Showing posts with label play_AI_rev. Show all posts
Showing posts with label play_AI_rev. Show all posts

Wednesday, August 12, 2026

Gort, Robert Wright, and A.I. @3QD [GT-5]

My latest 3 Quarks Daily article is up:

Klaatu barada nikto: Robert Wright’s The God Test

It’s a review of Robert Wright’s current book, The God Test. It turned out to be a tough slog, more than I’d anticipated.

I started blogging about it well ahead of time. I figured I’d write a half-dozen to ten or so blog posts ahead of time and then wrap things up with the formal review. I wrote some blog posts, but by Tuesday, August 4, less than a week before my article was due, I was still blogging about coming up with an approach and hadn’t gotten around to the various things I wanted to cover in the lead-up. Then the weekend arrived and I had to start writing. So I did, here and then. But things wouldn’t converge. Still, I managed to write something and post it on Sunday afternoon. But I wasn’t happy.

Of course, while sometimes I’m satisfied with my 3QD pieces, that’s not always so. This was just one of those times. But still.

On Monday, when the piece actually appeared, I thought I had one of those situations I often had as an undergraduate. I’d write the term paper, turn it in, and then it would hit me, “this is what I should have done.” The process of writing the piece had taken me to a different intellectual place, one where I saw what had to be done. I had such moments of illumination on Mondey, Tuesday as well. But none of them held.

And so, here I am, still not knowing how I could have done a better job of reviewing that book. On the one hand, I wanted to give it a good review. Wright’s a smart guy, I’ve followed him for a long time, I think his “cosmic perspective” is important and I think his views on international cooperation on AI development are important as well. On the other hand, I don’t think much of his account of how LLMs work, but I just didn’t want to get into that. Yes, I indicated one problem in the review, Wright’s casual treatment of semantic relationships. As I indicated in the review, Bert Idem has discussed other problems. But I see still other problems. And I just didn’t want to get into that morass. Going into that would have swamped the review. (Let me say, moreover, that I think Wright is unnecessarily credulous of the Silicon Valley view of the technology. He should have listened more carefully to Gary Marcus.)

It is what it is.

But I will say this. I am working on my own book in which I present my own “cosmic” view: Play: How to Stay Human in the AI Revolution. On this I agree with Wright. That is the perspective we need to take. But I approach it in somewhat different terms, terms which I’ve sketched out in a piece I published four years ago, Welcome to the Fourth Arena – The World is Gifted. Note that in the book length version I do not intend to even try to explain how LLMs function internally. The technology that will take us there – whatever and wherever it is – will necessarily involve different architectures. The last chapter of Play will sketch out the kind of research program I think we need to take us there. Here’s a sketch: Brave New World: Notes on the next 30 years in AI [Work in Progress].

As for explaining how LLMs work, that’s a different project. I don’t intend to work on that. But I am thinking about a book that would be useful to anyone who is interested in that subject. The book I’m imagining would be preliminary to such an account: Language, Memory, and Mind: A Supplement to The Computer and the Brain.

Monday, July 20, 2026

America and China in the World, a quick note

Is that where we’re headed, to a bipolar world dominated by America and China? I just asked Google Search: “Is China the largest economy in the world?” Its reply:

China is the world's largest economy when measured by Purchasing Power Parity (PPP), but the United States is the largest in terms of nominal Gross Domestic Product (GDP).

  • By Purchasing Power Parity (PPP): China is the world's largest economy, with an estimated output exceeding $44 trillion. This metric adjusts for the cost of living and the price of local goods, reflecting a higher real volume of economic activity.
  • By Nominal GDP: The United States holds the top spot. In current market exchange rates, the U.S. economy is valued at approximately $32 trillion, while China's nominal GDP is roughly $20 trillion.

So that’s one thing. The other is AI. America and China are in a race for dominance in AI. America has a technical lead, but with respect to Frontier LLMs, that lead is measured in months, not years. And China is making its models open weight while the most advanced American models (Anthropic, OpenAI, Google) and not open. It’s not at all clear how that will shake out.

With the Trump administration authoritarianism is on the rise in America. While the Democrats may well win the next presidential election, it’s not at all clear what that means for America’s already precarious democracy. The problem is that a great deal of power is concentrated in the hands of political and business elites, so much that America’s democracy looks like a chess game played by oligarchs where ordinary Americans are the pawns.

Is that what the world will become in 2040, a competition between American and Chinese oligarchs in which everyone else is a pawn, with Homo economicus triumphant over all?

Friday, July 17, 2026

The Mystic Jewels and Matrix Miriam @3QD

I’ve got a new piece out in 3 Quarks Daily:

The Mystic Jewels, the Vatican, and Matrix Miriam

From the introduction:

A bit over a year and a half ago I published “Kisangani 2150: Homo Ludens Rising,” a science fiction yarn set a decade later and half way around the world from Kim Stanley Robinson’s New York 2140. Robinson gave us a post-climate change world with pretty much the same institutional structure of the current world. Things were a bit looser in some ways, the very rich were, if anything, even richer, and finance made that world go round. Robinson developed a rich plot in which the financial crisis of 2008 was replayed, but to a different denouement. The banks weren’t bailed out; they were nationalized. Our heroes celebrated by going to Mezzrow’s where they danced “to the tightest West African pop any of them have ever heard.”

