OpenAI's gpt-5.6 sol (Pro) topped the benchmark at 31.5%.
We’re introducing GeneBench-Pro, a research-level benchmark for a harder kind of AI progress: how well agents can navigate messy biological data, choose the right analysis path, and make judgment calls that real computational research depends on. https://openai.com/index/introducing-genebench-pro/
Users expressed optimism about OpenAI's GeneBench-Pro benchmark for AI biological research agents because they believe AI will save humanity in the future.
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GeneBench-Pro is a benchmark for testing whether AI agents can do realistic computational biology work and not just answer biology questions
It gives models messy research-style problems: inspect data, catch bad samples, choose the right analysis, revise assumptions, and produce a defensible conclusion
We’re introducing GeneBench-Pro, a research-level benchmark for a harder kind of AI progress: how well agents can navigate messy biological data, choose the right analysis path, and make judgment calls that real computational research depends on. https://openai.com/index/introducing-genebench-pro/
@reach_vb I believe that AI will save humanity in the future.
@reach_vb How do GPT Pro models differ from normal GPT models? Is it just fanning out N concurrent normal GPT models and aggregating their results?
