AI Is Breaking Free Of Token-Based LLMs By Upping The Ante To Large Concept Models That Devour Sentences And Adore Concepts.Electronics Show (CES) in Las Vegas, Nevada on January 10, 2024. (Photo by Frederic J. BROWN / AFP) (Photo by FREDERIC J. BROWN/AFP via Getty Images). In this announcement, Sam Altman noted that, in 2025, we may start to see AI agents join the workforce. As a business leader, you may be wondering what this frenetic pace of AI innovation means for your business.
One place to start is to ask - is my organization AI Native?Before the recent arrivals of Generative AI and Large Language Models, adopting AI in an organization focused on finding an important business problem that AI can assist with, building or leveraging an AI model for this problem, and iterative improvement of the solution. While this remains a good goal, the ubiquity of productivity improvement AIs in the last few years has created another adoption opportunity - leveraging AI in the everyday operations of your business and work.To understand what it means to be AI Native, consider other examples. Depending on what your business does, it is still safe to say that in this day, many businesses are phone native and internet native. Your employees know how to use phones and the internet as needed to do their jobs as effectively as possible. You have some rules on proper usage of these technologies (such as not putting company private data on the internet), provide some tools for all employees to use, and rely on employee selection for other tools.What Does AI Native Mean? Armed with these analogies, we can start to define AI Native. I consider an AI Native organization to be one where AI exists seamlessly at every level and aspect of the business, with humans using AI tools to accelerate, offload and automate any part of the business for which the tools generate valu