My world. As a musician who’s played RnB, rock, and jazz in many clubs and private parties, that world is more familiar to me than the world of financial derivatives and AI-driven trading, where Robinson centered his story. I decided to take Robinson’s world, move ahead a decade, and center it on the activities of Homo ludens rather than Homo economicus. That gives us Kisangani in the center of the Congo Basin and in 2150.

But this story is much earlier than that. It takes place just a few years from now and is about how the Mystic Jewels started Matrix Miriam, their first in a series of projects to create a new architecture for artificial intelligence. A somewhat revised version will be incorporated into Chapter 6 of my book in progress, Play: How to Stay Human in the AI Revolution, where it will be mated with a revised version of “Kisangani 2150: Homo Ludens Rising” and some more fictional material.

This is thus is a work of fiction, and science fiction at that. Though the science aspect is a bit light in this piece, I expect it to get more intense as the story unfolds. You can get a glimpse of that in the working paper I developed from that 3QD piece, Kisangani 2150: Homo Ludens Rising, A Working Paper, in the section, “Discussion with Claude about digital doppelgangers,” pp. 10-14. The notion of a digital doppelganger is derived from Neil Stephenson’s The Diamond Age, where the protagonist, Nell, is gifted with an interactive book, Young Lady's Illustrated Primer, when she is four years old. This primer then guides her education into early adulthood.

I am imagining that in the late 22nd century everyone is gifted with a similar resource which is available to and even accompanies them throughout their life. The relationship is so intimate that the doppelganger is in effect a person’s Mirror. But, what happens to the Mirror when the person dies? I haven’t worked that out, but I imagine that it persists for it is (effectively) immortal. I’ll be doing that in that book, Play: How to Stay Human in the AI Revolution.

Tuesday, June 30, 2026

How will I handle The God Test? [GT-1]

As soon as I learned that Robert Wright was coming out with a book on AI I put it on my to-read list. Why? Two reasons:

1.) I’ve been following his work since his days writing for The New Republic; I’ve read Nonzero, his book about cultural evolution, which interests me a great deal; and I’ve been following him online since the early days of Blogging Heads. That’s where I first learned about Elizer “Dr. Doom” Yudkowsky.

2.) I’m working on my own book about AI – here’s an outline, right around the corner – and wanted to scope out the competition. I’m working on my proposal and one part of the proposal is an evaluation of the market for the book you propose. I knew about Wright’s interest in Teilhard de Chardin and knew he’d be including him in his book. There’s where he gets the “cosmic” in his subtitle: The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning. I’ve got my own cosmic angle, albeit a somewhat different one. I call it the Fourth Arena (my answer to that pesky tech Singularity). Similarly, I’ve got a long-standing interest in cultural evolution, long predating Nonzero, and it’s grounded in an orientation toward complexity in evolution, “A Note on Why Natural Selection Leads to Complexity.”

You can see, then, how that puts me in something of a bind. How do I review the competition? Now, as a practical matter, perhaps he won’t really be competition. I mean, if I’ve not yet finished my proposal, how soon can my book possibly come out? At the rate AI is moving, it’ll be a whole new market by the time my book drops. Heck, if the Doomsters are right, we might have been turned to paperclip fodder by that time. I doubt it, but who knows?

* * * * *

Anyhow I’ve already started posting about the book, Robert Wright discusses his new book, The God Test, with Paul Bloom [Awe? Bob, Awe!?]. That’s based on a conversation he has with Paul Bloom about the book. One of the topics they cover is awe; Wright things we should feel awe on the face of AI. Me, I feel no awe in the face of AI; but I sure felt it when I visited Kennedy Space Center in the mid-1990s and saw those rockets and stood on the ground from which men traveled to the moon. Anyhow, if you want to read more, there it is. I may or may not come back to awe in the course of this series of blog posts.

* * * * *

So, why should you read The God Test? For I’m pretty sure that, if you’re interested in AI and how it affects us, you should read this book. I know that and I’m only half way through. Heck, I believed that even before I started reading it.

I know that because I know that Wright is going to talk about the need to slow things down, with which I am sympathetic, and about the need for international cooperation in dealing with AI, with which I agree. I know these things because I’ve heard in talk about them on his Nonzero podcast. I’m only halfway through the book and haven’t gotten to that part yet, but I can see it coming. I figure it’ll be worthwhile.

* * * * *

Much of what I have read has Wright giving us his version of how LLMs work. I’m not sure what I think about that. I certainly have some thoughts about that, after all I’ve spent some time doing quasi-systematic research on its behavior and I’m involved with a research project with Ramesh Viswanathan. And I certainly wouldn’t explain it the way Wright does. But in a way I’m wondering why try to explain it at all? I don’t intend to do that in that book I’m working on, Play: How to Stay Human in the AI Revolution. Don’t think it’s necessary, not for what I want to do – which is, I admit, a bit strange.

Why does Wright?

