Ideas

The Power of Niche Expert Modules in AI Members Public

General-purpose LLMs can’t “do it all.” Modular AI with niche expert modules delivers higher accuracy, greater trust, and scalability. In the context of our self-evolving AI, modular outperforms monolithic through the assembly of specialists that evolve and adapt as needs change.

Christopher Ford
Ideas

5 Things Made Possible by Continuous Learning in AI Members Public

Current AI models plateau when problems get hard. Continuous learning unlocks adaptability, self-correction, and curiosity, the traits needed for human-level AI. Our architecture is paving the way.

Christopher Ford
Ideas
AI Architecture

Why Trust, Reliability, and Interpretability Matter in AI (Seriously) Members Public

Enterprises can’t rely on fluent guesses. We outline why trust, reliability, and interpretability are non-negotiable in medicine, finance, law, robotics, and more, and make the case for a modular, self-verifying AI architecture that evolves safely.

Christopher Ford
Ideas