I put together a small interactive tool on Hugging Face Spaces that lets you compare the political compass of four models (OpenAI GPT-4o, DeepSeek DeepSeek-chat-v3-0324, X-ai Grok-beta, MistralAI Mistral-large-2411) on a set of 62 political questions.
The purpose of the interface is more pedagogical (I do trainings on AI for the public at large) than political, and to offer a way to raise awareness about political biases between models or languages for non expert crowds.
It is still interesting though to observe how current state-of-the-art LLMs often lean left-of-center, and that some models (notably OpenAI's and DeepSeek's) seem to display _stronger left polarization_ when prompted in *French* as opposed to English.
The project is open-source on GitHub, and it should be easy to adapt it to other languages or even other ideological scales. Contributions or feedback welcome! https://github.com/Yannael/ai-political-bias
Thanks for your detailed feedback, much appreciated! I missed your answer so only replying now. I'm going to add a feature for having a way to switch between the high-level summary and a formatted transcript in each section (slightly rephrased/formatted for clarity), I will post here when ready, probably some time next week
I have been working on this app for the last weeks, as adding screenshots to video summaries help me remembering better the content (and also makes it more engaging to read the summary). And I could not find any video summarisation app that does that.
It basically creates visual video summaries (hence vi-su) with text and screenshots of the videos. GPT4 is used in the backend to generate the summary and select the screenshots to include.
I find it particularly useful for educational videos like courses, tutorials, conference talks, and documentaries where visuals matter.
The app is still in development, so there may be some quirks, but I’d now love to hear some feedback and suggestions for improvement. Thanks to try it out and share your thoughts!
Here an example of implementation you may find interesting (that also includes snapshots, and links back to original video) - https://github.com/Yannael/video2blogpost
The interface scores models along economic and social axes using political quiz data (Libertarian/Authoritarian, Left/Right), aiming to reproduce works like https://davidrozado.substack.com/p/new-results-of-state-of-t... or https://trackingai.org/political-test.
The purpose of the interface is more pedagogical (I do trainings on AI for the public at large) than political, and to offer a way to raise awareness about political biases between models or languages for non expert crowds.
It is still interesting though to observe how current state-of-the-art LLMs often lean left-of-center, and that some models (notably OpenAI's and DeepSeek's) seem to display _stronger left polarization_ when prompted in *French* as opposed to English.
The project is open-source on GitHub, and it should be easy to adapt it to other languages or even other ideological scales. Contributions or feedback welcome! https://github.com/Yannael/ai-political-bias