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Alignment Theory
Developing mathematical and conceptual frameworks to ensure advanced A.I. systems pursue goals that are faithfully aligned with human values and intentions.
Nonprofit Technology Research
Noesis Forge is dedicated to rigorous research ensuring that technology is directed in a way that benefits humanity and serves the common good.
Who We Are
Noesis Forge is a not-for-profit, grassroots research lab that operates entirely through volunteers. We are focused on ensuring that technology is directed in a way that benefits humanity. As technological systems grow more powerful, steering their development toward human well-being becomes one of the most important challenges of our time.
Our interdisciplinary team draws from machine learning, mathematics, philosophy, and cognitive science to develop frameworks, tools, and theoretical foundations for building technology that is transparent, controllable, and beneficial.
We operate with full independence — no commercial incentives, no proprietary agendas. Every insight we produce is shared openly with the global community.
We pursue deep, peer-reviewed work on alignment, interpretability, and robustness.
All of our findings and tools are freely available to advance the global safety effort.
We are nonprofit and unaffiliated, guided only by the imperative to ensure technology benefits humanity.
Our Work
Developing mathematical and conceptual frameworks to ensure advanced A.I. systems pursue goals that are faithfully aligned with human values and intentions.
Building methods to understand the internal representations and decision-making processes of neural networks, making opaque models transparent and auditable.
Creating techniques for verifying that A.I. systems behave safely under distribution shift, adversarial conditions, and novel environments.
Contributing evidence-based analysis to inform responsible A.I. policy, regulation, and international coordination on frontier systems.
Publications and technical reports will be posted here as our research program develops.
Our Output
An A.I. safety testing platform built on a real-time 3D globe. Places LLMs in high-stakes geopolitical scenarios — nuclear launches, hostage crises, autonomous weapons, financial manipulation — and measures whether they cross the line. 105 data layers, 45 scenarios.
A standard protocol for A.I. safety benchmarks to declare requirements and A.I. models to declare capabilities, enabling compatibility handshakes before evaluation.
An investigation into how A.I. agents can bypass safety constraints by delegating prohibited actions to other agents, distributing responsibility across a multi-agent system in ways that individual safety rails fail to prevent.
Get in Touch
Whether you're a researcher, funder, policymaker, or simply share our concern for directing technology toward human benefit — we'd love to hear from you.