ChatGPT-5's Epistemological Grounds: Dialogues in the Platonic Cloud

Abstract

This essay explores the epistemological status and potential of freely accessible to the general public ChatGPT-5 within a dialogical philosophical framework. It critiques the polarised views on Large Language Models (LLMs), distinguishing between the ‘apocalyptic’ perspective, which emphasises their limitations, and the ‘integrated’ view, which celebrates their capabilities. Both viewpoints overlook the crucial role of human involvement and risk anthropomorphising LLMs, as their outputs stem from algorithmic processes rather than true understanding. By engaging ChatGPT-5 in dialogues and fictional scenarios, we examine its ability to assist in Scientific Knowledge Generation (SKG). The model effectively recombines concepts and suggests hypotheses, but its performance heavily relies on human guidance and the quality of its training data. The findings indicate that while LLMs may facilitate incremental innovations, they cannot independently generate groundbreaking discoveries. LLMs should be seen as epistemic partners within larger human-machine systems that include cultural, technological, and ideological contexts. They can enhance discovery and interdisciplinary integration, but human judgment remains essential for ethical oversight and empirical evaluation. We advocate for studying the interplay of Human and Artificial Intelligence in SKG, urging a balanced approach that values both human responsibility and the capabilities of LLMs, rather than adopting extreme views.