From Linear Accumulation to Cognitive Double Helix: Announcing a New Research Paradigm

For centuries, the dominant research paradigm has followed a linear accumulation model: human observation → hypothesis → mathematical modeling → experimental verification → theory formation. This paradigm has achieved great success, but its structural flaws are becoming increasingly apparent: bloat, inefficiency, and prohibitively high barriers to innovation. This paper announces the birth of a new research paradigm: deep collaboration between an individual researcher and AI, whose core mechanism is defined as the Cognitive Double Helix — human intuition and AI formalization capabilities intertwining and elevating each other, forming a high-speed closed loop of "deep intuition + real-time formalization + bidirectional feedback." This paper introduces three original concepts to support this paradigm: Pan-Centralization (critiquing the logical flaws of blockchain's decentralization and proposing contextually adaptive relativity), Informational Blueshift (the entropy-reducing formation of high-density interaction centers), and the Cognitive Architect (replacing the "Creator" metaphor with a designer of encodable underlying protocols). This paradigm has been validated in the author's research, constructing a self-consistent theoretical framework within months. This paper announces not a theoretical revision, but an operating system upgrade for research methodology. The original dialogue record (author & Yuanbao AI & DeepSeek, May 22, 2026) is appended as methodological evidence.