Reflections on artificial intelligence, low-level model mechanics, high-leverage agent architectures, and navigating the modern software engineering paradigm shift.
Why Data Science welcomes diverse professions to investigate domain mysteries horizontally, while Artificial Intelligence demands core CS/IT engineering to forge the machine vertically.
Ever notice how Data Science job postings welcome economists and biologists, while AI roles demand deep CS/IT engineering foundations? It is not arbitrary HR gatekeeping. They represent two perpendicular axes of technical intellect: The Detective vs. The Blacksmith.
September 5, 2026 • By Thong Truong
Ever notice how Data Science job postings welcome economists and biologists, while AI roles demand deep CS/IT engineering foundations? It is not arbitrary HR gatekeeping. They represent two perpendicular axes of technical intellect: The Detective vs. The Blacksmith.
August 12, 2026 • By Thong Truong
When I first enrolled in AIO 2026, my goal was purely technical: master the math and train models from scratch. But diving into AI made me see the software industry through a completely new lens - understanding why selling developer hours is being commoditized and where true value is moving.
July 30, 2026 • By Thong Truong
To be completely honest, I spent months feeling skeptical about the AI hype. Aren't we all just calling external APIs and gluing JSON strings together? Here is how peeling back the abstraction layers changed my perspective.