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How Fanatics and OpenAI streamline the fan experience

Fanatics uses OpenAI to help fans complete their game-day outfits with Shop the Look. Testing across roughly 30,000 MLB products showed 10% higher engagement.

How Ultrafast cut incident investigation from hours to minutes at OpenAI

See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.

Introducing GPT-6.1 Terra

Bringing fast and capable computer use to everyone

Securing our frontier model training environment

OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.

Does Your Model Run on AWS Trainium? Look It Up

Anima helps clinics cut call waits by 75% with GPT-6 and GPT-Live

Anima expands what care teams can do with OpenAI models, giving them more capacity to respond to patients.

Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox

Ensemble forecasting with IBM Granite time-series models

NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required

How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications

Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.

How to continue a GitHub Copilot app session in VS Code

Learn how to move an agent session from the GitHub Copilot app into VS Code without losing the conversation, code changes, or working context. The post How to continue a…

Introducing Clairic, a new System One class of extraction models

Clairic is a new model from Cloudflare that is a System One extraction modeI, capable of extracting, computing, estimating, and forecasting data from unstructured inputs.

Cloudflare and OpenAI: Making AI discovery better for everyone

How Cloudflare and OpenAI are working together to help AI find useful content, keep up with changes, and make fewer wasted requests — making the experience better for…

GitHub’s model for secret detection: Finding more secrets with less noise

GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%. The post…

GitHub Copilot app for Beginners: How to teach Copilot about your codebase

Learn how to add custom instructions and skills to your repository, use custom agents, and connect MCP servers like Playwright. The post GitHub Copilot app for…