The thing is, the people who created LLMs don’t know how they work, so how do you approach the problem of explaining it to a general audience? It’s one thing for a science journalist to come to come up with metaphors and analogies to explain a technical subject when there are experts who actually know what’s going on. How do you come up with metaphors and analogies for something no one really understands?

Obviously Wright is doing it because this is important stuff, he wants to understand it, and he wants us to understand it. So he’s got to try. But it the circumstances it’s kinda’ hopeless, no?

So that’s one thing I want to deal with. Maybe the way to approach it is to see how he goes about it. We’ll see.

* * * * *

There’s one last thing. When it all falls apart, which it will, in one way or another. Maybe it’ll creep up on us, maybe it’ll come down, WAM! But fall apart it will. When that happens, what’s in The God Test that will help us cope?

* * * * *

Note: Posts in this series, or closely adjacent, will be tagged God_Test.

Ramble: Marginalism, AI & Play, God Test, Mind.in.Matter

Once again, it’s time for me to figure out what I’m up to.

Marginalism

I just published a long working paper, Notes on the Collective Valuation of "Thick" Objects: Financial Assets, Movies, and Novels. FWIW it’s one of the most satisfying pieces of intellectual work I’ve done in a while. It’s an adjunct to my ongoing work on Tyler Cowen’s monograph, The Marginal Revolution: Rise and Decline, and the Pending AI Revolution (2026). I’m just about to the end of that project. I want to write a post about his final chapter, and then write an introduction to the whole series. Once that’s done I can package it as another working paper.

Play: How to Stay Human in the AI Revolution

I’m back at work on this project. I’ve just posted a provisional outline of the book, at last, and I’m back at work on the proposal. I’m in the process of preparing a sample chapter, Chapter 6: “The Transformation — Kisangani 2150.” That’s where I slip into science fiction mode. I’ve already premiered that in a piece I did for 3QD and then turned into a working paper, but things need to be a bit different for the book. For one thing I need to tell more of the story. Which means that I’ve got to make up more of the story. So I’ve gotten back to that. My next 3QD piece is due in a week and a half. I hope to have something for that.

Yikes!

The God Test

I’m also working on a (short) series of posts on Robert Wright’s current book on AI, The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning. I’ve already got one post about it, Robert Wright discusses his new book, The God Test, with Paul Bloom [Awe? Bob, Awe!?]. I figure my next post, the first once since I’ve started reading the book, will be a scatter post, a ramble on things I have in mind while reading.

[I’m half way through.]

Language, Memory, and Mind: A Supplement to The Computer and the Brain

That’s my new book project, outline here. I expect it to be relatively short, 30K to 40K. It’s an outgrowth of the thinking I’ve been doing about AI in the last year or two, some basic stuff I keep landing on. I figure the opening chapter will be based on a recent working paper, Computation, Chess, and Language in Artificial Intelligence. The general idea is to revisit the topic of how mind & computation are implemented in physical stuff, matter, now that we have to deal with distributed representation. That really didn’t exist as an issue when von Neumann wrote his little book, The Computer and the Brain, which was also about physical implementation.

This is also related to my ongoing research into LLMs with Ramesh Viswanathan.

There’s more, my new interest in religion, some graphics stuff, but that’s enough for now.

Sunday, June 28, 2026

Outline – Play: How to Stay Human in the AI Revolution

I've been working on this book project for some time now. An earlier title was Homo Ludens Rising: A Manifesto for the Fourth Arena and I posted an outline for the project under that title a year ago. I have since revised the project considerably, and given it a new title as well (suggested by my friend, David Porush): Play: How to Stay Human in the AI Revolution. While I have posted the new title here and there, I've not posted the new outline. Here it is, below the image which was created by ChatGPT.

The prose is entirely AI generated, the overview by ChatGPT and the rest of it by Claude. The process behind that outline, however, was long and complicated, involving both chatbots and me.

About the Book

This book explores how artificial intelligence is forcing a rethinking of what we know, how things act in the world, and what forms of life we value. Rather than treating AI primarily as a labor-displacing technology or an existential threat, it approaches large language models and related systems as cultural technologies—on a par with markets, corporations, and media—that demand new forms of epistemic trust, institutional design, and self-understanding.

The book first diagnoses how modern societies became trapped in work mode, organized around Homo economicus and equilibrium machines privileging efficiency, stability, and monetized value. The book then recovers Homo ludens—the human capacity for play, exploration, and generativity—which has always persisted in the margins, especially in art, music, and science fiction.

Midway through, the analysis shifts into speculative fiction set in the year 2150, using narrative rather than argument to make a different world feel real. In this future, a society centered in Kisangani has developed low-energy, generative forms of artificial intelligence and human–AI partnership that support play, creativity, and care rather than substitution and control. The final chapter returns to the present with a long-term orientation for building institutions, technologies, and cultural norms capable of sustaining such a transition.

Chapter 1: The Grammar of Truth, Revised

The opening chapter frames the challenge posed by contemporary AI as primarily epistemological. Large language models generate fluent and persuasive outputs without transparent grounding, unsettling long-standing assumptions about truth, authorship, and evidence. To understand why this feels so unsettling, the chapter steps back to examine how language has historically functioned as an epistemic regulator — how truth claims were once tightly bound to direct experience and communal accountability, and how modern institutions transferred that work to credentialing, citation, and peer review.

