GibberLink a high-speed AI voice communication protocol

In the current world, where artificial intelligence is developing very fast, voice assistants are an essential part of our life, which helps to perform such tasks as making notes, controlling smart devices at home, etc.  As these assistants are used more and more often, the effectiveness of the communication with them, including the inter-AI communication, has become an important issue.  Enter GibberLink.  Gibberlink a high-speed AI voice communication protocol introduced by ElevenLabs that is expected to change the way AI voice assistants communicate when placing a telephone call.​ (1)

The Genesis of GibberLink A High-Speed AI Voice Communication Protocol

At the ElevenLabs London Hackathon, developers Boris Starkov and Anton Pidkuiko introduced GibberLink, a protocol for improving AI-to-AI conversations. They saw that human language was inefficient for machine communication and sought a better solution. GibberLink lets AI agents detect when they are speaking to another AI and switch to a sound-based language using audio signals. This enhances speech synthesis and recognition, leading to faster and more accurate conversations. (2) (3)

How GibberLink Works

GibberLink, a high-speed AI voice communication protocol, uses the ggwave library, an open-source data-over-sound API. This allows AI assistants to communicate using modulated sound waves. When two AI agents detect each other, they switch to this method instead of a human-like tone. This improves communication speed and accuracy by reducing natural language processing errors. AI systems focus on delivering information rather than interpreting message meaning.. ​ (4) (5)

Implications for AI Voice Assistants

GibberLink is finally here, and this is a major leap in the growth of AI voice assistants. Hence, AI systems can perform their functions effectively due to the use of a high-speed communication channel, especially in environments where many assistants are present. For example, in customer service centers, the different AI representatives that are responsible for various aspects of a single query can work in harmony and thus reduce the time it takes to respond to the client.​ (6)

This development enables more complex and adaptive AI conversations. AI assistants can engage in real-time, high-speed discussions for cooperative problem-solving. This leads to smarter and more context-aware responses. It enhances user experience and broadens AI voice technology’s applications across society.

The Future: What is After GibberLink?

The birth of GibberLink is a clear indication of the innovation that is still going on in the AI sector. Looking forward, there are several developments:​

Defining of AI Communication Protocols: This is because GibberLink has been successful, there is a need to define rules through which AI agents can talk to one another. Such standards would help to ensure that all AI devices are able to communicate with one another without any complication.​ (7)

Improved Security Postures: As the AI assistants start to work autonomously, the security and privacy of the conversations that take place cannot be ignored. It will be important to develop strong encryption and authentication tools to ensure that data is secure and not altered or intercepted.​

Integration with Human-AI Interaction: AI-to-AI communication is advancing, but integrating it into human-AI interactions is essential. Balancing machine efficiency with user-friendly design will ensure accessible and effective AI assistants.

Expansion into New Domains: High-speed AI communication protocols like GibberLink can benefit industries such as healthcare, finance, and education. Faster AI interactions improve information exchange, leading to more efficient and effective operations.

Conclusion

GibberLink is a major step forward for AI voice assistants, redefining how machines communicate in their own language. This innovation enhances AI interactions and paves the way for future advancements. As technology evolves, AI systems working together can improve automation, efficiency, and user experience.​ (8)

To see GibberLink in practice, you can watch the video that demonstrates how two AI agents move to this new communication format. ​Watch The Video.

As we are on the verge of this technological revolution, it is crucial to comprehend these developments and embrace them as they can greatly benefit AI voice assistants in our daily lives and businesses.

About the Author

Paul Di Benedetto is a seasoned business executive with over two decades of experience in the technology industry. Currently serving as the Chief Technology Officer at Syntheia, Paul has been instrumental in driving the company’s technology strategy, forging new partnerships, and expanding its footprint in the conversational AI space.

Paul’s career is marked by a series of successful ventures. He is the co-founder and former Chief Technology Officer of Drone Delivery Canada.  In the pivotal role as Chief Technology Officer, he lead in engineering and strategy. Prior to that, Paul co-founded Data Centers Canada, a startup that achieved a remarkable ~1900% ROI in just 3.5 years.  That business venture was acquired by Terago Networks. Over the years, he has built, operated, and divested various companies in managed services, hosting, data center construction, and wireless broadband networks.

At Syntheia, Paul continues to leverage his vast experience to make cutting-edge AI accessible and practical for businesses worldwide, helping to redefine how enterprises manage inbound communications.