OpenAI Blog
Dec 16, 2025
Evaluating AI’s ability to perform scientific research tasks
OpenAI introduces FrontierScience, a benchmark testing AI reasoning in physics, chemistry, and biology to measure progress toward real scientific research.
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.
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OpenAI Blog
Nov 20, 2025
Early experiments in accelerating science with GPT-5
OpenAI introduces the first research cases showing how GPT-5 accelerates scientific progress across math, physics, biology, and computer science. Explore how AI and researchers collaborate to generate proofs, uncover new insights, and reshape the pace of discovery.
OpenAI Blog
Jul 29
Accelerating scientific discovery with ChatGPT for Academic Researchers
OpenAI is giving 100,000 academic researchers free access to ChatGPT's most advanced AI models to accelerate scientific research, collaboration, and discovery.
arXiv AI
Jun 19
Measuring Biological Capabilities and Risks of AI Agents
arXiv:2606. 19899v1 Announce Type: cross Abstract: This paper addresses a rapidly emerging policy challenge: how to generate and interpret credible evidence about the biological capabilities and risks of AI scientists, or agentic AI systems capable of autonomously or collaboratively performing multi-step scientific tasks.
OpenAI Blog
Aug 22, 2025
Accelerating life sciences research
Discover how a specialized AI model, GPT-4b micro, helped OpenAI and Retro Bio engineer more effective proteins for stem cell therapy and longevity research.
OpenAI Blog
Oct 23, 2025
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.
arXiv AI
Jun 10
ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
arXiv:2606. 11150v1 Announce Type: new Abstract: Large language models (LLMs) are rapidly acquiring capabilities relevant to biological research, from literature synthesis to interpretation of experimental data.
OpenAI Blog
Jun 30
Introducing GeneBench-Pro
Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.
arXiv AI
Jun 30
Accelerating scientific discovery with Co-Scientist
arXiv:2502. 18864v2 Announce Type: replace Abstract: Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation.
OpenAI Blog
Jun 17
A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
OpenAI and Molecule. one show how a near-autonomous AI chemist using GPT-5.
OpenAI Blog
Jan 30, 2025
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.
arXiv AI
Aug 19
Traceable Trust for action-ready artificial intelligence in bioscience
The article introduces Traceable Trust, a framework designed to guide the transition from AI-generated outputs to laboratory actions in bioscience. It outlines a reviewable process that evaluates evidence, claimed capabilities, delegated agency, action thresholds, override mechanisms, and feedback loops. Three case studies demonstrate how the framework can document trust as AI outputs influence scientific work.