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.

As they look upon the United States of America in 02025, Ezra Klein and Derek Thompson see a country wrought by a half-century of failed governance. They see states and cities theoretically committed to progressive futures instead bogged down in labyrinthine mires of process — a society stuck in low gear. Yet they also see opportunity to turn those failures on their heads, and to build a better society based around more responsive, efficient governance.

This is the vision that animates _Abundance_, Klein and Thompson’s new book and the focus of their Long Now Talk, hosted by Michael Pollan and co-sponsored with Manny’s and City Arts & Lectures. Despite Long Now’s focus on long-term thinking — of counterbalancing civilization’s pathologically short attention span — there was much to appreciate in Klein and Thompson’s call for American governance to “rediscover speed as a progressive value.” In their wide-ranging discussion, the two authors made the case for a vision of liberalism that builds, both for its own sake and as a bulwark against reactionary right-wing movements that have capitalized on its current shortcomings.

Klein and Thompson spent much of their conversation diagnosing the precise ways in which American governance has become bogged down. They identified a set of breakdowns in the social contract ranging from the overly-restrictive barriers to building housing and green infrastructure to the utterly inadequate governmental support given to technological development and scientific discovery. On the topic of scientific research, they spoke of the value of long-term science, noting that vital discoveries like penicillin, mRNA vaccines, and GLP-1s all benefited from the long-term investment that the private sector rarely provides.

At the close of the conversation, Pollan thanked Klein and Thompson for providing “not empty hope” but a vision “with a real path in front of it.” In their talk, Klein and Thompson didn’t just outline that path — they made clear the stakes of moving down it. We do not, as they argued, have the “luxury of time.” In order to build the abundant, progressive society that they envision, we must abandon “learned helplessness” and commit to building it with all necessary urgency and focus.

Stephen Heintz and Kim Stanley Robinson say we live in an “Age of Turbulence.”

Looking around our geopolitical situation, it’s easy to see what they mean. Faced with the ever-growing threat of climate change, the looming potential breakdown of the post-01945 international order, and the ambiguous prospects of rapid technological changes in fields like AI, biotechnology, and geoengineering, it is clear that we need new answers to new challenges.

Stephen Heintz, a Public policy expert and president of the Rockefeller Brothers Fund (RBF), and Kim Stanley Robinson, one of the most acclaimed science fiction authors writing today, work in very different fields. But each of them in his own way has sketched out a vision of what we must do to face down the intersecting crises of our time: While their methods may differ, they align on their conclusions.

In their Long Now Talk, Heintz and Robinson propose what they refer to as _A Logic For The Future_ — a new path for international relations in the face of the chaos of our current age.

Over the course of their conversation, Stephen and Stan drew on a wide variety of historical examples to contextualize our seemingly unprecedented geopolitical moment. In all of these case studies — from the writing of the Atlantic Charter in the darkest days of World War II to the fraught deal-making and relationship-building that allowed for the signing of the Iran Nuclear deal in 02015 — the two focused on the power of human-driven, almost utopian visions of the future as tools for building a better world.

Now, in a moment of geopolitical uncertainty and internal democratic crisis, Stephen and Stan see space for the kinds of utopian imagination and creativity that were so solely missed in prior moments of flux and chaos. Long-term thinking is key to this kind utopian thinking. In Stan’s words, the “optimistic” possibilities of long-term thinking are not just useful in dreaming up a better future. They’re “reinvigorating in how we address the problems we face on a day-to-day basis.”

How will AI shape our understanding of our creativity and ourselves?

In February, artist and technologist K Allado-McDowell delivered a fascinating Long Now Talk that explored the dimensions of Neural Media — their term for an emerging set of creative forms that use artificial neural networks inspired by the connective design of the human brain.

Their Long Now Talk is a journey through the strange valleys and outcroppings of this age of neural media. That journey began in 02015, in the wake of K Allado-McDowell’s encounter with an image known as “trippysquirrel.jpg.” That picture — a squirrel flowing into dog into a slug, a hallucinogenic collection of misplaced eyes and waves of color — was generated by what was then a cutting-edge artificial intelligence system: a convolutional neural network.

