Authors

Herbert Wanga

Department of Mathematics and Information Technology, University of Iringa, Iringa, Tanzania

Abstract

The world of AI is talking, and models like OpenAI's GPT-4 are leading the conversation with an astonishing grasp of language. But behind its impressive performance lies a contradiction: the very innovations that make GPT-4 so capable also make it surprisingly fragile. It can struggle with opaque reasoning, invent facts, and amplify biases. This article takes a critical look at how GPT-4 is built, how it compares to rivals like Google's Bard, and its real-world impact in fields like education and healthcare. This article argues that its true potential is only unlocked with strong human oversight. Ultimately, the next breakthrough won't come from making AI bigger, but from making it more understandable, fair, and trustworthy.

Keywords

GPT-4 Large Language Models AI Ethics Mixture-of-Experts Multimodal AI Responsible AI

Citation of this Article

Herbert Wanga. (2025). The GPT-4 Paradox: Navigating the Gap between Capability and Trustworthiness in Conversational AI. International Current Journal of Engineering and Science (ICJES), 4(10), 1-4. Article DOI: https://doi.org/10.47001/ICJES/2025.410001

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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