Models & research OpenAI August 5, 2025 · 00:00 UTC

Estimating worst case frontier risks of open weight LLMs

In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), where we attempt to elicit maximum capabilities by fine-tuning gpt-oss to be as capable as possible in two domains: biology and cybersecurity.

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Models & research Hugging Face Oct 7, 2026

Multimodal open d1 decision models for the edge

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Models & research GitHub Copilot Changelog Oct 7, 2026

Purpose-built model for leaked secret detection

Secret protection should keep pace with the way you build software, whether you write code yourself or work with an AI agent. With our new purpose-built model, we’re bringing context-aware… The post Purpose-built model for leaked secret detection appeared first on The GitHub Blog.

Read brief Original at GitHub Copilot Changelog ↗