#1 Poolside AI Introduces Laguna M.1 and XS.2 Agentic Coding Models
Poolside AI has released Laguna M.1 and Laguna XS.2, the first two models in its Laguna family, both utilizing a Mixture-of-Experts (MoE) architecture. Laguna M.1, a 225B parameter model, achieved 72.5% on SWE-bench Verified, while the 33B parameter Laguna XS.2, their first open-weight model runnable locally, achieved 68.2%. They also released `pool`, a research preview agent for coding, and detailed their training innovations including AutoMixer for data curation, the Muon optimizer, and their Titan training framework.