Coding will be central to the future of OpenAI, enabling models to create custom programs and interact with the world.

Using large language models as prototyping tools can be effective; they allow for rapid development and testing of ideas before creating more specialized models tailored to specific tasks.

For beginners, tools like Replit or Lovable offer a user-friendly interface to experiment with coding directly, bypassing traditional mock-up designs.

Canvas is an interactive space for collaboration with ChatGPT, enabling users to build prototypes without coding experience.

In Canvas, users can edit code directly and ask questions, facilitating a more interactive and user-friendly prototyping experience, such as creating a quick prototype of a unified analytics dashboard and interacting with it live.

OpenAI's latest model, o1, is gaining traction among developers, with 15% of the summer batch already using it despite its recent release.

The ability to connect AI models and generate user interfaces from their responses is a key feature of Vercel's open-sourced AI SDK, enabling rapid development of AI-driven applications.

When using AI for coding, there is often a gap between the code generated by AI and the user's ability to modify it effectively, highlighting the need for better tools.

I think we have Jarvis today in the form of Operator, which is the most underappreciated new OpenAI launch. It allows anyone to use the web as a control surface to do anything, making every UI essentially an API.