ArtificialIntelligence Introduces Live Commentary to Classic Pong Game
Experience Real-Time Commentary in Pong Matches, Thanks to AI Technology
Parth Parikh, a programmer, has developed an innovative AI project that brings the thrill of sports commentary to classic Pong games. The project features AI players and announcers, and you can watch the demonstration in a video shared online.
The 2:50 mark in the video highlights the gameplay itself. Although the project currently doesn't allow players to engage with the game, it seems feasible to integrate the technology with a little programming.
The AI system logs each action as an event, generates metrics, and prioritizes them. If significant events occur, commentary pauses to announce the event before resuming its usual commentary.
We hope to see a human-versus-AI version of this project in the future. If anyone takes on this challenge, it would be interesting to hear about it. Even if a human doesn't write the code, it's possible that the AI could do so, given the right parameters and inputs.
To enjoy the Pong commentary experience or recreate it yourself, you can access Parikh's project by following these steps:
- Watch the demonstration video, available on sites like Hackaday or YouTube.
- To replicate the project, you'll need to develop a Pong game, integrate the AI language model (LLM), and set up a commentary pipeline. This involves sending live game data to the LLM and displaying or speaking the generated commentary during gameplay.
- Consider using frameworks like MCP (Model Context Protocol) for connecting LLMs to external software.
For more information, you can explore articles and videos on Hackaday, or look for related videos on YouTube. You may also find inspiration in open-source projects on GitHub tagged with Pong, LLM, or AI commentary.
The AI project developed by Parikh, a programmer, combines programming and artificial-intelligence to bring sports commentary to classic Pong games, using technology. The AI system generates metrics and prioritizes significant events, even potentially writing code with the right parameters and inputs, demonstrating its formidable potential in the field of artificial-intelligence.
