Making AI Headlines · Page 3
GPT-6 Studies the Languages That Never Retired
· New York time
OpenAI says its latest models perform substantially better on programming languages such as COBOL, Fortran and Visual Basic. On its new MultiLangBench, GPT-6 Astra achieved an 87.4 percent test pass rate across 20 languages, compared with about 38 percent for GPT-5.6 Terra. The improvement targets a practical problem: organizations do not replace important software simply because its language has stopped appearing on fashionable conference merchandise. Older systems can remain central to operations long after the people who first built them have moved on. Better assistance could help developers understand and maintain that code. But a benchmark result is not a guarantee that an entire migration will work. Real systems include dependencies, business rules and accumulated exceptions that rarely fit neatly into a test question. The opportunity is less about making old languages trendy than making essential maintenance less difficult. That is a respectable ambition in an industry that often treats maintenance as the interval between launch announcements. The future of coding may therefore include a machine patiently learning the past. Somewhere, a decades-old program can finally enjoy the satisfaction of watching a cutting-edge model prepare for an exam it has been administering since before the internet became popular.
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