OpenAI

The creator of OpenClaw is joining OpenAI to accelerate the development of user-friendly AI agents. While OpenClaw will transition to an independent foundation to ensure it remains open-source and community-driven, the founder will leverage OpenAI's research and resources to reach a global scale, focusing on building accessible and safe agentic technology.

OpenAI has reached a landmark agreement with the Pentagon to deploy advanced AI systems in classified environments. The partnership establishes strict "red lines" against mass domestic surveillance, autonomous weapons, and high-stakes automated decisions. Deployment is limited to cloud-only architecture with OpenAI-managed safety stacks and cleared personnel oversight to ensure ethical compliance.

This browser extension transforms the ChatGPT translation page into a fully functional, customizable chat interface by intercepting network requests. It allows users to override default settings by selecting specific models such as gpt-5-2 or gpt-5-2-thinking, and defining custom system and developer prompts. By intercepting /conversation requests at the network level, the extension modifies data before it reaches OpenAI servers. Key features include markdown rendering for code blocks, persistent settings via localStorage, and a dark-themed UI. The project emphasizes a developer-centric approach to exploring internal model capabilities through manual extension installation in Chrome.

Microsoft is increasingly integrating Anthropic's Claude Code into its internal workflows, even encouraging non-technical staff like designers and project managers to use the tool for prototyping. Despite owning GitHub Copilot, Microsoft is widely adopting Claude Code across core divisions responsible for Windows and Office, suggesting its superior ease of use for certain tasks. This shift highlights a strategic diversification in Microsoft's AI partnerships, as the company also counts Anthropic's model sales toward Azure quotas. Beyond developer tools, the report covers upcoming Xbox game releases, new data center plans in Wisconsin, and a technical preview of the GitHub Copilot SDK for various programming languages.

The article compares the high-speed LLM inference strategies of Anthropic and OpenAI. Anthropic achieves 2.5x speed via low-batch-size inference on original models, while OpenAI reaches 15x speed using Cerebras chips with a smaller, distilled model called Spark. The author discusses technical trade-offs between model capability, latency, and hardware constraints.