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 how AI agents handle everyday wet-lab science
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OpenAI Blog
Dec 16, 2025
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.
OpenAI Blog
Apr 2, 2025
PaperBench: Evaluating AI’s Ability to Replicate AI Research
We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research.
OpenAI Blog
Sep 6
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.
OpenAI Blog
May 12, 2025
Introducing HealthBench
HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.
Hugging Face Trending Papers
Aug 10
Automating and Scaling Behavioral Scientific Research on AI Agents
As AI agents are increasingly deployed in complex environments, understanding their behaviors becomes critical. Yet behavioral scientific research on AI agents remains manual and labor-intensive.
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.
OpenAI Blog
Apr 10
Applications of AI at OpenAI
Explore how OpenAI products like ChatGPT, Codex, and APIs bring AI into real-world use for work, development, and everyday tasks.
OpenAI Blog
Oct 21
Using thousands of AI agents to uncover new leads in biological data
OpenAI, PerturbAI, and Scripps Research employed distributed AI agents to analyze data from millions of brain cells, uncovering promising research leads. The collaboration leveraged thousands of AI agents to sift through vast biological datasets, identifying new insights that could advance neuroscience research.
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.
arXiv AI
Aug 12
Automating and Scaling Behavioral Scientific Research on AI Agents
arXiv:2608. 10030v1 Announce Type: new Abstract: As AI agents are increasingly deployed in complex environments, understanding their behaviors becomes critical.
OpenAI Blog
Jul 28
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.