Humans On The Loop: Wisdom for an Age of Magical Technologies podcast

May 26, 2026 Games & Metrics: Agency as Art & Artifice with C. Thi Nguyen

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About This Episode

This week’s guest is C. Thi Nguyen (Website | Wikipedia | X), associate professor of philosophy at the University of Utah and a specialist in the philosophy of games, the philosophy of technology, and the theory of value. In our first conversation on Future Fossils, we explored his writing on games as an art form in which agency is the medium. His new book, The Score: How to Stop Playing Somebody Else’s Game, takes that logic further and reveals the games that bind society together with institutional metrics — one of the most powerful, pervasive, and invisible technologies of all time.

Thi’s thesis hinges on the observation that a metric is never just a number. It’s a value judgment dressed up in the costume of objectivity, a down-sampling of our richly multidimensional world into proxies that can travel efficiently between strangers. And with every subsequent compression of meaning into portable, scalable, decontextualized form, our metrics progressively displace place itself — the nuance of our singular, non-fungible lives — and define what we can even aspire to be.

Thi calls this kind of cognitive enclosure “value capture”: when an institution uses metrics to coordinate across distance and difference, it engineers a context-invariant kernel that can travel between strangers without requiring shared background, history, or care. The power of these abstractions is real. So is their violence.

We can use metrics instrumentally, holding them lightly as useful fictions. But more often than not we forget things like GPA, GDP, or KPIs started life as somebody else’s choices — that someone, somewhere, decided what to count and what to ignore — and we begin to inhabit the metric as if it were reality itself: optimizing our lives, desires, and identities for a scoring system we didn’t author and may never have consciously accepted.

Games show us another way. By Thi’s account, games are a medium for the transmission of different kinds of agency, a technology for practicing the very awareness that metrics erode: that metrics are cultural constructs, and we still have some choice in what to value. When you’re playing, you know you’re playing. The magic circle of the game space is a low-stakes laboratory for inhabiting a different set of values, and therefore different selves. Therein lies a whole philosophy of freedom, and in a moment when the infrastructure of meaning-making is being rebuilt from the ground up, recovering our capacity to see the game of modern life as a game may be the most important skill we have.

But there’s a twist that takes us beyond the scope of Thi’s book and into the question that’s been keeping me up at night for the last two years. With AI, we’ve tunneled so far into abstraction that we may have come out the other side. Large language models now allow us to translate between different perspectives, to ground insights from our aggregate intelligence in personal detail. If you’ve ever used a chatbot to explain physics to you as a specific human being, based on your own data vault, and in the style of a specific author, you know what I mean. Socrates’ critique of written language in Phaedrus — that it couldn’t “read the room” or know its audience — feels somewhat less relevant in an age when the generation of text is powered by systems with such a high-dimensional and granular view of things that we are no longer bound to one canonical version of anything. Is AI the apotheosis of our enclosure by institutional metrics, or is it the medium through which we are finally able to take a post-ironic stance on the constraints of modern life?

It’s starting to look like a world in which everything is a metric and everything is a game. And just maybe, that means we can renegotiate these tradeoffs…as long as we don’t take ourselves too seriously.

And with this, we circle back around to the core question of this project: As we approach the horizon where anything is possible, what should be? Who do you want to be, and what games will make you that person?

Chapters

00:00 Episode Teaser03:50 Intro Monologue09:11 Meet C. Thi Nguyen17:43 Value Capture Explained23:48 The Gap between Measured & Valued35:29 Recognition vs. Perception42:48 Games vs. Institutions46:43 Is Meaning Control an Interface Problem?49:09 How Rules Became Algorithms54:17 Fungibility & Monocropping56:38 Is Coordination at Scale a Red Herring?01:03:14 Art Provides Hope01:16:17 AI Futures & Values01:32:27 Thanks & Announcements

Mentioned Resources

Are humans destined to evolve into crabs? by Michael Garfield

Coarse-graining as a downward causation mechanism by Jessica Flack

The Computer as a Communication Device by J.C.R. Licklider and Robert Taylor

Paul Smaldino & C. Thi Nguyen on Problems with Value Metrics & Governance at Scale (EPE 06) for Complexity Podcast

The natural selection of bad science by Paul Smaldino & Richard McElreath

Slowed canonical progress in large fields of science by Johan Chu & James Evans

Jargon is a Moat by Second Voice

Trust in Numbers by Theodore Porter

Rules by Lorraine Dastin

Seeing Like A State by James C. Scott

The Power of Maps by Dennis Woods