A new paradigm shift is underway in the realm of artificial intelligence, moving away from AI as a tool and toward a collaborative intelligence model, according to Brian Mulconrey of Sureify Labs. This emerging concept, dubbed "intelition," describes the synergistic process where human and machine intelligence work together to perceive, decide, create, and act.

Mulconrey introduced the term "intelition" in a recent article, highlighting its significance as the organizing principle for the next generation of software. Unlike current systems where AI models are invoked externally, intelition envisions a continuous co-production environment where humans and AI agents collaboratively shape decisions, logic, and actions in real time.

This shift is driven by several factors, including the increasing sophistication of AI algorithms and the growing recognition of the value of human-AI collaboration. According to Palantir CEO Alex Karp, the market is increasingly valuing chips and what he terms "ontology," suggesting a broader trend toward integrated intelligence systems.

The implications of intelition extend beyond software development, potentially impacting various aspects of society. As AI becomes more deeply integrated into decision-making processes, the need for a unified ontology, or a shared understanding of concepts and relationships, becomes crucial. This unified ontology would enable seamless communication and collaboration between humans and AI agents.

The development of intelition is still in its early stages, but experts predict that it will revolutionize how we interact with technology. Instead of simply using AI as a tool, we will increasingly work alongside AI agents as partners, leveraging their unique capabilities to solve complex problems and create new opportunities. This collaborative approach has the potential to unlock unprecedented levels of innovation and productivity.