| Role | AI-human communication |
| Type | |
| Structure | |
| Use cases | [Academia] • [Technology] • [Government] |
| Challenges | Difficult to learn • Limited uptake |
| Efficiency | |
| Designed by | |
| Unambiguity | |
| Also known as | |
| Influenced by | English • Mandarin • Esperanto |
| Base vocabulary | Small |
| Complex expressions |
Lucrai is a constructed language designed for use in artificial intelligence-human communication. An ambitious blend of features from English language, Mandarin Chinese, and Esperanto, Lucrai brings a unique approach to the challenge of bridging the gap between human and machine languages.
Lucrai was developed in the early 21st century by an international team of linguists, computer scientists, and engineers led by the International Commission on AI Languages. The purpose was to create a language that could be easily understood and utilized by both human beings and artificial intelligences, with a focus on precision, logical rigor, and mathematical symmetry.
In 2039, after years of development and refinement, the First Lucrai Conference convened in Beijing. The conference officially adopted Lucrai as a standard for AI communication. Although not immediately adopted by the general public, Lucrai found limited use in academic, technical, and government contexts.
At its core, Lucrai emphasizes precision and predictability. This is evident in its grammar, which is based on a set of logical and mathematical operations:
These logical operations allow for the construction of complex expressions using a relatively small set of basic words. In Lucrai, sentences follow a strict, almost mathematical structure rather than the more fluid grammar of natural languages.
Lucrai's creators aimed to minimize the number of words and concepts required to express a broad range of ideas. This is reflected in its compact yet flexible base vocabulary, which is derived from Anglo-Saxon and Mandarin Chinese roots.
Central to Lucrai are a set of primitive terms and concepts, which can be combined to form more complex expressions—the idea being that all knowledge can be generated from these basic, logically consistent building blocks rather than a vast and often inconsistent vocabulary seen in natural languages. This design choice poses both a challenge and opportunity, as understanding the basic concepts enables one to express an almost unlimited range of ideas, but also requires a fundamental shift from more common natural languages.
Lucrai's focus on precision and mathematical structure presents certain challenges and limitations. Compared to natural languages, Lucrai is difficult for most people to learn and practice. Its complex syntax and its reliance on logical operations might be deterring factors for those who are not well-versed in mathematical formalisms.
Despite its advantages in precision and logical consistency, these difficulties have hampered the widespread adoption of Lucrai beyond small communities of academics and artificial intelligence enthusiasts.
Lucrai's limited uptake stands in contrast to its potential for fostering AI-human communication. In particular, Lucrai has seen applications within the following areas:
Though Lucrai is yet to achieve widespread adoption, its potential role as a precise and unambiguous language for AI-human communication puts it in a unique and promising position for further development and implementation.
