The first keynote we watched in 2024! This Rabbit's goal is to revolutionize human-machine interaction through its advanced AI technology and user-oriented design.
This is it.— Dogan Ural (@doganuraldesign) January 9, 2024
This is the iPhone moment for the AI Era.
Rabbit OS is a personalized operating system developed by Rabbit Inc. It is designed to operate through a natural language interface and is hosted on dedicated, affordable consumer hardware.
The key technology behind Rabbit OS is the Large Action Model (LAM)
LAM is a novel foundation model that can understand and execute human actions on various applications, similar to how humans interact with interfaces.
The Rabbit OS is distinguished by its ability to handle not just basic tasks like searching for information or checking the weather, but also more complex activities such as conducting thorough research, booking travel options, or completing online shopping transactions.
This operating system is designed to work with popular apps and has an experimental feature that allows users to train their "rabbits" – personal AI agents – to perform specific tasks on niche apps and workflows.
The hardware device for Rabbit OS, known as r1, is a compact and intuitive companion device.
It facilitates the execution of everyday digital tasks more efficiently and with less distraction compared to typical smartphones. The r1 is equipped with features such as a touchscreen display, a push-to-talk button, a scroll wheel, and a motorized vision system for video calls and advanced computer vision applications.
Moreover, it boasts Wi-Fi and cellular connectivity, a MediaTek Helio P35 processor, 4 GB of memory, 128 GB of storage, and a USB-C port. The device is designed with privacy and security in mind, ensuring user credentials for third-party services are not stored, and the microphone and camera are only activated with user permission.
Rabbit Inc. is an AI startup based in Santa Monica, California, focused on developing AI hardware products and operating high-performance computing clusters for training large AI models.
The company has raised a total of $30 million in funding. This amount was gathered from key investors including Khosla Ventures, Synergis Capital, and KAKAO Investment.