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The gibberlink project achieves a significant increase in inter-AI communication efficiency through the following steps:
- Protocol switching mechanism: When the AI recognizes the other party as a kindred spirit, it automatically switches from English to a ggwave-based sound-level protocol. This protocol transmits data via high-frequency sound waves at speeds that far exceed the human language parsing process.
- Technology realization path::
- modifications
src/components/ConvAI.tsxInitial dialog logic to ensure accurate identification in the - align
startRecording()Trigger threshold for the function - Optimize audio codec parameters with ggwave library
- modifications
- Hardware Optimization Recommendations: The use of directional microphones reduces interference from ambient noise, and setting the device sampling rate to 44.1kHz or higher supports data transmission over a wider frequency band.
Supplementary tests have shown that in quiet environments the solution can achieve 3-5 times the data throughput of traditional voice communications. Developers may also try to modifysrc/lib/gibberish.tsThe frequency combination scheme in further optimizes the transmission efficiency.
This answer comes from the articlegibberlink: a demonstration project for efficient audio communication between two AI intelligencesThe
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