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large language models

2,160 papers

#data science Open access Aug 2026

Gold Price Projections Under Macro-Financial Regime Uncertainty: A Structural Scenario Model for 2026-2030

Gold entered the second half of 2026 in an unusually unstable regime. The metal reached an LBMA benchmark high above US 5,500/oz in January, fell below US 4,000/oz in June, and rebounded to US 4,336.02/oz on 7 August after a weak U.S. employment report altered the expected interest-rate path. This paper develops an ori...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

The Synthetic Consensus Trap: Correlated AI Errors, Verification Overload, and the Mathematics of Institutional Epistemic Cascades

Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

The Synthetic Consensus Trap: Correlated AI Errors, Verification Overload, and the Mathematics of Institutional Epistemic Cascades

Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Can Democracy Survive in a Hyperconnected World?

This paper explores the complex and often contradictory relationship between hyperconnectivity and democracy. Drawing on novel theoretical frameworks inspired by quantum mechanics, network science, and temporal dynamics, we argue that the hyperconnected world is not simply an extension of the classical political landsc...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Can Democracy Survive in a Hyperconnected World?

This paper explores the complex and often contradictory relationship between hyperconnectivity and democracy. Drawing on novel theoretical frameworks inspired by quantum mechanics, network science, and temporal dynamics, we argue that the hyperconnected world is not simply an extension of the classical political landsc...

Kwan Hong TAN · 0 citations
#quantum computing Open access Aug 2026

Is Post-Truth a New Epistemic Condition or a Rhetorical Myth? A Multi-Perspective Analysis

The term “post-truth” has become a ubiquitous yet contentious descriptor of our contemporary socio-political landscape. This paper delves into the heart of the debate, examining whether post-truth represents a novel epistemic condition—a fundamental shift in how we know and what we believe—or if it is merely a rhetoric...

Kwan Hong TAN · 0 citations
#quantum computing Open access Aug 2026

Is Post-Truth a New Epistemic Condition or a Rhetorical Myth? A Multi-Perspective Analysis

The term “post-truth” has become a ubiquitous yet contentious descriptor of our contemporary socio-political landscape. This paper delves into the heart of the debate, examining whether post-truth represents a novel epistemic condition—a fundamental shift in how we know and what we believe—or if it is merely a rhetoric...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Is the Algorithm an Epistemic Agent? A Critical Analysis of Computational Epistemology and the Emergence of Algorithmic Agency

The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Is the Algorithm an Epistemic Agent? A Critical Analysis of Computational Epistemology and the Emergence of Algorithmic Agency

The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Does ChatGPT Undermine Human Epistemic Authority? A Multi-Dimensional Analysis of Artificial Intelligence's Challenge to Knowledge Systems

The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...

Kwan Hong TAN · 0 citations

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