“Nature is the most computationally efficient system we know”: How Refiant used swarm optimization to build a 10-million-token AI model

Refiant built a 10-million-token AI model using swarm optimization, a method inspired by nature. This approach is computationally efficient and allows for large-scale models. It contrasts with frontier models that focus on version numbers and context windows. This development matters for AI research and potential applications. Engineers should consider swarm optimization for large-scale AI projects.