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Introducing GPT-5.2

GPT-5.2 is our most advanced frontier model for everyday professional work, with state-of-the-art reasoning, long-context understanding, coding, and vision. Use it in ChatGPT and the OpenAI API to power faster, more reliable agentic workfl…

Strengthening cyber resilience as AI capabilities advance

OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.

OpenAI appoints Denise Dresser as Chief Revenue Officer

Denise Dresser is joining as Chief Revenue Officer, overseeing OpenAI’s global revenue strategy across enterprise and customer success. She will help more businesses put AI to work in their day-to-day operations as OpenAI continues to scal…

Qwen3-Omni-Flash-2025-12-01:声形意合,令出智随!

Qwen3-Omni是新一代原生全模态大模型,能够无缝处理文本、图像、音频和视频等多种输入形式,并通过实时流式响应同时生成文本与自然语音输出。我们引入了多种升级来提升模型表现和效率。 Qwen3-Omni-Flash-2025-12-01是在Qwen3-Omni基础上进行全面

The state of enterprise AI

Key findings from OpenAI’s enterprise data show accelerating AI adoption, deeper integration, and measurable productivity gains across industries in 2025.

SAPO:一种稳定且高性能的大语言模型强化学习方法

强化学习(Reinforcement Learning, RL)已经成为提升大语言模型(Large Language Models, LLM)推理能力的核心技术之一。现代 RL 训练流程使模型能够解决困难的数学问题、编写复杂代码和进行多模态推理。实践中,一种被广泛采用的方法是基于组的策略优化(group‑based policy optimization):对每个提示采样多个回复,并在组内进行奖励归一化。