes objects as entities defined by their possible formation histories, allowing a unified language for describing selection, evolution and the generation of novelty. Within assembly theory, the fundamental unit of life is not the cell, but the lineage.