Engineering Intelligence
Under Constraints.
Omega Labs is a quantitative research studio building decentralized machine learning infrastructure.
ScarCity
v0.1.0-alphaA framework for training machine learning models without direct data access. Scarcity introduces a new paradigm where compute moves to data.
Lab Notes & Research
View Archive →Assumption, Challenge, and Resolution: Online Relationship Discovery
A research log entry about online relationship discovery, focusing on assumptions, challenges, and resolutions.
Phase 1: Site Launch & Scarcity Integration
We made the website, pushed Scarcity, and redesigned the interface. Documentation is now up to date.
Federated Learning - What It Is, Approaches, Algorithms, and How to Train One
A comprehensive guide to Federated Learning, covering its approaches, algorithms, training process, and practical applications in privacy-preserving machine learning.
Meta-Learning - Learning How to Learn
Exploring meta-learning as an approach to teaching models how to learn, with practical insights from building KShield and continuous adaptation systems.
Review of "A Path Towards Autonomous Machine Learning Intelligence" by Yann LeCun
A comprehensive analysis of Yann LeCun's vision for autonomous machine learning and the future of AI systems.
Why Role-Playing is Still Mirroring, Just Narrowed
Exploring the psychological mechanisms of role-playing and how it relates to our innate mirroring behaviors.