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Base Labs partners with Hugging Face and Goodfire to launch open-weight AI safety standard

Base Labs, the research arm of AI inference provider Baseten, announced a new safety‑infrastructure standard for open‑weight models in partnership with Hugging Face and Goodfire AI. The trio aims to create evaluation and monitoring tools that are built into model training and deployment, rather than added after release. The move comes as the community grapples with “abliteration,” a technique…

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Key points

  • Base Labs, Hugging Face, and Goodfire AI launch a safety‑infrastructure standard for open‑weight models.
  • Hugging Face hosts over 6,000 abliterated models that have had safety safeguards removed.
  • Baseten raised a $1.5 B Series F, valuing it at $13 B; Goodfire raised $150 M Series B.

Baseten, which raised a $1.5 billion Series F in June valuing the company at $13 billion, said openness can actually aid safety by giving researchers visibility into model behavior and enabling transparent controls. Goodfire, a specialist in model interpretability, is expected to supply the “built‑in” safety components. The partnership also includes an open call for developers to contribute to the framework, aiming to build an ecosystem of safe, accessible open models.

Goodfire AI recently secured a $150 million Series B led by B Capital to expand its interpretability platform, underscoring growing investor interest in AI safety infrastructure.

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  1. Base Labs partners with Hugging Face and Goodfire to launch open-weight AI safety standardthis story
Full story fromTechCrunch AI · by Russell BrandomOpen source ↗

Base Labs launches an open-weight AI safety partnership with Hugging Face and Goodfire

TechCrunch AI · 17 September 2026

Baseten launched a new safety infrastructure standard alongside its Base Labs research arm on Wednesday, partnering with Hugging Face and Goodfire AI to build safety evaluation and monitoring infrastructure for open-weight models.

The announcement lands amid debate for the safety of open-weight models — which can be made dangerous by removing their safeguards through a rising technique known as abliteration. The scale of the problem is massive: Hugging Face, which hosts open-source AI models, currently lists over 6,000 abliterated models.

Base Labs, the research group Baseten spun up earlier this year, will develop and publish methods for training and monitoring open models. The company is framing their future work as a “standard” for open models that is transparent and built into how models are trained and deployed, rather than bolted on afterward.

“We believe openness to be an advantage for AI safety,” the company said on X. “Openness provides more visibility into the behavior of models and, most importantly, greater means of turning safety research into actionable and transparent controls than closed-source.”

The companies haven’t disclosed how the partnership will work technically, though Goodfire framed the goal in a reply to Baseten’s post: “Safety must be built into open models and provided by those who serve them.” Goodfire, which specializes in opening AI’s “black box” to explain how models make decisions, is the likeliest candidate for the “built into” part.

Baseten, an AI inference provider, raised a $1.5 billion Series F in June, vaulting its valuation to $13 billion. Partner Goodfire AI is similarly well-capitalized, having raised a $150 million Series B led by B Capital earlier this year to advance its model interpretability platform.

Looking ahead, Baseten is putting out an open call to the broader developer ecosystem to contribute to the framework. “Together, we are building an ecosystem of open models that are safe and accessible to all,” the company noted.

This text was published by TechCrunch AI and written by Russell Brandom. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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BasetenBase LabsHugging FaceGoodfire AIB Capital

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