What AI researchers did with the creation of images like “trippysquirrel.jpeg” was to invert the traditional role of the neural network as classifier: transforming it into a tool for the generation of novel material. The captivating, uncanny potential of these AI-generated images inspired Allado-McDowell to form and lead the Artists + Machine Intelligence program at Google, and to begin their own explorations into co-creating art with artificial intelligence.

Now, after a decade spent composing novels, operas, and more alongside a variety of AI models, Allado-McDowell sees the mode of creativity offered by these non-human intelligences as not just a novelty but an entirely new, sometimes bizarre paradigm of media. Allado-McDowell tells a fascinating story involving statistical distributions, anti-aging influencers at war with death itself, and vast quantities of “AI Slop,” the low-quality, faintly surreal output of cheap, rapidly proliferating image models.

Yet even in this morass of slop Allado-McDowell sees reason for optimism. Referring to the title of their 02020 book Pharmako-AI, which was co-written with GPT-3, Allado-McDowell notes that the Greek word pharmakon could mean both drug and cure. What may seem poisonous or dangerous in this new paradigm of neural media could also unlock for us new and deeper ways of understanding ourselves, our planet, and all of the intelligent networks that live within it.

When you feel the future, how do you share that feeling in order to build community?

Ahmed Best’s Long Now Talk was the first in the more-than-twenty-year history of Long Now Talks to be held on Valentine’s Day. It was also the first to feature a sing-a-long performance of Al Green’s 01970s soul music classic “Let’s Stay Together,” with the speaker accompanying the audience at San Francisco’s Herbst Theatre on a 7-piece drum kit. Finally, it was the first to feature a live theater performance from audience volunteers, depicting the past, present, and future through glances, gestures, and play.

Yet beyond these firsts, Ahmed Best’s Long Now Talk felt deeply rooted in the spirit of Long Now Talks. Over the course of _Feel the Future_, Ahmed’s Valentine’s Evening Long Now Talk, he lead the audience on a journey through creativity and imagination, drawing on his experiences as a cast member on the award-winning percussion performance Stomp, as Jar-Jar Binks, the ground-breaking first major CGI character actor in Star Wars: Episode I – The Phantom Menace, and as a lecturer at the Stanford d.school and one of the leaders of the AfroRithms Futures Group.

The core of Ahmed’s argument? Feeling is a form of communication in itself, beyond words — and only by taking action and sharing our feelings of the future with each other in our communities can we create the futures we want for ourselves. Using a diverse range of creative and imaginative tactics, Best incorporated play and motion in order to help us Feel The Future.

We find ourselves in a pre-paradigmatic moment in which our technology has outpaced our theories of what to do with it.

The task of philosophy today is to catch up.

In his Long Now Talk, Philosopher of Technology Benjamin Bratton took us on a whirlwind philosophical journey into the concept of Planetary Computation — a journey that began in classical Greece with the story of the Antikythera mechanism, the analog computer that gave his think-tank Antikythera its name. But his inquiry stretched far beyond antiquity — back to the very origins of biological life itself and forward to a present and future where we must increasingly grapple with artificial life and intelligence on a planetary scale in time and space.

How might complex planetary intelligence thrive over the long now? To Bratton, that intelligence is a “emergent phenomenon of an ancient and deep biogeochemical flux” — not merely resident to the Earth but an outcropping from it. Our planet has evolved us, and we have in turn evolved a stack of technologies that can help us understand and govern that very same planet that produced us.

The preconditions for long-term adaptiveness, Bratton argues, will need to be artificially realized, and we won’t be able to control what happens as a result of bringing them into existence. This, Bratton says, is the Copernican trauma of our time.

In concluding his remarks, Bratton turns to James Lovelock, the pioneering environmental scientist who first proposed the Gaia Hypothesis. Referencing Lovelock’s final book, Novacene: The Coming Age of Hyperintelligence (02019), Bratton notes that for both Lovelock and himself the potential coming of post-human intelligence was not cause for “grief.” Instead, the frame of the planetary makes it so that finding ourselves in a grander story where “the evolution of intelligence does not peak with one terraforming species of nomadic primates,” is, to Bratton, “the happiest news possible.”