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A 60-year-old programming language just became the center of the biggest AI coding leap of the year — and it’s not Python or JavaScript. OpenAI’s new model went from a 5% score to 86% on a test most people have never heard of, and the jump matters for way more than old code. Here’s what actually changed, why languages like COBOL and Fortran suddenly matter, and what it means if you’re building with AI.
00:00 Intro – the 1960s language behind this year's biggest AI coding leap
00:52 What "low-resource languages" are – COBOL, Fortran, and why they run banking, ATMs, and payments
02:05 The COBOL migration test – rewriting old code so it behaves identically
02:20 The result – 5% → 86% (and up to ~98% on higher settings)
04:22 Second test – building a database engine across 20 languages
05:57 The catch – why this isn't production-ready yet
Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about
Get a FREE AI Course + Community + 1,000 AI Agents 👉https://www.skool.com/ai-seo-with-julian-goldie-1553/about
Free GEO & AI SEO Checklist! https://orders.goldie.agency/signup
Get a FREE GEO + AEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian
Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts?utm=julian
Get our free SEO Link Building Book here: https://go.juliangoldie.com/opt-in?utm=julian
A 60-year-old programming language just became the center of the biggest AI coding leap of the year — and it’s not Python or JavaScript. OpenAI’s new model went from a 5% score to 86% on a test most people have never heard of, and the jump matters for way more than old code. Here’s what actually changed, why languages like COBOL and Fortran suddenly matter, and what it means if you’re building with AI.
00:00 Intro – the 1960s language behind this year's biggest AI coding leap
00:52 What "low-resource languages" are – COBOL, Fortran, and why they run banking, ATMs, and payments
02:05 The COBOL migration test – rewriting old code so it behaves identically
02:20 The result – 5% → 86% (and up to ~98% on higher settings)
04:22 Second test – building a database engine across 20 languages
05:57 The catch – why this isn't production-ready yet