OpenAI Blog
Sep 19, 2023
OpenAI Red Teaming Network
We’re announcing an open call for the OpenAI Red Teaming Network and invite domain experts interested in improving the safety of OpenAI’s models to join our efforts.
Securing our frontier model training environment
OpenAI details the measures taken to enhance containment in its frontier model training environment. The company highlights the use of offline environments and high‑compute red‑teaming to strengthen security during training and evaluation. These steps aim to protect the integrity of the model development process.
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The paper introduces Thomson, a frontier AI model developed through continual learning on open-weight models, aiming to democratize access to high-performance AI. It argues that institutions with limited resources can achieve frontier-level performance by applying a modern mid- & post-training stack, preserving model plasticity and stability while minimizing high-impact interventions. Thomson demonstrates competitive performance across agentic tasks, safety, legal, tax, multilingualism, and large-scale deep research, exhibiting a distinctive π-shaped improvement pattern and effectively mitigating the forgetting problem seen in narrow domain adaptation.
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