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OpenAI is utilizing automated red teaming and reinforcement learning to proactively identify and patch prompt injection vulnerabilities in ChatGPT Atlas. This is critical for the stability and security of AI agents interacting with browser environments.
OpenAI presents a framework for monitoring internal chain-of-thought reasoning in AI models. The research indicates that observing internal reasoning is more effective for scalable control than monitoring final outputs alone.
OpenAI released a system card addendum for GPT-5.2-Codex, detailing the technical specifications and safety evaluations for the coding-specialized model variant.
OpenAI released GPT-5.2-Codex, featuring advanced long-horizon reasoning and large-scale code transformation capabilities. It specifically targets complex software engineering tasks and cybersecurity enhancements.
OpenAI has launched a directory for ChatGPT apps, allowing developers to submit their tools for review and publication. An updated Apps SDK and new guidelines are provided to help build chat-native experiences with real-world actions.
OpenAI introduces a new evaluation framework to measure AI's impact on biological wet-lab research. The study utilizes GPT-5 to optimize molecular cloning protocols, highlighting both potential efficiency gains and safety risks.
OpenAI has launched an upgraded image generation model for ChatGPT and the API as GPT-Image-1.5. The new model offers faster generation speeds (up to 4x) and improved precision in edits and consistency.
OpenAI detailing the rapid development of Sora for Android using Codex. Highlights how AI-assisted planning and parallel coding accelerated the shipping timeline to just 28 days.
Introduction of GPT-5.2, OpenAI's most capable model for mathematics and science. The model achieves new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath.
OpenAI has released GPT-5.2, a frontier model optimized for professional work. It features significant improvements in reasoning, coding, and vision to support more reliable agentic workflows via API and ChatGPT.
OpenAI and Disney have partnered to bring over 200 iconic characters to Sora for fan-inspired short videos. The deal also includes the adoption of ChatGPT Enterprise and the OpenAI API across Disney's company.
OpenAI has co-founded the Agentic AI Foundation under the Linux Foundation, donating the AGENTS.md standard. This initiative aims to establish open, interoperable standards for the safe development and deployment of agentic AI systems.
OpenAI researchers are exploring 'confessions' as a method to train models to admit mistakes. This approach aims to enhance AI honesty and transparency, potentially reducing hallucinations in production environments.
JetBrains is integrating GPT-5 across its IDEs and coding tools. This enables deeper reasoning and architectural design capabilities directly within the developer's workflow.
OpenAI showcases GPT-5's capabilities in solving complex optimization theory problems in collaboration with UCLA. This highlights the model's evolving role in accelerating formal mathematical research and discovery.
OpenAI shares initial research on GPT-5's ability to accelerate scientific discovery in math, physics, and biology. This signals a shift toward high-reasoning capabilities specifically tuned for complex scientific proof and insight generation.
OpenAI released the system card for GPT-5.1-Codex-Max, detailing safety mitigations for harmful tasks and prompt injections. Key technical highlights include agent sandboxing and configurable network access to secure model execution.
OpenAI introduces GPT-5.1-Codex-Max, a high-performance agentic coding model designed for large-scale project work. It features improved reasoning and token efficiency for long-running development tasks.
OpenAI explores mechanistic interpretability using a sparse model approach to decode how neural networks reason. This research aims to increase transparency in AI decision-making and improve system reliability and safety.
OpenAI releases GPT-5.1 with enhanced adaptive reasoning, improved coding performance, and extended prompt caching. New apply_patch and shell tools provide deeper agentic control for developers.