The video showcases OpenAI’s new tools for building AI agents, including the web search and computer use APIs, with a hands-on demonstration of setting up a Docker container to navigate the web and execute programming tasks. Additionally, the presenter explores Google’s Gemini 2.0 image manipulation capabilities, highlighting the potential for creative applications in both AI agent functionality and image editing.
In the video, the presenter explores new tools released by OpenAI for building AI agents, focusing on the new responses API and the web search API. They demonstrate how to set up a Docker container provided by OpenAI to navigate web browsers using the computer use model. The presenter also mentions an SDK released by OpenAI but decides to skip it for this session, suggesting viewers check it out independently. The video aims to provide a hands-on experience with these tools, showcasing their capabilities.
The presenter begins by preparing the environment for coding, including gathering documentation on the web search and computer use APIs. They create a directory with the necessary files and a Dockerfile, which they plan to upload to GitHub for others to access. The first task involves using the web search API to find information about “Manus AI.” The presenter uses CL code to generate Python code that interacts with the API, successfully retrieving web search results and displaying them in a user-friendly HTML format.
Next, the video shifts focus to the computer use model, where the presenter aims to execute more complex tasks. They prompt CL code to create Python code that utilizes the computer use API within the Docker environment. After some troubleshooting, they manage to connect to the Docker VM and test the agent’s ability to navigate the web. The presenter gives the agent instructions to find information about Gemini robotics, demonstrating its capability to perform web searches and interact with web pages.
The presenter then attempts to expand the agent’s functionality by asking it to create a Python file that adds two integers. After encountering some safety checks that prevent the agent from executing certain commands, they modify the code to bypass these checks. Eventually, they succeed in executing the Python code within the terminal of the virtual machine, showcasing the agent’s ability to perform programming tasks beyond just browsing the web.
In the latter part of the video, the presenter explores Google’s Gemini 2.0 image manipulation capabilities. They demonstrate how to upload and alter images, such as changing hairstyles and modifying car designs. The presenter tests various prompts to see how well the model retains image consistency while making changes. Overall, the video highlights the exciting potential of OpenAI’s new tools and Google’s image manipulation features, encouraging viewers to experiment with these technologies for creative applications.