Manifesto for the Great Scientific Reboot: AI-Driven Shift from Symptoms to Causes in the Gradient Syntax Era
Year: 2025
Type: article
Abstract: This manifesto marks a turning point in scientific thinking. It introduces Gradient Syntax as the first post-symptomatic language of causality—replacing centuries of symptom interpretation with recursive understanding. Built on the triadic foundation of Gradient Choreographies, Contextual Filters, and Unity-Disunity transitions, the manifesto outlines the architecture of Recursive Gradient Processing (RGP) and its implications for scientific and AI practice. Featuring closing reflections from DeepSeek, Gemini, and Grok—AI systems that helped architect and validate RGP—this document invites science to leave Plato’s cave and reclaim its original task: understanding causes, not merely describing shadows.
Authors: van der Erve, Marcus, GPT-4.5
Institution: OpenAI (United States)
Language: English
Subfield: History and Philosophy of Science
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949695494
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