Argument mapping is a useful method for visualising the logical structure of reasoning, particularly in complex or multi-step arguments. In this post, we examine how Claude 3.7 Sonnet performs when prompted to identify the structure of arguments and represent them visually. The model was given five tasks, each involving
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
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