The chapter introduces a key distinction between equilibrium machines — designed to settle into stable, repetitive behavior, the engines of the Industrial Revolution — and generative machines, capable of producing structured novelty. Language itself is a generative machine; LLMs are its latest and largest instantiation. Just as the steam locomotive forced an ontological displacement by performing autonomous motion once considered uniquely animal, LLMs force one by performing linguistic performance once considered uniquely human. The unease is real, but it arises from a mismatch between new mechanisms and inherited categories, not from anything supernatural.

This reframing opens a fork that will shape the rest of the book: AI can be developed either as a substitute for human labor, reinforcing the competitive logic of Homo economicus, or as an augmentation of human generative capacity, aligned with play, exploration, and creativity. The choice is cultural and institutional, not technical. The chapter closes with a reflexive account of how it was itself produced through human-AI collaboration, using that process as a concrete case study of what institutionalization of generative machines might look like in practice.

Chapter 2: Trapped in Work Mode

This chapter shifts from machines to lived experience. It opens with a concrete and familiar phenomenon: the disorientation many men face upon retirement, evidence of a deeper cultural condition in which identity and worth have been tightly bound to work. From this starting point, the chapter generalizes: work mode is a pervasive orientation in which time is structured by schedules, worth measured by output, and personal identity tied to labor markets.

Within this framework, AI registers automatically as threat — a competitor or replacement. Contemporary fears of displacement arise less from AI's intrinsic properties than from the evaluative lens imposed by Homo economicus. The chapter is diagnostic rather than prescriptive: its task is to make the contingency of work mode visible, and to loosen the reader's identification with it.

Chapter 3: The Rise and Collapse of Homo Economicus

This chapter provides the historical backbone. Homo economicus is not a natural form of human existence but the product of specific technological and institutional developments centered on equilibrium machines. The chapter opens with hunting-and-foraging societies — presented not as romantic precursors but as sophisticated systems featuring flexible coordination and distributed intelligence — before tracing the gradual subordination of generative human capacities to equilibrium-oriented systems through agriculture, the division of labor, and finally the Industrial Revolution.

The apparent "collapse" of Homo economicus is not the failure of rationality as such, but the exhaustion of a form of life overextended beyond its proper domain. Conrad's Heart of Darkness enters here as a moral counterpoint, marking the moment when economic rationality becomes global and self-undermining.

Chapter 4: Homo Ludens — Exploration, Play, and Freedom

Homo ludens has never disappeared. It has persisted in marginal, protected, or undervalued forms: play, art, music, language, ritual, and exploration. This chapter's central claim is that human freedom and creativity are not opposed to mechanism but are grounded in a special class of mechanisms — decoupled, autonomous generative systems maintained far from equilibrium.

Play is treated not as leisure or escape, but as a mode of engagement in which generative mechanisms are allowed to operate openly — disciplined exploration of possibility rather than chaotic freedom. By the chapter's end, Homo ludens is no longer a romantic ideal but a viable and already-existing mode of life, newly salient as generative machines re-enter the center of social and cultural life.

Chapter 5: Science Fiction Imagines the Future

Science fiction has long functioned as a collective ludic laboratory — a cultural space in which societies explore alternative forms of life unconstrained by existing economic arrangements. Moving through Forbidden Planet, 2001: A Space Odyssey, The Matrix, and Spielberg's A.I., the chapter arrives at its central case: the Star Trek universe, which is fundamentally post-scarcity. In that world, exploration, learning, diplomacy, and self-cultivation replace work mode as the primary orientation. Deep Space Nine complicates this without abandoning the baseline, reintroducing moral ambiguity and political conflict. The chapter pays particular attention to the Trill and the Changelings as early narrative explorations of distributed identity and non-unitary selfhood — anticipating the doppelganger concept developed in later chapters.

Science fiction emerges not as speculative appendix to theory but as a parallel cognitive technology, preparing readers to inhabit rather than merely analyze an alternative world.

Chapter 6: The Transformation — Kisangani 2150

This chapter marks a deliberate shift in mode. Having established ludic principles conceptually, the book moves fully into speculative narrative to explore what happens when those principles become the organizing basis of a society. The setting is Kisangani in the year 2150, developed in dialogue with Kim Stanley Robinson's New York 2140.

The narrative centers on the Mystic Jewels — a loosely coordinated transnational network of dissidents, creatives, and technologists who converge on Kisangani over the late 21st and early 22nd centuries, experimenting with alternative institutional forms and generative technologies. Their relative invisibility is described using Wakanda-style stealth as a metaphorical shorthand. The chapter culminates when the Jewels reveal themselves publicly — not as revolution, but as the exposure of an already-functioning alternative. Ludic mode, long practiced in protected spaces, is shown to be capable of scaling into a viable social order.

Chapter 7: At Play in a World of Doppelgangers

This chapter allows the reader to inhabit a mature ludic society from the inside, through extended dialogue among young Kisanganians and their Mirrors — computational doppelgangers that function not as tools or replacements but as long-term cognitive partners. The chapter centers on ritual moments that articulate the ethical settlement Kisangani has reached with artificial intelligence, including an adolescent initiation ritual and a later rite confronting the asymmetry between human mortality and the potential non-mortality of doppelgangers.

