Can a generative AI model perform critical discourse analysis at a level comparable to a trained scholar? This case study puts OpenAI’s o3 model to the test by asking it to analyse Tony Blair’s 1996 “stakeholder economy” speech—a foundational text in New Labour rhetoric. The model'
Can large language models return accurate results when asked to find real academic texts written by specific philosophers on a specific topic? In this case, the topic was Marxist theory — and the instruction was to list peer-reviewed publications in which Gilles Deleuze or Michel Foucault offer a critique of it.
Can a generative AI model systematically identify and structure philosophical arguments from classic political texts? In this post, we put OpenAI’s o3 model to the test by applying it to a foundational work in early modern political thought: John Locke’s Second Treatise of Government. Focusing on Chapter II
What if philosophy students could go beyond reading about Kant and Hume — and instead step into their minds? What if, instead of summarising the Critique of Pure Reason, they became Hume and challenged Kant directly on causality, synthetic a priori knowledge, or the limits of metaphysics? This blog introduces a
As generative AI tools become increasingly integrated into academic practice, researchers are beginning to explore the use of Custom GPTs—personalised AI variants that operate according to predefined instructions, tone, or tasks. These agents can be configured for specific roles or workflows, such as teaching support, literature exploration, or data
Can a language model reason like a philosopher—not just mimic their tone, but follow and evaluate arguments with analytic precision? To explore this, we designed a two-step prompt experiment using Robert Nozick’s famous “Experience Machine” thought experiment. First, we instructed OpenAI’s o3 model to adopt the persona
What does Hegel really mean when he claims that “what is rational is actual, and what is actual is rational”? This widely quoted — and frequently misunderstood — statement from the Preface to the Philosophy of Right has been interpreted as everything from a defence of the political status quo to an
This case study examines the capabilities of OpenAI’s o3 model in interpreting and critically analysing classical philosophical texts. As of today, it is the most advanced language model released by OpenAI in terms of reasoning performance, and is particularly well-suited to delivering deeper comprehension and structured explanation of complex
Creating visualisations from raw meteorological data no longer requires programming skills. In this post, we demonstrate how researchers can generate a warming stripes diagram – a simple yet powerful visualisation of long-term temperature trends – using only a natural language prompt. We recommend using GPT-4o or GPT-4.5 for this task, as
Gemini 2.0 Flash proves to be a highly effective model for interpreting Python code in educational contexts. This post demonstrates how a concise and well-formulated prompt enables the model to generate clear, step-by-step explanations of a Jupyter Notebook. Its performance suggests that Gemini 2.0 Flash is a practical
As data visualisation becomes an increasingly integral part of communicating research and insights, the choice of generative AI models capable of handling both code and chart rendering has never been more important. In this post, we explore which models can be reliably used for visual tasks—such as generating Python-based
In this case study, we demonstrate how generative AI can be used to carry out a full data pre-processing and descriptive analysis workflow on the Nobel Prize dataset. Our objective was to prepare and explore the data in a methodologically sound manner—converting numerical types, handling missing values, verifying completeness,
