GPT-4 Omni Auto Coder instructed by GPT-4 omni

The video showcases an Auto Coder powered by GPT-4 Omni, demonstrating the generation of complex projects like a terrarium simulation, side-scrolling game, and diagramming app with up to 500 lines of code over 20 iterations. The Auto Coder allows for user-guided or automatic modes, offering features like fill shapes, pause animations, and tower defense games, with benefits for patrons including access to code files and courses.

In the video, an Auto Coder powered by GPT-4 Omni is showcased, with projects like a terrarium simulation, a side-scrolling game, a diagramming app, and canvas animations being demonstrated. The Auto Coder generated complex projects with up to 500 lines of code over 20 iterations. The projects included features like fill shapes, upgrades, pause and resume animations, and tower defense games with health bars and shooting projectiles. The Auto Coder had options for user-guided or automatic modes, allowing users to specify project details and select the number of iterations.

The process of running the Auto Coder involved choosing a project type, selecting the number of iterations, and specifying the model (such as GPT-4). The Auto Coder iteratively generated code based on user instructions, with new versions of projects evolving with each iteration. The video also mentioned benefits for becoming a patron, including access to code files, courses, and special tiers for one-on-one meetings. The Auto Coder’s ability to rapidly generate code and projects was highlighted, with examples showing the progression of projects over multiple iterations.

The video detailed the coding process, with classes like Grok Unified Cloud and Open AI being used to simplify coding tasks. The Auto Coder functioned by taking user inputs, running the GPT-4 model for code generation, and reviewing the generated code for improvements. It allowed for user-guided input and additional instructions to enhance the output. The Auto Coder also had features like file enumeration, system messages, and continuous code generation based on feedback from the user and code reviewer.

A demonstration of a terrarium simulation project generated by the Auto Coder was shown, with creatures interacting in a simulated environment. The video showed the evolution of the project over multiple iterations, with improvements in creature behavior, color changes, and movement speed. The code generated by the Auto Coder was described as error-free and open to modifications by the user. The process of generating, reviewing, and refining code was depicted as an iterative and collaborative effort between the user, GPT-4, and the code reviewer.

In addition to the Auto Coder, the video briefly mentioned another project called Auto Streamer Version 3, powered by GPT and Z Open AI API. This project allowed for real-time creation of course websites with audio capabilities, offering structured courses on various topics. The demo of Auto Streamer Version 3 showcased the generation of a course outline and website in light or dark mode. The video concluded by promoting the Auto Streamer project and offering a free demo download with limited features, along with a full version available on the creator’s Patreon for support.