In a recent episode of the podcast, Alexander Embiricos, the product lead at OpenAI Codex, shared his views on the future development of Artificial General Intelligence (AGI). He pointed out that human typing speed has become a major bottleneck for AGI progress, as people still need to guide AI by writing prompts and manually check and verify the results generated by AI.

Robot Typing

Image source note: The image is AI-generated, and the image licensing service is Midjourney.

Embiricos emphasized that although agents can observe human work processes, if they cannot automatically verify the results, humans still need to spend a lot of time reviewing the generated content. This dependency limits the speed of AGI development and becomes an obstacle for future growth.

He mentioned that the key to solving this issue lies in freeing humans, allowing AI to work independently without human intervention. If systems can be restructured so that agents can perform tasks by default without assistance, it could lead to a "hockey stick growth" pattern, which typically shows slow initial growth followed by rapid acceleration.

Although fully automated workflows are not simple to implement and each scenario requires customized solutions, Embiricos believes that significant progress will soon be seen in this area. He predicts that AGI will be applied in the "middle layer," with early users experiencing a significant increase in productivity, while tech giants will need time to achieve full automation.

He concluded that the rapid development of AGI requires the introduction of new technologies and system restructuring to better adapt to future work demands.

Key points:

🔑 Human typing speed is the main bottleneck for AGI development, requiring manual prompt writing and result verification.  

🚀 The solution lies in restructuring the system to allow agents to work autonomously by default.  

📈 Expect a "hockey stick growth" pattern, with early users significantly improving productivity.