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
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
As ChatGPT is increasingly used in academic research, understanding how to manage privacy, control data usage, and make informed choices about sharing outputs has become essential. While our previous blog post focused on configuring the ChatGPT interface—through settings such as personalisation, memory, and model selection—this follow-up explores tools
One of the key promises of recent generative AI models is their ability to process not only text and images but also audio and video content. GPT-4.5, with its apparent support for MP3 and MP4 file uploads, seems like an ideal tool for tasks such as transcription — particularly for
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
As GenAI tools become increasingly embedded in academic workflows, researchers seek ways to tailor these systems to their specific needs. OpenAI’s ChatGPT interface offers a number of personalisation options and privacy-focused features that can significantly enhance research efficiency, consistency, and ethical compliance. This blog post introduces the key settings
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,