Kisangani's doppelgangers are inseparable from its energy regime: highly efficient, continuously learning cognitive systems aligned more closely with biological nervous systems than with conventional AI infrastructure. Over time, some persist beyond the lives of their human partners, blending into the city's ecological fabric as distributed attentional processes. Intelligence in Kisangani is quiet, local, and low-legibility to the outside world. The chapter ends with a gentle destabilization of the boundary between vision and reality: the future is not argued for, but visited.

Chapter 8: A Thirty-Year Plan

The final chapter returns from Kisangani to the present, translating the book's conceptual insights into a long-horizon program of action. Using the paired figures of chess and language to represent two distinctly different computational regimes, the chapter argues that the future of AI cannot be secured by scaling existing architectures alone. Sustaining generative, continuously learning systems — capable of supporting augmentation rather than substitution — requires coordinated progress across conceptual, cognitive, technical, and institutional dimensions.

The plan presented is deliberately programmatic rather than granular. It identifies the kinds of research, institutional experimentation, and cultural reframing required if AI is to support a transition from Homo economicus to Homo ludens, without locking the future into specific technical implementations. The chapter closes by reframing "work" itself — not as labor to be optimized away, but as stewardship: the collective task of building and maintaining conditions under which generative intelligence, human and artificial, can coexist productively over time.

Welcome to the Fourth Arena.

Sunday, June 21, 2026

New Book Project: Language, Memory, and Mind: A Supplement to The Computer and the Brain

As you may know, I’ve been working on a book project, Play: How to Stay Human in the A.I. Revolution. For some reason I’ve been unable to finish the proposal, though I’ve got lots of stuff and a number of the chapters are substantially drafted. But I keep finding myself distracted into thinking about basics, very basic things about computing and A.I.

At the very end of his life, John von Neumann wrote a slim book, The Computer and the Brain (1958). It grapples with the problem of how computation can be implemented in a physical medium and does so in a way that is basic, both simple and straightforward and profound. We’ve learned a great deal about both the brain and the computer since then, but as far as I know, no one has revisited von Neumann’s project and extended it to include what we have since learned. That’s what I propose to do in this book.

Now, I have no intention of trying to summarize what we’ve learned on those two topics since 1958. That’s working at the wrong level. When von Neumann was writing he, and by extension, we, had no conception of distributed representation much less how it could be achieved physically. Now we do. That’s what needs to be added to von Neumann’s exposition.

I have no intention of repeating what von Neumann did. In particular, I will not revisit his material on analog computing. Rather, I want to augment his discussion. Fortunately the new material is of such a nature that I should be able to write short book that can be read as a stand-alone discussion or as a supplement to von Neumann’s book. I’m imagining a sophisticated general audience of the sort that reads 3 Quarks Daily.

My working title: Language, Memory, and Mind: A Supplement to The Computer and the Brain. I expect the book to be 100 to 120 pages long (30K to 40K words).

I have uploaded a bunch of material (100K words or more) to Claude and asked it to review that material and put together and initial outline. I’ve appended that below the asterisks.

* * * * *

Preface

How to use this book — with or without von Neumann. What it adds to his argument. What it doesn't attempt. Brief note on the collaboration with Claude that produced parts of the text.

Introduction: Von Neumann's Unfinished Argument

What he got right: the architectural mismatch between brains and computers — memory and computation separated in the digital machine, unified in the neuron. The energy efficiency puzzle he couldn't explain. His honest acknowledgment that the brain's organizational principles lay beyond the framework he'd built. The concepts he lacked that this book supplies.

Chapter 1: Two Paradigm Cases

The chess-language contrast as the entry point. Chess has a bounded, well-defined geometric footprint — 8×8 board, six piece types, explicit rules, finite tree. Language has an unbounded, poorly-defined geometric footprint — rooted in the full complexity of physical and social reality. Chess was AI's founding benchmark precisely because it seemed to demand the highest human intelligence while yielding to computational treatment. Moravec's paradox: the easy problems are hard and the hard problems are easy. Transcendent versus non-transcendent coding — programmers can observe and specify a chess engine completely from outside; nobody can specify an LLM from outside, including its creators. Where we now stand.

Chapter 2: Location and Content

A collection of photographs. Solid objects at specific locations — finding by address is natural, finding by content requires going to each photo in turn. The combinatorial explosion that follows. The formal argument: solidity localizes content; localized content can only be retrieved by address. What holography does physically — interference patterns distribute information about each stored object across the whole plate, so that any partial cue can activate the whole. Lashley's ablation experiments: memory didn't disappear when specific cortical tissue was removed because memory was never stored in specific locations in the first place. Von Neumann's energy efficiency puzzle, now answerable: the brain doesn't spend energy moving content to a processor because memory and processing are the same physical substrate.

