A new paradigm called "intelition," where human and artificial intelligence work together continuously, is poised to reshape the software landscape, according to Brian Mulconrey of Sureify Labs. In a recent analysis, Mulconrey introduced the term "intelition" to describe the collaborative process by which humans and AI jointly perceive, decide, create, and act within a shared model of an enterprise. This concept moves beyond the current model where AI is invoked as a tool.

Mulconrey argues that current systems treat AI as something external, where users prompt responses or integrate human involvement into agent workflows. Intelition, however, envisions a future of continuous co-production, where people and AI agents collaboratively shape decisions, logic, and actions in real time. This shift, according to Mulconrey, is driven by several forces that are reshaping how software is developed and utilized.

The concept of a unified ontology is central to this shift. Palantir CEO Alex Karp highlighted the importance of chips and ontology in a recent shareholder letter, suggesting that they will capture the majority of market value. Ontology, in this context, refers to a structured representation of knowledge that allows both humans and AI to understand and interact with data in a consistent manner.

The implications of intelition extend beyond software development, potentially impacting various aspects of society. As AI becomes more integrated into decision-making processes, the lines between human and machine intelligence will blur, raising questions about responsibility, transparency, and control. The development of ethical guidelines and frameworks will be crucial to ensure that intelition is used responsibly and in a way that benefits society as a whole.

The evolution of AI is happening so rapidly that our existing vocabulary struggles to keep pace, Mulconrey noted. The need for new terms like "intelition" underscores the profound changes occurring in the field and the importance of developing a shared understanding of these concepts. As AI continues to evolve, ongoing dialogue and collaboration between researchers, policymakers, and the public will be essential to navigate the challenges and opportunities that lie ahead.