A big day for Arcee and for American open-weight AI. Extremely proud to be partnering with the U.S. Department of Energy to help build the next generation of open models for scientific research.
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.
I’m bullish on American Open Weights.
So I put my money where my mouth is and I went looking for the best place to grow the ecosystem. That’s why I joined up with the team at @arcee_ai. Hungry, scrappy, hopeful, and courageous: very aligned.
The benefits of AI belong to everyone and they should diffuse equitably and safely through our society. Open weights and an open market are the only way we get there.
The Department of Energy just published their official bulletin on the Genesis Open Models Initiative.
We’re proud to support the Genesis Mission and partner with the DOE and U.S. national labs to build capable open models for science.
Read the release: https://t.co/OtKMYtYjZc
We’re extending the Track 1 deadline for Genesis-Science-1 contributions to August 20th.
For those interested in applying, here are some more specifics around what we are looking for:
• Scientific code with documentation and research context
• Papers across stages of revision, including reviews and responses
• Experimental protocols and analysis records, including troubleshooting and failed attempts
• Negative results, replication attempts, and failure analyses
• Theses, grant proposals, and internal technical reports
• Scientific teaching materials, including worked problems and solutions
Apply here: https://t.co/iVnbGWvNoj
As the first contribution deadline approaches on August 6th, a quick reminder for research teams and engineers looking to contribute to the GS1 model.
We are currently seeking foundation-stage data: scientific text, code, documentation, and structured collections for pretraining and context extension.
Last week, we announced a partnership with the U.S. Department of @ENERGY to build Genesis-Science-1 (GS1): an open-weight, trillion-parameter class model built on our Trinity architecture.
To make GS1 a reliable tool for discovery, we are accepting data contributions directly from the scientific community.
Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.
During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.
That’s why we created the Open Secure AI Alliance.
Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind@demishassabis . Onwards!
Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. https://t.co/Tr0sAzAxTD
The knowledge that makes AI useful is diffused. It lives with scientists, engineers, clinicians, firms. For AI to benefit from distributed knowledge, it must itself be distributed. Agree with Jensen that this is a future worth building.
Open models are critical to American AI leadership, driving innovation, competition and national security. Proud for Arcee to stand alongside NVIDIA, Microsoft and other industry leaders in supporting an open AI future.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
https://t.co/AUKzoQ5Ikb
I'm so happy this article came out on the same day as the GS1 announcement. Thanks Julie and @TechCrunch for the opportunity to speak on it. I'll link to the article below.
While the open-model conversation has recently become a political one, rather than the philosophical or safety-focused conversation it was roughly two years ago, I think solving the underlying reason companies and developers are choosing Chinese models, namely the lack of american and western alternatives, is a far better use of our time, capital, and collective thought than trying to regulate the problem away.
That would only be a band-aid, and those motivated enough would inevitably find ways around it.
When we released Trinity-Large-Preview in January, I said that by the end of the year we'd have a much more fruitful open-model ecosystem in the US, and I'm pleased that we're already starting to see signs of that.
Since then, @thinkymachines has released Inkling, an organization and team team that carries tremendous influence. @poolsideai is moving at an insane pace with its recent Laguna models and shows no signs of slowing down. @nvidia has obviously shown the wider industry that investing heavily in open models and open science can deliver massive downstream dividends.
And we've been heads down, building toward a series of models, including GS1, that will, as I said below, “give [you] something to talk about.”
Let's ride.
Arcee, which develops open-weight models in the US, partners with the Department of Energy to build Genesis-Science-1, an open model for scientific research (@catherineperlo1 / The Information)
(Visit Techmeme dot com for the link and full context!)