Medronho, now publicly known as Iliad (medronho.org redirects to iliad.ac), is an umbrella organization for applied mathematics research in AI alignment. It organizes the ILIAD conference series, a multi-day gathering of approximately 100 researchers in theoretical AI alignment covering topics like Singular Learning Theory, Agent Foundations, Causal Incentives, and Computational Mechanics. Beyond conferences, Iliad runs the Iliad Intensive (a one-month educational program on the mathematics of technical AI alignment) and the Iliad Fellowship (a three-month mentored research program), incubates research organizations, and manages scientific publishing. The organization is based in London and collaborates with academic partners including the University of New Brunswick, University of Sussex, and University of Duisburg-Essen.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $634,000
- Fiscal Sponsor
- Principles of Intelligence (formerly PIBBSS); previously Ashgro, Inc.
Theory of Change
Iliad (Medronho) believes that AI alignment requires strong mathematical and scientific foundations. By bringing together researchers from mathematics, theoretical physics, and theoretical computer science through conferences, intensive programs, and fellowships, the organization aims to fold rigorous mathematical expertise into AI alignment research. Their theory of change centers on building a community of mathematically sophisticated researchers working on alignment, producing peer-reviewed research, incubating new research organizations, and accelerating the development of formal frameworks for understanding and ensuring AI safety. The conference series creates network effects among theoretically-inclined alignment researchers, while the intensive and fellowship programs develop a pipeline of mathematically trained researchers entering the field.
Grants Received
from Survival and Flourishing Fund
Projects
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People
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Details
- Last Updated
- Apr 3, 2026, 1:16 AM UTC
- Created
- Mar 18, 2026, 11:18 PM UTC