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Dr. Mihaela Ulieru and Dr. Em Lenartowicz explore a radically different approach to governing AI, while breaking down the failure of current AI governance.

Neural Cellular Automata scaled to HD: Coarse NCA handles self-organizing structure on a small grid, while lightweight LPPN renders high-resolution details in real-time for images, textures, and 3D meshes.

What if thousands of everyday laptops formed a global AI brain? OpenClaw shatters centralized AI monopolies with a decentralized, private, people-powered intelligence mesh.

A small model outsmarts the giants. Microsoft’s rStar-Math rewrites the rules of AI math reasoning—no teacher models, just smart self-training and Monte Carlo strategy.

What if developing nations could skip factories altogether? AI micro-automation may enable smaller economies to build prosperity through distributed intelligent systems rather than massive industrial infrastructure.

An examination by a top mathematician of how mathematicians might respond to AI capable of research tasks.

Beyond parroting answers, Meta-CoT teaches AI to reason—mapping dead ends, correcting itself, and thinking like a human faced with a maze of logic.

What do Beethoven, biomaterials, and mycelium have in common? A new AI-powered knowledge graph reveals scientific insights by connecting ideas no human could link—across text, images, and sound.

A vision model trained on millions of simulated gas trails finds, outlines, and traces methane sources in NASA images from the International Space Station.

Bias is not just visible hatred but hidden programming. Examining history, culture, and AI, this piece asks: whose scriptures are scripting our systems—and whose future is being coded?