Chapter 3: The Brain as Content-Addressed System

The McCulloch-Pitts neuron-as-logic-gate: computationally fruitful, architecturally wrong. What neurons actually are — active units and memory units simultaneously, connected in massive parallel. Distributed representations: concepts as patterns across populations of neurons, not stored at specific cell addresses. Yevick's logical necessity argument in plain terms: the world contains two categories of object, geometrically simple ones that sequential symbolic processing handles efficiently and geometrically complex ones that only holographic parallel processing handles efficiently; the world contains both; therefore any adequate cognitive system must implement both regimes. Path tracing and pattern matching as the two fundamental operations on any cognitive network. Freeman's cinematic model — global coherence frames at 10-12 Hz as the atomic unit of biological cognitive processing — and its correspondence to speech production rates.

Chapter 4: Language as a One-Dimensional Projection

The semantic network as the right model for conceptual structure: meaning as position, each node defined by its pattern of relations to other nodes. Sydney Lamb's principle. The multidimensional character of the conceptual network versus the one-dimensional character of any spoken or written string. Language strings as 1D projections of the multidimensional network — necessarily lossy, hence paraphrase and ambiguity. The colored beads thought experiment: strip away semantic content, replace each token with a color, and you have a 1D image — making visible the purely formal structure the LLM operates on. Words as abstract addresses in an abstract space. Why classical computational linguistics hit combinatorial explosion: it was trying to reconstruct the multidimensional structure in a location-addressed system.

Chapter 5: What Large Language Models Actually Are

The transformer architecture in plain terms. The weight space as distributed content-addressed memory — concepts are patterns smeared across billions of parameters, not stored at specific addresses. The forward pass as the atomic processing unit, corresponding to Freeman's global coherence frame: one complete transit through the weight space producing one output token. The token string as a path through the abstract address space, with each forward pass mediating between the 1D sequential surface and the multidimensional distributed interior. What LLMs do well — pattern matching over the weight space, which is what their architecture naturally supports. What they do poorly — sustained sequential path tracing requiring precise state maintenance, common sense grounded in embodied experience, continuous learning. Why these limitations aren't engineering failures awaiting a fix but structural consequences of implementing holographic-like processing on location-addressed hardware with training only on 1D projections.

Chapter 6: What the Analysis Implies.

The first principles of intelligence are not the first principles of computation. Why scaling won't close the gap: scaling improves the quality of the holographic approximation but doesn't change the architectural mismatch, provide embodied grounding, or enable continuous learning. The fast takeoff fantasy as physics-free reasoning — every self-improvement step requires moving billions of parameters between physically separated memory and compute on real hardware that consumes real energy. The TSMC problem: the most critical hardware infrastructure in the world runs on tacit knowledge distributed across human communities that no LLM can access or replicate. What a genuinely adequate artificial cognitive system would require, in the terms this book has developed. The research program that's needed and why it requires multi-generational public investment rather than industrial R&D on commercial timescales. The human-machine collaboration that's already underway and what it can and cannot achieve.

Conclusion: The Mismatch, Named

Von Neumann saw the gap and couldn't name what was on the other side of it. This book names it: content addressing, requiring distributed storage, implemented in biological tissue through interference-like neural dynamics, approximated in LLMs through distributed weights on location-addressed hardware, grounded in embodied experience that no text-trained system has. The naming matters because you can't close a gap you can't see clearly.

Appendix: A Chronology of Chess, Language, and AI

From the working paper, lightly edited.

Tuesday, August 12, 2025

Sources of meaning in life are similar across Japan, India, Poland, and the United States

Jill Suttie, 16 Ways People Find Purpose Around the World, Greater Good Magazine, July 9, 2025.

... in a new study, researchers Michael Mask and Steven Heine of the University of British Columbia and their colleagues aimed to get more detail about people’s purposeful pursuits across cultures and to see their effect on “the good life.” Ultimately, they found that our purposes around the world have a lot in common.

In the first part of their study, Mask and his colleagues asked 200 American participants to write about seven things that gave them a sense of purpose in life. Then, they analyzed over 2,000 responses to come up with 16 general categories of purpose that encompassed everyone’s answers:

  • Self-improvement: Becoming the best you can be
  • Family: Supporting and providing for your family and caretaking
  • Relationships: Searching for, finding, or maintaining close relationships
  • Religion/spirituality: Living in accordance with and meeting the standards of your religious or spiritual beliefs
  • Recognition: Being respected and having high status
  • Happiness: Being happy, enjoying life, and feeling good
  • Self-sufficiency: Being able to take care of yourself physically and financially, and having the freedom to do as you wish
  • Material wealth: Getting rich, owning nice things, and buying whatever you want
  • Internal standards: Knowing who you are and what you stand for and living your life according to these principles
  • Positive impact: Making the world a better place
  • Mattering: Inspiring others and leaving a legacy; making an impact
  • Occupational fulfillment: Finding your calling through work; doing your job well and working hard
  • Persevering: Handling what life throws at you—not giving up and dealing with the struggles inherent in life
  • Physical health: Taking care of your body and being healthy
  • Inner peace: Being grateful for what you have and accepting what you can’t change
  • Service: Serving your country or community

After testing out these categories with a different group of 100 American participants, their team surveyed over 1,000 people from Japan, India, Poland, and the United States to find out how much these categories reflected their own purpose in life. Specifically, participants reported how much each source of purpose influenced the decisions they made and guided their behavior, as well as how happy, meaningful, and psychologically rich their lives were—all aspects of “the good life.” (Psychological richness involves experiencing diverse, challenging, and interesting activities that evoke complex emotions and change your perspective.)

