Building a Lissajous Animation Using Gemini 2.5 Pro

In this episode, Jason Hand and Ryan MacLean delve into the capabilities of Gemini 2.5 Pro, a state-of-the-art AI model released by Google. The discussion begins with an overview of their personal experiences experimenting with the model, highlighting its impressive features such as a million token context window and effective context caching which significantly aids in handling large projects like the AI Tools Lab site. Ryan shares his prior engagement with the model’s coding functionalities, appreciating its capacity to manage broader scopes without issues unlike previous models. The conversation takes a hands-on turn as Jason demonstrates creating an animated Lissajous Figure using Gemini 2.5 Pro by generating HTML, JavaScript, and CSS code that enables user-interaction through adjustable variables. This practical application not only showcases the model’s computational speed—producing sophisticated outputs in seconds—but also illustrates its potential as an educational tool blending math, science, and programming. As they wrap up, both express enthusiasm about future explorations into similar mathematical visualizations using Gemini 2.5 Pro.