Latent Space interviewed Databricks technical leaders Matei Zaharia and Reynold Xin about openness in the frontier AI ecosystem. Their argument centers on the idea that companies need open infrastructure, models, and data systems to build agent clouds on their own terms.
The conversation comes as enterprises weigh closed frontier models against open and hybrid stacks. For many companies, the key issue is not only model quality, but control over data, workflows, and deployment architecture.
The interview adds to the broader debate over whether the next wave of AI platforms will be vertically closed or built from interoperable components.