Amin Vahdat has been promoted to chief technologist for AI infrastructure, a newly created position reporting directly to CEO Sundar Pichai.
The letter demanded companies institute new safeguards to keep users safe from harmful psychological impacts.
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
Discover how Podium used OpenAI’s GPT-5 to build “Jerry,” an AI teammate driving 300% growth and transforming how Main Street businesses serve customers.
GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.
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 workflows.
Disney and OpenAI have reached an agreement to bring more than 200 Disney, Marvel, Pixar and Star Wars characters to Sora for fan-inspired short videos. The agreement emphasizes responsible AI in entertainment and includes Disney’s company-wide use of ChatGPT Enterprise and the OpenAI API.
Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source command line coding assistant that runs inside the terminal or IDEs that support the Agent Communication Protocol. https://mistral.ai/news/devstral-2-vibe-cli Devstral 2 and Devstral Small 2, model sizes, context and benchmarks Devstral 2 is a 123B parameter dense transformer with a 256K token context window. It reaches 72.2 percent on SWE-bench Verified, which places it among […]
Data leakage is an often accidental problem that may happen in machine learning modeling.