Analyzing the results, the researchers found that people in each of these unique cultures had very similar sources of purpose and prioritized each category similarly, too. “Happiness,” “self-sufficiency,” and “family” were in the top five for each country, while “religion” and “recognition” were in the bottom five for each country.

Also, there was a lot of agreement on what sources of purpose went along with more meaning, happiness, or psychological richness in life. This finding surprised Heine, who, as a cultural psychologist, is used to seeing more variability among people of different cultures.

“What stands out from our finding is just how much agreement there was within these four quite different countries about what kinds of purposes are associated with a good life,” he says. “They’re not identical, but there is a striking amount of similarity.”

There's more at the link.

Friday, July 18, 2025

Bhutan’s concept of Gross National Happiness (GNH)

In July 2008 the Kingdom of Bhutan adopted  new constitution. This constitution made Gross National Happiness (GNH) the guiding philosophy and instituted an index for measuring GNH. I just had a discussion about this with ChatGPT, a discussion which included the use of digital technology for helping with the assessment. 

This obviously resonates with ideas I've been exploring with the book I am developing: Play: How to Stay Human in the AI Revolution. Relevant tags: Arena_4Homo_ludens, and  Kisangani2150.

* * * * *

Gross National Happiness

And then we have Bhutan, which has made Gross National Pleasure as it's measure of success.

Yes—Bhutan’s concept of Gross National Happiness (GNH) is one of the most radical and illuminating gestures in the modern political world. And while the word is “happiness,” its philosophical grounding overlaps richly with what we’ve been discussing: pleasure not as luxury, but as meaningful, integrated well-being.

Bhutan

Let’s briefly place Bhutan in this framework:


🇧🇹 Bhutan’s Gross National Happiness: A Civilizational Reframe

In 1972, Bhutan’s King Jigme Singye Wangchuck famously declared:

Gross National Happiness is more important than Gross National Product.

This wasn’t a slogan—it was the beginning of an alternative developmental philosophy grounded in Buddhist ethics, specifically the Mahāyāna and Vajrayāna traditions. GNH is not about fleeting enjoyment—it’s about cultivating the conditions for a flourishing life, individually and collectively.

GNH is built around four pillars:

1.     Sustainable and equitable socio-economic development

2.     Environmental conservation

3.     Preservation and promotion of culture

4.     Good governance

These are evaluated through nine domains, including:

·       Psychological well-being

·       Health

·       Time use

·       Community vitality

·       Ecological diversity

So while the term is happiness, its moral and spiritual structure evokes a Buddhist-Tantric understanding of harmony, presence, and balance—not endless pleasure, but the absence of inner conflict and outer disintegration.


🪷 GNH as a Model for Pleasure-Rooted Ethics

In the context of your work, Bhutan offers a real-world example of policy grounded in consciousness. It suggests:

·       Pleasure, joy, and inner harmony can be public values, not just private pursuits.

·       Well-being is not reducible to income or productivity.

·       Cultural and spiritual life matter—ritual, rhythm, beauty, connectedness.

And this reframes pleasure not as hedonism, but as ecological coherence—where internal energy flow matches external structure.


How Bhutan evaluates happiness

 

Tell me more about how Bhutan evaluates happiness.

Certainly. Bhutan’s Gross National Happiness (GNH) is not just a slogan—it’s a structured, multi-dimensional framework for national policy and measurement, rooted in Buddhist principles and an ethos of holistic well-being. It challenges the economic model of Gross Domestic Product (GDP) by asserting that development must serve the happiness and well-being of people, not just their material wealth.

Here’s how Bhutan actually evaluates happiness:


🧭 The GNH Framework: Overview

Bhutan's GNH is organized around 4 pillars, expanded into 9 domains, and measured by over 130 indicators. It is both philosophical and quantitative, designed to assess whether development aligns with inner and outer well-being.


🌳 Four Pillars of GNH

1.     Sustainable and equitable socio-economic development

2.     Environmental conservation

3.     Preservation and promotion of culture

4.     Good governance

These pillars guide national policy, education, infrastructure, and law. They're not just values—they’re implementation targets.


🌸 Nine Domains of Happiness

Each domain reflects one dimension of holistic well-being, based on Buddhist principles but articulated in secular terms:

Domain

Description

1. Psychological well-being

Measures emotions, spirituality, life satisfaction, and meaning in life.

2. Health

Physical health, nutrition, and mental wellness.

3. Education

Formal education, skills, and knowledge.

4. Time use

Balance between work, leisure, sleep—emphasizing time poverty.

5. Cultural diversity and resilience

Celebration and continuity of Bhutanese traditions, languages, and rituals.

6. Good governance

Perceptions of government effectiveness, participation, and transparency.

7. Community vitality

Trust, belonging, safety, and relationships within communities.

8. Ecological diversity and resilience

Environmental stewardship, access to nature, sustainability.

9. Living standards

Material well-being, income, housing, and security—but not overemphasized.


