I am now officially ABD (all-but-dissertation)! 🙂 I am looking forward to working on essays on computational monetary systems—exploring emergence, networks, and design, all the way from Menger to Bitcoin. Many thanks to everyone who made this possible! 🎓

Thrilled to share that I’ll be joining @sfiscience.bsky.social for the 2025 Graduate Workshop in Computational Social Science! I am grateful for the opportunity to collaborate with an incredible group of scholars and present insights from my research on Computational Monetary Systems.

If we want artificial intelligence to scale and to have a deep and meaningful impact on the economic system, we should understand AI as an "agents' intelligence". Digital transformation is based on ongoing advances in disturbed computing.

Advances in AI cannot solve the calculation problem. If economic agents have agency and the future is not predetermined the knowledge problem persists. If the future is predetermined, there was no calculation problem to begin with. Not to mention, that AI agents will be joining the economic system.

It seems to me that Replace-By-Fee (#RBF), once criticized for spiraling fee dynamics, combined with a second-layer Lightning Network (#LN), has the potential to stabilize #Bitcoin's monetary system through balancing off-chain supply and demand for bitcoins.

"Algorithmic expression allows verbs—processes—as well as nouns—objects and quantities. It allows fuller description in economics, and can include heterogeneity of agents, actions as well as objects, and realistic models of behavior in ill-defined situations." -- W. Brian Arthur

Considering the title for my dissertation: "Computational Monetary Systems: Emergence of Money and Digital Transformation." It explores monetary systems as distributed computing, covering networks, injection effects, switching costs and Bitcoin's multi-layered dynamics. Thoughts?

What sort of monetary system have you given us, Mr. Nakamoto? A decentralized peer-to-peer one, if you can keep government out of it.

"Seen from this viewpoint, the most suggestive work, from the standpoint of the following theory, is that of Hebb and Hayek." -- Frank Rosenblatt (1958): "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain."

There are 2 types of people arguing that #Bitcoin is not (yet) money: (1) those who want to research conditions under which Bitcoin monetization is plausible and (2) those who want to dismiss the concept altogether. It would be most imprudent to lump these groups together.

Extraordinary scholarship of Friedrich Hayek—from use of knowledge in society through sensory order to complex phenomena—lays the foundation for a transformative compositive computational economics. #NewHayekianEcon

Bitcoin and AI will have a tremendous positive impact on our society in the near future. #Bitcoin through developments in multilayer stabilizing monetary dynamics and #AI through focus on collaborative intelligence modeled as groups of semi-intelligent interacting agents.

Absolutely brilliant keynote speech of @JackMallers.bsky.social at BTC Prague about abstraction and physicality of computation as it relates to proof-of-work, explaining why it is essential in viability of digital synthetic-commodity money.

"The understanding [Miller and Drexler] exhibited of Hayek seemed to me to be far more sophisticated than that of most economists, and the number of ways in which contemporary computer science appeared to be closely related to Hayekian themes was astonishing." -- Don Lavoie

"To the naive mind that can conceive of order only as the product of deliberate arrangement, it may seem absurd that in complex conditions order, and adaptation to the unknown, can be achieved more effectively by decentralizing decisions." -- Friedrich Hayek