Poolside drops Laguna S 2.1, an open-weight coding model that beats rivals 10x its size
Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier.The model, Laguna S 2.1, is a 118-billion-parameter Mixture-of-Experts (MoE) system that activates only 8 billion parameters per token, supports a context window of up to 1 million tokens, and — according to benchmarks published by the company — matches or beats open models several times its size on agentic coding tasks. The weights are available immediately on Hugging Face under the permissive OpenMDW-1.1 license.The headline numbers are striking for a model th [...]
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American AI startup Poolside launches free, high-performing open model Laguna XS.2 for local agentic coding
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Poolside releases Laguna S 2.1, the open-weight coding model pitched as the West’s answer to DeepSeek and Qwen
Poolside has released Laguna S 2.1, a 118-billion-parameter open-weight model built for agentic coding that the San Francisco startup says matches or exceeds models several times its size. The model u [...]
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