Max Wegman

talent @poolsideai

[Max Wegman @MaxWegman]

@_burakkurkcu @ChangJonathanC @paularambles @poolsideai We purposely have hired mostly on the east coast & in Europe because of this. Many folks arrive Mon morning and leave Wed evening, so no, it doesn't necessarily cut into weekends. It's less commuting than a normal office commitment & similar to a monthly x country to/from SF.

[Eiso Kant @eisokant]

Today we are releasing Laguna S 2.1.

At 118B total parameters, with 8B active per token, it does the work of models several times its size on agentic coding. It is remarkably persistent across long-horizon tasks. And it is small enough to run on a single NVIDIA DGX Spark.

It is far more capable than anything we have created before, and I think it redefines what a model in its weight class can do.

Laguna S 2.1 is an important model for Poolside. What it represents is even more important.

If, five years ago, I had read a book that said that by 2030 everything economically valuable, scientifically interesting, and personally meaningful would be built on intelligence contracted from three or four companies, I would have called it dystopian science fiction.
We are at a fork in the road of what kind of world we can have.

I believe intelligence should and will become a commodity. The question is whether that intelligence comes from three companies, or from many people who can build it, own it, and shape it.

The open ecosystem will not win by being the best in its own category. No one cares who is king of the open-source kingdom. People want the best intelligence for the task they are trying to do, with the right balance of quality, speed, cost, and control.

If we want a different future, open models have to be on par with, or better than, their closed equivalents.

Laguna S 2.1 is a meaningful step in that direction: capable enough to compete far above its weight class, efficient enough to run on hardware you can own, and open-weight so anyone can build on it.

Open-weighting our models is the contribution we can make today toward a world where intelligence can be built and owned by many. And we will keep doing it.

I am very proud of this team’s work. A big shout out to everyone at Poolside who made this possible, from infrastructure and data to architecture, pretraining, post-training, evaluations, and inference.

Laguna S 2.1 is available today under the OpenMDW-1.1 license, with weights on Hugging Face and access through OpenRouter and our API.

We are building toward a future where the most capable intelligence in the world can be owned and shaped by anyone. Laguna S 2.1 is one step. We are going to keep building until that future exists.

https://t.co/eTV7iNATrB

[Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex]

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

[Max Wegman @MaxWegman]

@dhbrojas happy to have you Diego 🫡

[SzymonOzog @SzymonOzog_]

Laguna M is also open weights now!

Really proud both of the model and the decision to release the weights. Cannot wait to see what cracked things the community does with it

[Matthias Gallé @mgalle]

Ceci n'est pas une model card

It might look like one, but if you try to grasp it you will see that what it really is is a "model factory card". Models are just a snapshot in time, what we care about is the underlying infra that produced them

[Max Wegman @MaxWegman]

@SzymonOzog_ @tugot17 ➕

[Max Wegman @MaxWegman]

poolside hackathon at the end of may. we're providing the compute. winner gets a DGX spark from NVIDIA.
disclaimer: the hardware might be infected by @sarna_dev's case of local laguna addiction

[Poolside @poolsideai]

Poolside is hosting a 2-day model research hackathon in London.

Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab.

Dates: May 29–30
Partners: @nvidia + @PrimeIntellect + @huggingface
Prize: NVIDIA DGX Spark

Agents need better models.
Better models need cracked researchers.

Link below.

[Eiso Kant @eisokant]

We are an American company with a global team and global aspirations.

The story of @poolsideai is that early on in the life of the company we decided to focus on building out our applied research org. in Europe. That’s been the seed for an amazing team and a competitive advantage. Today we have team members all over the world, Europe and US are roughly equal in size, Asia is growing.

Three years ago we thought France would be a great place to build from but in the early days found our hiring happened all across Europe instead. Today we have less than a handful of folks in France but large teams in Europe in London, Amsterdam, Zurich etc. We operate as a remote first company but have an office in Paris where we do monthly on-sites (it is great logistics for this) and an office in London which is used on a daily basis.

When we raised capital early on, the vast majority of it came from US investors but European (including French ones) have been a part of our rounds.

When we got to France (almost 3 years ago) we were offered significant double digit million research grants. My cofounder @jasoncwarner and I did not feel comfortable accepting the grants when we realized that France was going to be only a small part of our story. So we respectfully turned them down.

France keeps a special place in our hearts but we’re a global company with global aspirations.

[Max Wegman @MaxWegman]

@eric_alcaide @iamgrigorev nah we poolin 🏖️

[SzymonOzog @SzymonOzog_]

- Wake up
- Analyze Perfetto/NCU traces
- Test multiple optimization strategies
- Get excited about speedups
- Discuss results with lovely human beings
This could also be you, if you're passionate about those things reach out/apply!

[Max Wegman @MaxWegman]

@rexledesma @poolsideai 🫡

[Max Wegman @MaxWegman]

@philipkiely lovely ICLR booth folks gave me that limited edition @baseten Day0-partner hardcopy for the @poolsideai office 🤓🙌

[Max Wegman @MaxWegman]

@pranay5255 @rosinality Deep dive is on the blog!
https://t.co/LonVBeqt4i

[Matthias Gallé @mgalle]

I have been involved in many model launches at different places, but this one is the first that feels **industrial**
Poolside talks a lot about the model factory, and this is not just some marketing point:

[OpenRouter @OpenRouter]

The first public foundation models from @poolsideai just dropped on OpenRouter!

Laguna M.1 and Laguna XS.2. Built from scratch for agentic coding and long-horizon work. Free for a limited time ⬇️

[SzymonOzog @SzymonOzog_]

Insanely proud of what the team has built! Now you can all check out why I keep repeating how bullish I am

[Max Wegman @MaxWegman]

Laguna M.1 and XS.2 are out today!!

So excited to have candidates get hands-on and give feedback on what we've been working on :D

[Poolside @poolsideai]

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

[Poolside @poolsideai]

Poolside is heading to ICLR 2026 (@iclr_conf) in Rio this week 🇧🇷
@robert_mchardy , @iamgrigorev, @marah_i_abdin, @helloo_polly, @maxwegman, @SzymonOzog_ and @ArkadiiBessonov will be there from the team.
If you’re working on training infra, synthetic data, coding models, RL, or anything at the frontier — come find us!

[Max Wegman @MaxWegman]

pumped to head to Brazil with @SzymonOzog_ & other MTS from @poolsideai; we're hiring, and our research team & I would love to connect with folks working across LLM training domains like pretraining, (synthetic) data, PT (RL/FT), evals... the list goes on! get curious 🏖️🏖️

[SzymonOzog @SzymonOzog_]

Brazil 🇧🇷 I've arrived. For anyone attending ICLR I'm happy to meet and discuss CUDA/MLSys/Optimizations. DMs are open!