Sam Fraser

product @arcee_ai

TRINITY builders program:

[Lucas Atkins @latkins]

Easiest co-signature of my life.

The case for open-weight models extends far beyond a small group of highly regulated institutions. It matters to any company building AI deeply into its product.

A software company may need to preserve model behavior across releases. A product team may need to fine-tune to their exact tasks, reduce inference costs, run closer to the customer, or support deployments where a remote API is a poor fit. A startup may simply decide that its core product should not depend forever on another company’s pricing, rate limits, release schedule, or product decisions.

Open weights expand the set of decisions those teams can make for themselves. It allows companies to create differentiated products instead of assembling the same remote services as everyone else.

We started Arcee because we believed businesses would eventually need more than access to intelligence. They would need the ability to shape and operate it.

I’m glad that view is gaining support. Now we have to keep building models worthy of that responsibility.

[Sam Fraser @samfrannn]

@latkins Our next release will be a full drum and bass track

[Arcee.ai @arcee_ai]

Today we are announcing a partnership with the Department of Energy to build Genesis-Science-1, an open model for scientific research. GS1 is an American open-weight AI model and governed research harness designed to complete scientific computing workflows while preserving a reproducible record of its work.

This model will be shaped by the people who know scientific work inside and out. @ENERGY is opening a contributor program for researchers, laboratories, universities, companies, and nonprofits, and we're speaking with infrastructure partners who can add training or evaluation capacity.

There’s still lots of work ahead, and we hope you’ll help us build in the open, starting with GS1.

[Sam Fraser @samfrannn]

@latkins @arcee_ai This video lowk goes hard at 2x speed

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

🤝 @arcee_ai, an American AI lab, built its frontier open model family on NVIDIA Blackwell Ultra.

Its flagship MoE model, Trinity-Large-Thinking, was RL post-trained using NVIDIA NeMo open libraries.

Arcee optimized agentic model inference with NVIDIA Dynamo and vLLM, along with NVIDIA accelerated networking, to deliver low token cost, achieving:

✅ 3T+ tokens served on OpenRouter in its first two months
✅ $0.90 per 1M output tokens
✅ 2nd on PinchBench for open agentic models

Explore Arcee's open models, powered by NVIDIA ➡��� https://t.co/zBukSH2khG

[Sam Fraser @samfrannn]

Honored to be named in the 2026 #100WomenInAI. Thanks for all the love!

[Arcee.ai @arcee_ai]

Our head of product, @samfrannn, just made the 2026 100 Women in AI list.

Sam works at the seam between our models and our products. She figures out which capabilities are worth building on, and how they should feel in someone’s hands.

Hard to think of a better pick.

[Sam Fraser @samfrannn]

@damian_b @arcee_ai Ty!!

[Sam Fraser @samfrannn]

@Shekswess Thanks! Was so nice meeting you today!

[Sam Fraser @samfrannn]

@code_star 🙏

[Sam Fraser @samfrannn]

@latkins Thanks for believing in me! Reporting for zero bullshit duties 🫡

[will brown @willccbb]

@Jason the two US companies that are most seriously pushing open models above 100B params are NVIDIA and Arcee

[Arcee.ai @arcee_ai]

Trinity-Large-Thinking is now free to use in @OpenRouter through May 23.

This model is a great choice for those working with complex agentic workflows, heavy multi-turn tool use, and long-horizon routing.

The free endpoint is live: https://t.co/f8D1ydeIfe

[Nous Research @NousResearch]

Trinity-Large-Thinking, @arcee_ai's latest model, is now free on Nous Portal for the next week

Sign up for Nous Portal to use it in your Hermes Agent today

[Sam Fraser @samfrannn]

First wave of approvals for the @arcee_ai TRINITY Builders Program are out.

If you weren’t selected this round, don’t worry, we’ll be reviewing all remaining applications in the next wave.

Thank you for the incredible interest and ideas so far!

[Lucas Atkins @latkins]

I'm hiring a devrel at @arcee_ai.

If you're honest, deeply curious, and want to help people build the most useful per token AI experiences in the world, dm me.

[Sam Fraser @samfrannn]

@latkins I feel like we need to uplevel all our graphics now

[Arcee.ai @arcee_ai]

Introducing the Trinity Builders Program.

This is a community credit grant that gives developers, researchers, and open-source builders free inference access to Trinity models on our API.

Why we're doing it: Open weights only go so far if you don't have the compute to actually build with them. We want to lower that barrier so you can run experiments, iterate, and ship real systems.

Who this is for:
- Open-source projects
- Research initiatives
- Prototypes and production applications
- Developer tooling

Grants range from < 50M tokens to > 1B tokens, allocated based on your submitted project.

Submitting an application does not guarantee approval. We'll review requests on a best-effort basis, and allocation depends on compute capacity, token budgets, and other operational priorities.

We can't wait to see what the community builds with Trinity.

Learn more and apply here: https://t.co/6IUkVgmZ0E

[Arcee.ai @arcee_ai]

A quick update on Trinity-Large-Preview: we're deprecating our hosted preview endpoint on April 22, 2026.

The response to Trinity-Large-Thinking has been incredible, and while we work to grow our long-term serving capacity, we need to prioritize reliability for paid users.

[Sam Fraser @samfrannn]

Great analysis by Vals. Working on getting our tool call failure rate down :)

[Vals AI @ValsAI]

Arcee's Trinity Large Thinking just landed on the Vals Index, ranking #10 among open-weight models and #31 across all models.