Frontier AI on Your Own Hardware

The article argues that academic labs can drive the next decade of AI research by building open-source ecosystems rather than individual papers, enabling rapid, low-cost experimentation. It outlines a lab’s focus on creating accessible inference-serving frameworks, agent harnesses, and autonomous research systems that run on modest hardware, emphasizing that the unit of research is now the ecosystem.