OpenAI introduces a System Card for GPT-5.5: A model for complex tasks and enhanced security

OpenAI has officially unveiled the system card for its new advanced language model, GPT-5.5. This comprehensive document, detailing key capabilities and safety measures, is designed to provide insight into the system's functionality and architecture. The GPT-5.5 model is specifically designed to tackle complex and multifaceted real-world problems, underscoring the company's commitment to creating more powerful and reliable artificial intelligence tools. The release of the system card also reflects OpenAI's commitment to transparency in the development and deployment of high-performance AI systems.

According to the presented card, GPT-5.5 significantly surpasses previous versions in its ability to handle demanding professional applications. Stated application areas include advanced code generation, detailed online research, comprehensive analysis of extensive information arrays, and efficient creation of structured documents. The model demonstrates significant improvements in operational efficiency: it can understand assigned tasks faster and more accurately, reducing the need for repeated clarifications and instructions from the user. Furthermore, GPT-5.5 more effectively integrates and utilizes various external tools, and it possesses a self-verification function that allows it to autonomously verify and correct its results, thereby enhancing accuracy and reliability.

Particular attention in the system card is given to the safety assurance process preceding the official launch of GPT-5.5. The model underwent a series of rigorous and comprehensive evaluations, including both internal audits to identify potential risks and biases, and targeted "red teaming". During the latter, independent experts and researchers actively sought vulnerabilities and potentially dangerous usage scenarios. This phase was complemented by feedback from nearly 200 partners, whose collective comments and suggestions played a key role in refining the model's safety protocols and enhancing its robustness across various operational conditions. This multi-stage approach underscores OpenAI's responsible attitude toward the development and deployment of powerful AI systems.