One of my favorite rhetorical and analytical moves is joining things together (showing that two different, seemingly unrelated ideas are aspects of the same phenomenon) and taking them apart (resolving a paradox by demonstrating that what appears to be one, contradictory thing is actually two different things that have been lumped together).
Pluralistic: Deplatform yourself (23 Feb 2026) – Pluralistic: Daily links from Cory Doctorow
The first time I met William Gibson – to interview him for the Globe and Mail on the release of 1999's All Tomorrow's Parties – there was one question I knew I wanted to ask him: "What happens to the counterculture in the era of instantaneous commodification?"
What Theory is Not, Theorizing Is
The Return of the Cutting-Off Way
Structural changes are driving us towards a more chaotic world, defined by "neither peace nor war, but conflict."
Pluralistic: Digital sewer socialism (08 Aug 2026) – Pluralistic: Daily links from Cory Doctorow
Hardly a day goes by without my getting an email from someone looking for a way to do good with technology. From computer science students thinking about post-grad careers to seasoned coders with decades of experience, there's an army of hackers looking for a way to turn their expertise into public goods.
Pluralistic: The Post-American Internet (01 Jan 2026) – Pluralistic: Daily links from Cory Doctorow
On December 28th, I delivered a speech entitled "A post-American, enshittification-resistant internet" for 39C3, the 39th Chaos Communications Congress in Hamburg, Germany. This is the transcript of that speech.
Pluralistic: How Canada can help Americans and defeat America (23 Aug 2026) – Pluralistic: Daily links from Cory Doctorow
As Canada is learning (the hard way), the "art" of all of Trump's deals can be summed up in a single word: "renege":
Hyperproblems: New Ways of Doing and Communicating Science - Hyperproblems
Hyperproblems: Hyperproblems are scientific challenges whose scale, complexity, novelty and interdependence overwhelm traditional research models, requiring…
Structural Monism — Canon v1.0.0 | SUBIT-Theory | Nautilus Docs
This repository contains the official release of the Canon of Structural Monism (version 1.0.0). Structural Monism is an ontological doctrine that describes consciousness as a single field and all forms of existence as configurations of that field. The doctrine includes the SUBIT‑64 spectral model, the principle of vertical coherence, the mathematical framework, ethical implications, and canonical definitions.
Deleuze and Biosemiotics: Biological Emergence, Agency, and Subjectivity in Logic of Sense and A Thousand Plateaus
Many Minds: Seven metaphors for AI
If you wanted a petri dish for understanding metaphors—how they emerge and evolve and jostle with each other—it would be hard to do better than the world of AI. We talk about AI systems variously as coaches or co-pilots, little genies or alien intelligences. Some researchers claim that AIs "grow," that they're entering their phase of "adolescence." Critics deride AI products as slop and dismiss LLMs as a kind of autocomplete on steroids. What's behind these different characterizations? Which ones are accurate and which are unfair? And are our metaphors mostly colorful rhetoric or do they matter? Are they shaping how we understand, adopt, and ultimately regulate these new technologies? My guest today is . Melanie is a computer scientist and Professor at the Santa Fe Institute. She is the author of the book, and she writes a by the same name. This episode is a bit of companion to with Steve Flusberg. In that episode, Steve and I attempted a kind of crash course on metaphor and the human mind. Here, Melanie and I sit down for more of an extended case study: how metaphors are guiding, galvanizing, and maybe deceiving us in the contested realm of AI discourse. We unpack seven of the most widely used metaphors in this space. We consider how these metaphors are shaping not only our everyday understandings of AI, but also law and policy. We also talk about the metaphor and analogy capabilities of AI itself. Can these system reason abstractly in the way that humans can? Along the way, Melanie and I touch on: AI-generated poetry, anthropomorphism, the original sin of AI research, the myth of Narcissus, psychometric testing and its pitfalls, metaphors for AI that are a bit hard to spot, and the question