OpenAI Blog
Inside Genebench-Pro
Read the original on OpenAI Blog →The Flow has not summarised this story yet — read it at OpenAI Blog.
Related stories
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
Nov 25, 2025
Inside JetBrains—the company reshaping how the world writes code
JetBrains is integrating GPT-5 across its coding tools, helping millions of developers design, reason, and build software faster.
arXiv Machine Learning
Jun 2
Mos-Gen: A Generative Molecular Framework for Mosquito Insecticide Design
arXiv:2606. 01846v1 Announce Type: new Abstract: Mosquito-borne infectious diseases cause more than 700000 deaths worldwide each year.
arXiv AI
Jul 7
PDFBench: A Benchmark for De novo Protein Design from Function
arXiv:2505. 20346v3 Announce Type: replace-cross Abstract: Function-guided protein design is a crucial task with significant applications in drug discovery and enzyme engineering.
arXiv Machine Learning
Aug 4
Scikit-fingerprints: Python library for scikit-learn compatible molecular fingerprints and chemoinformatics
arXiv:2608. 02027v1 Announce Type: new Abstract: We present scikit-fingerprints, a comprehensive, fully scikit-learn compatible library for molecular machine learning in Python, based on RDKit.
arXiv Machine Learning
Jun 11
My Chemical Harness: Evolutionary Molecular Design over Synthetic Pathways with Large Language Model Agents
arXiv:2606. 11256v1 Announce Type: cross Abstract: Designing molecules with target properties is most useful when candidate structures are accompanied by feasible synthetic routes.