What’s Coming For ChatGPT in 2025

The podcast discusses the future of artificial intelligence, specifically ChatGPT and other similar tools, and the potential impact on various industries. The podcast highlights the rapid development of agentic coding frameworks and their potential to disrupt existing software companies, as well as the importance of interpretability and the need for better user interfaces.

ChatGPT's 2nd Anniversary

• 00:08:07 The podcast commemorates the two-year anniversary of ChatGPT's release. The speaker discusses the impact of ChatGPT on his own career, and the diverse ways users have adopted the tool in their everyday lives. He emphasizes the potential for ChatGPT to revolutionize various industries, particularly software development and education.

Agentic Coding Frameworks

• 00:24:01 The discussion focuses on the future of agentic coding frameworks, which are software tools that allow users to build applications with minimal coding experience. The speaker highlights the potential for these frameworks to significantly reduce the cost of software development, leading to a new economy of freelance coders who can build customized tools for businesses. He predicts that the skills needed in this field will shift from traditional coding to project management and understanding how different software components interact.

Interpretability

• 00:38:42 The podcast explores the importance of interpretability in AI models, particularly large language models (LLMs). The speaker believes that understanding the internal workings of LLMs will be crucial for improving their reliability and safety, as well as for enabling users to better control and customize their outputs. He highlights Anthropic's work on interpretability and the potential for significant progress in this area in the coming years.

Model Context Protocol

• 00:41:04 The podcast discusses Anthropic's recent release of the Model Context Protocol, which enables users to connect external tools and functionalities directly to LLMs. The speaker believes this protocol has the potential to significantly expand the capabilities of LLMs, allowing them to integrate with other software systems and perform a wider range of tasks. He acknowledges, however, that the early versions of this technology are still unreliable and require further development.

Long Outputs

• 00:49:51 The discussion highlights the benefits of using the 01 series of AI models, particularly 01 mini, for tasks that require longer outputs, such as writing long-form content or generating complex code. The speaker emphasizes the importance of these models in expanding the capabilities of LLMs beyond their traditional limits.

UX Convergence

• 00:58:25 The podcast argues that the various AI tools and models currently available will converge into a single, unified platform in the future. This platform will allow users to interact with LLMs through a single interface, regardless of the specific task or the underlying models being used. The speaker envisions a future where users can simply state their desired outcome, and the platform will automatically choose the appropriate tools and models to achieve it.

AI in Creative Industries

• 01:14:43 The discussion turns to the future of AI in the creative industries, particularly in film and video production. The speaker believes that the convergence of different AI tools will enable users to create high-quality animated videos and even feature-length films with minimal effort, through a single prompt. He highlights the potential for AI to disrupt the traditional workflow in these industries, making film production more accessible and efficient.

AI and the Military

• 01:30:53 The podcast briefly addresses the potential impact of AI on the military. The speaker acknowledges the growing interest of large AI companies in military projects, and the potential for AI to play a significant role in future warfare. He expresses concerns about the ethical implications of this development, but ultimately acknowledges its inevitability.