AI Energy & Climate

PyTorch Adopts Safetensors to Secure AI Model Ecosystem

The PyTorch Foundation integrates the Hugging Face format to prevent code execution risks in the open-source AI stack.

By Kronos Digital News Desk··1 min read
A conceptual digital art piece of a security shield overlaying a glowing blue artificial intelligence neural network, representing data safety.

A conceptual digital art piece of a security shield overlaying a glowing blue artificial intelligence neural network, representing data safety.

Photo: Kronos Digital News

The PyTorch Foundation officially announced Safetensors as its newest hosted project to improve security for open-source artificial intelligence [1]. Developed by Hugging Face, Safetensors serves as a secure format for storing and loading tensors [2]. This move aims to protect the global AI ecosystem from vulnerabilities common in older distribution methods [3]. The format prevents arbitrary code execution, a major risk found in previous serialization tools like Python’s "pickle" [1]. By adopting this standard, the Linux Foundation and PyTorch prioritize safety for developers sharing models [2]. This change ensures that large-scale model weights remain tamper-proof during the transfer process [3].

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Kronos Digital News Desk covers ai energy & climate and editorial analysis for Kronos Digital News.