I. INTRODUCTION  

II. BACKGROUND: EVOLUTION OF GENERATIVE AI  

III. THE CURRENT GENERATIVE AI RESEARCH TAXONOMY  

IV. INNOVATIVE HORIZON OF MOE  

V. SPECULATED CAPABILITIES OF Q*  

VI. PROJECTED CAPABILITIES OF AGI  

VII. IMPACT ANALYSIS ON GENERATIVE AI RESEARCH TAXONOMY  

VIII. EMERGENT RESEARCH PRIORITIES IN GENERATIVE AI  

IX. PRACTICAL IMPLICATIONS AND LIMITATIONS OF GENERATIVE AI TECHNOLOGIES  

X. IMPACT OF GENERATIVE AI ON PREPRINTS ACROSS DISCIPLINES  

XI. CONCLUSIONS