James Vincent on Twitter / X

Palantir’s manifesto: Technofascism in plain sight

Because I get asked a lot.

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 a 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 systems 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 formulation 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 her 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 ().

(Working Paper) Good Faith Design: Religion as a Resource for Technologists

Previous work has found a lack of research in HCI on religion, partly driven by misunderstandings of values and practices between religious and technical communities. To bridge this divide in an empirically rigorous way, we conducted an interview study with 48 religious people and/or experts from 11 faiths, and we document how religious people experience, understand, and imagine technologies. We show that religious stakeholders find non-neutral secular embeddings in technologies and the firms and people that design them, and how these manifest in unintended harms for religious and nonreligious users. Our findings reveal how users navigate technoreligious practices with religiously informed mental models and what they desire from technologies. Informed by this, we distill six design values -- wonder, humility, space, embodiedness, community, and eternity -- to guide technologists in considering and leveraging religion as an additional, valid sociocultural resource when designing for a holistic user. We further spell out directions for future research.

In Tech We Trust - Second Renaissance

The god-like authority of technology in the modern age – and what it means to set a wiser course

The Technological Republic: The Sunday Times bestseller from the great minds behind Palantir

The Sunday Times and #1 New York Times Bestseller‘The Technological Republic is far too important to ignore’ Times Literary SupplementSilicon Valley’s brightest minds once collaborated with governments to advance technologies, securing the West’s dominance on the global stage. But that relationship has corroded – with perilous repercussions for us all.Lifting the veil on tech giant Palantir and its broader political project, visionary co-founder and CEO Alexander C. Karp and his long-time deputy Nicholas W. Zamiska offer a searing critique of our collective culture of complacency. To regain geopolitical power and preserve our freedoms, we must tackle the world’s most pressing challenges – including the artificial intelligence arms race – together and head-on. Now is the time for the West to wake up.‘Bold and ambitious ... Essential reading’ Eric Schmidt‘Fascinating’ Financial Times‘A stirring manifesto’ Niall Ferguson‘Provocative and insightful’ Jamie Dimon

The Philosopher in the Valley

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspo...

Episode 5: Metaphors for AI, with Shannon Vallor

This week, Adam talks with Shannon Vallor, a philosopher of AI, about the metaphors we use to talk about AI and ourselves. They also dunk on libertarians and San Francisco billboards, and consider what kind of hope we can have for the future of technology.Messages:  • Support the show at patreon.com/DreamingAgainstTheMachine  • Follow us on Bluesky and Instagram  • Subscribe to the show wherever you get your podcasts!  • Check out other great podcasts from Multitude like Wow if TrueAbout the show:Dreaming Against the Machine is a podcast about envisioning a realistic and hopeful future. Each week, the show’s host, journalist and astrophysicist Dr. Adam Becker, will have an earnest (and entertaining!) conversation with a guest about possible futures, seen through the lenses of history, science, and culture. In a world where tech oligarchs and their power fantasies are driving visions of the future, Dreaming Against the Machine aims to take back the terms of the public conversation about what our world can and should be.

Abeba Birhane on Twitter / X

a classic case of “the human mind is afforded less complexity than is owed, and the computer is afforded more wisdom than is due.” Baria and Cross (2021)that "vibe" is at the core of what makes us human. it defies formalization and datafication https://t.co/AXELAqlYcq— Abeba Birhane (@Abebab) February 17, 2024

AI is not superhuman

What metaphor should drive the field of AI research?

Ali Alkhatib: On techno-optimism

I’ve got a longer draft in the works, but I don’t think that’s going to become a blog post, so I figure it might be useful to publish something here and solicit feedback, or just plant a flag in the ground that this was a thing I did. Last week Several weeks ago I gave a talk at Wayne State University titled “the uncanny pessimism of techno-optimism”. In this post I’m going to breeze through some of the stuff I talked about and give a sense of what’ll be coming. Eventually.

AI as Social Technology

Our debates about ‘AI’ grow out of 1990s science fiction. Back then, Vinge (1993) wrote essays and novels urging us to face up to the oncoming “Singularity”: a moment of rapid change that would fundamentally transform the human condition. On that day, AI would rapidly evolve from merely human-level intelligence, what some now call ‘artificial general intelligence’ (AGI), into something super-intelligent with its own interests and goals. Humanity would then either be casually eliminated by out-of-control machines, or humans would become as gods, with super-human servitors at our command.

Towards Critical Artificial Intelligence Literacies

Critical Artificial Intelligence Literacies (CAILs) is the collection of ways of thinking about and relating to so-called artificial intelligence (AI) that rejects dominant frames presented by the technology industry, by naive computationalism, and by dehumanising ideologies. Instead, CAILs centre human cognition and uphold the integrity of academic research and education. We present a selection of CAILs across research and education, which we analyse into the following non-orthogonal dimensions: conceptual clarity, critical thinking, decoloniality, respecting expertise, and slow science. Finally, we note how we see the present with and without a wider adoption of CAILs — a fundamental aspect is the assertion that AI cannot be allowed to drive change, even positive change, in education or research. Instead cultivation of and adherence to shared values and goals must guide us. Ultimately, CAILs minimally ask us to contemplate how we as academics can stop AI companies from wielding so much power.

The Techno-Optimist Manifesto | Andreessen Horowitz

We are told that technology is on the brink of ruining everything. But we are being lied to, and the truth is so much better. Marc Andreessen presents his techno-optimist vision for the future.