Using thousands of AI agents to uncover new leads in biological data

BrainPilot: Automating Brain Discovery with Agentic Research

arXiv:2607. 15079v1 Announce Type: new Abstract: Understanding the brain increasingly depends on integrating evidence across scales, modalities, and disciplines.

Research acceleration: The view inside OpenAI

The article discusses how coding agents are transforming AI research within OpenAI. It presents early data on agent usage, experiment velocity, task complexity, and the resulting acceleration of research. The piece highlights the growing role of these agents in speeding up development and experimentation.

Scientific computing in the age of agentic AI

A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.

Strengthening America’s AI leadership with the U.S. National Laboratories

OpenAI’s latest line of reasoning models will be used by nation’s leading scientists to drive scientific breakthroughs.

Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries

arXiv:2606. 10402v1 Announce Type: cross Abstract: Scientific discovery is often a collective process: researchers share partial results, inspect failed attempts, and build on each other's ideas over long time horizons.

Measuring how AI agents handle everyday wet-lab science

OpenAI introduces BioBasicsBench, a 100-task benchmark measuring how well AI agents interpret raw experimental data and handle everyday wet-lab science.

Measuring AI’s capability to accelerate biological research

OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation.

Team update

The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new software systems, or deploying machine learning on robots.

Consensus accelerates research with GPT-5 and Responses API

Consensus uses GPT-5 and OpenAI’s Responses API to power a multi-agent research assistant that reads, analyzes, and synthesizes evidence in minutes—helping over 8 million researchers accelerate scientific discovery.

Inside OpenAI’s in-house data agent

How OpenAI built an in-house AI data agent that uses GPT-5, Codex, and memory to reason over massive datasets and deliver reliable insights in minutes.

Ten years

OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.

AI Agents Are Here. What Now?