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Whether Google Gemini 2.5 Pro Relies on Recursive Gradient Processing: A Brief Dialogue

Year: 2025

Type: article

Abstract: A documented dialogue between Marcus van der Erve and Google Gemini 2.5 Pro exploring whether AI generation mirrors the principles of Recursive Gradient Processing (RGP). The exchange covers PoLA, Gradient Choreographies, Contextual Filters, and Unity–Disunity dynamics, and includes an analytical conclusion.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15489210

Author: van der Erve, Marcus

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6968611571

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