Google has come up with an ambitious new project to build a single AI language model that supports the world's "1,000 most spoken languages." And as the first step towards its goal, the company has presented an AI model trained in over 400 languages, which it describes as "the largest language coverage seen in a speech model today." Language and AI have arguably always been close to the heart of Google's products, but current developments and advances in machine learning, most particularly the development of powerful, multi-functional "large language models" or LLMs have placed new emphasis on these domains.

Google has already started integrating these language models into some of its products like Google Search while fending off criticism about the systems' functionality. Language models exhibit a number of flaws, which includes a tendency to regurgitate harmful societal biases like racism and xenophobia, and an inability to parse language with human sensitivity. Google itself has secerately fired its own researchers after they published papers outlining these problems. These models are capable of performing many tasks, though, from language generation (like OpenAI's GPT-3) to translation (see Meta's No Language Left Behind work). Google's "1,000 Languages Initiative" is not targetting on any particular functionality, but instead on generating a single system with a huge breadth of knowledge across the world's languages.

The company comments it has no direct plans on where to apply the functionality of this model but only that it expects it will have a range of uses across Google's products, from Google Translate to YouTube captions and more.