RT @inverternetwork: What if token supply wasn’t static, but instead responded dynamically to market conditions? That’s the promise of Pri…

@jeffemmett 7/ We think of it as “cybernetic calisthenics” fitness for institutional agility & resilience. Systems thinking, model-based-institutional-design & computer-aided-governance, offer valuable methodologies for the effective design & #governance of cyb-orgs:

💡 Shared via #slack @mZargham In the late 19th century, Karl Weierstrass invented a fractal-like function that was decried as nothing less than a “deplorable evil.” In time, it would transform the foundations of mathematics. @QuantaMagazine Explainers

We practice a version of systems engineering specialized for complex multi-stakeholder ecosystems. Model-based systems engineering (MBSE) seeks to optimize outcomes for all involved, instead of benefiting some stakeholder’s at the expense of others.

@mZargham @kelsiemvn Aligning ‘Decentralized Autonomous Organization’ to Precedents in Cybernetics @mzargham @kelsiemvn Drawing on Stafford Beer’s Viable Systems Model, this paper bridges DAOs & #cybernetics via two key principles of organization: viability & purpose SSRN:

@kelsiemvn @mZargham For policymakers, the research underscores the importance of crafting adaptable regulations, some embedded in the design of the technological architecture, some externally imposed, monitored, & enforced through institutional measures, to ensure both AI innovation & accountability

💡 Shared via #slack @JeffEmmett On Hopfield networks & Boltzmann machines, in which @oliverbeige connects the 2024 physics Nobel Prize to machine learning and economic design.

Complex Systems Modeling Workshop #4 How MAIDs informs @cadCAD models, emphasizing standardized structure for policy functions & state update functions. This process offers a template to encapsulate agent logic, enabling greater abstraction & testability