Today we’re releasing the weights for Laguna M.1,
our most capable model to date, with a 256K context length.
Both base and post-trained checkpoints are now available on Hugging Face under Apache 2.0.
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: https://t.co/HSo8L2gM64
API: https://t.co/DMJtNFrace
Blog: https://t.co/BXEjQxtQoV
Interested in Networking, SONiC, AI Fabrics?
Over the next 30 days, I'll be writing 30 Atomic Essays.
Follow my Social Blog on @typeshare_co:
https://t.co/nJyJ4ti42r
@dickiebush Hi there! I'm Senthil from California. I'm keen to write about network fabrics and explore new perspectives and ideas. I am most excited about Ship 30 for 30 for the community engagement and the opportunity to refine my writing skills! 🚀✍️ #Ship30for30#WritingCommunity
I just hopped aboard the October Ship 30 for 30 cohort from @dickiebush and @nicolascole77!
Join me and 500+ others to learn the fundamentals of digital writing, form lifelong friendships, and publish every day for 30 days.
Check it out!👇🏼🚢
https://t.co/eQN66c9Ad3
This is a useful classic, from @nntaleb TBS to contextualize tidy "lessons learned" from success stories. (i.e. Person A/Company A/Team A is successful! They did xxxx; thus, you should do xxx and be successful too...)
I discussed @forbes here -> https://t.co/aIOuX6dABH