The question I keep returning to is how large distributed autonomous systems — just like civilizations — collaborate. It’s a problem I’ve been working on for three decades, building infrastructure at scale, from the cluster systems that trained early transformer architectures at Google, to the Internet of Agents and the entanglement-based Quantum Internet at Outshift by Cisco. The rest of my time is split between photographing the world, reading Durant (it’s a tome), and awkwardly generating noises from my guitars.
Distributed Superintelligence
Internet of Cognition // link
70,000 years ago, the invention of language ushered in collective intelligence for humans, allowing us to share intent, share knowledge, reason together. We are at a similar inflection point for multi-agent systems. Agents today can connect with each other, but they aren’t able to think together, yet. They cannot share intent, coordinate to solve problems or create emergent behaviors. The Internet of Cognition is the platform that allows agents to think together.
Internet of Agents // link
The current state of the art, allowing agents to connect to each other: discover, get access, connect, across vendors, frameworks, clouds. Co-founded AGNTCY — now at the Linux Foundation with 80+ partners including Google, Dell, Oracle and RedHat, and formative partners for the A2A project and Agentic AI Foundation in LF.
Quantum Computing
Quantum Internet · Security · Networks // link
Distributed quantum computing via networked QPUs, quantum-safe cryptography, quantum data center interconnects, and post-quantum security. Overseeing Cisco’s entanglement chip (200M photons/sec) and Santa Monica quantum lab
Coherent Cognition / Substack
Essays on interesting problems in scaling-out infrastructure for non-deterministic systems // LINK
The Internet moves bits, which can be copied freely. Quantum networks teleport state between nodes by consuming entangled photon pairs – a primitive that classical protocols were never designed to handle.
Class of 2026 is joining a multi-agent-human team. Their value is in knowing what to build, exercising judgment, convincing others, and owning the outcome. Four things our curricula were not designed for.
Humans: 100%. Frontier models: below 1%. ARC-AGI-3 shows where individual silicon intelligence sits on the vertical axis, and why that makes the horizontal axis — shared context, coordination, collective reasoning — more urgent.
AI operates inside the boundary of recorded human knowledge. Quantum simulates physical law directly. A foundational difference, and the problems and approaches that align to each.
ON THE EAR
🎼 Under Darkening Skies, Monolink, 2020 Embassy One
📢 Vikings, Ragnar, Berserkers, Valhalla & the Warriors of the Viking Age / Lars Brownworth, Lex Fridman Podcast
ON THE ROAD
ON THE SCREEN
AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
A large-scale LLM-driven social simulation platform that models thousands of agents and millions of interactions to replicate and experimentally study complex social phenomena such as polarization, misinformation spread, policy impacts, and external shocks.