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BioBasicsBench: OpenAI and Ligo test agents on messy wet-lab evidence

OpenAI and biotech company Ligo released a 100-task benchmark that tests whether AI agents can interpret messy wet-lab evidence: gel images, colony plates, microscopy and instrument outputs.

new launchagents · frameworksJEV traction 0.37added 2026-11-07
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Why it matters

The first benchmark that grades agents on real laboratory evidence rather than clean text: GPT-6 Astra scored 66.7% mean reward at xhigh effort against 43.8% for GPT-5.6 Sol, with no human baseline published.

What you could build with it

A biotech startup could run its lab-assistant agent through BioBasicsBench before letting it near real experiments, using the 100 tasks as a regression suite for every model or prompt change.

Does it hold up?

Too early to judge: released 6 Nov as a research evaluation; OpenAI itself cautions that stronger scores do not make an agent reliable enough to replace scientific judgment.

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First spotted on article: source.

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