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OpenAI Models Boost Legacy Migration

OpenAI says its latest model improves on low-resource languages like COBOL, Fortran and Visual Basic, helping developers modernize legacy bank and government systems.

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Key points

  • OpenAI says its latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic.
  • OpenAI says these languages power software that banks, governments, and businesses depend on, and that progress means understanding decades of business logic and helping developers modernize those systems while preserving what works.
  • OpenAI invites teams working on these systems to tell it which languages and workflows it should tackle next.

Key points and the reaction summary are written by AI from the posts on this page. Check the original post. How we use AI

Original post

OpenAI @OpenAI 5.5M followers

Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic. These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works. We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next. https://t.co/2TbnkQixJ1
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Reaction on X: Replies are mostly skeptical or joking: the top-liked comment jokes about moving savings under a mattress over banks running on "vibe coded COBOL," and another calls the post a letdown. One reply notes Fortran still underpins weather and physics codes and that a model able to read it matters more than people think; another asks OpenAI to release the weights of the 4- and o-series. The original poster did not respond.

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From @Uncle_Joe_Gamer, @bughuntergeek, @glucapav and others. Spam removed, with English and Chinese translations.

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