Today, we’re releasing Poolside Desktop Assistant.
One place to run coding agents across macOS, VS Code, and Visual Studio.
We built it for ourselves and have used it every day for the past year. Now we’re opening it up to everyone.
Come hear @mgalle and @sudip_r0y get into the weeds on post-training, agent RL, continuous learning, and what it takes to make models work reliably in production!
First episode of Field Notes, our new monthly series on the leaders shaping AI.
@sudip_r0y, Adaption Co-founder, and @mgalle, post-training lead at @poolsideai discuss the last 5% of reliability and what it actually costs.
we knew the community could make Laguna faster. 2.6x faster is pretty fun :)
huge congrats to the winner, and to all 35 solvers who spent the last few weeks pushing Laguna XS 2.1 further!
more reasons to build in the open, together 🤝
We started the MLX.fast challenge with @poolsideai with one key question. How much faster can the community make Laguna XS 2.1 run on a Mac?
The answer so far has been 2.6x faster.
Nearly 1,800 submissions and 35 solvers later, the challenge comes to a close
We just crossed 10T tokens served across all our models in less than 3 months!
Laguna S 2.1 is pushing new highs at ~300B tokens a day, and has processed +2T in the 14 days since release.
That’s across @OpenRouter@vercel and our direct API.
Really good to see demand for open
Poolside Desktop Assistant has been out for a week, and we’ve received so much great feedback!
Today we’re releasing version 1.4.0, with a bunch of new features and fixes based on your bug reports:
- Native steering and queueing where supported
- Proper plan mode and agent Q&A