We study how frontier models become foundational systems across cultures, languages, and the impact of real-world deployment scenarios at planetary scale
Beyond Human Limits
The theoretical foundations of AI often crumble under real-world complexity. Our research investigates the fundamental questions that emerge when laboratory models meet billions of human interactions across diverse contexts and cultures.
We explore how AI systems must evolve beyond their original parameters to maintain coherence at planetary scale. Our work examines the deeper architectural challenges that arise when intelligence operates without the safety nets of controlled environments.
SCALE OUT ADAPTIVE INTELLIGENCE
Intelligence at scale reveals emergent behaviors that cannot be predicted from smaller deployments. Our research examines how AI systems develop unexpected capabilities and limitations when operating across millions of simultaneous interactions and decision points.
We study the transition from controlled AI behavior to autonomous system evolution. We focus on understanding and harnessing the complex dynamics that emerge when artificial intelligence operates at the boundaries of human comprehension and oversight.
