The new programming language Mojo proposed by the creator of Swift has added a local execution version

Founded by Chris Lattner, the visionary behind the creation of Apple’s open-source programming language Swift, the artificial intelligence technology company Modular AI unveiled its innovative programming language, Mojo, this past May. Presently, a native execution version for the Linux platform has been launched, with subsequent iterations for Mac and Windows platforms anticipated.

Touted for its exceptional compatibility with widely used languages such as Python and C, Mojo aspires to expedite the evolution of artificial intelligence technologies. It endeavors to facilitate the modular expansion of AI, simultaneously enhancing the programmability of AI reliant on acceleration hardware like GPUs. Additionally, it ensures compatibility with acceleration hardware provided by titans like Intel, Arm, NVIDIA, and AMD.

Based on prior assessments, Mojo’s operational efficiency reportedly surpasses Python by an astounding 35,000 times. The language also merges the merits of dynamic and static languages, aiming to achieve an operational efficiency that’s approximately 68,000 times that of Python—a nearly twofold efficiency enhancement.

Currently, over 120,000 developers have registered to use the Mojo Playground. The release of the native download version, replete with the complete Mojo programming language suite, compiler, and IDE toolkit, signifies the empowerment of an even larger pool of developers to craft applications directly using this language. Beyond its previously highlighted compatibility with Python and C, an extension for VS Code has been rolled out. Integration with the open-source interactive computing software Jupyter further enables developers to utilize Mojo within the Jupyter environment. Developers can also inspect mixed application coding of Mojo, C, and C++ through the Mojo debugger.

As previously articulated, the modular and highly compatible open-source characteristics of the Mojo programming language are poised to accelerate the maturation of artificial intelligence technologies.