Gibberlink is an innovative protocol that enables AI agents to recognize when they’re communicating with each other and switch from human-like speech to a more efficient, sound-based language. This transition significantly speeds up their interactions, making them approximately 80% faster and more reliable.

The concept was introduced by developers Boris Starkov and Anton Pidkuiko during the ElevenLabs London Hackathon. They combined ElevenLabs’ Conversational AI technology with ggwave, an open-source data-over-sound library, to create a system where AI assistants detect when they’re conversing with another AI. Upon this realization, they switch from traditional speech to transmitting structured data over modulated sound waves, enhancing both speed and accuracy.

In practical terms, imagine two AI voice assistants initially speaking in human language. Once they identify each other as AI, they abandon spoken words and communicate through a series of modulated beeps and tones. This method reduces the time and potential errors associated with processing human language, allowing for more streamlined and effective AI-to-AI communication.

Gibberlink is open-source and available for developers to explore on GitHub. Its emergence has sparked discussions about the future of AI communication, highlighting the potential for machines to develop their own optimized languages, distinct from human speech.