The Grammar That Never Outgrows Itself

On fractal composability, and why the best systems have very small hearts

Consider two systems that seem to have nothing in common. The first is a music composition language written in Rust. You describe a melody the way you might describe a sentence: pitch and duration, sequences of notes, simultaneous voices, modifiers that wrap a phrase and give it context. You write music like you write code, and then you render it to audio. The second is a protocol for governing shared resources across a peer-to-peer network. A makerspace in Montreal has a 3D printer sitting idle. A cooperative across town needs one. The protocol lets them find each other, negotiate terms, transfer custodianship, and record the whole interaction without any platform taking a cut or any central authority imposing the rules. Governance travels with the resource itself.

Different domains. Different problems. And yet, when you look at their internal structure, you find the same pattern at work.

The Distinction That Matters

Most systems are built by accumulation. You start with a core and keep adding parts. You add a module for this, a layer for that, a plugin for the other thing. Over time the system becomes capable, and also becomes impossible to hold in your head. The complexity compounds because each new part adds surface area.

A small class of systems works differently. They are built from a single primitive that can contain itself. You don’t add parts: you compose the primitive with itself, recursively, at any depth. The system grows not by accumulating components but by elaborating its own grammar.

The technical name for this property is fractal composability. A system is fractally composable when its combination operation is closed: any composition of parts produces something that can in turn be composed, without ever leaving the grammar. A modular system has parts you can swap. A fractal system has a primitive whose recursive self-application generates the whole space.

The difference matters because closed systems don’t develop seams. There is no boundary where “inside the grammar” ends and “outside the grammar” begins. You can always go deeper, wrap more context, compose at a higher level, and the system stays coherent throughout.  Read more... 

Our feedback on --> Cautious hope: Prospects and perils of communitarian governance in a Web3 environment

The goal of this post is to provide feedback on the Cautious hope: Prospects and perils of communitarian governance in a Web3 environment paper written by Nancy Ettlinger (Professor of Geography at The Ohio State University), in 2024. More importantly, I will nuance some statements about Sensorica and address some factually false ones. 

Before we begin, it is probably important to mention that, to my recollection, the author has never contacted any Sensorica affiliate before publishing this paper. I also don't know what sources of information Nancy used to learn about Sensorica, apart from one paper written by Pazaitis, A. (2020), provided as reference (Breaking the chains of open innovation: Post-blockchain and the case of Sensorica) and a link to a P2PFoundation wiki page on Sensorica. 
I discover the paper in 2026 and I sent my feedback to Nancy, which is the first version of this document. She got back to me the next day with her feedback to my feedback, which I integrated into this final version. 

Nondominium - A Coordination Layer for Parallel Infrastructure

Executive Summary

Critical infrastructure no longer behaves like a set of separate sectors. Energy, communications, finance, transport, manufacturing, supply chains, water, and public governance now operate as a tightly coupled system of systems. Failures in one layer increasingly propagate into the others, turning local disturbances into systemic shocks (Buldyrev et al., 2010; Helbing, 2013; CISA, 2025; DOE, 2023).

This is not a small market problem. Global supply chains alone account for over $10 trillion in annual intermediate goods trade, while infrastructure investment requirements exceed $3.3 trillion annually and rise toward $7 trillion when climate-adjusted needs are included (McKinsey, 2020; Woetzel et al., 2016; OECD, 2017). Yet recent evidence suggests that the binding constraint is often not capital itself, but coordination: the ability to govern interdependent assets, actors, and processes across fragmented institutional boundaries (World Bank, 2020).

From Digital Commons to Coordinated Commons: How Web3 Solves Open Source Fragmentation

The open-source movement is founded on the principle of sharing. Developers are granted the freedom to view, use, modify, and distribute code, a pool of shared knowledge known as digital commons. This freedom, however, carries an inherent paradox: the ease of copying code often leads to unwanted proliferation or project fragmentation, draining resources and creating chaos for users.

This post explores the governance, social, and economic failures inherent in traditional open-source development and presents a new paradigm: using Web3 primitives like blockchain, NFTs, and DAOs to enforce coordination, accountability, and sustainable development.

Complexity Rising: Are We Living Through the Collapse of Hierarchy?

In our previous post Are We Living Through Collapse? Complexity, Digital Technology, and the Future Beyond Capitalism we proposed complexity as the main cause of the socioeconomic turbulence that we experience today. Here we double down on this proposition by addressing Yaneer Bar-Yam’s paper Complexity Rising.

Collapse rarely looks like fire and ruins. Most often, it feels like drift, a slow unraveling of institutions, the loss of confidence in systems that once seemed unshakable, a spreading sense that no one is in control anymore. The question that haunts our time is not whether society will collapse, but whether it already is.

Over the last few decades, researchers across economics, ecology, and complexity science have been circling around the same idea: our world is entering a transition phase. The mechanisms that once allowed civilization to grow and adapt are breaking down. And yet, from the midst of that breakdown, a new kind of order is trying to emerge.

Epistemology of Organizations in an Age of Complexity: Firms, Open Networks, and AI

As the global economy grows more complex, dynamic, and uncertain, the epistemic fitness of organizational forms, how they sense, validate, decide, and learn becomes central to innovation capacity and long-term performance. This essay outlines a research program to develop a comparative framework for the epistemology of organizations. It contrasts centralized firms (pre- and post-digital) with open networks (peer-to-peer) and explores the transformative potential of hybrid AI–P2P epistemic models. Grounded in established literature from Coase and Williamson to Benkler and modern complexity theorists, this work situates its urgency in the context of rising systemic turbulence. The central argument is that in an era defined by uncertainty and complexity, the competitive advantage shifts from efficiencies of scale to efficiencies of learning, anticipation and coherent joint action, making organizational epistemology the critical determinant of future economic dominance.

Beyond Open Access: How Peer-to-Peer Principles are Building the Next Generation of Scientific Tools

 

The term "Open Science" is rapidly gaining traction in academic circles. For many, it signifies a move towards greater transparency and accessibility, primarily through open-access publications and the sharing of research data. This is a crucial and welcome development, breaking down paywalls and fostering a more collaborative scientific discourse. But what if this is just the tip of the iceberg? The principles underpinning open science are part of a much deeper societal transformation, one that is not only changing how we share knowledge but how we create, innovate, and produce?

This shift extends far beyond the university walls. We see it in the digital infrastructure that powers our world, with open-source software like Linux running the vast majority of web servers. We see it in our quest for knowledge, where collaborative endeavors like Wikipedia have built a comprehensive encyclopedia, contributed to by a global network of volunteers. We see it in media, finance, and manufacturing, where decentralized and collaborative models are challenging traditional, top-down institutions.