End-User Programmable AI
15 days ago
- #knowledge-workers
- #AI-safety
- #programming-languages
- Introduction of Universalis, a new programming language designed for knowledge workers, optimized for execution by Automind, and inspired by Leibniz's vision of a universal science.
- Universalis simplifies programming by focusing on readability and natural language-like syntax, making it accessible to non-programmers.
- Example provided demonstrates how Universalis can translate a natural language question about profit calculation into executable code.
- Universalis supports pre- and post-conditions for ensuring program correctness and AI safety, similar to Excel's data-validation rules.
- The language handles complex operations like conditionals, implicit looping over collections, and query comprehensions, making advanced data manipulations accessible.
- Pattern matching in Universalis simplifies working with complex JSON data, enabling users to extract specific information easily.
- Universalis is designed to be minimal and intuitive, avoiding feature bloat while supporting sequential composition, implicit looping, and nested queries.
- The article highlights the potential of Universalis to democratize programming by bridging the gap between human intent and machine execution.