I taught AI to commentate Pong in real time

In plain words

This project uses AI to provide live commentary for Pong games as they happen. The creator trained an AI model to watch and narrate Pong gameplay in real time, generating commentary that responds to the ball movement and player actions during matches. The work demonstrates AI's capability to analyze simple game states and produce contextual spoken or written descriptions. It's designed for anyone interested in AI applications, game commentary automation, or creative uses of machine learning models. The code is available on GitHub.

written from the facts on this page · September 2026

From the sources

As the name suggests, xPong is all about Pong — but with a twist: there’s LLM-based commentary generation integrated into the game. I’ve wanted to do this for the longest time — in fact, back in my undergrad days, I used to carry around a GitHub Gist to store such ideas, and an entry for this one dates back to Feb 16 2020. That’s five years! Anyway, for the longest time we never had the right technology to pull this off in a cost-effective, near-realtime manner. However, late last month, with OpenAI’s gpt-4o-mini-tts , we finally have the resources to do it! I envision a future where gpt-4o-mini-tts -like software is integrated on the edge. When that happens, next-generation gaming consoles…from github.com

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