From Information to Intelligence: How AI Will Redefine Production

Wu Hanqing, an Alibaba researcher known as "Little Black" or "Dao Ge", shares his personal reflections after years of low‑profile work in security and AI.

He denounces false news about himself, emphasizing that his real contributions are his technical achievements, not personal fame.

He outlines five stages of productivity: physical labor, mechanization, electrification, information, and intelligence, arguing that each technological leap frees production.

He draws an analogy between cloud computing infrastructure and a central power plant, noting that the "light bulb" for intelligent applications is still missing.

He distinguishes "information systems" (human‑driven data entry) from "intelligent systems" that automate tasks, and argues that true value lies in the latter.

He warns that the industry currently over‑focuses on perception (vision, speech) and neglects action, leading to fragmented solutions.

He proposes that every enterprise should have its own "intelligent department" (the "pilot") and that a shared "airport" platform will provide services to machine‑intelligence systems.

He stresses the need for machine‑to‑machine collaboration, standardized communication languages, and autonomous coordination without human intervention.

He concludes that building a complete intelligent system will require decades of collective effort, similar to past information‑technology revolutions.