Poolside (@poolsideai) / X

Poolside

151 posts

Poolside

@poolsideai

We build models for agentic coding and long-horizon tasks. Try Laguna: poolside.ai

Joined May 2023

Affiliates Replies Media

Pinned
Poolside
@poolsideai
Jul 2
Today we’re releasing Laguna XS 2.1. It’s a small upgrade to the Laguna XS.2 model, the same 33B total / 3B active MoE and stronger results on multilingual coding and terminal-style tasks. Available now on @huggingface, @OpenRouter, and via Poolside API.
Poolside
@poolsideai
Jul 16
go say hi to Laguna.
MTS
@MTSlive
Jul 16
AI researcher Sauers on why nobody in AI has figured out how to reliably give a model a specific personality: "OpenAI had tried to make very rich and interesting personalities. They tried explicitly. Presumably they're very well-funded to do this." "Anthropic said they have no
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Poolside reposted
Artem Tyurin
@tema_codes
Jul 14
Open protocols in action: pool connecting to a Goose agent on an exe.dev VM via the new ACP network transport.
Poolside
@poolsideai
Jul 11
very impressive work from @luceboxai team! Laguna XS 2.1 now hits 296 tok/s on a single RTX 3090 and holds 152 tok/s at 256K context nice work across KVFlash paging and ring caching to make long-context local inference really fast.
GIF
Sandro
@pupposandro
Jul 11
@poolsideai recently released Laguna XS 2.1, an awesome 33B coding model with a DFlash speculative-decoding drafter. Lucebox now runs the pair on a single RTX 3090: - 296 tok/s peak at short context - A flat 152 tok/s at 256K tokens, where the full KV cache would not even fit in
Poolside reposted
Gajesh
@gajesh
Jul 9
now - my best way to evaluate models is to just put it on unsolved problems. frontierCS is about to make that much easier -- they're a set of open-ended problems. i have been back on using @poolsideai's M.1 model and it has been performing pretty well on my internal and
Eigen Labs
@eigenlabs
Jul 9
Researchers from Berkeley and Princeton are partnering with Eigen Labs to launch a suite of open science autoresearch challenges together on Frontier CS. The paper is being presented at @icmlconf in Seoul today. If you’re there, join the researchers at Hall A 502 from 2:30-4:15
Poolside
@poolsideai
Jul 9
Big day for @ollama, and a big day for open models. We’re proud to build with partners making open models easier to access for everyone.
ollama
@ollama
Jul 9
Big day for Ollama! When we started, open models and the open source AI ecosystem were in their early days with few believers. Our belief in open source has never wavered. With today's fundraising announcement and our 9M+ active builders, we’re ready to scale open models into
Poolside
@poolsideai
Jul 8
Good to see Laguna XS 2.1 clear the board 💙
atomic.chat
@atomic_chat_hq
Jul 8
Laguna XS 2.1 performed on Qwen 3.6 35B's level in Tetris building and ran 2x faster We tested two open models on a single RTX 3090 in the @poolsideai coding agent. The task was building a playable retro Tetris as one self-contained html file. Each model wrote and rewrote the
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Poolside
@poolsideai
Jul 7
Poolside is coming to @RaiseSummit Tomorrow @eisokant joins two panels that are very close to what we’re building toward: training AI at scale, and making the open ecosystem stronger. Tune in: Training at Scale: What a Frontier Lab Actually Needs 1:00 PM–1:40 PM - IREN AI
Poolside reposted
Cline
@cline
Jul 3
New free model in Cline! Laguna M.1 by Poolside. Speedy 225B total parameter model with 256k context, built for agentic coding and long-horizon work. Use the model id: poolside/laguna-m.1:free
Poolside reposted
Baseten
@baseten
Jul 2
We're thrilled to power Laguna XS 2.1 from Poolside via the Baseten Frontier Gateway! Laguna XS 2.1 supports a 256K context window and is a strong default when you want a small, efficient model for agentic coding and long-horizon software tasks.
Poolside
@poolsideai
Jul 2
Today we’re releasing Laguna XS 2.1. It’s a small upgrade to the Laguna XS.2 model, the same 33B total / 3B active MoE and stronger results on multilingual coding and terminal-style tasks. Available now on @huggingface, @OpenRouter, and via Poolside API.
Poolside reposted
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
@teortaxesTex
Jul 2
Halfway to its Qwen 3.6 peer (I choose to ignore Terminal Bench). Presumably they, too, have learned the Dao of continuous RL gains. If this is their GLM 5.0 to 5.1 moment, I am optimistic about the next one
Poolside
@poolsideai
Jul 2
Today we’re releasing Laguna XS 2.1. It’s a small upgrade to the Laguna XS.2 model, the same 33B total / 3B active MoE and stronger results on multilingual coding and terminal-style tasks. Available now on @huggingface, @OpenRouter, and via Poolside API.
Poolside reposted
LMSYS Org
@lmsysorg
Jul 2
🎉 Day-0 support for Laguna XS 2.1 from @poolsideai is now live in SGLang! This is a 33B total params MoE built for agentic coding and long-horizon work on your local machine. 1️⃣ Native interleaved thinking between tool calls, toggle per-request 2️⃣ Mixed SWA + global attention
Poolside
@poolsideai
Jul 2
Today we’re releasing Laguna XS 2.1. It’s a small upgrade to the Laguna XS.2 model, the same 33B total / 3B active MoE and stronger results on multilingual coding and terminal-style tasks. Available now on @huggingface, @OpenRouter, and via Poolside API.
Poolside
@poolsideai
Jul 2
We are licensing Laguna XS 2.1 under OpenMDW-1.1. We are making this change to support open model distribution for the community. OpenMDW-1.1 is fully permissive and designed for models and related artifacts, giving developers and organizations a more consistent framework for
NVIDIA AI
@NVIDIAAI
May 28
We're adopting the Linux Foundation’s OpenMDW framework across our open model families. This helps make open model licensing simpler and more consistent at scale. A single legal framework across models, code, documentation, and data helps reduce friction for developers and
Poolside
@poolsideai
Jul 2
Replying to @poolsideai @ollama and @atomic_chat_hq
For the best agent experience, try XS 2.1 in pool, our terminal-based coding agent. pool now supports OpenRouter login, so you can use it with Laguna XS 2.1, our other models, or the wider OpenRouter catalog. Just run pool login
GitHub - poolsideai/pool: pool is Poolside’s coding agent that runs in your terminal or integrates...
From github.com
Poolside
@poolsideai
Jul 2
We’re working hard to release more capable models, and feedback from the community helps us make the next ones better. Join our Discord: discord.gg/sh2QJm2GA Learn more: poolside.ai/blog/introduci…
discord.com
Join the Poolside AI Discord Server!
The official home of Poolside AI. 🏊 Talk models, show off what you're building, ask the questions that actually matter.Bring your best prompts. Welcome to the pool. | 209 members