of whether an AI has ever come up with a decent analogy for itself. Longtime fans of the show will know that we've had Melanie on the show . We invited her back, not only because she's thought about metaphor and analogy in AI discourse for decades, but because she's a voice of calm insight in an area that’s increasingly awash in hype and polemic. Longtime fans of the show may also note that we are now celebrating our 6th birthday at Many Minds. That's right, the show launched in February 2020. If you'd like to support us as we recognize this milestone, you can leave us a rating or a review, recommend us to a friend, or give us a shout out on social media. Your support is always appreciated. Without further ado, on to my conversation with Dr. Melanie Mitchell. Enjoy! Notes 3:30 – For an overview of Douglas Hofstadter’s work on analogy, see . 8:00 – Much of our discussion in this interview draws on Dr. Mitchell’s piece on the in Science magazine. 13:30 – For earlier discussions of anthropomorphism on the show, see our earlier episodes and . 16:00 – See for the original discussion of LLMs as “stochastic parrots.” 17:00 – See for the original discussion of ChatGPT as a “blurry jpeg.” 18:30 – See for the original discussion of LLMs as role players. 22:00 – See for one use of the “LLMs as crowds” metaphor. See also a discussion of this metaphor (and other metaphors for AI) . 25:00 – For one discussion of AI as a “cultural technology” by Alison Gopnik and colleagues, see . For a more recent discussion of the same metaphor by Henry Farrell, Alison Gopnik and others, see . 27:00 – For the podcast series on intelligence that Dr. Mitchell co-hosted for the Santa Fe Institute, see . 28:00 – See for an influential formulations of the idea that AI is an “alien intelligence.” 29:00 – For philosopher Shannon Vallor’s book about AI as “mirror,” see . 31:00 – For the recent study on users’ metaphors for AI systems, see . 33:00 – For more on the rise of social AI, see our earlier episode . 38:00 – For more on what AI researchers might learn from developmental and comparative psychologists, see Dr. Mitchell’s (summarizing here keynote at NeurIPs). 42:00 – For more on the ARC (Abstraction and Reasoning Corpus) and the research that Dr. Mitchell and colleagues have been doing with it, see and . 48:30 – For the study on humans' preference for AI-generated poetry, see . 50:30 – For Brigitte Nerlich’s documentation and discussion of various metaphors for AI (including AI’s metaphors for itself), see . Recommendations , by Shannon Vallor ‘,’ by Murray Shanahan (!) et al. ‘,’ by Henry Farrell et al. Many Minds is a project of the , which is made possible by a generous grant from the John Templeton Foundation to Indiana University. The show is hosted and produced by , with help from Assistant Producer and with creative support from DISI Directors Erica Cartmill and Jacob Foster. Our artwork is by . Subscribe to Many Minds on Apple, Stitcher, Spotify, Pocket Casts, Google Play, or wherever you listen to podcasts. You can also now subscribe to the Many Minds newsletter ! We welcome your comments, questions, and suggestions. Feel free to email us at: manymindspodcast@gmail.com. For updates about the show, visit or follow us on Bluesky ().
The Gargantuan Lie That is Collapsing The World’s Climate
Thinking we have time left to address climate change, or that “Net Zero by 2050” will save us, is driving us toward full social collapse in ways that become more obvious with every new broken temperature record.
This Is Your Brain on Metaphors
Our brains are wired to confuse the real and the symbolic. And the implications can be as serious as war and peace.
Language models are multiverse generators
"Actualities seem to float in a wider sea of possibilities from out of which they were chosen; and somewhere, indeterminism says, such possibilities exist, and form part of the truth."
Village-scale resilience
The end-of-the-world already happened, it's just not evenly distributed. But with every end is a new beginning.
Knowing When to Stop: The Art of Making a Loop Converge | Andreessen Horowitz
The systems that matter will not be the ones that can keep going. They all can.
- 1000-Word Philosophy: An Introductory Anthology
Welcome to 1000-Word Philosophy: An Introductory Anthology, an ever-growing set of essays on philosophical questions, theories, figures, and arguments.
