Ludicity — from ludus, the Latin for play and game — is the capacity to explore, exploit, and explain AI systems through playful rigour: treating information not as sacred and fixed but as malleable and abundant, and pairing that creative freedom with the discipline of verification.
Where print literacy rested on the habits of the reader — close attention, critical evaluation, citation, respect for the authored text — Ludicity rests on the habits of the co-creator: iterative, curious, testing as it goes, disclosing what it has done.
The workbench, not the bookshelf. The lab partner, not the oracle. Information is clay, not scripture — and your job is to shape something true and useful from the material it offers.
Ludicity is model-agnostic and transferable. It will survive the next generation of AI tools, and the one after that. It is not a skill for the current moment. It is a literacy for the era.