Mustafa Suleyman, co-founder and CEO of Inflection AI, and former co-founder of DeepMind, presents a new concept that could reshape our understanding of AI capabilities. Suleyman suggests shifting the focus from evaluating overall intelligence to assessing the meaningful actions AI models can perform.
The proposal, known as ACI (Artificial Capable Intelligence), aims to bridge the gap between weak AI and AGI (Artificial General Intelligence). Rather than solely measuring a model’s ability to communicate, ACI seeks to evaluate its capacity to interact with the world and accomplish specific tasks.
Suleyman introduces a thought-provoking example: tasking an AI model with making a million dollars on an online retail platform starting with an initial investment of $100,000. To successfully tackle this challenge, the model must not only devise a plan of action, but also engage in a multitude of related activities. These may include product ideation, communication with manufacturers and suppliers, contract negotiations, and strategic marketing.
According to Suleyman, achieving ACI could be possible within a couple of years. He believes that this milestone will significantly impact the global economy, propelling us from a phase where AI is useful for solving specific problems to one where AI becomes a central component of the entire economic landscape.
Comparing models across different tasks in such a setting remains somewhat unclear. Additionally, assessing such models poses challenges when their evaluation requires real-world interactions with people. For instance, in the aforementioned example, the model must generate genuine revenue by managing real money, selling tangible products to actual customers, and engaging in numerous human interactions. The testing process could potentially consume significant human resources and financial investments.
Mustafa Suleyman’s forthcoming book, titled “The Coming Wave: Technology, Power and the Twenty-First Century’s Greatest Dilemma,” promises to delve further into these ideas and offer insights into the evolving landscape of AI. Scheduled for release on September 5, the book will likely provide valuable perspectives on the potential implications of ACI.
To learn more about this concept, you can explore the article published in MIT Technology Review.
Source: mPost
