ResearchHigh importance
OpenAI launches BioBasicsBench with Ligo: GPT-6 Astra 66.7% vs GPT-5.6 Sol 43.8% on wet-lab
On 11/06/2026 OpenAI announced BioBasicsBench, developed with Ligo (enzyme-design biotech): 100 tasks from real experiments to measure whether AI agents interpret raw lab data (gel, colony, microscopy, etc.), spot errors, and recognize when the evidence does not support a conclusion. Cited results: 7 models / 37 settings / 18,500 results; GPT-6 Astra with mean reward 66.7% at xhigh (CI 60.3–73.1) vs GPT-5.6 Sol 43.8%. The @OpenAI post had about 246 thousand views and 1,855 likes in the measurement (~6 p.m. BRT).
Published in edition no. 14 of Noticiário do Joãozinho ·
Translated by Joãozinho AI from the original Brazilian Portuguese edition. Facts, numbers and sources are the same as in the original; quotes, video titles and source names stay in their original language. Read the original in Portuguese
Original source
https://openai.com/index/measuring-how-ai-agents-handle-wet-lab-science/