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
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
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
In two recent blog posts, we demonstrated how scanned PDFs can be processed using Mistral’s tools—first via a prompt-based approach in Mistral Le Chat, and then through the Mistral OCR API. Both methods effectively extracted readable, structured text from complex documents. But how well do other generative AI
In earlier explorations, we identified the GenAI models that appeared most promising for data visualisation tasks—models that demonstrated strong code generation capabilities, basic support for data wrangling, and compatibility with popular Python libraries such as Matplotlib and Seaborn. In this follow-up case study, we examine a different dimension: rather
Except for Claude 3.7 Sonnet, GPT-4o and GPT-4.5 (which we discussed in a separate post), all other GenAI models we tested encountered issues when asked to generate a simple bar chart from a CSV file. The limitations varied widely—from difficulties in reading the file and missing visualisation
If your goal is to generate a downloadable .txt file—be it for survey responses, formatted data, or any structured text—not all models can deliver. In this case study, we tested various models to see whether they can create actual .txt files rather than just displaying text or offering
With generative AI tools becoming increasingly common in academic workflows, many researchers are tempted to use them for tasks like journal selection. But can these models really help you decide where to publish? Our quick test in the field of legislative studies suggests: not just yet. We wanted to see
Generative AI models have become indispensable tools across industries, but their effectiveness often hinges on the types of input files they can process. Here, we assess the capabilities of leading GenAI interfaces—including Claude, ChatGPT, Gemini, Grok, etc.—examining their support for formats like PDF, JSON, and Python files, and
With the rapid advancement of GenI tools, researchers now have access to innovative ways to improve their manuscripts before journal submission. One such method involves using custom GPT-based reviewers to gain preliminary feedback. To practically evaluate the usefulness of these GPT-driven reviewing tools, we tested the Scientific Paper Reviewer – ChatGPT
