Arcee AI Headlines

Arcee AI Blog

Arcee AI introduces NAC, an open-source runtime designed to coordinate parallel agent workers and persistent state for long-running engineering tasks.

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Microsoft Newsroom

The Linux Foundation joined Cisco, Dell Technologies, IBM, Meta, Microsoft, NVIDIA and other industry signatories in an open letter which makes the case that open weight models are an essential part of the foundation for secure, universally accessible and innovative AI . The letter argues that the right response to the real risks of open weights is a stronger open ecosystem rather than prohibition, and that policymakers should encourage rather than restrict frontier open models.

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Digg

Digg article summarizing Arcee AI's partnership with Hugging Face, including social media reactions.

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Digg

Nathan Lambert, former Allen Institute for AI post-training lead, joins Arcee as a Research Advisor to guide open-source AI model development.

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Digg

Digg reports on Arcee AI's partnership with Hugging Face to replace AWS S3 with Hugging Face Buckets for all models and datasets.

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Hugging Face

Hugging Face announces a multi-million dollar partnership with Arcee AI, making Arcee the first major American AI lab to use Hugging Face's private storage exclusively.

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Kilo

Trinity Large Thinking is listed among best open-source coding models, described as best US-origin open reasoning model.

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Arcee AI

Arcee AI announces moving its Trinity family of models to the OpenMDW-1.1 license, a Linux Foundation permissive license for open AI model distributions.

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TPS

Arcee AI releases Trinity Large Thinking, an open-source reasoning model with 262K context window, free via OpenRouter.

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DEV Community

A detailed review of Arcee's Trinity Large-Thinking model, highlighting its Apache 2.0 license, 96% cost savings vs Claude Opus, benchmark performance, and limitations.

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TechCrunch

Arcee AI released Trinity Large, a 400-billion-parameter open source foundation model trained in six months for $20 million, claiming it is among the largest open source foundation models ever released by a U.S. company. The model benchmarks comparably to Meta's Llama 4 Maverick under the Apache 2.0 license.

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VentureBeat

Arcee AI launched its Trinity family of open-weight models — Trinity Mini (26B parameters) and Trinity Nano Preview (6B parameters) — under the Apache 2.0 license. The models use Arcee's custom AFMoE architecture and are positioned as a U.S.-built alternative to Chinese open source AI models.

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Arcee AI

Arcee AI announced a new strategic funding round led by Prosperity7 Ventures and M12 (Microsoft's Venture Fund), with participation from Hitachi Ventures, Wipro, JC2 Ventures, Samsung Next, and Guidepoint CEO Albert Sebag.

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VentureBeat

Arcee AI released its AFM-4.5B foundation model as open weights on Hugging Face, allowing companies with under $1.75M in annual revenue to use it for free under a custom license. The 4.5-billion-parameter model is designed for enterprise use with strong compliance and customization features.

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VentureBeat

Arcee AI announced a $24M Series A led by Emergence Capital, alongside the launch of Arcee Cloud. The round came just six months after the companys $5.5M seed round.

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