Experts suggest focusing on existing AI technologies

The conversation around artificial general intelligence (AGI) has been growing, but some in the AI field are questioning whether pursuing AGI is necessary. In a recent podcast episode of AI Daily Brief, Nathaniel Whittemore discussed an essay by Dave Pitman. They suggest that the focus should shift from developing new AI advancements to making better use of the technology we currently have. Whittemore argues that AGI, which would surpass human abilities in many areas, may not be a practical goal. Experts often emphasize that AI should assist humans, not replace them. If AI is meant to enhance human capabilities, aiming for AGI might be excessive, like using a heavy tool for a simple task. Another point made is the high costs associated with developing AGI. Whittemore introduces the concept of "self-sustaining escape velocity," meaning AI can improve itself based on focused goals without needing AGI. This method might lead to better outcomes without the complexities of creating a general intelligence. Pitman's essay elaborates on applying AI in targeted areas that allow continued improvement. For instance, summarizing legal contracts is a domain where AI can excel. In contrast, areas like contemporary performance art do not lend themselves well to systematic improvement. The podcast also highlights the importance of stable progress in AI development. Whittemore notes that many current AI models are underutilized. He argues that the focus should be on integrating existing capabilities into business processes rather than rushing to develop AGI. There are concerns about the ethical implications of pursuing AGI. As Edem Gold points out, while AGI could revolutionize many fields, it also carries risks. History shows that powerful technologies can have unintended consequences if not carefully managed. In conclusion, many experts suggest that before chasing AGI, it is crucial to enhance our understanding and application of current AI technologies.