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Wednesday

  1. Story1 reports · 1 facts

    OpenAI says GPT-Rosalind offers new leads for neurodegenerative disease drug discovery

    On October 21, 2026, OpenAI said that GPT-Rosalind proposed new leads in drug discovery: after the DCTN1 gene associated with Perry syndrome was disrupted, the expression of genes related to cholesterol synthesis increased in mouse brain data, and the model inferred from this that cholesterol may not reach the locations neurons require. OpenAI said that, in collaboration with Perturb Bio and Scripps Research, thousands of GPT-Rosalind agents worked in parallel to link gene expression results from millions of mouse brain cells with scientific literature within 32 minutes, and said it is expanding this collaboration to find new drug targets. Other reports said that the work aggregated the reports of individual agents into a public reasoning graph, and that a companion preprint was released on bioRxiv on October 16, 2026, and has not yet undergone peer review.

    On October 21, 2026, OpenAI said that GPT-Rosalind proposed new leads in drug discovery: after the DCTN1 gene associated with Perry syndrome was disrupted, the expression of genes related to cholesterol synthesis increased in mouse brain data, and the model inferred from this that cholesterol may not reach the locations neurons require. OpenAI said that, in collaboration with Perturb Bio and Scripps Research, thousands of GPT-Rosalind agents worked in parallel to link gene expression results fro

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  2. FactRelated story

    OpenAI says GPT-Rosalind proposes new leads for neurodegenerative disease drug discovery

    On October 21, 2026, OpenAI said that GPT-Rosalind proposed new leads in drug discovery: after the DCTN1 gene associated with Perry syndrome was disrupted, the expression of genes related to cholesterol synthesis increased in mouse brain data, and the model inferred from this that cholesterol may not reach the locations neurons require. OpenAI said that, in collaboration with Perturb Bio and Scripps Research, thousands of GPT-Rosalind agents worked in parallel to link gene expression results from millions of mouse brain cells with scientific literature within 32 minutes, and said it is expanding this collaboration to find new drug targets. Other reports said that the work aggregated the reports of individual agents into a public reasoning graph, and that a companion preprint was released on bioRxiv on October 16, 2026, and has not yet undergone peer review.

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    View story:OpenAI says GPT-Rosalind offers new leads for neurodegenerative disease drug discovery

Tuesday

  1. Story1 reports · 1 facts

    OpenAI Says Latest Model Improves Capabilities in Low-Resource Programming Languages

    On October 20, 2026, OpenAI said its latest model has enhanced software building and migration capabilities in low-resource programming languages such as COBOL, Fortran, and Visual Basic. OpenAI said these languages underpin systems that banks, governments, and enterprises rely on, and that the progress means the model can understand decades of business logic, helping developers modernize systems without breaking the parts that already work. OpenAI also said it is building these capabilities around the challenges raised by developers and enterprise customers, and is soliciting team feedback on which languages and workflows to address next. On the same day, another report said OpenAI released a programming model, GPT-6 Astra, for legacy programming languages such as COBOL, Fortran, and Visual Basic, and said the model has been made available to developers through the OpenAI API for programming tasks in COBOL, Fortran, OCam, and Visual Basic; the report also provided score data for two evaluations, MultiLangBench and COBOL migration. The above evaluation figures come from that media report; OpenAI's official statement did not mention specific model names or scores.

    On October 20, 2026, OpenAI said its latest model has enhanced software building and migration capabilities in low-resource programming languages such as COBOL, Fortran, and Visual Basic. OpenAI said these languages underpin systems that banks, governments, and enterprises rely on, and that the progress means the model can understand decades of business logic, helping developers modernize systems without breaking the parts that already work. OpenAI also said it is building these capabilities aro

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Sunday

  1. FactRelated story

    OpenAI says latest model improves capabilities in low-resource programming languages

    On October 20, 2026, OpenAI said its latest model has enhanced software building and migration capabilities in low-resource programming languages such as COBOL, Fortran, and Visual Basic. OpenAI said these languages underpin systems that banks, governments, and enterprises rely on, and that the progress means the model can understand decades of business logic, helping developers modernize systems without breaking the parts that already work. OpenAI also said it is building these capabilities around the challenges raised by developers and enterprise customers, and is soliciting team feedback on which languages and workflows to address next. On the same day, another report said OpenAI released a programming model, GPT-6 Astra, for legacy programming languages such as COBOL, Fortran, and Visual Basic, and said the model has been made available to developers through the OpenAI API for programming tasks in COBOL, Fortran, OCam, and Visual Basic; the report also provided score data for two evaluations, MultiLangBench and COBOL migration. The above evaluation figures come from that media report; OpenAI's official statement did not mention specific model names or scores.

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    View story:OpenAI Says Latest Model Improves Capabilities in Low-Resource Programming Languages

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