Topics

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.

Neural Networks learn without Weight updates? New study shows Bias-Only training matches full models. A minimalist approach to training challenges deep learning orthodoxy, offering a lighter path to high-functioning models.

A vivid, name-rich conversation with Alex S. Johnson traces the wild intersections of cyberpunk, neurodivergence, cult literature, and countercultural art—told with irreverence, intellect, and unapologetic flair.

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?

Parastatistics challenges the fermion-boson binary with paraparticles—offering a bold new lens on quantum mechanics and hinting at breakthroughs in materials and quantum computing.

How decentralised science could transform research: unlocking funding, access, and collaboration while handling risks of quality, governance, and trust.

Innovation does not live in the comfort zone of mature systems, but at the edge where they begin to destabilise.