Discussion

• @poolsideai @poolsideai on x

  Today we're releasing Laguna XS.2, Poolside's first open-weight model. It's a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks. Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0. Links 👇 Weights: [image]

• @almonk @almonk on x

  Today we're launching our first public Poolside models: Laguna M.1 and Laguna XS.2, and we've built ❈Shimmer, an instant-on VM sandbox with Poolside Agent pre-installed so you can try them out. Go play out our new models for free, and build something fun → [video]

• @jasoncwarner Jason Warner on x

  We believe software is the interface through which intelligence becomes useful, and the pathway to true intelligence Until today we've focused on building the full stack by shipping models, the Poolside platform, and our applications to very large enterprise customers, on-prem

• @nummanali Numman Ali on x

  There should be more noise about Poolside models They pre trained them from scratch and not fine tuned on other OSS models Beats Gemma models and on par with Qwen Western (US) model that has a small on device model and large through Cloud https://poolside.ai/models [image]

• @prince_canuma Prince Canuma on x

  Day-zero support for Laguna XS.2 in MLX🔥🚀 @poolsideai's first open-weight model is now supported in MLX. 33B total params, 3B activated, built for agentic coding, and running natively on Apple Silicon. Huge thanks to team at Poolside for the early collaboration 🙌🏽 Heads up:

• @jasoncwarner Jason Warner on x

  We'll be making public all our applications, including our VSCode IDE assistant. For now you'll simply have to make do with what I think is likely the best web based instant-on VM sandbox experience available Haven't been this in love with a product since “git push heroku

• @nvidiaai @nvidiaai on x

  Some more amazing models launched today! Congrats to @poolsideai on the release of Laguna XS.2 and Laguna M.1

• @openrouter @openrouter on x

  Laguna M.1 is a 225B MoE model with 23B active. Poolside's most capable model, purpose-built for agentic coding and long-horizon work. Use it now: https://openrouter.ai/...

• @almonk @almonk on x

  I'm particularly excited for Laguna XS.2, our open weight model you can run on your own hardware. This thing is smart and fast. Use it for free in our sandbox env https://shimmer.run/ with a Next.js app skeleton for maximum fun. [video]

• @prince_canuma Prince Canuma on x

  @zzddfge @poolsideai Different training targets Laguna is focused on coding and long-horizon tasks. While Qwen 3.6 is great an all-rounder and a VLM (the multimodality helps with generalisation )

• @teksedge David Hendrickson on x

  🚀 Poolside (🇺🇸) just dropped Laguna XS.2, their first open-weight model! Test it now on @OpenRouter for Free! 🔥 33B total / 3B active MoE model 🤖 Built for agentic coding & long-horizon tasks 💻 Runs on a single GPU ✅ Apache 2.0 license Key highlights: • 📈 Strong [image]

• @jasoncwarner Jason Warner on x

  Today @poolsideai is releasing Laguna M.1 & Laguna XS.2, our latest generation models and first public models We started Poolside because we believed that to build truly capable coding agents, you need to own the full stack: data, training, reinforcement learning, inference.

• @jasoncwarner Jason Warner on x

  Laguna XS.2 is open-weight under Apache 2.0 and runs on a single GPU We believe the West needs strong open-weight models. We want developers and researchers to be able to run this one, build on it, and push it further than we can on our own Laguna M.1 is our most capable model

• Christoph Janz Christoph Janz on linkedin

  Big day!  Incredible what Eiso Kant, Jason Warner, Margarida Garcia, José Caldeira and the team at Poolside have accomplished in a short amount of time. …

• r/LocalLLaMA r on reddit

  Introducing Laguna XS.2 and Laguna M.1