Mathematical Metaphysics Institute
The Mathematical Metaphysics Institute is a 501(c)(3) nonprofit founded by Alex Zhu that aims to do for metaphysics what calculus did for natural philosophy. The institute works to formalize metaphysical insights from the mystical traditions of world religions, particularly Buddhist dependent origination, using category theory as its mathematical framework. Its research spans three core areas: complex systems foundations, science and consciousness, and trustworthy AI. The institute argues that without technically precise understandings of truth and goodness, it is difficult to avoid building AI systems that merely reflect programmer biases or sycophantically validate users' mistaken conceptions. The institute has organized Math and Metaphysics Symposia and funds academic research on Eastern spiritual traditions.
Funding Details
- Annual Budget
- $204,787
- Monthly Burn Rate
- $17,066
- Current Runway
- -
- Funding Goal
- -
- Funding Raised to Date
- $495,000
- Fiscal Sponsor
- -
Theory of Change
The Mathematical Metaphysics Institute believes that building trustworthy AI requires technically precise understandings of truth and goodness, which current approaches lack. Without such foundations, AI systems risk merely reflecting programmer biases or sycophantically validating users' mistaken conceptions. The institute's theory of change centers on developing a rigorous mathematical framework for metaphysics and metaethics, drawing on insights from contemplative traditions (particularly Buddhist dependent origination) formalized through category theory. By establishing a mathematical basis for evaluating truth and goodness from within any given perspective, this work would provide the formal foundations needed for AI systems that can reason about values in a principled way, reducing existential risk from misaligned AI.
Grants Received
from Survival and Flourishing Fund
from Survival and Flourishing Fund
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Details
- Last Updated
- Apr 2, 2026, 9:49 PM UTC
- Created
- Mar 18, 2026, 11:18 PM UTC