Using modern AI approaches such as OpenAI's GPT we created fully autonomous robot heads that engage in heated social media discussions, completely taking the human out of the loop. The TNG Innovation Hacking Team created a prototype of an end-to-end natural language understanding system, employing techniques such LLM Text Generation, Text-To-Speech (TTS) and Robotics.

Social media comments and threads have become the predominant medium for public discussion. However, discussions on X, Reddit and Facebook are notorious for their poor debate culture and missing conclusiveness. The obvious solution to this tremendous waste of time is automation of such fruitless discussions using an LLM powered bot.

In this talk, we will give an introduction to different facettes of Natural Language Processing while showcasing how we used them for building the Shitposting AI. Kicking things off, we take under the hood of LLMs: what makes them so powerful, how to collect your own shitposting dataset and how to constantly fine-tune your LLM on the newest data. We also take a look at the current state of the art of Text-To-Speech and how we built the robot heads. As custom for the TNG Innovation Hacking Team, we showcase these concepts with a plethora of live demos ending with the grand finale: A live, AI-powered robot discussion about the most pressing issues of the modern day.