OpenAI's head of Codex says the bottleneck to AGI is humanity's inability to type fast enough (www.businessinsider.com)

OpenAI's head of Codex, Alexander Embiricos, has identified human typing speed as a critical bottleneck in the pursuit of artificial general intelligence (AGI). Speaking on "Lenny's Podcast," he explained that current reliance on human-written prompts for AI review limits efficiency, suggesting that significant advancements will occur when AI agents can autonomously validate their outputs. This perspective underscores a pivotal shift needed in AI workflows, emphasizing a move toward systems where agents validate work independently, consequently alleviating the pressure on human users. Embiricos predicts that as AI tools evolve to require less human input, productivity could experience "hockey stick growth," a term that illustrates an abrupt increase in output following a period of stagnation. While he acknowledges that achieving full automation will demand tailored solutions for different use cases, he is optimistic about early adopters seeing productivity gains as soon as next year. This wave of increased efficiency in AI processes is anticipated to ultimately feed back into AI development, potentially accelerating the emergence of AGI, where AI can reason and operate comparably to humans.