The Digital Press

A seasoned AI implementer shares insights from seven years of turning AI research into practical tools, emphasizing AI’s role as a feature rather than a standalone product and highlighting the current plateau in large language model (LLM) improvements.

Why it matters: AI excels when integrated subtly as a tool solving complex problems, not marketed as flashy standalone products.

The big picture: LLMs have matured enough for practical use; future gains will focus on efficiency, accessibility, and smaller, open models.

The stakes: Junior engineers risk stagnating skills as AI handles problem-solving, increasing reliance on senior expertise for quality oversight.

Commenters say: Readers appreciate the realistic view on AI’s limitations, value internal tools’ productivity boost, and call for better user education on AI use.