Hugh Langley
Google has introduced an internal large language model called Goose to enhance employee productivity. This AI model, trained on 25 years of Google’s engineering expertise, aims to support the development of new products and provide assistance in various tasks, including answering technical queries, coding using internal tech stacks, and editing code based on natural language prompts.
The utilization of AI internally aligns with Google’s efficiency drive, which has involved job cuts and organizational restructuring. By incorporating AI into the product development process, Google aims to streamline operations and enhance overall efficiency.
Goose, developed collaboratively by Google Brain, DeepMind, and internal infrastructure teams, offers a 28k token context window, making it particularly valuable for development tasks, especially coding. Despite the emphasis on AI integration, Google emphasizes that AI is not displacing jobs but rather enhancing employee capabilities.
In addition to Goose, Google employs AI in various aspects of its operations, such as optimizing energy consumption in data centers and automating advertising decisions. Microsoft has also introduced AI tools like Copilot for internal teams to boost productivity.
For employees seeking assistance while using Goose, Google provides an internal chatbot named Duckie. The development of Goose underscores Google’s commitment to leveraging AI for improving internal processes and product development.
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