OpenAI models make huge gains in modernizing decades-old software with 97.9% accuracy
Interesting Engineering
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OpenAI has significantly improved its models’ ability to write software in older programming languages and migrate existing code. Its latest results include 97.9 percent accuracy on a test designed to measure the migration of legacy programs. The improvements could help businesses modernize software that remains essential to daily operations. Banks and financial institutions still rely on decades-old code, making replacement risky when developers must preserve established calculations and business rules. Tackling legacy codeCOBOL remains deeply embedded in financial infrastructure. IBM estimates that it supports more than 40 percent of online banking systems, 80 percent of in-person credit card transactions, and 95 percent of ATM transactions. Fortran also remains important in scientific computing, including weather forecasting and nuclear reactor safety analysis.
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