OpenAI华人科学家离职创业，要做AI4S“卖水人”！瞄准千亿美元市场
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TL;DR - Former OpenAI researcher Andrew Ho is launching a startup supplying verifiable, multimodal reinforcement-learning datasets for AI-for-science, initially targeting biology and statistics. The effort addresses weak training data that can limit scientific AI systems.
- The startup plans to create questions with known ground-truth answers rather than poorly specified bioinformatics tasks.
- Its datasets will incorporate experimental modalities such as cell-culture and protein-electrophoresis images.
- The approach builds on GeneBench-Pro, a benchmark spanning 129 problems across 10 computational-biology domains and 21 subdomains.
- Ho expects the model to expand into chemistry, materials science, and medicine.
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OpenAI华人科学家离职创业，要做AI4S“卖水人”！瞄准千亿美元市场
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TL;DR - Former OpenAI researcher Andrew Ho is launching a startup supplying verifiable, multimodal reinforcement-learning datasets for AI-for-science, initially targeting biology and statistics. The effort addresses weak training data that can limit scientific AI systems.
- The startup plans to create questions with known ground-truth answers rather than poorly specified bioinformatics tasks.
- Its datasets will incorporate experimental modalities such as cell-culture and protein-electrophoresis images.
- The approach builds on GeneBench-Pro, a benchmark spanning 129 problems across 10 computational-biology domains and 21 subdomains.
- Ho expects the model to expand into chemistry, materials science, and medicine.