A new paradigm called "intelition," where human and artificial intelligence work together in real-time, is poised to reshape the landscape of software and decision-making, according to Brian Mulconrey of Sureify Labs. This concept moves beyond the current model of AI as a tool invoked on demand, instead envisioning a continuous co-production environment where humans and AI agents collaboratively shape decisions, logic, and actions.

Mulconrey, in a recent analysis, described intelition as the organizing principle for the next wave of software, where humans and AI operate within a shared model of the enterprise. This contrasts with today's systems, which treat AI models as external entities, requiring users to prompt for responses or integrate human-in-the-loop steps into agentic workflows.

The shift towards intelition is driven by several forces, including the development of unified ontologies. Palantir CEO Alex Karp highlighted the importance of ontologies in a recent shareholder letter, arguing that the majority of market value will accrue to chips and ontologies, and that this trend is only the beginning of a larger transformation. An ontology, in this context, refers to a structured representation of knowledge that allows AI and humans to share a common understanding of data and concepts.

The implications of intelition extend beyond software development, potentially impacting how businesses operate and how decisions are made across various industries. By enabling real-time collaboration between humans and AI, intelition could lead to more efficient processes, improved accuracy, and enhanced creativity.

However, the rise of intelition also raises important questions about the future of work and the role of humans in an increasingly automated world. As AI becomes more integrated into decision-making processes, it will be crucial to ensure that human values and ethical considerations are taken into account.

The concept of intelition is still in its early stages, and its widespread adoption will require further advancements in AI technology, as well as careful consideration of the societal implications. Nevertheless, the shift towards continuous co-production between humans and AI represents a significant step towards a future where intelligence is not solely the domain of humans or machines, but a collaborative effort between the two.