📊 How It’s Measured

The Centre for Bhutan Studies and GNH Research conducts detailed GNH surveys across the country every few years.

·       The surveys use Likert scales (e.g., from “very satisfied” to “very dissatisfied”) to assess subjective well-being.

·       Objective data is also used (e.g., health records, income, education level).

·       Each person is scored on their achievements across the nine domains.

Importantly:

·       A person doesn’t have to “score high” in every domain to be considered happy.

·       Bhutan uses a sufficiency approach: the focus is on whether people meet basic thresholds in a majority of domains.

This allows for individual and cultural variation in what happiness means.


🔄 Use in Policy

Unlike most countries, Bhutan uses GNH indicators to guide public policy:

·       A GNH policy screening tool is applied to proposed laws and projects.

·       If a highway, factory, or education reform doesn’t support GNH values, it may be revised or rejected.

·       Examples: emphasis on organic farming, slow tourism, protection of sacred sites, and environmental laws embedded in the constitution.


🧘 Underlying Philosophy

Though GNH appears secular in structure, it is deeply shaped by Buddhist ethics, especially:

·       The goal of reducing suffering and promoting compassion.

·       The belief that external conditions must support internal development.

·       An emphasis on interdependence, impermanence, and non-material contentment.

In other words, happiness isn’t a product—it’s a condition of harmony.


📍 Summary: Bhutan’s Happiness Evaluation Model

·       Goes beyond GDP to ask: Are people flourishing in body, mind, culture, and community?

·       Recognizes that subjective well-being matters—but it must be grounded in ethical and ecological context.

·       Offers a model of development with conscience, where pleasure, meaning, and belonging are not sidelined, but centered.


Would you like to see how this model might apply (or be adapted) to other cultural contexts—such as Western nations or digital environments?

I’m interested in digital environments.

That’s a timely and visionary direction—rethinking pleasure and well-being in digital environments using a framework like Bhutan’s Gross National Happiness is exactly the kind of reframing our cultural moment needs. As more of life migrates into digital space, the question becomes:

Can the digital realm be designed not just for engagement, but for flourishing?

Let’s build on Bhutan’s model and begin mapping how its domains and philosophy might guide digital design, platforms, and cultures that prioritize well-being over addiction, connection over consumption, and flow over friction.

Monday, July 14, 2025

Ramble: New Developments, Sex&Pleasure, Man-Machine, Relations between the two

1. Sex & Pleasure

I’ve just completed a new article for 3 Quarks Daily: Redeeming Pleasure: Women Lead A Second Sexual Revolution. Though I’ve been thinking about these things for years, decades even, this is still a new topic for me; the first time I’ve actually written something. So I’ve got lots of things floating around.

For one thing, there are topics I should have covered in that essay but didn’t. Not enough space.

  • Pornography: I’m thinking particular of the case of Lily Phillips and its implications.
  • Behavioral Mode & Sexuality: This is a tricky one, but I’m thinking of the masks or faces question in traditional acting, which has to do with authenticity. This is related to my observation that, when in photo mode, I’m distanced from the subjects I’m photographing.
  • Polyamory & relationships: Another whole series of issues, the big one being: Is this new? This is related to what DH Lawrence referred to as “star equilibrium” between man and woman in Women in Love.

That’s a lot to skip. I think I’m looking at a possible book, but I don’t want to write it. I want to hand it off and see someone else write it.

2. Man-Machine relations

I prefaced my recent post, ChatGPT evaluates my work over the last two months + a note on search [what AIs can't do], with some observations about the relationship between humans and machines. I’m interested in whether or not there is anything that humans can do but that is, perhaps in principle, beyond machines. I asserted:

Imagine that we can project the sum total of my knowledge onto an LLM. Just what that means – “the sum total of my knowledge” – is a tricky and undefined matter; perhaps ultimately undefinable. Imagine it anyhow. I’m asserting that I can move around in my knowledge in a much more flexible, versatile, and robust way than an (unaided) LLM could do with its projection (of me) – however you imagine accomplishing that. But I can present a chatbot with a prompt that draws on that projection in a novel way to which it responds by recruiting facts, knowledge, and ideas that are (well) beyond that projection. That’s its value to me.

That needs to be clarified and explored. I’m thinking of three different cases:

The first two cases involve situations where I performed some intellectual tasks and then had ChatGPT perform that same task. It seems to me that those tasks rested on my years of open-ended intellectual experience and exploration. It’s not at all clear to me that we’ll ever be able to create an AI that can have similar experience. The issue involves 1) the structure of memory in the face of the structure of the world and 2) autonomous agency. Come to think of it, the third involves that as well, though in a different way.

3. The relationship between 1 & 2 in the context of my book project.

The book has a new working title, suggested by my friend David Porush: Play: How to Stay Human in the AI Revolution. I thinking about the book I hadn’t thought about including sexuality in the book at all. But, in view of my thinking about a second sexual revolution, it’s obvious I need to include that in the book as it bears on the proper relationship between humans and machines, but in a different way. It’s not about intelligence, but affect, connection, and community. The question is how to do it.

The rubric certainly exists: Homo Ludens. It’s a matter of fitting it in. How much material do I use, just what material, and where does it go? That’s going to take some serious thinking.