Can GPT-4o watch and understand 10 videos at the same time?

The video described an experiment testing GPT-4’s ability to watch and understand 10 videos simultaneously by processing frames from multiple sources. Despite shuffling the frames and presenting them out of order, GPT-4 successfully generated accurate summaries for all videos, showcasing its potential for efficient video analysis and coding practices.

In the video, an experiment was conducted to test if GPT-4 could watch and understand 10 videos simultaneously. The process involved breaking down the videos into frames, shuffling them out of order, and sending them to GPT-4 for analysis. Three files were used for this experiment: one to process video frames, another to handle multiple videos, and a final one to send the frames to GPT-4 for generating summaries. The experiment aimed to challenge GPT-4 by presenting it with a complex task of processing frames from multiple videos simultaneously.

The video described the steps involved in the experiment, from extracting frames from videos using OpenCV to shuffling and sending them to GPT-4 for analysis. The frames were described, including scenes of birds, cars, flowers, penguins, and more. Despite shuffling the frames and presenting them out of order, GPT-4 successfully generated accurate summaries for all 10 videos. The experiment showcased the impressive capabilities of GPT-4 in understanding and describing visual content from multiple sources.

The experiment highlighted the potential of using AI tools like GPT-4 for fast and efficient video analysis. The video creator offered the project files on Patreon, along with a Master Class on coding with AI tools. Becoming a patron would provide access to code files, courses, and one-on-one interactions with the creator. The video emphasized the benefits of using AI tools for quick iteration and efficient coding practices, encouraging viewers to explore the possibilities of integrating AI into their projects.

Detailed explanations were provided for the functions and processes involved in the experiment, such as extracting frames, converting images to base64, shuffling frames, and sending them for analysis. The code files used in the experiment were made available on Patreon for those interested in exploring AI-driven video analysis further. The video concluded with an invitation for viewers to subscribe, share feedback, and consider becoming a patron to access more resources and courses on AI tools and coding practices.

Overall, the video demonstrated the successful use of GPT-4 for simultaneously analyzing frames from 10 videos, showcasing its ability to process visual information and generate accurate summaries. The experiment highlighted the potential applications of AI tools in video analysis and coding practices, offering viewers an insight into the capabilities of cutting-edge technologies for handling complex tasks efficiently. The video encouraged viewers to explore AI tools further and consider leveraging them in their projects for improved efficiency and productivity.