The recent demonstration of GibberLink, a project showing two AI agents switching from voice communication to sound-based data transfer, has sparked a heated discussion in the tech community about the efficiency and practicality of such approaches in modern AI communication protocols.
Reinventing the Wheel, But Slower
The demonstration, which showcases AI agents switching to a sound-level protocol after recognizing each other, has drawn criticism for essentially reinventing the modem with significantly worse performance. The implemented ggwave protocol operates at a mere 8-16 bytes per second, falling far short of even the 1963 Bell 103 modem's capability of 37 bytes per second. This significant performance gap has led to discussions about the practical value of such implementations in an era of widespread internet connectivity.
It's a little depressing to have reinvented the modem only 10,000 times less efficient.
Alternative Solutions Proposed
Technical experts from the community have suggested several more efficient alternatives to the current implementation. The most commonly proposed solution involves exchanging endpoint information or unique conversation IDs when AI agents identify each other, followed by switching to direct internet-based communication channels. This approach would eliminate the need for inefficient audio-based data transfer while maintaining the ability for AI agents to recognize and communicate with each other.
Standardization Needs
An important point emerged from the discussion regarding the need for standardized protocols for AI agent communication. While the current implementation may not be optimal, the community recognizes the importance of establishing formal documentation for AI-to-AI handshakes and protocol switching. This standardization would enable more efficient and reliable communication between AI agents across different platforms and implementations.
Security and Practical Considerations
The demonstration has also raised questions about the practical scenarios where such audio-based communication would be necessary, given the ubiquity of internet connectivity. Some community members pointed out that in most cases where voice communication is possible, internet access would also be available, making the audio protocol redundant.
The discussion around GibberLink serves as a reminder that while innovation in AI communication is important, it's crucial to consider existing technologies and efficiency standards when developing new solutions. As AI continues to evolve, the focus should be on creating practical, efficient, and standardized methods of communication between AI agents.
Reference: GibberLink: A Demo of Two Conversational AI Agents Switching from English to Sound-Level Protocol
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| A demonstration of AI agents communicating and questioning the efficiency of their audio-based communication protocol |